- Elasticsearch Guide: other versions:
- What’s new in 8.17
- Elasticsearch basics
- Quick starts
- Set up Elasticsearch
- Run Elasticsearch locally
- Installing Elasticsearch
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- Token count
- Unsigned long
- Version
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analyzer
coerce
copy_to
doc_values
dynamic
eager_global_ordinals
enabled
format
ignore_above
index.mapping.ignore_above
ignore_malformed
index
index_options
index_phrases
index_prefixes
meta
fields
normalizer
norms
null_value
position_increment_gap
properties
search_analyzer
similarity
store
subobjects
term_vector
- Mapping limit settings
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- Overview
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- Built-in analyzer reference
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- Connectors
- EQL
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- SQL
- Overview
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- Type Conversion Functions
- Geo Functions
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- System Functions
- Reserved keywords
- SQL Limitations
- Scripting
- Data management
- ILM: Manage the index lifecycle
- Tutorial: Customize built-in policies
- Tutorial: Automate rollover
- Index management in Kibana
- Overview
- Concepts
- Index lifecycle actions
- Configure a lifecycle policy
- Migrate index allocation filters to node roles
- Troubleshooting index lifecycle management errors
- Start and stop index lifecycle management
- Manage existing indices
- Skip rollover
- Restore a managed data stream or index
- Data tiers
- Autoscaling
- Monitor a cluster
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- Secure the Elastic Stack
- Elasticsearch security principles
- Start the Elastic Stack with security enabled automatically
- Manually configure security
- Updating node security certificates
- User authentication
- Built-in users
- Service accounts
- Internal users
- Token-based authentication services
- User profiles
- Realms
- Realm chains
- Security domains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- JWT authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Looking up users without authentication
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Role restriction
- Security privileges
- Document level security
- Field level security
- Granting privileges for data streams and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enable audit logging
- Restricting connections with IP filtering
- Securing clients and integrations
- Operator privileges
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Watcher
- Cross-cluster replication
- Data store architecture
- REST APIs
- API conventions
- Common options
- REST API compatibility
- Autoscaling APIs
- Behavioral Analytics APIs
- Compact and aligned text (CAT) APIs
- cat aliases
- cat allocation
- cat anomaly detectors
- cat component templates
- cat count
- cat data frame analytics
- cat datafeeds
- cat fielddata
- cat health
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- cat master
- cat nodeattrs
- cat nodes
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- cat plugins
- cat recovery
- cat repositories
- cat segments
- cat shards
- cat snapshots
- cat task management
- cat templates
- cat thread pool
- cat trained model
- cat transforms
- Cluster APIs
- Cluster allocation explain
- Cluster get settings
- Cluster health
- Health
- Cluster reroute
- Cluster state
- Cluster stats
- Cluster update settings
- Nodes feature usage
- Nodes hot threads
- Nodes info
- Prevalidate node removal
- Nodes reload secure settings
- Nodes stats
- Cluster Info
- Pending cluster tasks
- Remote cluster info
- Task management
- Voting configuration exclusions
- Create or update desired nodes
- Get desired nodes
- Delete desired nodes
- Get desired balance
- Reset desired balance
- Cross-cluster replication APIs
- Connector APIs
- Create connector
- Delete connector
- Get connector
- List connectors
- Update connector API key id
- Update connector configuration
- Update connector index name
- Update connector features
- Update connector filtering
- Update connector name and description
- Update connector pipeline
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- Update connector service type
- Create connector sync job
- Cancel connector sync job
- Delete connector sync job
- Get connector sync job
- List connector sync jobs
- Check in a connector
- Update connector error
- Update connector last sync stats
- Update connector status
- Check in connector sync job
- Claim connector sync job
- Set connector sync job error
- Set connector sync job stats
- Data stream APIs
- Document APIs
