Elasticsearch

edit

Version

1.15.3 (View all)

Compatible Kibana version(s)

8.10.1 or higher

Supported Serverless project types
What’s this?

Security
Observability

Subscription level
What’s this?

Basic

The elasticsearch package collects metrics and logs of Elasticsearch.

Compatibility

edit

The elasticsearch package can monitor Elasticsearch 8.5.0 and later.

Logs

edit

Configure the var.paths setting to point to JSON logs.

Audit
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Exported fields
Field Description Type

@timestamp

Event timestamp.

date

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.audit.action

The name of the action that was executed

keyword

elasticsearch.audit.authentication.type

keyword

elasticsearch.audit.component

keyword

elasticsearch.audit.event_type

The type of event that occurred: anonymous_access_denied, authentication_failed, access_denied, access_granted, connection_granted, connection_denied, tampered_request, run_as_granted, run_as_denied

keyword

elasticsearch.audit.indices

Indices accessed by action

keyword

elasticsearch.audit.invalidate.apikeys.owned_by_authenticated_user

boolean

elasticsearch.audit.layer

The layer from which this event originated: rest, transport or ip_filter

keyword

elasticsearch.audit.message

text

elasticsearch.audit.opaque_id

keyword

elasticsearch.audit.origin.type

Where the request originated: rest (request originated from a REST API request), transport (request was received on the transport channel), local_node (the local node issued the request)

keyword

elasticsearch.audit.realm

The authentication realm the authentication was validated against

keyword

elasticsearch.audit.request.id

Unique ID of request

keyword

elasticsearch.audit.request.name

The type of request that was executed

keyword

elasticsearch.audit.url.params

REST URI parameters

keyword

elasticsearch.audit.user.realm

The user’s authentication realm, if authenticated

keyword

elasticsearch.audit.user.roles

Roles to which the principal belongs

keyword

elasticsearch.audit.user.run_as.name

keyword

elasticsearch.audit.user.run_as.realm

keyword

elasticsearch.cluster.name

Name of the cluster

keyword

elasticsearch.cluster.uuid

UUID of the cluster

keyword

elasticsearch.component

Elasticsearch component from where the log event originated

keyword

elasticsearch.index.id

Index id

keyword

elasticsearch.index.name

Index name

keyword

elasticsearch.node.id

ID of the node

keyword

elasticsearch.node.name

Name of the node

keyword

elasticsearch.shard.id

Id of the shard

keyword

event.created

event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.

date

event.ingested

Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.

date

event.module

Event module

constant_keyword

http

Fields related to HTTP activity. Use the url field set to store the url of the request.

group

http.request.body.content

The full HTTP request body.

wildcard

http.request.body.content.text

Multi-field of http.request.body.content.

match_only_text

http.request.id

A unique identifier for each HTTP request to correlate logs between clients and servers in transactions. The id may be contained in a non-standard HTTP header, such as X-Request-ID or X-Correlation-ID.

keyword

http.request.method

HTTP request method. The value should retain its casing from the original event. For example, GET, get, and GeT are all considered valid values for this field.

keyword

input.type

keyword

log.file.path

Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field.

keyword

log.level

Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.

keyword

log.offset

long

message

For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.

match_only_text

related.user

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source

Source fields capture details about the sender of a network exchange/packet. These fields are populated from a network event, packet, or other event containing details of a network transaction. Source fields are usually populated in conjunction with destination fields. The source and destination fields are considered the baseline and should always be filled if an event contains source and destination details from a network transaction. If the event also contains identification of the client and server roles, then the client and server fields should also be populated.

group

source.address

Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.

keyword

source.ip

IP address of the source (IPv4 or IPv6).

ip

source.port

Port of the source.

long

trace.id

Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services.

keyword

url

URL fields provide support for complete or partial URLs, and supports the breaking down into scheme, domain, path, and so on.

group

url.original

Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.

wildcard

url.original.text

Multi-field of url.original.

match_only_text

user

The user fields describe information about the user that is relevant to the event. Fields can have one entry or multiple entries. If a user has more than one id, provide an array that includes all of them.

group

user.name

Short name or login of the user.

keyword

user.name.text

Multi-field of user.name.

match_only_text

Deprecation
edit
Exported fields
Field Description Type

@timestamp

Event timestamp.

date

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.name

Name of the cluster

keyword

elasticsearch.cluster.uuid

UUID of the cluster

keyword

elasticsearch.component

Elasticsearch component from where the log event originated

keyword

elasticsearch.elastic_product_origin

keyword

elasticsearch.event.category

keyword

elasticsearch.http.request.x_opaque_id

keyword

elasticsearch.index.id

Index id

keyword

elasticsearch.index.name

Index name

keyword

elasticsearch.node.id

ID of the node

keyword

elasticsearch.node.name

Name of the node

keyword

elasticsearch.shard.id

Id of the shard

keyword

event.category

This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.

keyword

event.created

event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.

date

event.ingested

Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.

date

event.kind

This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.

keyword

event.module

Event module

constant_keyword

event.original

Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.

keyword

event.type

This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.

keyword

host.ip

Host ip addresses.

ip

input.type

keyword

log.file.path

Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field.

keyword

log.level

Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.

keyword

log.logger

The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.

keyword

log.offset

long

message

For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.

match_only_text

process.thread.name

Thread name.

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

trace.id

Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services.

keyword

Garbage collection
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Exported fields
Field Description Type

@timestamp

Event timestamp.

date

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.name

Name of the cluster

keyword

elasticsearch.cluster.uuid

UUID of the cluster

keyword

elasticsearch.component

Elasticsearch component from where the log event originated

keyword

elasticsearch.gc.heap.size_kb

Total heap size in kilobytes.

integer

elasticsearch.gc.heap.used_kb

Used heap in kilobytes.

integer

elasticsearch.gc.jvm_runtime_sec

The time from JVM start up in seconds, as a floating point number.

float

elasticsearch.gc.old_gen.size_kb

Total size of old generation in kilobytes.

integer

elasticsearch.gc.old_gen.used_kb

Old generation occupancy in kilobytes.

integer

elasticsearch.gc.phase.class_unload_time_sec

Time spent unloading unused classes in seconds.

float

elasticsearch.gc.phase.cpu_time.real_sec

Total elapsed CPU time spent to complete the collection from start to finish.

float

elasticsearch.gc.phase.cpu_time.sys_sec

CPU time spent inside the kernel.

float

elasticsearch.gc.phase.cpu_time.user_sec

CPU time spent outside the kernel.

float

elasticsearch.gc.phase.duration_sec

Collection phase duration according to the Java virtual machine.

float

elasticsearch.gc.phase.name

Name of the GC collection phase.

keyword

elasticsearch.gc.phase.parallel_rescan_time_sec

Time spent in seconds marking live objects while application is stopped.

float

elasticsearch.gc.phase.scrub_string_table_time_sec

Pause time in seconds cleaning up string tables.

float

elasticsearch.gc.phase.scrub_symbol_table_time_sec

Pause time in seconds cleaning up symbol tables.

float

elasticsearch.gc.phase.weak_refs_processing_time_sec

Time spent processing weak references in seconds.

float

elasticsearch.gc.stopping_threads_time_sec

Time took to stop threads seconds.

float

elasticsearch.gc.tags

GC logging tags.

keyword

elasticsearch.gc.threads_total_stop_time_sec

Garbage collection threads total stop time seconds.

float

elasticsearch.gc.young_gen.size_kb

Total size of young generation in kilobytes.

integer

elasticsearch.gc.young_gen.used_kb

Young generation occupancy in kilobytes.

integer

elasticsearch.index.id

Index id

keyword

elasticsearch.index.name

Index name

keyword

elasticsearch.node.id

ID of the node

keyword

elasticsearch.node.name

Name of the node

keyword

elasticsearch.shard.id

Id of the shard

keyword

event.category

This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.

keyword

event.created

event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.

date

event.ingested

Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.

date

event.kind

This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.

keyword

event.module

Event module

constant_keyword

event.original

Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.

keyword

event.type

This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.

keyword

host.ip

Host ip addresses.

ip

input.type

keyword

log.file.path

Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field.

keyword

log.level

Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.

keyword

log.offset

long

message

For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.

match_only_text

process.pid

Process id.

long

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

Server
edit
Exported fields
Field Description Type

@timestamp

Event timestamp.

date

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.name

Name of the cluster

keyword

elasticsearch.cluster.uuid

UUID of the cluster

keyword

elasticsearch.component

Elasticsearch component from where the log event originated

keyword

elasticsearch.index.id

Index id

keyword

elasticsearch.index.name

Index name

keyword

elasticsearch.node.id

ID of the node

keyword

elasticsearch.node.name

Name of the node

keyword

elasticsearch.server.gc.collection_duration.ms

Time spent in GC, in milliseconds

float

elasticsearch.server.gc.observation_duration.ms

Total time over which collection was observed, in milliseconds

float

elasticsearch.server.gc.overhead_seq

Sequence number

long

elasticsearch.server.gc.young.one

long

elasticsearch.server.gc.young.two

long

elasticsearch.server.stacktrace

keyword

elasticsearch.server.tags

keyword

elasticsearch.server.trace.id

keyword

elasticsearch.shard.id

Id of the shard

keyword

event.category

This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.

keyword

event.created

event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.

date

event.ingested

Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.

date

event.kind

This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.

