Node Stats API
editNode Stats API
editThe node stats API retrieves runtime stats about Logstash.
curl -XGET 'localhost:9600/_node/stats/<types>'
Where <types>
is optional and specifies the types of stats you want to return.
By default, all stats are returned. You can limit the info that’s returned by combining any of the following types in a comma-separated list:
Gets JVM stats, including stats about threads, memory usage, garbage collectors, and uptime. |
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Gets process stats, including stats about file descriptors, memory consumption, and CPU usage. |
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Gets event-related statistics for the Logstash instance (regardless of how many pipelines were created and destroyed). |
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Gets flow-related statistics for the Logstash instance (regardless of how many pipelines were created and destroyed). |
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Gets runtime stats about each Logstash pipeline. |
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Gets runtime stats about config reload successes and failures. |
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Gets runtime stats about cgroups when Logstash is running in a container. |
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Gets stats for databases used with the Geoip filter plugin. |
See Common Options for a list of options that can be applied to all Logstash monitoring APIs.
JVM stats
editThe following request returns a JSON document containing JVM stats:
curl -XGET 'localhost:9600/_node/stats/jvm?pretty'
Example response:
{ "jvm" : { "threads" : { "count" : 49, "peak_count" : 50 }, "mem" : { "heap_used_percent" : 14, "heap_committed_in_bytes" : 309866496, "heap_max_in_bytes" : 1037959168, "heap_used_in_bytes" : 151686096, "non_heap_used_in_bytes" : 122486176, "non_heap_committed_in_bytes" : 133222400, "pools" : { "survivor" : { "peak_used_in_bytes" : 8912896, "used_in_bytes" : 288776, "peak_max_in_bytes" : 35782656, "max_in_bytes" : 35782656, "committed_in_bytes" : 8912896 }, "old" : { "peak_used_in_bytes" : 148656848, "used_in_bytes" : 148656848, "peak_max_in_bytes" : 715849728, "max_in_bytes" : 715849728, "committed_in_bytes" : 229322752 }, "young" : { "peak_used_in_bytes" : 71630848, "used_in_bytes" : 2740472, "peak_max_in_bytes" : 286326784, "max_in_bytes" : 286326784, "committed_in_bytes" : 71630848 } } }, "gc" : { "collectors" : { "old" : { "collection_time_in_millis" : 607, "collection_count" : 12 }, "young" : { "collection_time_in_millis" : 4904, "collection_count" : 1033 } } }, "uptime_in_millis" : 1809643 } }
Process stats
editThe following request returns a JSON document containing process stats:
curl -XGET 'localhost:9600/_node/stats/process?pretty'
Example response:
{ "process" : { "open_file_descriptors" : 184, "peak_open_file_descriptors" : 185, "max_file_descriptors" : 10240, "mem" : { "total_virtual_in_bytes" : 5486125056 }, "cpu" : { "total_in_millis" : 657136, "percent" : 2, "load_average" : { "1m" : 2.38134765625 } } } }
Event stats
editThe following request returns a JSON document containing event-related statistics for the Logstash instance:
curl -XGET 'localhost:9600/_node/stats/events?pretty'
Example response:
{ "events" : { "in" : 293658, "filtered" : 293658, "out" : 293658, "duration_in_millis" : 2324391, "queue_push_duration_in_millis" : 343816 }
Flow stats
editThe following request returns a JSON document containing flow-rates for the Logstash instance:
curl -XGET 'localhost:9600/_node/stats/flow?pretty'
Example response:
{ "flow" : { "input_throughput" : { "current": 189.720, "lifetime": 201.841 }, "filter_throughput" : { "current": 187.810, "lifetime": 201.799 }, "output_throughput" : { "current": 191.087, "lifetime": 201.761 }, "queue_backpressure" : { "current": 0.277, "lifetime": 0.031 }, "worker_concurrency" : { "current": 1.973, "lifetime": 1.721 }, "worker_utilization" : { "current": 49.32, "lifetime": 43.02 } } }
When the rate for a given flow metric window is infinite, it is presented as a string (either "Infinity"
or "-Infinity"
).
This occurs when the numerator metric has changed during the window without a change in the rate’s denominator metric.