- Enrich APIs
- EQL APIs
- ES|QL APIs
- Features APIs
- Fleet APIs
- Graph explore API
- Index APIs
- Alias exists
- Aliases
- Analyze
- Analyze index disk usage
- Clear cache
- Clone index
- Close index
- Create index
- Create or update alias
- Create or update component template
- Create or update index template
- Create or update index template (legacy)
- Delete component template
- Delete dangling index
- Delete alias
- Delete index
- Delete index template
- Delete index template (legacy)
- Exists
- Field usage stats
- Flush
- Force merge
- Get alias
- Get component template
- Get field mapping
- Get index
- Get index settings
- Get index template
- Get index template (legacy)
- Get mapping
- Import dangling index
- Index recovery
- Index segments
- Index shard stores
- Index stats
- Index template exists (legacy)
- List dangling indices
- Open index
- Refresh
- Resolve index
- Resolve cluster
- Rollover
- Shrink index
- Simulate index
- Simulate template
- Split index
- Unfreeze index
- Update index settings
- Update mapping
- Index lifecycle management APIs
- Create or update lifecycle policy
- Get policy
- Delete policy
- Move to step
- Remove policy
- Retry policy
- Get index lifecycle management status
- Explain lifecycle
- Start index lifecycle management
- Stop index lifecycle management
- Migrate indices, ILM policies, and legacy, composable and component templates to data tiers routing
- Inference APIs
- Delete inference API
- Get inference API
- Perform inference API
- Create inference API
- Stream inference API
- Update inference API
- AlibabaCloud AI Search inference service
- Amazon Bedrock inference service
- Anthropic inference service
- Azure AI studio inference service
- Azure OpenAI inference service
- Cohere inference service
- Elasticsearch inference service
- ELSER inference service
- Google AI Studio inference service
- Google Vertex AI inference service
- HuggingFace inference service
- Mistral inference service
- OpenAI inference service
- Watsonx inference service
- Info API
- Ingest APIs
- Licensing APIs
- Logstash APIs
- Machine learning APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendars
- Create datafeeds
- Create filters
- Delete calendars
- Delete datafeeds
- Delete events from calendar
- Delete filters
- Delete forecasts
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Estimate model memory
- Flush jobs
- Forecast jobs
- Get buckets
- Get calendars
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get model snapshots
- Get model snapshot upgrade statistics
- Get overall buckets
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Reset jobs
- Revert model snapshots
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filters
- Update jobs
- Update model snapshots
- Upgrade model snapshots
- Machine learning data frame analytics APIs
- Create data frame analytics jobs
- Delete data frame analytics jobs
- Evaluate data frame analytics
- Explain data frame analytics
- Get data frame analytics jobs
- Get data frame analytics jobs stats
- Preview data frame analytics
- Start data frame analytics jobs
- Stop data frame analytics jobs
- Update data frame analytics jobs
- Machine learning trained model APIs
- Clear trained model deployment cache
- Create or update trained model aliases
- Create part of a trained model
- Create trained models
- Create trained model vocabulary
- Delete trained model aliases
- Delete trained models
- Get trained models
- Get trained models stats
- Infer trained model
- Start trained model deployment
- Stop trained model deployment
- Update trained model deployment
- Migration APIs
- Node lifecycle APIs
- Query rules APIs
- Reload search analyzers API
- Repositories metering APIs
- Rollup APIs
- Root API
- Script APIs
- Search APIs
- Search Application APIs
- Searchable snapshots APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Clear privileges cache
- Clear API key cache
- Clear service account token caches
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Bulk create or update roles API
- Bulk delete roles API
- Create or update users
- Create service account tokens
- Delegate PKI authentication
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete service account token
- Delete users
- Disable users
- Enable users
- Enroll Kibana
- Enroll node
- Get API key information
- Get application privileges
- Get builtin privileges
- Get role mappings
- Get roles
- Query Role
- Get service accounts
- Get service account credentials
- Get Security settings
- Get token
- Get user privileges
- Get users
- Grant API keys
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect prepare authentication
- OpenID Connect authenticate
- OpenID Connect logout