keyword

event.module

Event module

constant_keyword

event.original

Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.

keyword

event.type

This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.

keyword

host.ip

Host ip addresses.

ip

input.type

keyword

log.file.path

Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field.

keyword

log.level

Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.

keyword

log.logger

The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.

keyword

log.offset

long

message

For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.

match_only_text

process.thread.name

Thread name.

keyword

server.name

keyword

server.type

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

trace.id

Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services.

keyword

Slowlog
edit
Exported fields
Field Description Type

@timestamp

Event timestamp.

date

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.name

Name of the cluster

keyword

elasticsearch.cluster.uuid

UUID of the cluster

keyword

elasticsearch.component

Elasticsearch component from where the log event originated

keyword

elasticsearch.index.id

Index id

keyword

elasticsearch.index.name

Index name

keyword

elasticsearch.node.id

ID of the node

keyword

elasticsearch.node.name

Name of the node

keyword

elasticsearch.shard.id

Id of the shard

keyword

elasticsearch.slowlog.extra_source

Extra source information

keyword

elasticsearch.slowlog.id

Id

keyword

elasticsearch.slowlog.logger

Logger name

keyword

elasticsearch.slowlog.routing

Routing

keyword

elasticsearch.slowlog.search_type

Search type

keyword

elasticsearch.slowlog.source

Source of document that was indexed

keyword

elasticsearch.slowlog.source_query

Slow query

keyword

elasticsearch.slowlog.stats

Stats groups

keyword

elasticsearch.slowlog.took

Time it took to execute the query

keyword

elasticsearch.slowlog.total_hits

Total hits

keyword

elasticsearch.slowlog.total_shards

Total queried shards

long

elasticsearch.slowlog.type

Type

keyword

elasticsearch.slowlog.types

Types

keyword

event.category

This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.

keyword

event.created

event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent’s or pipeline’s ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.

date

event.ingested

Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It’s also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.

date

event.kind

This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.

keyword

event.module

Event module

constant_keyword

event.original

Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.

keyword

event.type

This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.

keyword

input.type

keyword

log.file.path

Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn’t read from a log file, do not populate this field.

keyword

log.level

Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn’t specify one, you may put your event transport’s severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.

keyword

log.logger

The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.

keyword

log.offset

long

message

For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.

match_only_text

process.thread.name

Thread name.

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

trace.id

Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services.

keyword

Metrics

edit
Usage for Stack Monitoring
edit

The elasticsearch package can be used to collect logs and metrics shown in our Stack Monitoring UI in Kibana.

Metric-specific configuration notes
edit

Like other package, elasticsearch metrics collection accepts a hosts configuration setting. This setting can contain a list of entries. The related scope setting determines how each entry in the hosts list is interpreted by the module.

  • If scope is set to node (default), each entry in the hosts list indicates a distinct node in an Elasticsearch cluster.
  • If scope is set to cluster, each entry in the hosts list indicates a single endpoint for a distinct Elasticsearch cluster (for example, a load-balancing proxy fronting the cluster).
Cross Cluster Replication
edit

CCR It uses the Cross-Cluster Replication Stats API endpoint to fetch metrics about cross-cluster replication from the Elasticsearch clusters that are participating in cross-cluster replication.

If the Elasticsearch cluster does not have cross-cluster replication enabled, this package will not collect metrics. A DEBUG log message about this will be emitted in the log.

Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

ccr_auto_follow_stats.follower.failed_read_requests

alias

ccr_auto_follow_stats.number_of_failed_follow_indices

alias

ccr_auto_follow_stats.number_of_failed_remote_cluster_state_requests

alias

ccr_auto_follow_stats.number_of_successful_follow_indices

alias

ccr_stats.bytes_read

alias

ccr_stats.failed_read_requests

alias

ccr_stats.failed_write_requests

alias

ccr_stats.follower_aliases_version

alias

ccr_stats.follower_global_checkpoint

alias

ccr_stats.follower_index

alias

ccr_stats.follower_mapping_version

alias

ccr_stats.follower_max_seq_no

alias

ccr_stats.follower_settings_version

alias

ccr_stats.last_requested_seq_no

alias

ccr_stats.leader_global_checkpoint

alias

ccr_stats.leader_index

alias

ccr_stats.leader_max_seq_no

alias

ccr_stats.operations_read

alias

ccr_stats.operations_written

alias

ccr_stats.outstanding_read_requests

alias

ccr_stats.outstanding_write_requests

alias

ccr_stats.remote_cluster

alias

ccr_stats.shard_id

alias

ccr_stats.successful_read_requests

alias

ccr_stats.successful_write_requests

alias

ccr_stats.total_read_remote_exec_time_millis

alias

ccr_stats.total_read_time_millis

alias

ccr_stats.total_write_time_millis

alias

ccr_stats.write_buffer_operation_count

alias

ccr_stats.write_buffer_size_in_bytes

alias

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.ccr.auto_follow.failed.follow_indices.count

long

gauge

elasticsearch.ccr.auto_follow.failed.remote_cluster_state_requests.count

long

gauge

elasticsearch.ccr.auto_follow.success.follow_indices.count

long

gauge

elasticsearch.ccr.bytes_read

long

gauge

elasticsearch.ccr.follower.aliases_version

long

gauge

elasticsearch.ccr.follower.global_checkpoint

Global checkpoint value on follower shard

long

gauge

elasticsearch.ccr.follower.index

Name of follower index

keyword

elasticsearch.ccr.follower.mapping_version

long

gauge

elasticsearch.ccr.follower.max_seq_no

Maximum sequence number of operation on the follower shard

long

gauge

elasticsearch.ccr.follower.operations.read.count

Current count of read operations.

long

gauge

elasticsearch.ccr.follower.operations_written

Total number of operations indexed (replicated) into the follower shard from the leader shard

long

counter

elasticsearch.ccr.follower.settings_version

long

gauge

elasticsearch.ccr.follower.shard.number

Number of the shard within the index

long

elasticsearch.ccr.follower.time_since_last_read.ms

Time, in ms, since the follower last fetched from the leader

long

gauge

elasticsearch.ccr.last_requested_seq_no

long

gauge

elasticsearch.ccr.leader.global_checkpoint

long

gauge

elasticsearch.ccr.leader.index

Name of leader index

keyword

elasticsearch.ccr.leader.max_seq_no

Maximum sequence number of operation on the leader shard

long

gauge

elasticsearch.ccr.read_exceptions

nested

elasticsearch.ccr.read_exceptions.exception

object

elasticsearch.ccr.read_exceptions.exception.reason

text

elasticsearch.ccr.read_exceptions.exception.type

keyword

elasticsearch.ccr.read_exceptions.from_seq_no

long

gauge

elasticsearch.ccr.read_exceptions.retries

integer

gauge

elasticsearch.ccr.remote_cluster

keyword

elasticsearch.ccr.requests.failed.read.count

long

counter

elasticsearch.ccr.requests.failed.write.count

long

counter

elasticsearch.ccr.requests.outstanding.read.count

long

counter

elasticsearch.ccr.requests.outstanding.write.count

long

counter

elasticsearch.ccr.requests.successful.read.count

long

counter

elasticsearch.ccr.requests.successful.write.count

long

counter

elasticsearch.ccr.shard_id

integer

elasticsearch.ccr.total_time.read.ms

long

gauge

elasticsearch.ccr.total_time.read.remote_exec.ms

long

gauge

elasticsearch.ccr.total_time.write.ms

long

gauge

elasticsearch.ccr.write_buffer.operation.count

long

gauge

elasticsearch.ccr.write_buffer.size.bytes

long

gauge

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Cluster Stats
edit

cluster_stats interrogates the Cluster Stats API endpoint to fetch information about the Elasticsearch cluster.

Example

An example event for cluster_stats looks as following:

