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analyzer
coerce
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doc_values
dynamic
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enabled
format
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index.mapping.ignore_above
ignore_malformed
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index_phrases
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fields
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- ILM: Manage the index lifecycle
- Tutorial: Customize built-in policies
- Tutorial: Automate rollover
- Index management in Kibana
- Overview
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- Index lifecycle actions
- Configure a lifecycle policy
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- Active Directory user authentication
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- 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
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- Granting privileges for data streams and aliases
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- Enable audit logging
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- Operator privileges
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
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- Limitations
- Watcher
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- REST API compatibility
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- Behavioral Analytics APIs
- Compact and aligned text (CAT) APIs
- cat aliases
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- Cluster APIs
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- Health
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- Cluster Info
- Pending cluster tasks
- Remote cluster info
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- 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
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- List connectors
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- Create connector sync job
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- Check in a connector
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- Check in connector sync job
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- Set connector sync job stats
- Data stream APIs
- Document APIs
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- EQL APIs
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- 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
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- Elasticsearch inference service
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- Info API
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- 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
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- Delete forecasts
- Delete jobs
- Delete jobs from calendar
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- 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
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- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filters
- Update jobs
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- Upgrade model snapshots
- Machine learning data frame analytics APIs
- Create data frame analytics jobs
- Delete data frame analytics jobs
- Evaluate data frame analytics
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- Get data frame analytics jobs
- Get data frame analytics jobs stats
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- Start data frame analytics jobs
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- Machine learning trained model APIs
- Clear trained model deployment cache
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- Create part of a trained model
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- Migration APIs
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- Create or update roles
- Bulk create or update roles API
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- 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
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- 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 PostgreSQL connector reference
editElastic PostgreSQL connector reference
editThe Elastic PostgreSQL connector is a connector for PostgreSQL. This connector is written in Python using the Elastic connector framework.
This connector uses the generic database connector source code (branch 8.17, compatible with Elastic 8.17). View the specific source code for this connector (branch 8.17, compatible with Elastic 8.17).
Elastic managed connector (Elastic Cloud)
editView Elastic managed connector reference
Availability and prerequisites
editThis connector is available as an Elastic managed connector in Elastic versions 8.8.0 and later. To use this connector natively in Elastic Cloud, satisfy all Elastic managed connector requirements.
Create a PostgreSQL connector
editUse the UI
editTo create a new PostgreSQL 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 PostgreSQL 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 PostgreSQL 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-postgresql-connector { "index_name": "my-elasticsearch-index", "name": "Content synced from PostgreSQL", "service_type": "postgresql", "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 an Elastic managed connector, use the Connector workflow. See Elastic managed connectors.
Users must set track_commit_timestamp
to on
.
To do this, run ALTER SYSTEM SET track_commit_timestamp = on;
in PostgreSQL server.
For additional operations, see <←esconnectors-usage>>.
For an end-to-end example of the connector client workflow, see Tutorial.
Compatibility
editPostgreSQL versions 11 to 15 are compatible with the Elastic connector.
Configuration
editSet the following configuration fields:
- Host
-
The server host address where the PostgreSQL instance is hosted. Examples:
-
192.158.1.38
-
demo.instance.demo-region.demo.service.com
-
- Port
-
The port where the PostgreSQL instance is hosted. Examples:
-
5432
(default)
-
- Username
- The username of the PostgreSQL account.
- Password
- The password of the PostgreSQL account.
- Database
-
Name of the PostgreSQL database. Examples:
-
employee_database
-
customer_database
-
- Schema
- The schema of the PostgreSQL database.
- Comma-separated List of Tables
-
A list of tables separated by commas. The PostgreSQL connector will fetch data from all tables present in the configured database, if the value is
*
. Default value is*
. Examples:-
table_1, table_2
-
*
This field can be bypassed when using advanced sync rules.
-
- Enable SSL
- Toggle to enable SSL verification. Disabled by default.