- Query API key information
- Query User
- Update API key
- Update Security settings
- Bulk update API keys
- SAML prepare authentication
- SAML authenticate
- SAML logout
- SAML invalidate
- SAML complete logout
- SAML service provider metadata
- SSL certificate
- Activate user profile
- Disable user profile
- Enable user profile
- Get user profiles
- Suggest user profile
- Update user profile data
- Has privileges user profile
- Create Cross-Cluster API key
- Update Cross-Cluster API key
- Snapshot and restore APIs
- Snapshot lifecycle management APIs
- SQL APIs
- Synonyms APIs
- Text structure APIs
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Command line tools
- elasticsearch-certgen
- elasticsearch-certutil
- elasticsearch-create-enrollment-token
- elasticsearch-croneval
- elasticsearch-keystore
- elasticsearch-node
- elasticsearch-reconfigure-node
- elasticsearch-reset-password
- elasticsearch-saml-metadata
- elasticsearch-service-tokens
- elasticsearch-setup-passwords
- elasticsearch-shard
- elasticsearch-syskeygen
- elasticsearch-users
- Optimizations
- Troubleshooting
- Fix common cluster issues
- Diagnose unassigned shards
- Add a missing tier to the system
- Allow Elasticsearch to allocate the data in the system
- Allow Elasticsearch to allocate the index
- Indices mix index allocation filters with data tiers node roles to move through data tiers
- Not enough nodes to allocate all shard replicas
- Total number of shards for an index on a single node exceeded
- Total number of shards per node has been reached
- Troubleshooting corruption
- Fix data nodes out of disk
- Fix master nodes out of disk
- Fix other role nodes out of disk
- Start index lifecycle management
- Start Snapshot Lifecycle Management
- Restore from snapshot
- Troubleshooting broken repositories
- Addressing repeated snapshot policy failures
- Troubleshooting an unstable cluster
- Troubleshooting discovery
- Troubleshooting monitoring
- Troubleshooting transforms
- Troubleshooting Watcher
- Troubleshooting searches
- Troubleshooting shards capacity health issues
- Troubleshooting an unbalanced cluster
- Capture diagnostics
- Migration guide
- Release notes
- Elasticsearch version 8.17.1
- Elasticsearch version 8.17.0
- Elasticsearch version 8.16.2
- Elasticsearch version 8.16.1
- Elasticsearch version 8.16.0
- Elasticsearch version 8.15.5
- Elasticsearch version 8.15.4
- Elasticsearch version 8.15.3
- Elasticsearch version 8.15.2
- Elasticsearch version 8.15.1
- Elasticsearch version 8.15.0
- Elasticsearch version 8.14.3
- Elasticsearch version 8.14.2
- Elasticsearch version 8.14.1
- Elasticsearch version 8.14.0
- Elasticsearch version 8.13.4
- Elasticsearch version 8.13.3
- Elasticsearch version 8.13.2
- Elasticsearch version 8.13.1
- Elasticsearch version 8.13.0
- Elasticsearch version 8.12.2
- Elasticsearch version 8.12.1
- Elasticsearch version 8.12.0
- Elasticsearch version 8.11.4
- Elasticsearch version 8.11.3
- Elasticsearch version 8.11.2
- Elasticsearch version 8.11.1
- Elasticsearch version 8.11.0
- Elasticsearch version 8.10.4
- Elasticsearch version 8.10.3
- Elasticsearch version 8.10.2
- Elasticsearch version 8.10.1
- Elasticsearch version 8.10.0
- Elasticsearch version 8.9.2
- Elasticsearch version 8.9.1
- Elasticsearch version 8.9.0
- Elasticsearch version 8.8.2
- Elasticsearch version 8.8.1
- Elasticsearch version 8.8.0
- Elasticsearch version 8.7.1
- Elasticsearch version 8.7.0
- Elasticsearch version 8.6.2
- Elasticsearch version 8.6.1
- Elasticsearch version 8.6.0
- Elasticsearch version 8.5.3
- Elasticsearch version 8.5.2
- Elasticsearch version 8.5.1
- Elasticsearch version 8.5.0
- Elasticsearch version 8.4.3
- Elasticsearch version 8.4.2
- Elasticsearch version 8.4.1
- Elasticsearch version 8.4.0
- Elasticsearch version 8.3.3
- Elasticsearch version 8.3.2
- Elasticsearch version 8.3.1
- Elasticsearch version 8.3.0
- Elasticsearch version 8.2.3
- Elasticsearch version 8.2.2
- Elasticsearch version 8.2.1
- Elasticsearch version 8.2.0
- Elasticsearch version 8.1.3
- Elasticsearch version 8.1.2
- Elasticsearch version 8.1.1
- Elasticsearch version 8.1.0
- Elasticsearch version 8.0.1
- Elasticsearch version 8.0.0
- Elasticsearch version 8.0.0-rc2
- Elasticsearch version 8.0.0-rc1
- Elasticsearch version 8.0.0-beta1
- Elasticsearch version 8.0.0-alpha2
- Elasticsearch version 8.0.0-alpha1
- Dependencies and versions
Elastic Oracle connector reference
editElastic Oracle connector reference
editElastic managed connector reference
editView Elastic managed connector reference
Availability and prerequisites
editThis connector is available natively in Elastic Cloud as of 8.12.0. To use this connector, satisfy all managed connector requirements.
