Redis connector reference

The Redis connector is built with the Elastic connectors Python framework and is available as a self-managed self-managed connector. View the source code for this connector (branch 8.16, compatible with Elastic 8.16).

This connector was introduced in Elastic 8.13.0, available as a self-managed self-managed connector.

To use this connector, satisfy all self-managed connector prerequisites. Importantly, you must deploy the connectors service on your own infrastructure. You have two deployment options:

To set up this connector in the UI, select the Redis tile when creating a new connector under Search → Connectors.

For additional operations, see Connectors UI in Kibana.

You can deploy the Redis connector as a self-managed connector using Docker. Follow these instructions.

curl https://raw.githubusercontent.com/elastic/connectors/main/config.yml.example --output ~/connectors-config/config.yml

# 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: redis
    api_key: <CONNECTOR_API_KEY_FROM_KIBANA> # Optional. If not provided, the connector will use the elasticsearch.api_key instead

docker run \
-v ~/connectors-config:/config \
--network "elastic" \
--tty \
--rm \
docker.elastic.co/integrations/elastic-connectors:8.16.2.0 \
/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.

The connector syncs the following objects and entities:

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

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

Use advanced sync rules to filter data at the Redis source, without needing to index all data into Elasticsearch.

They take the following parameters:

Fetch database records where keys start with alpha:

[
  {
    "database": 0,
    "key_pattern": "alpha*"
  }
]

Fetch database records with exact match by specifying the full key name:

[
  {
    "database": 0,
    "key_pattern": "alpha"
  }
]

Fetch database records where keys start with test1, test2 or test3:

[
  {
    "database": 0,
    "key_pattern": "test[123]"
  }

Exclude database records where keys start with test1, test2 or test3:

[
  {
    "database": 0,
    "key_pattern": "test[^123]"
  }
]

Fetch all database records:

[
  {
    "database": 0,
    "key_pattern": "*"
  }
]

Fetch all database records where type is SET:

[
  {
    "database": 0,
    "key_pattern": "*",
    "type": "SET"
  }
]

Fetch database records where type is SET:

[
  {
    "database": 0,
    "type": "SET"
  }
]

The connector framework enables operators to run functional tests against a real data source, using Docker Compose. You don’t need a running Elasticsearch instance or Redis source to run this test.

Refer to Connector testing for more details.

To perform E2E testing for the Redis connector, run the following command:

$ make ftest NAME=redis

For faster tests, add the DATA_SIZE=small flag:

make ftest NAME=redis DATA_SIZE=small

By default, DATA_SIZE=MEDIUM.

Refer to Known issues for a list of known issues for all connectors.

See Troubleshooting.

See Security.