- SSL Certificate
-
Content of SSL certificate. If SSL is disabled, the
ssl_ca
value will be ignored.Expand to see an example certificate
-----BEGIN CERTIFICATE----- MIID+jCCAuKgAwIBAgIGAJJMzlxLMA0GCSqGSIb3DQEBCwUAMHoxCzAJBgNVBAYT AlVTMQwwCgYDVQQKEwNJQk0xFjAUBgNVBAsTDURlZmF1bHROb2RlMDExFjAUBgNV BAsTDURlZmF1bHRDZWxsMDExGTAXBgNVBAsTEFJvb3QgQ2VydGlmaWNhdGUxEjAQ BgNVBAMTCWxvY2FsaG9zdDAeFw0yMTEyMTQyMjA3MTZaFw0yMjEyMTQyMjA3MTZa MF8xCzAJBgNVBAYTAlVTMQwwCgYDVQQKEwNJQk0xFjAUBgNVBAsTDURlZmF1bHRO b2RlMDExFjAUBgNVBAsTDURlZmF1bHRDZWxsMDExEjAQBgNVBAMTCWxvY2FsaG9z dDCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAMv5HCsJZIpI5zCy+jXV z6lmzNc9UcVSEEHn86h6zT6pxuY90TYeAhlZ9hZ+SCKn4OQ4GoDRZhLPTkYDt+wW CV3NTIy9uCGUSJ6xjCKoxClJmgSQdg5m4HzwfY4ofoEZ5iZQ0Zmt62jGRWc0zuxj hegnM+eO2reBJYu6Ypa9RPJdYJsmn1RNnC74IDY8Y95qn+WZj//UALCpYfX41hko i7TWD9GKQO8SBmAxhjCDifOxVBokoxYrNdzESl0LXvnzEadeZTd9BfUtTaBHhx6t njqqCPrbTY+3jAbZFd4RiERPnhLVKMytw5ot506BhPrUtpr2lusbN5svNXjuLeea MMUCAwEAAaOBoDCBnTATBgNVHSMEDDAKgAhOatpLwvJFqjAdBgNVHSUEFjAUBggr BgEFBQcDAQYIKwYBBQUHAwIwVAYDVR0RBE0wS4E+UHJvZmlsZVVVSUQ6QXBwU3J2 MDEtQkFTRS05MDkzMzJjMC1iNmFiLTQ2OTMtYWI5NC01Mjc1ZDI1MmFmNDiCCWxv Y2FsaG9zdDARBgNVHQ4ECgQITzqhA5sO8O4wDQYJKoZIhvcNAQELBQADggEBAKR0 gY/BM69S6BDyWp5dxcpmZ9FS783FBbdUXjVtTkQno+oYURDrhCdsfTLYtqUlP4J4 CHoskP+MwJjRIoKhPVQMv14Q4VC2J9coYXnePhFjE+6MaZbTjq9WaekGrpKkMaQA iQt5b67jo7y63CZKIo9yBvs7sxODQzDn3wZwyux2vPegXSaTHR/rop/s/mPk3YTS hQprs/IVtPoWU4/TsDN3gIlrAYGbcs29CAt5q9MfzkMmKsuDkTZD0ry42VjxjAmk xw23l/k8RoD1wRWaDVbgpjwSzt+kl+vJE/ip2w3h69eEZ9wbo6scRO5lCO2JM4Pr 7RhLQyWn2u00L7/9Omw= -----END CERTIFICATE-----
Documents and syncs
edit- Tables must be owned by a PostgreSQL user.
- Tables with no primary key defined are skipped.
-
To fetch the last updated time in PostgreSQL,
track_commit_timestamp
must be set toon
. Otherwise, all data will be indexed in every sync.
- 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
editA full sync is required for advanced sync rules to take effect.
Advanced sync rules are defined through a source-specific DSL JSON snippet.
Example data
editHere is some example data that will be used in the following examples.
emp_id | name | age |
---|---|---|
3 |
John |
28 |
10 |
Jane |
35 |
14 |
Alex |
22 |
c_id | name | age |
---|---|---|
2 |
Elm |
24 |
6 |
Pine |
30 |
9 |
Oak |
34 |
Advanced sync rules examples
edit[ { "tables": [ "employee" ], "query": "SELECT * FROM employee" }, { "tables": [ "customer" ], "query": "SELECT * FROM customer" } ]
Multiple table queries with id_columns
In 8.15.0, we added a new optional id_columns
field in our advanced sync rules for the PostgreSQL connector.
Use the id_columns
field to ingest tables which do not have a primary key. Include the names of unique fields so that the connector can use them to generate unique IDs for documents.
[ { "tables": [ "employee" ], "query": "SELECT * FROM employee", "id_columns": ["emp_id"] }, { "tables": [ "customer" ], "query": "SELECT * FROM customer", "id_columns": ["c_id"] } ]
This example uses the id_columns
field to specify the unique fields emp_id
and c_id
for the employee
and customer
tables, respectively.