Create a Oracle connector
editUse the UI
editTo create a new Oracle connector:
- In the Kibana UI, navigate to the Search → Content → Connectors page from the main menu, or use the global search field.
- Follow the instructions to create a new native Oracle connector.
For additional operations, see Connectors UI in Kibana.
Use the API
editYou can use the Elasticsearch Create connector API to create a new native Oracle connector.
For example:
resp = client.connector.put( connector_id="my-{service-name-stub}-connector", index_name="my-elasticsearch-index", name="Content synced from {service-name}", service_type="{service-name-stub}", is_native=True, ) print(resp)
const response = await client.connector.put({ connector_id: "my-{service-name-stub}-connector", index_name: "my-elasticsearch-index", name: "Content synced from {service-name}", service_type: "{service-name-stub}", is_native: true, }); console.log(response);
PUT _connector/my-oracle-connector { "index_name": "my-elasticsearch-index", "name": "Content synced from Oracle", "service_type": "oracle", "is_native": true }
You’ll also need to create an API key for the connector to use.
The user needs the cluster privileges manage_api_key
, manage_connector
and write_connector_secrets
to generate API keys programmatically.
To create an API key for the connector:
-
Run the following command, replacing values where indicated. Note the
id
andencoded
return values from the response:resp = client.security.create_api_key( name="my-connector-api-key", role_descriptors={ "my-connector-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "my-index_name", ".search-acl-filter-my-index_name", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": False } ] } }, ) print(resp)
const response = await client.security.createApiKey({ name: "my-connector-api-key", role_descriptors: { "my-connector-connector-role": { cluster: ["monitor", "manage_connector"], indices: [ { names: [ "my-index_name", ".search-acl-filter-my-index_name", ".elastic-connectors*", ], privileges: ["all"], allow_restricted_indices: false, }, ], }, }, }); console.log(response);
POST /_security/api_key { "name": "my-connector-api-key", "role_descriptors": { "my-connector-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "my-index_name", ".search-acl-filter-my-index_name", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": false } ] } } }
-
Use the
encoded
value to store a connector secret, and note theid
return value from this response:resp = client.perform_request( "POST", "/_connector/_secret", headers={"Content-Type": "application/json"}, body={ "value": "encoded_api_key" }, ) print(resp)
const response = await client.transport.request({ method: "POST", path: "/_connector/_secret", body: { value: "encoded_api_key", }, }); console.log(response);
POST _connector/_secret { "value": "encoded_api_key" }
-
Use the API key
id
and the connector secretid
to update the connector:resp = client.connector.update_api_key_id( connector_id="my_connector_id>", api_key_id="API key_id", api_key_secret_id="secret_id", ) print(resp)
const response = await client.connector.updateApiKeyId({ connector_id: "my_connector_id>", api_key_id: "API key_id", api_key_secret_id: "secret_id", }); console.log(response);
PUT /_connector/my_connector_id>/_api_key_id { "api_key_id": "API key_id", "api_key_secret_id": "secret_id" }
Refer to the Elasticsearch API documentation for details of all available Connector APIs.
Usage
editTo use this connector as a managed connector, see Elastic managed connectors.
The database user requires CONNECT
and DBA
privileges and must be the owner of the tables to be indexed.
Secure connection
editTo set up a secure connection the Oracle service must be installed on the system where the connector is running.
Follow these steps:
-
Set the
oracle_home
parameter to your Oracle home directory. If configuration files are not at the default location, set thewallet_configuration_path
parameter. -
Create a directory to store the wallet.