{
    "@timestamp": "2022-10-11T14:40:29.703Z",
    "agent": {
        "ephemeral_id": "ca2952fa-aafc-49ad-9612-07b4ced53652",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.cluster_stats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "H4rX2Qc4Tquh3MHuVuzdeQ",
            "name": "elasticsearch",
            "stats": {
                "indices": {
                    "docs": {
                        "total": 18
                    },
                    "fielddata": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "shards": {
                        "count": 12,
                        "primaries": 12
                    },
                    "store": {
                        "size": {
                            "bytes": 95749
                        }
                    },
                    "total": 10
                },
                "license": {
                    "cluster_needs_tls": true,
                    "expiry_date": "2022-11-10T14:40:10.162Z",
                    "expiry_date_in_millis": 1668091210162,
                    "issue_date": "2022-10-11T14:40:10.162Z",
                    "issue_date_in_millis": 1665499210162,
                    "issued_to": "elasticsearch",
                    "issuer": "elasticsearch",
                    "max_nodes": 1000,
                    "start_date_in_millis": -1,
                    "status": "active",
                    "type": "trial",
                    "uid": "cbabb3e0-7294-4784-8ccb-118a2076d940"
                },
                "nodes": {
                    "count": 1,
                    "fs": {
                        "available": {
                            "bytes": 160894537728
                        },
                        "total": {
                            "bytes": 194136477696
                        }
                    },
                    "jvm": {
                        "max_uptime": {
                            "ms": 34416
                        },
                        "memory": {
                            "heap": {
                                "max": {
                                    "bytes": 1073741824
                                },
                                "used": {
                                    "bytes": 477367808
                                }
                            }
                        }
                    },
                    "master": 1,
                    "versions": [
                        "8.5.0"
                    ]
                },
                "stack": {
                    "xpack": {
                        "ccr": {
                            "available": true,
                            "enabled": true
                        }
                    }
                },
                "state": {
                    "master_node": "Unf_fjGESWun1vbtRzJK9w",
                    "nodes": {
                        "Unf_fjGESWun1vbtRzJK9w": {
                            "attributes": {
                                "ml.allocated_processors": "7",
                                "ml.allocated_processors_double": "7.0",
                                "ml.machine_memory": "12544004096",
                                "ml.max_jvm_size": "1073741824",
                                "xpack.installed": "true"
                            },
                            "ephemeral_id": "HUlmpnU2S0ilRSHZ_F1tTg",
                            "external_id": "b978cf9a6a3c",
                            "name": "b978cf9a6a3c",
                            "roles": [
                                "data",
                                "data_cold",
                                "data_content",
                                "data_frozen",
                                "data_hot",
                                "data_warm",
                                "ingest",
                                "master",
                                "ml",
                                "remote_cluster_client",
                                "transform"
                            ],
                            "transport_address": "127.0.0.1:9300"
                        }
                    },
                    "nodes_hash": 460682572,
                    "state_uuid": "d3z5ixwbTbeUf08VWE9Vcw"
                },
                "status": "yellow"
            }
        },
        "version": 60
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.cluster_stats",
        "duration": 447033584,
        "ingested": "2022-10-11T14:40:31Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "cluster_stats",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_settings.cluster.metadata.display_name

keyword

cluster_state.master_node

alias

cluster_state.nodes_hash

alias

cluster_state.state_uuid

alias

cluster_state.status

alias

cluster_state.version

alias

cluster_stats.indices.count

alias

cluster_stats.indices.shards.total

alias

cluster_stats.nodes.count.total

alias

cluster_stats.nodes.jvm.max_uptime_in_millis

alias

cluster_stats.nodes.jvm.mem.heap_max_in_bytes

alias

cluster_stats.nodes.jvm.mem.heap_used_in_bytes

alias

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.cluster.stats.indices.docs.total

Total number of indices in cluster.

long

gauge

elasticsearch.cluster.stats.indices.fielddata.memory.bytes

Memory used for fielddata.

long

gauge

elasticsearch.cluster.stats.indices.shards.count

Total number of shards in cluster.

long

gauge

elasticsearch.cluster.stats.indices.shards.primaries

Total number of primary shards in cluster.

long

gauge

elasticsearch.cluster.stats.indices.store.size.bytes

long

gauge

elasticsearch.cluster.stats.indices.store.total_data_set_size.bytes

long

gauge

elasticsearch.cluster.stats.indices.total

long

gauge

elasticsearch.cluster.stats.license.cluster_needs_tls

boolean

elasticsearch.cluster.stats.license.expiry_date

date

elasticsearch.cluster.stats.license.expiry_date_in_millis

long

elasticsearch.cluster.stats.license.issue_date

date

elasticsearch.cluster.stats.license.issue_date_in_millis

long

elasticsearch.cluster.stats.license.issued_to

keyword

elasticsearch.cluster.stats.license.issuer

keyword

elasticsearch.cluster.stats.license.max_nodes

long

elasticsearch.cluster.stats.license.start_date_in_millis

long

elasticsearch.cluster.stats.license.status

keyword

elasticsearch.cluster.stats.license.type

keyword

elasticsearch.cluster.stats.license.uid

keyword

elasticsearch.cluster.stats.nodes.count

Total number of nodes in cluster.

long

gauge

elasticsearch.cluster.stats.nodes.data

long

gauge

elasticsearch.cluster.stats.nodes.fs.available.bytes

long

gauge

elasticsearch.cluster.stats.nodes.fs.total.bytes

long

gauge

elasticsearch.cluster.stats.nodes.jvm.max_uptime.ms

long

gauge

elasticsearch.cluster.stats.nodes.jvm.memory.heap.max.bytes

long

gauge

elasticsearch.cluster.stats.nodes.jvm.memory.heap.used.bytes

long

gauge

elasticsearch.cluster.stats.nodes.master

Number of master-eligible nodes in cluster.

long

gauge

elasticsearch.cluster.stats.nodes.stats.data

Number of data nodes in cluster.

long

gauge

elasticsearch.cluster.stats.nodes.versions

text

elasticsearch.cluster.stats.stack.apm.found

boolean

elasticsearch.cluster.stats.stack.xpack.ccr.available

boolean

elasticsearch.cluster.stats.stack.xpack.ccr.enabled

boolean

elasticsearch.cluster.stats.state.master_node

keyword

elasticsearch.cluster.stats.state.nodes

flattened

elasticsearch.cluster.stats.state.nodes_hash

keyword

elasticsearch.cluster.stats.state.state_uuid

keyword

elasticsearch.cluster.stats.state.version

keyword

elasticsearch.cluster.stats.status

Cluster status (green, yellow, red).

keyword

elasticsearch.cluster.stats.version

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

elasticsearch.version

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

license.status

alias

license.type

alias

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

stack_stats.apm.found

alias

stack_stats.xpack.ccr.available

alias

stack_stats.xpack.ccr.enabled

alias

timestamp

alias

Enrich
edit

Enrch interrogates the Enrich Stats API endpoint to fetch information about Enrich coordinator nodesin the Elasticsearch cluster that are participating in ingest-time enrichment.

Example

An example event for enrich looks as following:

{
    "agent": {
        "hostname": "docker-fleet-agent",
        "name": "docker-fleet-agent",
        "id": "60e15e27-7080-4c28-9900-5a087c2ff74c",
        "type": "metricbeat",
        "ephemeral_id": "2b6da727-313f-41fc-84af-3cd928f265c1",
        "version": "7.14.0"
    },
    "elastic_agent": {
        "id": "60e15e27-7080-4c28-9900-5a087c2ff74c",
        "version": "7.14.0",
        "snapshot": true
    },
    "@timestamp": "2021-07-30T14:47:15.376Z",
    "elasticsearch": {
        "node": {
            "id": "6XuAxHXaRbeX6LUrxIfAxg"
        },
        "cluster": {
            "name": "docker-cluster",
            "id": "bvF4SoDLQU-sdM3YY8JI8Q"
        },
        "enrich": {
            "executed_searches": {
                "total": 0
            },
            "remote_requests": {
                "current": 0,
                "total": 0
            },
            "queue": {
                "size": 0
            }
        }
    },
    "ecs": {
        "version": "1.10.0"
    },
    "service": {
        "address": "http://elasticsearch:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "elasticsearch.stack_monitoring.enrich"
    },
    "host": {
        "hostname": "docker-fleet-agent",
        "os": {
            "kernel": "5.11.10-arch1-1",
            "codename": "Core",
            "name": "CentOS Linux",
            "type": "linux",
            "family": "redhat",
            "version": "7 (Core)",
            "platform": "centos"
        },
        "containerized": true,
        "ip": [
            "172.18.0.7"
        ],
        "name": "docker-fleet-agent",
        "id": "8979eb4aa312c3dccea3823dd92f92f5",
        "mac": [
            "02:42:ac:12:00:07"
        ],
        "architecture": "x86_64"
    },
    "metricset": {
        "period": 10000,
        "name": "enrich"
    },
    "event": {
        "duration": 2804362,
        "agent_id_status": "verified",
        "ingested": "2021-07-30T14:47:16.373180707Z",
        "module": "elasticsearch",
        "dataset": "elasticsearch.stack_monitoring.enrich"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.enrich.executed_searches.total

Number of search requests that enrich processors have executed since node startup.

long

counter

elasticsearch.enrich.executing_policy.name

keyword

elasticsearch.enrich.executing_policy.task.action

keyword

elasticsearch.enrich.executing_policy.task.cancellable

boolean

elasticsearch.enrich.executing_policy.task.id

long

elasticsearch.enrich.executing_policy.task.parent_task_id

keyword

elasticsearch.enrich.executing_policy.task.task

keyword

elasticsearch.enrich.executing_policy.task.time.running.nano

long

counter

elasticsearch.enrich.executing_policy.task.time.start.ms

long

elasticsearch.enrich.queue.size

Number of search requests in the queue.

long

gauge

elasticsearch.enrich.remote_requests.current

Current number of outstanding remote requests.

long

gauge

elasticsearch.enrich.remote_requests.total

Number of outstanding remote requests executed since node startup.

long

counter

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Index
edit
Example

An example event for index looks as following:

{
    "@timestamp": "2022-10-11T11:51:32.135Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.index",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "H507Ao7tR5-NU8YnTjSYAQ",
            "name": "elasticsearch"
        },
        "index": {
            "hidden": true,
            "name": ".ml-state-000001",
            "primaries": {
                "docs": {
                    "count": 0
                },
                "indexing": {
                    "index_time_in_millis": 0,
                    "index_total": 0,
                    "throttle_time_in_millis": 0
                },
                "merges": {
                    "total_size_in_bytes": 0
                },
                "refresh": {
                    "total_time_in_millis": 0
                },
                "segments": {
                    "count": 0
                },
                "store": {
                    "size_in_bytes": 225
                }
            },
            "shards": {
                "primaries": 1,
                "total": 1
            },
            "status": "green",
            "total": {
                "bulk": {
                    "avg_size_in_bytes": 0,
                    "avg_time_in_millis": 0,
                    "total_operations": 0,
                    "total_size_in_bytes": 0,
                    "total_time_in_millis": 0
                },
                "docs": {
                    "count": 0
                },
                "fielddata": {
                    "memory_size_in_bytes": 0
                },
                "indexing": {
                    "index_time_in_millis": 0,
                    "index_total": 0,
                    "throttle_time_in_millis": 0
                },
                "merges": {
                    "total_size_in_bytes": 0
                },
                "refresh": {
                    "total_time_in_millis": 0
                },
                "search": {
                    "query_time_in_millis": 0,
                    "query_total": 0
                },
                "segments": {
                    "count": 0,
                    "doc_values_memory_in_bytes": 0,
                    "fixed_bit_set_memory_in_bytes": 0,
                    "index_writer_memory_in_bytes": 0,
                    "memory_in_bytes": 0,
                    "norms_memory_in_bytes": 0,
                    "points_memory_in_bytes": 0,
                    "stored_fields_memory_in_bytes": 0,
                    "term_vectors_memory_in_bytes": 0,
                    "terms_memory_in_bytes": 0,
                    "version_map_memory_in_bytes": 0
                },
                "store": {
                    "size_in_bytes": 225
                }
            },
            "uuid": "rQEw7aohRUqpIz3fuZj6JQ"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.index",
        "duration": 143033459,
        "ingested": "2022-10-11T11:51:33Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "index",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.index.hidden

boolean

elasticsearch.index.name

Index name.

keyword

elasticsearch.index.primaries.docs.count

long

gauge

elasticsearch.index.primaries.docs.deleted

long

gauge

elasticsearch.index.primaries.indexing.index_time_in_millis

long

counter

elasticsearch.index.primaries.indexing.index_total

long

counter

elasticsearch.index.primaries.indexing.throttle_time_in_millis

long

counter

elasticsearch.index.primaries.merges.total_size_in_bytes

long

gauge

elasticsearch.index.primaries.query_cache.hit_count

long

counter

elasticsearch.index.primaries.query_cache.memory_size_in_bytes

long

gauge

elasticsearch.index.primaries.query_cache.miss_count

long

counter

elasticsearch.index.primaries.refresh.external_total_time_in_millis

long

counter

elasticsearch.index.primaries.refresh.total_time_in_millis

long

counter

elasticsearch.index.primaries.request_cache.evictions

long

counter

elasticsearch.index.primaries.request_cache.hit_count

long

counter

elasticsearch.index.primaries.request_cache.memory_size_in_bytes

long

gauge

elasticsearch.index.primaries.request_cache.miss_count

long

counter

elasticsearch.index.primaries.search.query_time_in_millis

long

counter

elasticsearch.index.primaries.search.query_total

long

counter

elasticsearch.index.primaries.segments.count

long

gauge

elasticsearch.index.primaries.segments.doc_values_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.fixed_bit_set_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.index_writer_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.norms_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.points_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.stored_fields_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.term_vectors_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.terms_memory_in_bytes

long

gauge

elasticsearch.index.primaries.segments.version_map_memory_in_bytes

long

gauge

elasticsearch.index.primaries.store.size_in_bytes

long

gauge

elasticsearch.index.primaries.store.total_data_set_size_in_bytes

long

gauge

elasticsearch.index.shards.primaries

long

elasticsearch.index.shards.total

long

elasticsearch.index.status

keyword

elasticsearch.index.total.bulk.avg_size_in_bytes

long

gauge

elasticsearch.index.total.bulk.avg_time_in_millis

long

gauge

elasticsearch.index.total.bulk.total_operations

long

counter

elasticsearch.index.total.bulk.total_size_in_bytes

long

gauge

elasticsearch.index.total.bulk.total_time_in_millis

long

counter

elasticsearch.index.total.docs.count

Total number of documents in the index.

long

gauge

elasticsearch.index.total.docs.deleted

Total number of deleted documents in the index.

long

gauge

elasticsearch.index.total.fielddata.evictions

long

counter

elasticsearch.index.total.fielddata.memory_size_in_bytes

long

gauge

elasticsearch.index.total.indexing.index_time_in_millis

long

counter

elasticsearch.index.total.indexing.index_total

long

counter

elasticsearch.index.total.indexing.throttle_time_in_millis

long

counter

elasticsearch.index.total.merges.total_size_in_bytes

long

gauge

elasticsearch.index.total.query_cache.evictions

long

counter

elasticsearch.index.total.query_cache.hit_count

long

counter

elasticsearch.index.total.query_cache.memory_size_in_bytes

long

gauge

elasticsearch.index.total.query_cache.miss_count

long

counter

elasticsearch.index.total.refresh.external_total_time_in_millis

long

counter

elasticsearch.index.total.refresh.total_time_in_millis

long

counter

elasticsearch.index.total.request_cache.evictions

long

counter

elasticsearch.index.total.request_cache.hit_count

long

counter

elasticsearch.index.total.request_cache.memory_size_in_bytes

long

gauge

elasticsearch.index.total.request_cache.miss_count

long

counter

elasticsearch.index.total.search.query_time_in_millis

long

counter

elasticsearch.index.total.search.query_total

long

counter

elasticsearch.index.total.segments.count

Total number of index segments.

long

gauge

elasticsearch.index.total.segments.doc_values_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.fixed_bit_set_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.index_writer_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.memory.bytes

Total number of memory used by the segments in bytes.

long

gauge

elasticsearch.index.total.segments.memory_in_bytes

Total number of memory used by the segments in bytes.

long

gauge

elasticsearch.index.total.segments.norms_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.points_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.stored_fields_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.term_vectors_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.terms_memory_in_bytes

long

gauge

elasticsearch.index.total.segments.version_map_memory_in_bytes

long

gauge

elasticsearch.index.total.store.size.bytes

long

gauge

elasticsearch.index.total.store.size_in_bytes

Total size of the index in bytes.

long

gauge

elasticsearch.index.uuid

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

index_recovery.shards.start_time_in_millis

alias

index_recovery.shards.stop_time_in_millis

alias

index_stats.index

alias

index_stats.primaries.docs.count

alias

index_stats.primaries.indexing.index_time_in_millis

alias

index_stats.primaries.indexing.index_total

alias

index_stats.primaries.indexing.throttle_time_in_millis

alias

index_stats.primaries.merges.total_size_in_bytes

alias

index_stats.primaries.refresh.total_time_in_millis

alias

index_stats.primaries.segments.count

alias

index_stats.primaries.store.size_in_bytes

alias

index_stats.total.fielddata.memory_size_in_bytes

alias

index_stats.total.indexing.index_time_in_millis

alias

index_stats.total.indexing.index_total

alias

index_stats.total.indexing.throttle_time_in_millis

alias

index_stats.total.merges.total_size_in_bytes

alias

index_stats.total.query_cache.memory_size_in_bytes

alias

index_stats.total.refresh.total_time_in_millis

alias

index_stats.total.request_cache.memory_size_in_bytes

alias

index_stats.total.search.query_time_in_millis

alias

index_stats.total.search.query_total

alias

index_stats.total.segments.count

alias

index_stats.total.segments.doc_values_memory_in_bytes

alias

index_stats.total.segments.fixed_bit_set_memory_in_bytes

alias

index_stats.total.segments.index_writer_memory_in_bytes

alias

index_stats.total.segments.memory_in_bytes

alias

index_stats.total.segments.norms_memory_in_bytes

alias

index_stats.total.segments.points_memory_in_bytes

alias

index_stats.total.segments.stored_fields_memory_in_bytes

alias

index_stats.total.segments.term_vectors_memory_in_bytes

alias

index_stats.total.segments.terms_memory_in_bytes

alias

index_stats.total.segments.version_map_memory_in_bytes

alias

index_stats.total.store.size_in_bytes

alias

indices_stats._all.primaries.indexing.index_time_in_millis

alias

indices_stats._all.primaries.indexing.index_total

alias

indices_stats._all.total.indexing.index_total

alias

indices_stats._all.total.search.query_time_in_millis

alias

indices_stats._all.total.search.query_total

alias

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Index recovery
edit

By default only data about indices which are under active recovery are fetched. To gather data about all indices set active_only: false.

