• Stars
    star
    176
  • Rank 216,987 (Top 5 %)
  • Language
    Java
  • License
    Apache License 2.0
  • Created over 12 years ago
  • Updated about 1 year ago

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Repository Details

The Official Couchbase Elasticsearch Connector

Couchbase Elasticsearch Connector

The Couchbase Elasticsearch Connector replicates your documents from Couchbase Server to Elasticsearch in near real time. The connector uses the high-performance Database Change Protocol (DCP) to receive notifications when documents change in Couchbase.

Note
If you’re looking for the Elasticsearch Plug-in flavor of the connector, that’s in a different branch.

This product is neither affiliated with nor endorsed by Elastic. Elasticsearch is a trademark of Elasticsearch BV, registered in the U.S. and in other countries.

Building the connector from source

The connector distribution may be built from source with the command:

./gradlew build

The distribution archive will be generated under build/distributions. During development, it might be more convenient to run:

./gradlew installDist

which creates build/install/couchbase-elasticsearch-connector as a $CBES_HOME directory.

Running the integration tests

A local Docker installation is required for these tests. To quickly test using only the latest Couchbase and Elasticsearch:

./gradlew integrationTest

To test against all supported versions of Couchbase and Elasticsearch:

./gradlew exhaustiveTest

IntelliJ IDEA setup

Because the project uses annotation processors, some fiddly setup is required when importing the project into IntelliJ IDEA.

Building a Docker image

Use Dockerfile to build a Docker image from source using Gradle. The version should be set in build.gradle before running.

docker build -t imagename:tag .

Use Dockerfile.download to build a Docker image from released binaries hosted at packages.couchbase.com.

docker build -f Dockerfile.download -t imagename:tag --build-arg VERSION=<version>

where <version> is the latest tag from the connector’s GitHub repo.

Running a Docker image

The built docker image can be configured using volume mounts. The /opt/couchbase-elasticsearch-connector/config directory should contain the configuration files, and the /opt/couchbase-elasticsearch-connector/secrets directory should contain the secrets.

Find example configuration files in the src/dist directory. Be sure to rename example-connector.toml to default-connector.toml.

docker run -p 31415:31415 -v ./config:/opt/couchbase-elasticsearch-connector/config -v ./secrets:/opt/couchbase-elasticsearch-connector/secrets -e CBES_GROUPNAME=groupname image:tag

It is also valid to pass environment variables in via the Docker command line, which can then be used to substitute values in default-connector.toml. Port 31415 can be accessed via HTTP to get metrics.

Running in Kubernetes

The connector can run in Kubernetes. See the examples in the examples/kubernetes directory, and the documentation for more details.

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