$ mkdir $ORACLE_HOME/ssl_wallet
-
Create file named
sqlnet.ora
at$ORACLE_HOME/network/admin
and add the following content:WALLET_LOCATION = (SOURCE = (METHOD = FILE) (METHOD_DATA = (DIRECTORY = $ORACLE_HOME/ssl_wallet))) SSL_CLIENT_AUTHENTICATION = FALSE SSL_VERSION = 1.0 SSL_CIPHER_SUITES = (SSL_RSA_WITH_AES_256_CBC_SHA) SSL_SERVER_DN_MATCH = ON
-
Run the following commands to create a wallet and attach an SSL certificate. Replace the file name with your file name.
$ orapki wallet create -wallet path-to-oracle-home/ssl_wallet -auto_login_only $ orapki wallet add -wallet path-to-oracle-home/ssl_wallet -trusted_cert -cert path-to-oracle-home/ssl_wallet/root_ca.pem -auto_login_only
For more information, refer to this Amazon RDS documentation about Oracle SSL. Oracle docs: https://docs.oracle.com/database/121/DBSEG/asossl.htm#DBSEG070.
For additional operations, see Connectors UI in Kibana.
Compatibility
editThis connector is compatible with Oracle Database versions 18c, 19c and 21c.
Configuration
editUse the following configuration fields to set up the connector:
- Connection source
-
Dropdown to determine the Oracle Source Connection:
Service Name
orSID
. Default value isSID
. Select Service Name option if connecting to a pluggable database. - SID
- SID of the database.
- Service name
- Service name for the database.
- Host
-
The IP address or hostname of the Oracle database server.
Default value is
127.0.0.1
. - Port
- Port number of the Oracle database server.
- Username
- Username to use to connect to the Oracle database server.
- Password
- Password to use to connect to the Oracle database server.
- Comma-separated list of tables
-
Comma-separated list of tables to monitor for changes. Default value is
*
. Examples:-
TABLE_1, TABLE_2
-
*
-
Documents and syncs
edit- Tables with no primary key defined are skipped.
-
If the table’s system change number (SCN) value is not between the
min(SCN)
andmax(SCN)
values of theSMON_SCN_TIME
table, the connector will not be able to retrieve the most recently updated time. Data will therefore index in every sync. For more details refer to the following discussion thread. -
The
sys
user is not supported, as it contains 1000+ system tables. If you need to work with thesys
user, use eithersysdba
orsysoper
and configure this as the username.
- Files bigger than 10 MB won’t be extracted.
- Permissions are not synced. All documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.
Sync rules
editBasic sync rules are identical for all connectors and are available by default.
Advanced sync rules are not available for this connector in the present version. Currently, filtering is controlled by ingest pipelines.
Known issues
editThere are no known issues for this connector.
See Known issues for any issues affecting all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
Framework and source
editThis connector is built with the Elastic connector framework.
This connector uses the generic database connector source code (branch 8.17, compatible with Elastic 8.17).
View additional code specific to this data source (branch 8.17, compatible with Elastic 8.17).
Self-managed connector reference
editView self-managed connector reference
Availability and prerequisites
editThis connector is available as a self-managed self-managed connector. This self-managed connector is compatible with Elastic versions 8.6.0+. To use this connector, satisfy all self-managed connector requirements.
Create a Oracle connector
editUse the UI
editTo create a new Oracle connector:
- In the Kibana UI, navigate to the Search → Content → Connectors page from the main menu, or use the global search field.
- Follow the instructions to create a new Oracle self-managed connector.
Use the API
editYou can use the Elasticsearch Create connector API to create a new self-managed Oracle self-managed connector.
For example:
resp = client.connector.put( connector_id="my-{service-name-stub}-connector", index_name="my-elasticsearch-index", name="Content synced from {service-name}", service_type="{service-name-stub}", ) print(resp)
const response = await client.connector.put({ connector_id: "my-{service-name-stub}-connector", index_name: "my-elasticsearch-index", name: "Content synced from {service-name}", service_type: "{service-name-stub}", }); console.log(response);
PUT _connector/my-oracle-connector { "index_name": "my-elasticsearch-index", "name": "Content synced from Oracle", "service_type": "oracle" }
You’ll also need to create an API key for the connector to use.