Flow rates provide visibility into how a Logstash instance or an individual pipeline is currently performing relative to itself over time. This allows us to attach meaning to the cumulative-value metrics that are also presented by this API, and to determine whether an instance or pipeline is behaving better or worse than it has in the past.
The following flow rates are available for the logstash process as a whole and for each of its pipelines individually. In addition, pipelines may have additional flow rates depending on their configuration.
Flow Rate | Definition |
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This metric is expressed in events-per-second, and is the rate of events being pushed into the pipeline(s) queue(s) relative to wall-clock time ( |
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This metric is expressed in events-per-second, and is the rate of events flowing through the filter phase of the pipeline(s) relative to wall-clock time ( |
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This metric is expressed in events-per-second, and is the rate of events flowing through the output phase of the pipeline(s) relative to wall-clock time ( |
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This is a unitless metric representing the cumulative time spent by all workers relative to wall-clock time ( A pipeline is considered "saturated" when its A process is also considered "saturated" when its top-level |
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This is a unitless metric that indicates the percentage of available worker time being used by all plugins in a given pipeline ( A pipeline is considered "saturated" when its A pipeline is considered "starved" when its |
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This is a unitless metric representing the cumulative time spent by all inputs blocked pushing events into their pipeline’s queue, relative to wall-clock time ( While a "zero" value indicates no back-pressure to the queue, the magnitude of this metric is highly dependent on the shape of the pipelines and their inputs. It cannot be used to compare one pipeline to another or even one process to itself if the quantity or shape of its pipelines changes. A pipeline with only one single-threaded input may contribute up to 1.00, a pipeline whose inputs have hundreds of inbound connections may contribute much higher numbers to this combined value. Additionally, some amount of back-pressure is both normal and expected for pipelines that are pulling data, as this back-pressure allows them to slow down and pull data at a rate its downstream pipeline can tolerate. |
Each flow stat includes rates for one or more recent windows of time:
Flow Window | Availability | Definition |
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Stable |
the most recent ~10s |
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Stable |
the lifetime of the relevant pipeline or process |
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Technology Preview |
the most recent ~1 minute |
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Technology Preview |
the most recent ~5 minutes |
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Technology Preview |
the most recent ~15 minutes |
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Technology Preview |
the most recent ~1 hour |
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Technology Preview |
the most recent ~24 hours |
The flow rate windows marked as "Technology Preview" are subject to change without notice. Future releases of Logstash may include more, fewer, or different windows for each rate in response to community feedback.
Pipeline stats
editThe following request returns a JSON document containing pipeline stats, including:
- the number of events that were input, filtered, or output by each pipeline
- the current and lifetime flow rates for each pipeline
- stats for each configured filter or output stage
- info about config reload successes and failures (when config reload is enabled)
- info about the persistent queue (when persistent queues are enabled)
curl -XGET 'localhost:9600/_node/stats/pipelines?pretty'
Example response:
{ "pipelines" : { "test" : { "events" : { "duration_in_millis" : 365495, "in" : 216610, "filtered" : 216485, "out" : 216485, "queue_push_duration_in_millis" : 342466 }, "flow" : { "input_throughput" : { "current" : 603.1, "lifetime" : 575.4 }, "filter_throughput" : { "current" : 604.2, "lifetime" : 575.1 }, "output_throughput" : { "current" : 604.8, "lifetime" : 575.1 }, "queue_backpressure" : { "current" : 0.214, "lifetime" : 0.937 }, "worker_concurrency" : { "current" : 0.941, "lifetime" : 0.9709 }, "worker_utilization" : { "current" : 93.092, "lifetime" : 92.187 } }, "plugins" : { "inputs" : [ { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-1", "events" : { "out" : 216485, "queue_push_duration_in_millis" : 342466 }, "flow" : { "throughput" : { "current" : 603.1, "lifetime" : 590.7 } }, "name" : "beats" } ], "filters" : [ { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-2", "events" : { "duration_in_millis" : 55969, "in" : 216485, "out" : 216485 }, "failures" : 216485, "patterns_per_field" : { "message" : 1 }, "flow" : { "worker_utilization" : { "current" : 16.71, "lifetime" : 15.27 }, "worker_millis_per_event" : { "current" : 2829, "lifetime" : 0.2585 } }, "name" : "grok" }, { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-3", "events" : { "duration_in_millis" : 3326, "in" : 216485, "out" : 216485 }, "flow" : { "worker_utilization" : { "current" : 1.042, "lifetime" : 0.9076 }, "worker_millis_per_event" : { "current" : 0.01763, "lifetime" : 0.01536 } }, "name" : "geoip" } ], "outputs" : [ { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-4", "events" : { "duration_in_millis" : 278557, "in" : 216485, "out" : 216485 }, "flow" : { "worker_utilization" : { "current" : 75.34, "lifetime" : 76.01 }, "worker_millis_per_event" : { "current" : 1.276, "lifetime" : 1.287 } }, "name" : "elasticsearch" } ] }, "reloads" : { "last_error" : null, "successes" : 0, "last_success_timestamp" : null, "last_failure_timestamp" : null, "failures" : 0 }, "queue" : { "type" : "memory" } }, "test2" : { "events" : { "duration_in_millis" : 2222229, "in" : 87247, "filtered" : 87247, "out" : 87247, "queue_push_duration_in_millis" : 1532 }, "flow" : { "input_throughput" : { "current" : 301.7, "lifetime" : 231.8 }, "filter_throughput" : { "current" : 207.2, "lifetime" : 231.8 }, "output_throughput" : { "current" : 207.2, "lifetime" : 231.8 }, "queue_backpressure" : { "current" : 0.735, "lifetime" : 0.0006894 }, "worker_concurrency" : { "current" : 8.0, "lifetime" : 5.903 }, "worker_utilization" : { "current" : 100, "lifetime" : 75.8 } }, "plugins" : { "inputs" : [ { "id" : "d7ea8941c0fc48ac58f89c84a9da482107472b82-1", "events" : { "out" : 87247, "queue_push_duration_in_millis" : 1532 }, "flow" : { "throughput" : { "current" : 301.7, "lifetime" : 238.1 } }, "name" : "twitter" } ], "filters" : [ ], "outputs" : [ { "id" : "d7ea8941c0fc48ac58f89c84a9da482107472b82-2", "events" : { "duration_in_millis" : 2222229, "in" : 87247, "out" : 87247 }, "flow" : { "worker_utilization" : { "current" : 100, "lifetime" : 75.8 }, "worker_millis_per_event" : { "current" : 33.6, "lifetime" : 25.47 } }, "name" : "elasticsearch" } ] }, "reloads" : { "last_error" : null, "successes" : 0, "last_success_timestamp" : null, "last_failure_timestamp" : null, "failures" : 0 }, "queue" : { "type" : "memory" } } } }
You can see the stats for a specific pipeline by including the pipeline ID. In
the following example, the ID of the pipeline is test
:
curl -XGET 'localhost:9600/_node/stats/pipelines/test?pretty'
Example response:
{ "pipelines" : { "test" : { "events" : { "duration_in_millis" : 365495, "in" : 216485, "filtered" : 216485, "out" : 216485, "queue_push_duration_in_millis" : 2283 }, "flow" : { "input_throughput" : { "current" : 871.3, "lifetime" : 575.1 }, "filter_throughput" : { "current" : 874.8, "lifetime" : 575.1 }, "output_throughput" : { "current" : 874.8, "lifetime" : 575.1 }, "queue_backpressure" : { "current" : 0, "lifetime" : 0.006246 }, "worker_concurrency" : { "current" : 1.471, "lifetime" : 0.9709 }, "worker_utilization" : { "current" : 74.54, "lifetime" : 46.10 }, "queue_persisted_growth_bytes" : { "current" : 8731, "lifetime" : 0.0106 }, "queue_persisted_growth_events" : { "current" : 0.0, "lifetime" : 0.0 } }, "plugins" : { "inputs" : [ { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-1", "events" : { "out" : 216485, "queue_push_duration_in_millis" : 2283 }, "flow" : { "throughput" : { "current" : 871.3, "lifetime" : 590.7 } }, "name" : "beats" } ], "filters" : [ { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-2", "events" : { "duration_in_millis" : 55969, "in" : 216485, "out" : 216485 }, "failures" : 