Example

An example event for index_recovery looks as following:

{
    "@timestamp": "2022-10-11T11:52:45.280Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.index_recovery",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "5-S01HJrSLyI2D9Bfsqkxg",
            "name": "elasticsearch"
        },
        "index": {
            "name": "test_2",
            "recovery": {
                "id": 0,
                "index": {
                    "files": {
                        "percent": "0.0%",
                        "recovered": 0,
                        "reused": 0,
                        "total": 0
                    },
                    "size": {
                        "recovered_in_bytes": 0,
                        "reused_in_bytes": 0,
                        "total_in_bytes": 0
                    }
                },
                "name": "test_2",
                "primary": true,
                "source": {},
                "stage": "DONE",
                "start_time": {
                    "ms": 1665489151996
                },
                "stop_time": {
                    "ms": 1665489152026
                },
                "total_time": {
                    "ms": 30
                },
                "target": {
                    "host": "127.0.0.1",
                    "id": "lVVKbuXvSs2koSpkreME3w",
                    "name": "c82dbd707c75",
                    "transport_address": "127.0.0.1:9300"
                },
                "translog": {
                    "percent": "100.0%",
                    "total": 0,
                    "total_on_start": 0
                },
                "type": "EMPTY_STORE"
            }
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.index_recovery",
        "duration": 70728584,
        "ingested": "2022-10-11T11:52:46Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "index_recovery",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.index.name

keyword

elasticsearch.index.recovery.id

Shard recovery id.

long

elasticsearch.index.recovery.index.files.percent

keyword

elasticsearch.index.recovery.index.files.recovered

long

gauge

elasticsearch.index.recovery.index.files.reused

long

gauge

elasticsearch.index.recovery.index.files.total

long

gauge

elasticsearch.index.recovery.index.size.recovered_in_bytes

long

gauge

elasticsearch.index.recovery.index.size.reused_in_bytes

long

gauge

elasticsearch.index.recovery.index.size.total_in_bytes

long

gauge

elasticsearch.index.recovery.name

keyword

elasticsearch.index.recovery.primary

True if primary shard.

boolean

elasticsearch.index.recovery.source.host

Source node host address (could be IP address or hostname).

keyword

elasticsearch.index.recovery.source.id

Source node id.

keyword

elasticsearch.index.recovery.source.name

Source node name.

keyword

elasticsearch.index.recovery.source.transport_address

keyword

elasticsearch.index.recovery.stage

Recovery stage.

keyword

elasticsearch.index.recovery.start_time.ms

long

gauge

elasticsearch.index.recovery.stop_time.ms

long

gauge

elasticsearch.index.recovery.target.host

Target node host address (could be IP address or hostname).

keyword

elasticsearch.index.recovery.target.id

Target node id.

keyword

elasticsearch.index.recovery.target.name

Target node name.

keyword

elasticsearch.index.recovery.target.transport_address

keyword

elasticsearch.index.recovery.total_time.ms

long

gauge

elasticsearch.index.recovery.translog.percent

keyword

elasticsearch.index.recovery.translog.total

long

gauge

elasticsearch.index.recovery.translog.total_on_start

long

gauge

elasticsearch.index.recovery.type

Shard recovery type.

keyword

elasticsearch.index.recovery.verify_index.check_index_time.ms

long

gauge

elasticsearch.index.recovery.verify_index.total_time.ms

long

gauge

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

index_recovery.shards.start_time_in_millis

alias

index_recovery.shards.stop_time_in_millis

alias

index_recovery.shards.total_time_in_millis

alias

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Index summary
edit
Example

An example event for index_summary looks as following:

{
    "@timestamp": "2022-10-11T11:54:00.424Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.index_summary",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "KE1I01h1Qci2TZwKI8uhPQ",
            "name": "elasticsearch"
        },
        "index": {
            "summary": {
                "primaries": {
                    "bulk": {
                        "operations": {
                            "count": 2
                        },
                        "size": {
                            "bytes": 30
                        },
                        "time": {
                            "avg": {
                                "bytes": 2
                            }
                        }
                    },
                    "docs": {
                        "count": 2,
                        "deleted": 0
                    },
                    "indexing": {
                        "index": {
                            "count": 2,
                            "time": {
                                "ms": 3
                            }
                        }
                    },
                    "search": {
                        "query": {
                            "count": 6,
                            "time": {
                                "ms": 2
                            }
                        }
                    },
                    "segments": {
                        "count": 2,
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "store": {
                        "size": {
                            "bytes": 10059
                        }
                    }
                },
                "total": {
                    "bulk": {
                        "operations": {
                            "count": 2
                        },
                        "size": {
                            "bytes": 30
                        },
                        "time": {
                            "avg": {
                                "bytes": 2
                            }
                        }
                    },
                    "docs": {
                        "count": 2,
                        "deleted": 0
                    },
                    "indexing": {
                        "index": {
                            "count": 2,
                            "time": {
                                "ms": 3
                            }
                        }
                    },
                    "search": {
                        "query": {
                            "count": 6,
                            "time": {
                                "ms": 2
                            }
                        }
                    },
                    "segments": {
                        "count": 2,
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "store": {
                        "size": {
                            "bytes": 10059
                        }
                    }
                }
            }
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.index_summary",
        "duration": 89177084,
        "ingested": "2022-10-11T11:54:01Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "index_summary",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.index.summary.primaries.bulk.operations.count

long

gauge

elasticsearch.index.summary.primaries.bulk.size.bytes

long

gauge

elasticsearch.index.summary.primaries.bulk.time.avg.bytes

long

gauge

elasticsearch.index.summary.primaries.bulk.time.avg.ms

long

gauge

elasticsearch.index.summary.primaries.bulk.time.count.ms

long

counter

elasticsearch.index.summary.primaries.docs.count

Total number of documents in the index.

long

gauge

elasticsearch.index.summary.primaries.docs.deleted

Total number of deleted documents in the index.

long

gauge

elasticsearch.index.summary.primaries.indexing.index.count

long

gauge

elasticsearch.index.summary.primaries.indexing.index.time.ms

long

gauge

elasticsearch.index.summary.primaries.search.query.count

long

counter

elasticsearch.index.summary.primaries.search.query.time.ms

long

counter

elasticsearch.index.summary.primaries.segments.count

Total number of index segments.

long

gauge

elasticsearch.index.summary.primaries.segments.memory.bytes

Total number of memory used by the segments in bytes.

long

gauge

elasticsearch.index.summary.primaries.store.size.bytes

Total size of the index in bytes.

long

gauge

elasticsearch.index.summary.primaries.store.total_data_set_size.bytes

Total size of the index in bytes including backing data for partially mounted indices.

long

gauge

elasticsearch.index.summary.total.bulk.operations.count

long

gauge

elasticsearch.index.summary.total.bulk.size.bytes

long

gauge

elasticsearch.index.summary.total.bulk.time.avg.bytes

long

gauge

elasticsearch.index.summary.total.bulk.time.avg.ms

long

gauge

elasticsearch.index.summary.total.docs.count

Total number of documents in the index.

long

gauge

elasticsearch.index.summary.total.docs.deleted

Total number of deleted documents in the index.

long

gauge

elasticsearch.index.summary.total.indexing.index.count

long

gauge

elasticsearch.index.summary.total.indexing.index.time.ms

long

gauge

elasticsearch.index.summary.total.indexing.is_throttled

boolean

elasticsearch.index.summary.total.indexing.throttle_time.ms

long

gauge

elasticsearch.index.summary.total.search.query.count

long

counter

elasticsearch.index.summary.total.search.query.time.ms

long

counter

elasticsearch.index.summary.total.segments.count

Total number of index segments.

long

gauge

elasticsearch.index.summary.total.segments.memory.bytes

Total number of memory used by the segments in bytes.

long

gauge

elasticsearch.index.summary.total.store.size.bytes

Total size of the index in bytes.

long

gauge

elasticsearch.index.summary.total.store.total_data_set_size.bytes

Total size of the index in bytes including backing data for partially mounted indices.

long

gauge

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

indices_stats._all.primaries.indexing.index_time_in_millis

alias

indices_stats._all.primaries.indexing.index_total

alias

indices_stats._all.total.indexing.index_total

alias

indices_stats._all.total.search.query_time_in_millis

alias

indices_stats._all.total.search.query_total

alias

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Machine Learning Jobs
edit

If you have Machine Learning jobs, this data stream will interrogate the Machine Learning Anomaly Detection API and requires Machine Learning to be enabled.

Example

An example event for ml_job looks as following:

{
    "@timestamp": "2022-10-11T11:55:13.602Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.ml_job",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "qRprxEWySBqONwPW_2ga6Q",
            "name": "elasticsearch"
        },
        "ml": {
            "job": {
                "data_counts": {
                    "invalid_date_count": 0,
                    "processed_record_count": 0
                },
                "forecasts_stats": {
                    "total": 0
                },
                "id": "test-job1",
                "model_size": {
                    "memory_status": "ok"
                },
                "state": "opened"
            }
        },
        "node": {
            "id": "2eRkSFTXSLie_seiHf4Y1A",
            "name": "efacd89a6e88"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.ml_job",
        "duration": 93589542,
        "ingested": "2022-10-11T11:55:14Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "ml_job",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.ml.job.data.invalid_date.count

The number of records with either a missing date field or a date that could not be parsed.

long

gauge

elasticsearch.ml.job.data_counts.invalid_date_count

long

gauge

elasticsearch.ml.job.data_counts.processed_record_count

Processed data events.

long

gauge

elasticsearch.ml.job.forecasts_stats.total

long

gauge

elasticsearch.ml.job.id

Unique ml job id.

keyword

elasticsearch.ml.job.model_size.memory_status

keyword

elasticsearch.ml.job.state

Job state.

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

job_stats.forecasts_stats.total

alias

job_stats.job_id

alias

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Node
edit

node interrogates the Cluster API endpoint of Elasticsearch to get cluster nodes information. It only fetches the data from the _local node so it must run on each Elasticsearch node.