Filtering data with WHERE
clause
[ { "tables": ["employee"], "query": "SELECT * FROM employee WHERE emp_id > 5" } ]
[ { "tables": ["employee", "customer"], "query": "SELECT * FROM employee INNER JOIN customer ON employee.emp_id = customer.c_id" } ]
When using advanced rules, a query can bypass the configuration field tables
.
This will happen if the query specifies a table that doesn’t appear in the configuration.
This can also happen if the configuration specifies *
to fetch all tables while the advanced sync rule requests for only a subset of tables.
Known issues
editThere are no known issues for this connector. Refer to Known issues for a list of known issues for all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
Self-managed connector
editView self-managed connector reference
Availability and prerequisites
editThis connector is available as a self-managed self-managed connector. To use this connector, satisfy all self-managed connector requirements.
Create a PostgreSQL connector
editUse the UI
editTo create a new PostgreSQL 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 PostgreSQL self-managed connector.
Use the API
editYou can use the Elasticsearch Create connector API to create a new self-managed PostgreSQL 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-postgresql-connector { "index_name": "my-elasticsearch-index", "name": "Content synced from PostgreSQL", "service_type": "postgresql" }
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.
Users must set track_commit_timestamp
to on
.
To do this, run ALTER SYSTEM SET track_commit_timestamp = on;
in PostgreSQL server.
For additional operations, see.
For an end-to-end example of the self-managed connector workflow, see Tutorial.
Compatibility
editPostgreSQL versions 11 to 15 are compatible with Elastic connector frameworks.
Configuration
editWhen using the self-managed connector workflow, initially these fields will use the default configuration set in the connector source code.
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.
Set the following configuration fields:
-
host
-
The server host address where the PostgreSQL instance is hosted. Examples:
-
192.158.1.38
-
demo.instance.demo-region.demo.service.com
-
-
port
-
The port where the PostgreSQL instance is hosted. Examples:
-
5432
-
9090
-
-
username
- The username of the PostgreSQL account.
-
password
- The password of the PostgreSQL account.
-
database
-
Name of the PostgreSQL database. Examples:
-
employee_database
-
customer_database
-
-
schema
- The schema of the PostgreSQL database.
-
tables
-
A list of tables separated by commas. The PostgreSQL connector will fetch data from all tables present in the configured database, if the value is
*
. Default value is*
. Examples:-
table_1, table_2
-
*
This field can be bypassed when using advanced sync rules.
-
-
ssl_enabled
-
Whether SSL verification will be enabled.
Default value is
True
. -
ssl_ca
-
Content of SSL certificate (if SSL is enabled). If SSL is disabled, the
ssl_ca
value will be ignored.Expand to see an example certificate
-----BEGIN CERTIFICATE----- MIID+jCCAuKgAwIBAgIGAJJMzlxLMA0GCSqGSIb3DQEBCwUAMHoxCzAJBgNVBAYT AlVTMQwwCgYDVQQKEwNJQk0xFjAUBgNVBAsTDURlZmF1bHROb2RlMDExFjAUBgNV BAsTDURlZmF1bHRDZWxsMDExGTAXBgNVBAsTEFJvb3QgQ2VydGlmaWNhdGUxEjAQ BgNVBAMTCWxvY2FsaG9zdDAeFw0yMTEyMTQyMjA3MTZaFw0yMjEyMTQyMjA3MTZa MF8xCzAJBgNVBAYTAlVTMQwwCgYDVQQKEwNJQk0xFjAUBgNVBAsTDURlZmF1bHRO b2RlMDExFjAUBgNVBAsTDURlZmF1bHRDZWxsMDExEjAQBgNVBAMTCWxvY2FsaG9z dDCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAMv5HCsJZIpI5zCy+jXV z6lmzNc9UcVSEEHn86h6zT6pxuY90TYeAhlZ9hZ+SCKn4OQ4GoDRZhLPTkYDt+wW CV3NTIy9uCGUSJ6xjCKoxClJmgSQdg5m4HzwfY4ofoEZ5iZQ0Zmt62jGRWc0zuxj hegnM+eO2reBJYu6Ypa9RPJdYJsmn1RNnC74IDY8Y95qn+WZj//UALCpYfX41hko i7TWD9GKQO8SBmAxhjCDifOxVBokoxYrNdzESl0LXvnzEadeZTd9BfUtTaBHhx6t njqqCPrbTY+3jAbZFd4RiERPnhLVKMytw5ot506BhPrUtpr2lusbN5svNXjuLeea