216485, "patterns_per_field" : { "message" : 1 }, "flow" : { "worker_utilization" : { "current" : 10.53, "lifetime" : 7.636 }, "worker_millis_per_event" : { "current" : 0.3565, "lifetime" : 0.2585 } }, "name" : "grok" }, { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-3", "events" : { "duration_in_millis" : 3326, "in" : 216485, "out" : 216485 }, "name" : "geoip", "flow" : { "worker_utilization" : { "current" : 1.743, "lifetime" : 0.4538 }, "worker_millis_per_event" : { "current" : 0.0590, "lifetime" : 0.01536 } } } ], "outputs" : [ { "id" : "35131f351e2dc5ed13ee04265a8a5a1f95292165-4", "events" : { "duration_in_millis" : 278557, "in" : 216485, "out" : 216485 }, "flow" : { "worker_utilization" : { "current" : 62.27, "lifetime" : 38.01 }, "worker_millis_per_event" : { "current" : 2.109, "lifetime" : 1.287 } }, "name" : "elasticsearch" } ] }, "reloads" : { "last_error" : null, "successes" : 0, "last_success_timestamp" : null, "last_failure_timestamp" : null, "failures" : 0 }, "queue": { "type" : "persisted", "capacity": { "max_unread_events": 0, "page_capacity_in_bytes": 67108864, "max_queue_size_in_bytes": 1073741824, "queue_size_in_bytes": 3885 }, "data": { "path": "/pipeline/queue/path", "free_space_in_bytes": 936886480896, "storage_type": "apfs" }, "events": 0, "events_count": 0, "queue_size_in_bytes": 3885, "max_queue_size_in_bytes": 1073741824 } } } }
Pipeline flow rates
editEach pipeline’s entry in the API response includes a number of pipeline-scoped flow rates such as input_throughput
, worker_concurrency
, and queue_backpressure
to provide visibility into the flow of events through the pipeline.
When configured with a persistent queue, the pipeline’s flow
will include additional rates to provide visibility into the health of the pipeline’s persistent queue:
Flow Rate | Definition |
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This metric is expressed in events-per-second, and is the rate of change of the number of unacknowleged events in the queue, relative to wall-clock time ( |
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This metric is expressed in bytes-per-second, and is the rate of change of the size of the persistent queue on disk, relative to wall-clock time ( NOTE: The size of a PQ on disk includes both unacknowledged events and previously-acknowledged events from pages that contain one or more unprocessed events. This means it grows gradually as individual events are added, but shrinks in large chunks each time a whole page of processed events is reclaimed (read more: PQ disk garbage collection). |
Plugin flow rates
editSeveral additional plugin-level flow rates are available, and can be helpful for identifying problems with individual plugins:
Flow Rate | Plugin Types | Definition |
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|
Inputs |
This metric is expressed in events-per-second, and is the rate of events this input plugin is pushing into the pipeline’s queue relative to wall-clock time ( |
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Filters, Outputs |
This is a unitless metric that indicates the percentage of available worker time being used by this individual plugin ( |
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Filters, Outputs |
This metric is expressed in worker-millis-spent-per-event ( |
Reload stats
editThe following request returns a JSON document that shows info about config reload successes and failures.
curl -XGET 'localhost:9600/_node/stats/reloads?pretty'
Example response:
{ "reloads": { "successes": 0, "failures": 0 } }
OS stats
editWhen Logstash is running in a container, the following request returns a JSON document that contains cgroup information to give you a more accurate view of CPU load, including whether the container is being throttled.
curl -XGET 'localhost:9600/_node/stats/os?pretty'
Example response:
{ "os" : { "cgroup" : { "cpuacct" : { "control_group" : "/elastic1", "usage_nanos" : 378477588075 }, "cpu" : { "control_group" : "/elastic1", "cfs_period_micros" : 1000000, "cfs_quota_micros" : 800000, "stat" : { "number_of_elapsed_periods" : 4157, "number_of_times_throttled" : 460, "time_throttled_nanos" : 581617440755 } } } } }
Geoip database stats
editYou can monitor stats for the geoip databases used with the Geoip filter plugin.
curl -XGET 'localhost:9600/_node/stats/geoip_download_manager?pretty'
For more info, see Database Metrics in the Geoip filter plugin docs.