Example

An example event for node looks as following:

{
    "@timestamp": "2022-10-11T11:56:26.591Z",
    "agent": {
        "ephemeral_id": "7047b7d7-b0f6-412b-a884-19c38671acf5",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.node",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "dww9JUOzQyS8iokOwczS9Q",
            "name": "elasticsearch"
        },
        "node": {
            "id": "8IzM7B10S7yuldzLETfv0w",
            "jvm": {
                "memory": {
                    "heap": {
                        "init": {
                            "bytes": 1073741824
                        },
                        "max": {
                            "bytes": 1073741824
                        }
                    },
                    "nonheap": {
                        "init": {
                            "bytes": 7667712
                        },
                        "max": {
                            "bytes": 0
                        }
                    }
                },
                "version": "18.0.2.1"
            },
            "name": "d07bc5926662",
            "process": {
                "mlockall": false
            },
            "version": "8.5.0"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.node",
        "duration": 63219000,
        "ingested": "2022-10-11T11:56:27Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "node",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.jvm.memory.heap.init.bytes

Heap init used by the JVM in bytes.

long

gauge

elasticsearch.node.jvm.memory.heap.max.bytes

Heap max used by the JVM in bytes.

long

gauge

elasticsearch.node.jvm.memory.nonheap.init.bytes

Non-Heap init used by the JVM in bytes.

long

gauge

elasticsearch.node.jvm.memory.nonheap.max.bytes

Non-Heap max used by the JVM in bytes.

long

gauge

elasticsearch.node.jvm.version

JVM version.

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

elasticsearch.node.process.mlockall

If process locked in memory.

boolean

elasticsearch.node.version

Node version.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Node stats
edit

node_stats interrogates the Cluster API endpoint of Elasticsearch to get the cluster nodes statistics. The data received is only for the local node so the Agent has to be run on each Elasticsearch node.

The indices stats are node-specific. That means for example the total number of docs reported by all nodes together is not the total number of documents in all indices as there can also be replicas.

Example

An example event for node_stats looks as following:

{
    "@timestamp": "2023-03-31T16:04:42.359Z",
    "agent": {
        "ephemeral_id": "1a9923cc-6cfb-4e24-af90-4dadc280ce65",
        "id": "91796116-33d0-4b72-a8dc-6f878fc9c156",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.8.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.node_stats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "91796116-33d0-4b72-a8dc-6f878fc9c156",
        "snapshot": true,
        "version": "8.8.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "Ipm1WsqqRB6oapcw_SS2Eg",
            "name": "elasticsearch"
        },
        "node": {
            "id": "gdgi4QNVQ_-dHq9HLnRlQA",
            "master": true,
            "mlockall": false,
            "name": "04ab345e3ac8",
            "roles": [
                "data",
                "data_cold",
                "data_content",
                "data_frozen",
                "data_hot",
                "data_warm",
                "ingest",
                "master",
                "ml",
                "remote_cluster_client",
                "transform"
            ],
            "stats": {
                "fs": {
                    "io_stats": {},
                    "summary": {
                        "available": {
                            "bytes": 39146156032
                        },
                        "free": {
                            "bytes": 42362871808
                        },
                        "total": {
                            "bytes": 62671097856
                        }
                    },
                    "total": {
                        "available_in_bytes": 39146156032,
                        "total_in_bytes": 62671097856
                    }
                },
                "indexing_pressure": {
                    "memory": {
                        "current": {
                            "all": {
                                "bytes": 0
                            },
                            "combined_coordinating_and_primary": {
                                "bytes": 0
                            },
                            "coordinating": {
                                "bytes": 0
                            },
                            "primary": {
                                "bytes": 0
                            },
                            "replica": {
                                "bytes": 0
                            }
                        },
                        "limit_in_bytes": 107374182,
                        "total": {
                            "all": {
                                "bytes": 20484
                            },
                            "combined_coordinating_and_primary": {
                                "bytes": 20484
                            },
                            "coordinating": {
                                "bytes": 20484,
                                "rejections": 0
                            },
                            "primary": {
                                "bytes": 27900,
                                "rejections": 0
                            },
                            "replica": {
                                "bytes": 0,
                                "rejections": 0
                            }
                        }
                    }
                },
                "indices": {
                    "bulk": {
                        "avg_size": {
                            "bytes": 92
                        },
                        "avg_time": {
                            "ms": 0
                        },
                        "operations": {
                            "total": {
                                "count": 29
                            }
                        },
                        "total_size": {
                            "bytes": 10684
                        },
                        "total_time": {
                            "ms": 131
                        }
                    },
                    "docs": {
                        "count": 38,
                        "deleted": 1
                    },
                    "fielddata": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "indexing": {
                        "index_time": {
                            "ms": 43
                        },
                        "index_total": {
                            "count": 67
                        },
                        "throttle_time": {
                            "ms": 0
                        }
                    },
                    "query_cache": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "request_cache": {
                        "memory": {
                            "bytes": 0
                        }
                    },
                    "search": {
                        "query_time": {
                            "ms": 18
                        },
                        "query_total": {
                            "count": 40
                        }
                    },
                    "segments": {
                        "count": 20,
                        "doc_values": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "fixed_bit_set": {
                            "memory": {
                                "bytes": 144
                            }
                        },
                        "index_writer": {
                            "memory": {
                                "bytes": 124320
                            }
                        },
                        "memory": {
                            "bytes": 0
                        },
                        "norms": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "points": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "stored_fields": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "term_vectors": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "terms": {
                            "memory": {
                                "bytes": 0
                            }
                        },
                        "version_map": {
                            "memory": {
                                "bytes": 0
                            }
                        }
                    },
                    "store": {
                        "size": {
                            "bytes": 138577
                        }
                    }
                },
                "ingest": {
                    "total": {
                        "count": 40,
                        "current": 0,
                        "failed": 0,
                        "time_in_millis": 4
                    }
                },
                "jvm": {
                    "gc": {
                        "collectors": {
                            "old": {
                                "collection": {
                                    "count": 0,
                                    "ms": 0
                                }
                            },
                            "young": {
                                "collection": {
                                    "count": 9,
                                    "ms": 84
                                }
                            }
                        }
                    },
                    "mem": {
                        "heap": {
                            "max": {
                                "bytes": 1073741824
                            },
                            "used": {
                                "bytes": 198002688,
                                "pct": 18
                            }
                        }
                    }
                },
                "os": {
                    "cgroup": {
                        "cpu": {
                            "cfs": {
                                "quota": {
                                    "us": -1
                                }
                            },
                            "stat": {
                                "elapsed_periods": {
                                    "count": 0
                                },
                                "time_throttled": {
                                    "ns": 0
                                },
                                "times_throttled": {
                                    "count": 0
                                }
                            }
                        },
                        "cpuacct": {
                            "usage": {
                                "ns": 32594735
                            }
                        },
                        "memory": {
                            "control_group": "/",
                            "limit": {
                                "bytes": "max"
                            },
                            "usage": {
                                "bytes": "1505935360"
                            }
                        }
                    },
                    "cpu": {
                        "load_avg": {
                            "1m": 1.13
                        }
                    }
                },
                "process": {
                    "cpu": {
                        "pct": 1
                    }
                },
                "thread_pool": {
                    "force_merge": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    },
                    "get": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    },
                    "search": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    },
                    "write": {
                        "queue": {
                            "count": 0
                        },
                        "rejected": {
                            "count": 0
                        }
                    }
                }
            }
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.node_stats",
        "duration": 135773209,
        "ingested": "2023-03-31T16:04:43Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2b5a4ccc72da470e945cff8960ca6475",
        "ip": [
            "172.31.0.4"
        ],
        "mac": [
            "02-42-AC-1F-00-04"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.15.49-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "node_stats",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service_elasticsearch_1:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type Metric Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

agent.id

Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.

keyword

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

elasticsearch.node.roles

Node roles

keyword

elasticsearch.node.stats.fs.io_stats.total.operations.count

long

counter

elasticsearch.node.stats.fs.io_stats.total.read.operations.count

long

counter

elasticsearch.node.stats.fs.io_stats.total.write.operations.count

long

counter

elasticsearch.node.stats.fs.summary.available.bytes

long

gauge

elasticsearch.node.stats.fs.summary.free.bytes

long

gauge

elasticsearch.node.stats.fs.summary.total.bytes

long

gauge

elasticsearch.node.stats.fs.total.available_in_bytes

long

gauge

elasticsearch.node.stats.fs.total.total_in_bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.current.all.bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.current.combined_coordinating_and_primary.bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.current.coordinating.bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.current.primary.bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.current.replica.bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.limit_in_bytes

long

gauge

elasticsearch.node.stats.indexing_pressure.memory.total.all.bytes

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.combined_coordinating_and_primary.bytes

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.coordinating.bytes

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.coordinating.rejections

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.primary.bytes

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.primary.rejections

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.replica.bytes

long

counter

elasticsearch.node.stats.indexing_pressure.memory.total.replica.rejections

long

counter

elasticsearch.node.stats.indices.bulk.avg_size.bytes

long

gauge

elasticsearch.node.stats.indices.bulk.avg_time.ms

long

gauge

elasticsearch.node.stats.indices.bulk.operations.total.count

long

counter

elasticsearch.node.stats.indices.bulk.total_size.bytes

long

counter

elasticsearch.node.stats.indices.bulk.total_time.ms

long

counter

elasticsearch.node.stats.indices.docs.count

Total number of existing documents.

long

gauge

elasticsearch.node.stats.indices.docs.deleted

Total number of deleted documents.