MMUCAwEAAaOBoDCBnTATBgNVHSMEDDAKgAhOatpLwvJFqjAdBgNVHSUEFjAUBggr BgEFBQcDAQYIKwYBBQUHAwIwVAYDVR0RBE0wS4E+UHJvZmlsZVVVSUQ6QXBwU3J2 MDEtQkFTRS05MDkzMzJjMC1iNmFiLTQ2OTMtYWI5NC01Mjc1ZDI1MmFmNDiCCWxv Y2FsaG9zdDARBgNVHQ4ECgQITzqhA5sO8O4wDQYJKoZIhvcNAQELBQADggEBAKR0 gY/BM69S6BDyWp5dxcpmZ9FS783FBbdUXjVtTkQno+oYURDrhCdsfTLYtqUlP4J4 CHoskP+MwJjRIoKhPVQMv14Q4VC2J9coYXnePhFjE+6MaZbTjq9WaekGrpKkMaQA iQt5b67jo7y63CZKIo9yBvs7sxODQzDn3wZwyux2vPegXSaTHR/rop/s/mPk3YTS hQprs/IVtPoWU4/TsDN3gIlrAYGbcs29CAt5q9MfzkMmKsuDkTZD0ry42VjxjAmk xw23l/k8RoD1wRWaDVbgpjwSzt+kl+vJE/ip2w3h69eEZ9wbo6scRO5lCO2JM4Pr 7RhLQyWn2u00L7/9Omw= -----END CERTIFICATE-----
Deployment using Docker
editYou can deploy the PostgreSQL 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: postgresql 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 must be owned by a PostgreSQL user.
- Tables with no primary key defined are skipped.
-
To fetch the last updated time in PostgreSQL,
track_commit_timestamp
must be set toon
. Otherwise, all data will be indexed in every sync.
- 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
editAdvanced sync rules
editA //connectors-sync-types-full, full sync is required for advanced sync rules to take effect.
Advanced sync rules are defined through a source-specific DSL JSON snippet.
Example data
editHere is some example data that will be used in the following examples.
emp_id | name | age |
---|---|---|
3 |
John |
28 |
10 |
Jane |
35 |
14 |
Alex |
22 |
c_id | name | age |
---|---|---|
2 |
Elm |
24 |
6 |
Pine |
30 |
9 |
Oak |
34 |
Advanced sync rules examples
edit[ { "tables": [ "employee" ], "query": "SELECT * FROM employee" }, { "tables": [ "customer" ], "query": "SELECT * FROM customer" } ]
Multiple table queries with id_columns
In 8.15.0, we added a new optional id_columns
field in our advanced sync rules for the PostgreSQL connector.
Use the id_columns
field to ingest tables which do not have a primary key. Include the names of unique fields so that the connector can use them to generate unique IDs for documents.
[ { "tables": [ "employee" ], "query": "SELECT * FROM employee", "id_columns": ["emp_id"] }, { "tables": [ "customer" ], "query": "SELECT * FROM customer", "id_columns": ["c_id"] } ]
This example uses the id_columns
field to specify the unique fields emp_id
and c_id
for the employee
and customer
tables, respectively.
Filtering data with WHERE
clause
[ { "tables": ["employee"], "query": "SELECT * FROM employee WHERE emp_id > 5" } ]
[ { "tables": ["employee", "customer"], "query": "SELECT * FROM employee INNER JOIN customer ON employee.emp_id = customer.c_id" } ]
When using advanced rules, a query can bypass the configuration field tables
.
This will happen if the query specifies a table that doesn’t appear in the configuration.
This can also happen if the configuration specifies *
to fetch all tables while the advanced sync rule requests for only a subset of tables.
End-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 perform E2E testing for the PostgreSQL connector, run the following command:
$ make ftest NAME=postgresql
For faster tests, add the DATA_SIZE=small
flag:
make ftest NAME=postgresql DATA_SIZE=small
Known issues
editThere are no known issues for this connector. Refer to Known issues for a list of known issues for all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
On this page
- Elastic managed connector (Elastic Cloud)
- Availability and prerequisites
- Create a PostgreSQL connector
- Use the UI
- Use the API
- Usage
- Compatibility
- Configuration
- Documents and syncs
- Sync rules
- Advanced sync rules
- Known issues
- Troubleshooting
- Security
- Self-managed connector
- Availability and prerequisites
- Create a PostgreSQL connector
- Use the UI
- Use the API
- Usage
- Compatibility
- Configuration
- Deployment using Docker
- Documents and syncs
- Sync rules
- Advanced sync rules
- End-to-end testing
- Known issues
- Troubleshooting
- Security