Elastic PostgreSQL connector reference | Enterprise Search documentation [8.11]

IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Elastic PostgreSQL connector referenceedit

The 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 8.11, compatible with Elastic 8.11). View the specific source code for this connector (branch 8.11, compatible with Elastic 8.11).

Native connector (Elastic Cloud)edit

View native connector reference

Availability and prerequisitesedit

This connector is available as a native connector in Elastic versions 8.8.0 and later. To use this connector natively in Elastic Cloud, satisfy all native connector requirements.

This connector is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.

Usageedit

To use this connector as a native connector, use the Connector workflow. See Native 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 Using connectors.

For an end-to-end example of the connector client workflow, see Tutorial.

Compatibilityedit

PostgreSQL versions 11 to 15 are compatible with the Elastic connector.

Configurationedit

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 (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

Documents and syncsedit

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 to on. 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 rulesedit

Basic sync rules are identical for all connectors and are available by default.

Advanced sync rulesedit

A full sync is required for advanced sync rules to take effect.

Advanced sync rules are defined through a source-specific DSL JSON snippet.

Example dataedit

Here is some example data that will be used in the following examples.

employee tableedit

emp_id	name	age
3	John	28
10	Jane	35
14	Alex	22

customer tableedit

c_id	name	age
2	Elm	24
6	Pine	30
9	Oak	34

Advanced sync rules examplesedit

Multiple table queriesedit

[
  {
    "tables": [
      "employee"
    ],
    "query": "SELECT * FROM employee"
  },
  {
    "tables": [
      "customer"
    ],
    "query": "SELECT * FROM customer"
  }
]

Filtering data with WHERE clauseedit

[
  {
    "tables": ["employee"],
    "query": "SELECT * FROM employee WHERE emp_id > 5"
  }
]

JOIN operationsedit

[
  {
    "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.

Content extractionedit

See Content extraction.

Known issuesedit

There are no known issues for this connector. Refer to Known issues for a list of known issues for all connectors.

Troubleshootingedit

See Troubleshooting.

Securityedit

See Security.

Connector client (self-managed)edit

View connector client reference

Availability and prerequisitesedit

This connector is available as a self-managed connector client. To use this connector, satisfy all connector client requirements.

Usageedit

Self-manage this connector

Because this client is available as a native connector, you’ll first need to convert to a connector client in the Kibana UI. This action is irreversible. Use the Convert connector button on the right-hand side of the configuration page.

To use this connector as a connector client, see Connector clients.

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 Using connectors.

For an end-to-end example of the connector client workflow, see Tutorial.

Compatibilityedit

PostgreSQL versions 11 to 15 are compatible with Elastic connector frameworks.

Configurationedit

When using the connector client 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

Deployment using Dockeredit

You can deploy the PostgreSQL connector as a self-managed connector client 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>

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:8.11.4.0 \
/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.

Documents and syncsedit

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 to on. 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 rulesedit

Basic sync rules are identical for all connectors and are available by default.

Advanced sync rulesedit

A full sync is required for advanced sync rules to take effect.

Advanced sync rules are defined through a source-specific DSL JSON snippet.

Example dataedit

Here is some example data that will be used in the following examples.

employee tableedit

emp_id	name	age
3	John	28
10	Jane	35
14	Alex	22

customer tableedit

c_id	name	age
2	Elm	24
6	Pine	30
9	Oak	34

Advanced sync rules examplesedit

Multiple table queriesedit

[
  {
    "tables": [
      "employee"
    ],
    "query": "SELECT * FROM employee"
  },
  {
    "tables": [
      "customer"
    ],
    "query": "SELECT * FROM customer"
  }
]

Filtering data with WHERE clauseedit

[
  {
    "tables": ["employee"],
    "query": "SELECT * FROM employee WHERE emp_id > 5"
  }
]

JOIN operationsedit

[
  {
    "tables": ["employee", "customer"],
    "query": "SELECT * FROM employee INNER JOIN customer ON employee.emp_id = customer.c_id"
  }
]

Content extractionedit

See Content extraction.

End-to-end testingedit

The 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 issuesedit

There are no known issues for this connector. Refer to Known issues for a list of known issues for all connectors.

Troubleshootingedit

See Troubleshooting.

Securityedit

See Security.

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