long

gauge

elasticsearch.node.stats.indices.fielddata.memory.bytes

long

gauge

elasticsearch.node.stats.indices.indexing.index_time.ms

long

gauge

elasticsearch.node.stats.indices.indexing.index_total.count

long

counter

elasticsearch.node.stats.indices.indexing.throttle_time.ms

long

gauge

elasticsearch.node.stats.indices.query_cache.memory.bytes

long

gauge

elasticsearch.node.stats.indices.request_cache.memory.bytes

long

gauge

elasticsearch.node.stats.indices.search.query_time.ms

long

counter

elasticsearch.node.stats.indices.search.query_total.count

long

counter

elasticsearch.node.stats.indices.segments.count

Total number of segments.

long

gauge

elasticsearch.node.stats.indices.segments.doc_values.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.fixed_bit_set.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.index_writer.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.memory.bytes

Total size of segments in bytes.

long

gauge

elasticsearch.node.stats.indices.segments.norms.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.points.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.stored_fields.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.term_vectors.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.terms.memory.bytes

long

gauge

elasticsearch.node.stats.indices.segments.version_map.memory.bytes

long

gauge

elasticsearch.node.stats.indices.shard_stats.total_count

long

elasticsearch.node.stats.indices.store.size.bytes

Total size of the store in bytes.

long

gauge

elasticsearch.node.stats.indices.store.total_data_set_size.bytes

Total size of shards in bytes assigned to this node including backing data for partially mounted indices.

long

gauge

elasticsearch.node.stats.ingest.total.count

long

counter

elasticsearch.node.stats.ingest.total.current

long

gauge

elasticsearch.node.stats.ingest.total.failed

long

counter

elasticsearch.node.stats.ingest.total.time_in_millis

long

counter

elasticsearch.node.stats.jvm.gc.collectors.old.collection.count

long

counter

elasticsearch.node.stats.jvm.gc.collectors.old.collection.ms

long

counter

elasticsearch.node.stats.jvm.gc.collectors.young.collection.count

long

counter

elasticsearch.node.stats.jvm.gc.collectors.young.collection.ms

long

counter

elasticsearch.node.stats.jvm.mem.heap.max.bytes

long

gauge

elasticsearch.node.stats.jvm.mem.heap.used.bytes

long

gauge

elasticsearch.node.stats.jvm.mem.heap.used.pct

double

gauge

elasticsearch.node.stats.jvm.mem.pools.old.max.bytes

Max bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.old.peak.bytes

Peak bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.old.peak_max.bytes

Peak max bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.old.used.bytes

Used bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.survivor.max.bytes

Max bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.survivor.peak.bytes

Peak bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.survivor.peak_max.bytes

Peak max bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.survivor.used.bytes

Used bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.young.max.bytes

Max bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.young.peak.bytes

Peak bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.young.peak_max.bytes

Peak max bytes.

long

gauge

elasticsearch.node.stats.jvm.mem.pools.young.used.bytes

Used bytes.

long

gauge

elasticsearch.node.stats.os.cgroup.cpu.cfs.quota.us

long

gauge

elasticsearch.node.stats.os.cgroup.cpu.stat.elapsed_periods.count

long

counter

elasticsearch.node.stats.os.cgroup.cpu.stat.time_throttled.ns

long

counter

elasticsearch.node.stats.os.cgroup.cpu.stat.times_throttled.count

long

counter

elasticsearch.node.stats.os.cgroup.cpuacct.usage.ns

long

counter

elasticsearch.node.stats.os.cgroup.memory.control_group

keyword

elasticsearch.node.stats.os.cgroup.memory.limit.bytes

keyword

elasticsearch.node.stats.os.cgroup.memory.usage.bytes

keyword

elasticsearch.node.stats.os.cpu.load_avg.1m

half_float

gauge

elasticsearch.node.stats.process.cpu.pct

double

gauge

elasticsearch.node.stats.thread_pool.bulk.queue.count

long

gauge

elasticsearch.node.stats.thread_pool.bulk.rejected.count

long

counter

elasticsearch.node.stats.thread_pool.force_merge.queue.count

long

gauge

elasticsearch.node.stats.thread_pool.force_merge.rejected.count

long

counter

elasticsearch.node.stats.thread_pool.get.queue.count

long

gauge

elasticsearch.node.stats.thread_pool.get.rejected.count

long

counter

elasticsearch.node.stats.thread_pool.index.queue.count

long

gauge

elasticsearch.node.stats.thread_pool.index.rejected.count

long

counter

elasticsearch.node.stats.thread_pool.search.queue.count

long

gauge

elasticsearch.node.stats.thread_pool.search.rejected.count

long

counter

elasticsearch.node.stats.thread_pool.write.queue.count

long

gauge

elasticsearch.node.stats.thread_pool.write.rejected.count

long

counter

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

node_stats.fs.io_stats.total.operations

alias

node_stats.fs.io_stats.total.read_operations

alias

node_stats.fs.io_stats.total.write_operations

alias

node_stats.fs.summary.available.bytes

alias

node_stats.fs.summary.total.bytes

alias

node_stats.fs.total.available_in_bytes

alias

node_stats.fs.total.total_in_bytes

alias

node_stats.indices.docs.count

alias

node_stats.indices.fielddata.memory_size_in_bytes

alias

node_stats.indices.indexing.index_time_in_millis

alias

node_stats.indices.indexing.index_total

alias

node_stats.indices.indexing.throttle_time_in_millis

alias

node_stats.indices.query_cache.memory_size_in_bytes

alias

node_stats.indices.request_cache.memory_size_in_bytes

alias

node_stats.indices.search.query_time_in_millis

alias

node_stats.indices.search.query_total

alias

node_stats.indices.segments.count

alias

node_stats.indices.segments.doc_values_memory_in_bytes

alias

node_stats.indices.segments.fixed_bit_set_memory_in_bytes

alias

node_stats.indices.segments.index_writer_memory_in_bytes

alias

node_stats.indices.segments.memory_in_bytes

alias

node_stats.indices.segments.norms_memory_in_bytes

alias

node_stats.indices.segments.points_memory_in_bytes

alias

node_stats.indices.segments.stored_fields_memory_in_bytes

alias

node_stats.indices.segments.term_vectors_memory_in_bytes

alias

node_stats.indices.segments.terms_memory_in_bytes

alias

node_stats.indices.segments.version_map_memory_in_bytes

alias

node_stats.indices.store.size.bytes

alias

node_stats.indices.store.size_in_bytes

alias

node_stats.jvm.gc.collectors.old.collection_count

alias

node_stats.jvm.gc.collectors.old.collection_time_in_millis

alias

node_stats.jvm.gc.collectors.young.collection_count

alias

node_stats.jvm.gc.collectors.young.collection_time_in_millis

alias

node_stats.jvm.mem.heap_max_in_bytes

alias

node_stats.jvm.mem.heap_used_in_bytes

alias

node_stats.jvm.mem.heap_used_percent

alias

node_stats.node_id

alias

node_stats.os.cgroup.cpu.cfs_quota_micros

alias

node_stats.os.cgroup.cpu.stat.number_of_elapsed_periods

alias

node_stats.os.cgroup.cpu.stat.number_of_times_throttled

alias

node_stats.os.cgroup.cpu.stat.time_throttled_nanos

alias

node_stats.os.cgroup.cpuacct.usage_nanos

alias

node_stats.os.cgroup.memory.control_group

alias

node_stats.os.cgroup.memory.limit_in_bytes

alias

node_stats.os.cgroup.memory.usage_in_bytes

alias

node_stats.os.cpu.load_average.1m

alias

node_stats.process.cpu.percent

alias

node_stats.thread_pool.bulk.queue

alias

node_stats.thread_pool.bulk.rejected

alias

node_stats.thread_pool.get.queue

alias

node_stats.thread_pool.get.rejected

alias

node_stats.thread_pool.index.queue

alias

node_stats.thread_pool.index.rejected

alias

node_stats.thread_pool.search.queue

alias

node_stats.thread_pool.search.rejected

alias

node_stats.thread_pool.write.queue

alias

node_stats.thread_pool.write.rejected

alias

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Pending tasks
edit
Example

An example event for pending_tasks looks as following:

{
    "agent": {
        "name": "docker-fleet-agent",
        "id": "f11de143-c31c-49a2-8756-83697dbabe0f",
        "ephemeral_id": "3469da57-3138-4702-abc6-8b95e081fc12",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "@timestamp": "2022-09-21T16:00:34.116Z",
    "elasticsearch": {
        "cluster": {
            "name": "elasticsearch",
            "id": "N9ZLPL5RQHS67eZBrujPYg"
        },
        "pending_tasks": {
            "time_in_queue.ms": 50,
            "source": "create-index [foo-bar-1663776034], cause [api]",
            "priority": "URGENT",
            "insert_order": 3272
        }
    },
    "ecs": {
        "version": "8.0.0"
    },
    "service": {
        "address": "https://elasticsearch:9200",
        "name": "elasticsearch",
        "type": "elasticsearch"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "elasticsearch.stack_monitoring.pending_tasks"
    },
    "elastic_agent": {
        "id": "f11de143-c31c-49a2-8756-83697dbabe0f",
        "version": "8.5.0",
        "snapshot": true
    },
    "host": {
        "hostname": "docker-fleet-agent",
        "os": {
            "kernel": "5.10.47-linuxkit",
            "codename": "focal",
            "name": "Ubuntu",
            "family": "debian",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)",
            "platform": "ubuntu"
        },
        "containerized": true,
        "ip": [
            "172.28.0.7"
        ],
        "name": "docker-fleet-agent",
        "id": "f1eefc91053740c399ff6f1cd52c37bb",
        "mac": [
            "02-42-AC-1C-00-07"
        ],
        "architecture": "x86_64"
    },
    "metricset": {
        "period": 10000,
        "name": "pending_tasks"
    },
    "event": {
        "duration": 4546300,
        "agent_id_status": "verified",
        "ingested": "2022-09-21T16:00:35Z",
        "module": "elasticsearch",
        "dataset": "elasticsearch.stack_monitoring.pending_tasks"
    }
}
Exported fields
Field Description Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

elasticsearch.pending_tasks.insert_order

Insert order

long

elasticsearch.pending_tasks.priority

Priority

keyword

elasticsearch.pending_tasks.source

Source. For example: put-mapping

keyword

elasticsearch.pending_tasks.time_in_queue.ms

Time in queue

long

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Shard
edit

shard interrogates the Cluster State API endpoint to fetch information about all shards.