The user needs the cluster privileges manage_api_key
, manage_connector
and write_connector_secrets
to generate API keys programmatically.
To create an API key for the connector:
-
Run the following command, replacing values where indicated. Note the
encoded
return values from the response:resp = client.security.create_api_key( name="connector_name-connector-api-key", role_descriptors={ "connector_name-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "index_name", ".search-acl-filter-index_name", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": False } ] } }, ) print(resp)
const response = await client.security.createApiKey({ name: "connector_name-connector-api-key", role_descriptors: { "connector_name-connector-role": { cluster: ["monitor", "manage_connector"], indices: [ { names: [ "index_name", ".search-acl-filter-index_name", ".elastic-connectors*", ], privileges: ["all"], allow_restricted_indices: false, }, ], }, }, }); console.log(response);
POST /_security/api_key { "name": "connector_name-connector-api-key", "role_descriptors": { "connector_name-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "index_name", ".search-acl-filter-index_name", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": false } ] } } }
-
Update your
config.yml
file with the API keyencoded
value.
Refer to the Elasticsearch API documentation for details of all available Connector APIs.
Usage
editTo use this connector as a self-managed connector, see Self-managed connectors.
The database user requires CONNECT
and DBA
privileges and must be the owner of the tables to be indexed.
Secure connection
editTo set up a secure connection the Oracle service must be installed on the system where the connector is running.
Follow these steps:
-
Set the
oracle_home
parameter to your Oracle home directory. If configuration files are not at the default location, set thewallet_configuration_path
parameter. -
Create a directory to store the wallet.
$ mkdir $ORACLE_HOME/ssl_wallet
-
Create file named
sqlnet.ora
at$ORACLE_HOME/network/admin
and add the following content:WALLET_LOCATION = (SOURCE = (METHOD = FILE) (METHOD_DATA = (DIRECTORY = $ORACLE_HOME/ssl_wallet))) SSL_CLIENT_AUTHENTICATION = FALSE SSL_VERSION = 1.0 SSL_CIPHER_SUITES = (SSL_RSA_WITH_AES_256_CBC_SHA) SSL_SERVER_DN_MATCH = ON
-
Run the following commands to create a wallet and attach an SSL certificate. Replace the file name with your file name.
$ orapki wallet create -wallet path-to-oracle-home/ssl_wallet -auto_login_only $ orapki wallet add -wallet path-to-oracle-home/ssl_wallet -trusted_cert -cert path-to-oracle-home/ssl_wallet/root_ca.pem -auto_login_only
For more information, refer to this Amazon RDS documentation about Oracle SSL. Oracle docs: https://docs.oracle.com/database/121/DBSEG/asossl.htm#DBSEG070.
For additional operations, see Connectors UI in Kibana.
Compatibility
editOracle Database versions 18c, 19c and 21c are compatible with Elastic connector frameworks.
Configuration
editWhen using the self-managed connector workflow, these fields will use the default configuration set in the connector source code.
Note that this data source uses the generic_database.py
connector source code.
Refer to oracle.py
for additional code, specific to this data source.
These configurable fields will be rendered with their respective labels in the Kibana UI. Once connected, users will be able to update these values in Kibana.
Use the following configuration fields to set up the connector:
-
connection_source
- Determines the Oracle source: Service Name or SID. Default value is SID. Select Service Name if connecting to a pluggable database.
-
sid
- SID of the database.
-
service_name
- Service name for the database.
-
host
-
The IP address or hostname of the Oracle database server.
Default value is
127.0.0.1
. -
port
- Port number of the Oracle database server.
-
username
- Username to use to connect to the Oracle database server.
-
password
- Password to use to connect to the Oracle database server.
-
tables
-
Comma-separated list of tables to monitor for changes. Default value is
*
. Examples:-
TABLE_1, TABLE_2
-
*
-
-
oracle_protocol
-
Protocol which the connector uses to establish a connection.
Default value is
TCP
. For secure connections, useTCPS
. -
oracle_home
- Path to Oracle home directory to run connector in thick mode for secured connection. For unsecured connections, keep this field empty.
-
wallet_configuration_path
- Path to SSL Wallet configuration files.
-
fetch_size
-
Number of rows to fetch per request.
