Code Monkey home page Code Monkey logo

docker-elassandra's Introduction

Elassandra docker image

Build Status

This Elassandra image is available on docker hub

Elassandra is a fork of Elasticsearch modified to run on top of Apache Cassandra in a scalable and resilient peer-to-peer architecture. Elasticsearch code is embedded in Cassanda nodes providing advanced search features on Cassandra tables and Cassandra serve as an Elasticsearch data and configuration store.

Check-out the elassandra documentation for detailed instructions.

Commercial support is available from Strapdata.

Basic usage

docker pull strapdata/elassandra

Start a single-node cluster

docker run --name my-elassandra strapdata/elassandra

Connect with cqlsh

docker exec -it my-elassandra cqlsh

or :

docker run -it --link my-elassandra --rm strapdata/elassandra cqlsh my-elassandra

Connect to Elasticsearch API with curl

docker exec -it my-elassandra curl localhost:9200

or :

docker run -it --link my-elassandra --rm strapdata/elassandra curl my-elassandra:9200

Connect to Cassandra nodetool

docker exec -it my-elassandra nodetool status

Exposed ports

  • 7000: Intra-node communication
  • 7001: TLS intra-node communication
  • 7199: JMX
  • 9042: CQL
  • 9142: encrypted CQL
  • 9160: thrift service
  • 9200: ElasticSearch HTTP
  • 9300: ElasticSearch transport

Volumes

  • /var/lib/cassandra

Advanced Usage

This image is a fork of the Cassandra "Official Image" modified to run Elassandra.

We added some more features to the images, described below.

Logging

Elassandra logging is configured with the file logback.xml. It is parametrized with environment variables and thus allows to manage debug levels from your docker env section.

LOGBACK_org_apache_cassandra
LOGBACK_org_apache_cassandra_service_CassandraDaemon
LOGBACK_org_elassandra_shard
LOGBACK_org_elassandra_indices
LOGBACK_org_elassandra_index
LOGBACK_org_elassandra_discovery
LOGBACK_org_elassandra_cluster_service
LOGBACK_org_elasticsearch

Kubernetes

A ready_probe.sh script can be used for readiness probe as follow:

  readinessProbe:
      exec:
        command: [ "/bin/bash", "-c", "/ready-probe.sh" ]
      initialDelaySeconds: 15
      timeoutSeconds: 5

Configuration

All the environment variables that work for configuring the official Cassandra image continue to work here (e.g CASSANDRA_RPC_ADDRESS, CASSANDRA_LISTEN_ADDRESS...).

But for convenience, we provide an extended mechanism for configuring almost everything in cassandra.yaml and elasticsearch.yml, directly from the docker env section.

For instance, to configure cassandra num_tokens and elasticsearch http.port we do like this :

docker run \
  -e CASSANDRA__num_tokens=16 \
  -e ELASTICSEARCH__http__port=9201 \
  strapdata/elassandra

Notice that __ are replaced by . in the generated yaml files.

It does not work to configure yaml arrays, such as cassandra seeds...

Run cassandra only

To disable Elasticsearch, set the CASSANDRA_DAEMON to org.apache.cassandra.service.CassandraDaemon, default is org.apache.cassandra.service.ElassandraDaemon.

docker run \
  -e CASSANDRA_DAEMON=org.apache.cassandra.service.CassandraDaemon \
  strapdata/elassandra

Init script

Every .sh files found in /docker-entrypoint-init.sh will be sourced before to start elassandra.

docker run -v $(pwd)/script.sh:/docker-entrypoint-init.d/script.sh strapdata/elassandra

Use the build tool

Lot of parameters available, see the source build.sh.

from a local elassandra repository

REPO_DIR=../path/to/elassandra-repo ./build.sh

Where repo REPO_DIR point to an elassandra repository with debian package assembled.

from local deb package

PACKAGE_LOCATION=../path/to/elassandra-x.x.x.x.deb ./build.sh

from an url

PACKAGE_LOCATION=https://some-host.com/path/to/elassandra-x.x.x.x.deb ./build.sh

from the github release page

RELEASE_NAME=6.2.3.6 ./build.sh

The github repository is the same as the docker hub repository REPO_NAME, but may differs by setting GITHUB_REPO_NAME.

set the commit sha1

Use the env var ELASSANDRA_COMMIT. It is inserted in the image as an env var, and it's used as a tag.

set the registry

Use the env var DOCKER_REGISTRY, for instance DOCKER_REGISTRY=gcr.io

change the base image

By default the image is the official debian stretch, but this is parametrized with the env var BASE_IMAGE.

For instance we make also use of : launcher.gcr.io/google/debian9:latest.

publish to registry

Set DOCKER_PUBLISH=true to publish the image (be sure to properly authenticate with the registry).

Add DOCKER_RUN_TESTS=true to run the tests before to publish.

image tagging

Add DOCKER_LATEST=true to tag the image with the tag latest.

Add DOCKER_MAJOR_LATEST=true to tag the image with generic version number (e.g 6, 6.2, 6.2.3 rather than just 6.2.3.4).

troubleshooting

If you got errors such as:

gpg: keyserver receive failed: Cannot assign requested address

You can solve it by enabling this gpg server multiplexer running on docker :

wget -qO- 'https://github.com/tianon/pgp-happy-eyeballs/raw/master/hack-my-builds.sh' | bash

Run the tests

run all:

./run.sh strapdata/elassandra:tag

or with debug output:

DEBUG=true ./run.sh strapdata/elassandra:tag

only run elassandra-basics tests:

./run.sh -t elassandra-basics strapdata/elassandra:tag

only run elassandra-config tests:

./run.sh -t elassandra-config strapdata/elassandra:tag

docker-elassandra's People

Contributors

alexanderjardim avatar atoulme avatar dbarthe avatar docker-library-bot avatar j0wi avatar ltagliamonte avatar sage-service-user avatar tianon avatar wgerlach avatar yosifkit avatar

Watchers

 avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.