Example

An example event for shard looks as following:

{
    "@timestamp": "2022-10-11T12:00:04.109Z",
    "agent": {
        "ephemeral_id": "ff5b976d-76c5-46ff-8ca0-b78828af3950",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "elasticsearch.stack_monitoring.shard",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "elasticsearch": {
        "cluster": {
            "id": "rOwlC3lOTzC64KncMOKXkA",
            "name": "elasticsearch",
            "state": {
                "id": "wYk2RYBFT4K4m91iKD2rJQ"
            },
            "stats": {
                "state": {
                    "state_uuid": "wYk2RYBFT4K4m91iKD2rJQ"
                }
            }
        },
        "index": {
            "name": ".ml-anomalies-custom-test-job1"
        },
        "node": {
            "id": "66VKJaFeRDOIwmKcAcvnlA",
            "name": "3d0712405273"
        },
        "shard": {
            "number": 0,
            "primary": true,
            "relocating_node": {},
            "source_node": {
                "name": "3d0712405273",
                "uuid": "66VKJaFeRDOIwmKcAcvnlA"
            },
            "state": "STARTED"
        }
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "elasticsearch.stack_monitoring.shard",
        "duration": 80668875,
        "ingested": "2022-10-11T12:00:05Z",
        "module": "elasticsearch"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "metricset": {
        "name": "shard",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-elasticsearch-1:9200",
        "type": "elasticsearch"
    }
}
Exported fields
Field Description Type

@timestamp

Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.

date

cluster_uuid

alias

data_stream.dataset

Data stream dataset.

constant_keyword

data_stream.namespace

Data stream namespace.

constant_keyword

data_stream.type

Data stream type.

constant_keyword

ecs.version

ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices — which may conform to slightly different ECS versions — this field lets integrations adjust to the schema version of the events.

keyword

elasticsearch.cluster.id

Elasticsearch cluster id.

keyword

elasticsearch.cluster.name

Elasticsearch cluster name.

keyword

elasticsearch.cluster.state.id

Elasticsearch state id.

keyword

elasticsearch.cluster.stats.state.state_uuid

keyword

elasticsearch.index.name

keyword

elasticsearch.node.id

Node ID

keyword

elasticsearch.node.master

Is the node the master node?

boolean

elasticsearch.node.mlockall

Is mlockall enabled on the node?

boolean

elasticsearch.node.name

Node name.

keyword

elasticsearch.shard.number

The number of this shard.

long

elasticsearch.shard.primary

True if this is the primary shard.

boolean

elasticsearch.shard.relocating_node.id

The node the shard was relocated from. It has the exact same value than relocating_node.name for compatibility purposes.

keyword

elasticsearch.shard.relocating_node.name

The node the shard was relocated from.

keyword

elasticsearch.shard.source_node.name

keyword

elasticsearch.shard.source_node.uuid

keyword

elasticsearch.shard.state

The state of this shard.

keyword

error.message

Error message.

match_only_text

event.dataset

Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It’s recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.

keyword

event.duration

Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.

long

event.module

Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module.

keyword

host.name

Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.

keyword

service.address

Service address

keyword

service.name

Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.

keyword

service.type

The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.

keyword

shard.index

alias

shard.node

alias

shard.primary

alias

shard.shard

alias

shard.state

alias

source_node.name

alias

source_node.uuid

alias

timestamp

alias

Changelog

edit
Changelog
Version Details Kibana version(s)

1.15.3

Bug fix (View pull request)
Make elasticsearch.node.name a TSDS dimension to prevent document collisions.

8.10.1 or higher

1.15.2

Enhancement (View pull request)
Add support for HTTP timeout in all elasticsearch metricsets

8.10.1 or higher

1.15.1

Enhancement (View pull request)
Add visualizations for data tier capacity

8.10.1 or higher

1.15.0

Enhancement (View pull request)
Add support shard_stats.total_count in node metricset

8.10.1 or higher

1.14.0

Enhancement (View pull request)
Add support for tags

8.10.1 or higher

1.13.1

Bug fix (View pull request)
Make "Total Storage over time" viz consistent with others by using same sourceField

8.10.1 or higher

1.13.0

Enhancement (View pull request)
Add mapping for total_data_set_size

8.10.1 or higher

1.12.1

Bug fix (View pull request)
Minor mapping fixes

8.10.1 or higher

1.12.0

Enhancement (View pull request)
Add dashboards to monitor ingestion volume / storage (Technical Preview/Beta)

8.10.1 or higher

1.11.2

Bug fix (View pull request)
Disable otherBucket in the panels of [Elasticsearch] Ingest Pipeline Details dashboard

8.10.1 or higher

1.11.1

Bug fix (View pull request)
Audit Pipeline Ignore Missing elasticsearch.audit.user.run_as.name

8.10.1 or higher

1.11.0

Enhancement (View pull request)
Make Stack Monitoring metrics GA

8.10.1 or higher

1.10.0

Enhancement (View pull request)
Add support for api_key authentication

8.10.0 or higher

1.9.0

Enhancement (View pull request)
Enable time series data streams for the metrics datasets Index, Index Summary, Index Recovery, ML Job, Ingest Pipeline, Node and Node Stats. This improves storage usage and query performance. For more details, see https://www.elastic.co/guide/en/elasticsearch/reference/current/tsds.html

8.8.0 or higher

1.8.1

Enhancement (View pull request)
Add metric_type mapping for the fields of metrics datasets to support TSDB.

8.8.0 or higher

1.8.0

Enhancement (View pull request)
Set fields as dimensions for TSDB migration.

8.8.0 or higher

1.7.4

Bug fix (View pull request)
Fix elasticsearch.server.tags mapping

8.8.0 or higher

1.7.3

Bug fix (View pull request)
Add missing index_recovery.active_only configuration

8.8.0 or higher

1.7.2

Bug fix (View pull request)
Add missing event fields field mapping

8.8.0 or higher

1.7.1

Bug fix (View pull request)
Add host.ip field mapping to Elasticsearch

8.8.0 or higher

1.7.0

Enhancement (View pull request)
Add event.module field to Elasticsearch for Logs

8.8.0 or higher

1.6.2

Bug fix (View pull request)
Add missing ssl, condition and leader_election support to elasticsearch ingest pipeline datastream

8.8.0 or higher

1.6.1

Bug fix (View pull request)
Add explicit mapping for event timestamp fields

8.8.0 or higher

1.6.0

Enhancement (View pull request)
Make scope variable a select

Enhancement (View pull request)
Add roles to node

8.8.0 or higher

1.5.0

Enhancement (View pull request)
Add force_merge to thread_pool node stats

8.7.0 or higher

1.4.3

Bug fix (View pull request)
Add mappings for ccr read_exceptions

8.7.0 or higher

1.4.2

Bug fix (View pull request)
Clarify that the metrics collected power the Stack Monitoring application

8.7.0 or higher

1.4.1

Bug fix (View pull request)
Fix collection of shard recovery total time

8.7.0 or higher

1.4.0

Enhancement (View pull request)
Add ingest pipeline monitoring dataset and dashboard (experimental)

8.7.0 or higher

1.3.0

Enhancement (View pull request)
Add conditional support to Elasticsearch log and metrics inputs

Enhancement (View pull request)
Add leader election support to Elasticsearch inputs metrics inputs

8.5.0 or higher

1.2.0

Enhancement (View pull request)
Add period variable to define polling frequency

8.5.0 or higher

1.2.0-preview2

Enhancement (View pull request)
Add GC log level

1.2.0-preview1

Enhancement (View pull request)
Add ssl configuration option for metricsets

1.1.0-preview1

Enhancement (View pull request)
Suffix stack_monitoring to the datasets

Bug fix (View pull request)
Align metrics mappings with metricbeat

0.3.0

Enhancement (View pull request)
Add scope configuration option for metricsets

0.2.2

Enhancement (View pull request)
Add documentation for multi-fields

0.2.1

Bug fix (View pull request)
Fix version mapping in the index_recovery data stream.

0.2.0

Enhancement (View pull request)
Update to ECS 1.12.0

0.1.0

Enhancement (View pull request)
initial release