Default value is
50
. -
retry_count
-
Number of retry attempts after failed request to Oracle Database.
Default value is
3
.
Deployment using Docker
editYou can deploy the Oracle connector as a self-managed connector using Docker. Follow these instructions.
Step 1: Download sample configuration file
Download the sample configuration file. You can either download it manually or run the following command:
curl https://raw.githubusercontent.com/elastic/connectors/main/config.yml.example --output ~/connectors-config/config.yml
Remember to update the --output
argument value if your directory name is different, or you want to use a different config file name.
Step 2: Update the configuration file for your self-managed connector
Update the configuration file with the following settings to match your environment:
-
elasticsearch.host
-
elasticsearch.api_key
-
connectors
If you’re running the connector service against a Dockerized version of Elasticsearch and Kibana, your config file will look like this:
# When connecting to your cloud deployment you should edit the host value elasticsearch.host: http://host.docker.internal:9200 elasticsearch.api_key: <ELASTICSEARCH_API_KEY> connectors: - connector_id: <CONNECTOR_ID_FROM_KIBANA> service_type: oracle api_key: <CONNECTOR_API_KEY_FROM_KIBANA> # Optional. If not provided, the connector will use the elasticsearch.api_key instead
Using the elasticsearch.api_key
is the recommended authentication method. However, you can also use elasticsearch.username
and elasticsearch.password
to authenticate with your Elasticsearch instance.
Note: You can change other default configurations by simply uncommenting specific settings in the configuration file and modifying their values.
Step 3: Run the Docker image
Run the Docker image with the Connector Service using the following command:
docker run \ -v ~/connectors-config:/config \ --network "elastic" \ --tty \ --rm \ docker.elastic.co/enterprise-search/elastic-connectors:8.17.0.0 \ /app/bin/elastic-ingest \ -c /config/config.yml
Refer to DOCKER.md
in the elastic/connectors
repo for more details.
Find all available Docker images in the official registry.
We also have a quickstart self-managed option using Docker Compose, so you can spin up all required services at once: Elasticsearch, Kibana, and the connectors service.
Refer to this README in the elastic/connectors
repo for more information.
Documents and syncs
edit- Tables with no primary key defined are skipped.
-
If the table’s system change number (SCN) value is not between the
min(SCN)
andmax(SCN)
values of theSMON_SCN_TIME
table, the connector will not be able to retrieve the most recently updated time. Data will therefore index in every sync. For more details refer to the following discussion thread. -
The
sys
user is not supported, as it contains 1000+ system tables. If you need to work with thesys
user, use eithersysdba
orsysoper
and configure this as the username.
- Files bigger than 10 MB won’t be extracted.
- Permissions are not synced. All documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.
Sync rules
editBasic sync rules are identical for all connectors and are available by default.
Advanced sync rules are not available for this connector in the present version. Currently, filtering is controlled by ingest pipelines.
Self-managed connector operations
editEnd-to-end testing
editThe connector framework enables operators to run functional tests against a real data source. Refer to Connector testing for more details.
To execute a functional test for the Oracle connector, run the following command:
make ftest NAME=oracle
By default, this will use a medium-sized dataset.
To make the test faster add the DATA_SIZE=small
argument:
make ftest NAME=oracle DATA_SIZE=small
Known issues
editThere are no known issues for this connector.
See Known issues for any issues affecting all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
Framework and source
editThis connector is built with the Elastic connector framework.
This connector uses the generic database connector source code (branch 8.17, compatible with Elastic 8.17).
View additional code specific to this data source (branch 8.17, compatible with Elastic 8.17).
On this page
- Elastic managed connector reference
- Availability and prerequisites
- Create a Oracle connector
- Use the UI
- Use the API
- Usage
- Secure connection
- Compatibility
- Configuration
- Documents and syncs
- Sync rules
- Known issues
- Troubleshooting
- Security
- Framework and source
- Self-managed connector reference
- Availability and prerequisites
- Create a Oracle connector
- Use the UI
- Use the API
- Usage
- Secure connection
- Compatibility
- Configuration
- Deployment using Docker
- Documents and syncs
- Sync rules
- Self-managed connector operations
- End-to-end testing
- Known issues
- Troubleshooting
- Security
- Framework and source