Skip to content

Latest commit

 

History

History
108 lines (89 loc) · 5.25 KB

README.md

File metadata and controls

108 lines (89 loc) · 5.25 KB
Raw

Quickstart for localhost development

Install docker: https://docs.docker.com/engine/installation/

Following steps will bring up the docker container running cadence server along with all its dependencies (cassandra, statsd, graphite). Exposes cadence frontend on port 7933 and grafana metrics frontend on port 8080.

cd $GOPATH/src/github.com/uber/cadence/docker
docker-compose up

View metrics at localhost:8080/dashboard
View Cadence-Web at localhost:8088
Use Cadence-CLI with docker run --network=host --rm ubercadence/cli:master

For example to register new domain 'test-domain' with 1 retention day docker run --network=host --rm ubercadence/cli:master --do test-domain domain register -rd 1

Using different docker-compose files

By default docker-compose up will run with docker-compose.yaml in this folder. This compose file is running with Cassandra, with basic visibility, using Statsd for emitting metric to Graphite, with Grafana access.

We also provide several other compose files for different features/modes:

  • docker-compose-es.yml enables advanced visibility with ElasticSearch 6.x
  • docker-compose-es-v7.yml enables advanced visibility with ElasticSearch 7.x
  • docker-compose-mysql.yml uses MySQL as persistence storage
  • docker-compose-postgres.yml uses PosstgreSQL as persistence storage
  • docker-compose-prometheus.yaml runs with Prometheus

Also feel free to make your own to combine the above features.

Using a released image

The above compose files all using master image. It's taking the latest bits on the master branch of this repo. You may want to use more stable version from our release process.

With every tagged release of the cadence server, there is also a corresponding docker image that's uploaded to docker hub. In addition, the release will also contain a docker.tar.gz file (docker-compose startup scripts).

Go here to download a latest docker.tar.gz

Execute the following commands to start a pre-built image along with all dependencies (cassandra/statsd).

tar -xzvf docker.tar.gz
cd docker
docker-compose up

DIY: Building an image for any branch and restarting

Replace YOUR_TAG and YOUR_CHECKOUT_BRANCH in the below command to build:

cd $GOPATH/src/github.com/uber/cadence
git checkout YOUR_CHECKOUT_BRANCH
docker build . -t ubercadence/server:YOUR_TAG

Or for auto-setup images:

cd $GOPATH/src/github.com/uber/cadence
git checkout YOUR_CHECKOUT_BRANCH
docker build . -t ubercadence/server:YOUR_TAG-auto-setup --build-arg TARGET=auto-setup

Replace the tag of image: ubercadence/server to YOUR_TAG in docker-compose.yml . Then stop service and remove all containers using the below commands.

docker-compose down
docker-compose up

Note that with TARGET=auto-setup, the images will setup all the DB/ElasticSearch schema during startup. By default, the image will not setup schema if you leave TARGET empty.

Using docker image for production

In a typical production setting, dependencies (cassandra / statsd server) are managed / started independently of the cadence-server. To use the container in a production setting, use the following docker command:

docker run -e CASSANDRA_SEEDS=10.x.x.x                  -- csv of cassandra server ipaddrs
    -e CASSANDRA_USER=<username>                        -- Cassandra username
    -e CASSANDRA_PASSWORD=<password>                    -- Cassandra password
    -e KEYSPACE=<keyspace>                              -- Cassandra keyspace
    -e VISIBILITY_KEYSPACE=<visibility_keyspace>        -- Cassandra visibility keyspace, if using basic visibility 
    -e KAFKA_SEEDS=10.x.x.x                             -- Kafka broker seed, if using ElasticSearch + Kafka for advanced visibility feature
    -e ES_SEEDS=10.x.x.x                                -- ElasticSearch seed , if using ElasticSearch + Kafka for advanced visibility feature
    -e RINGPOP_SEEDS=10.x.x.x,10.x.x.x                  -- csv of ipaddrs for gossip bootstrap
    -e STATSD_ENDPOINT=10.x.x.x:8125                    -- statsd server endpoint
    -e NUM_HISTORY_SHARDS=1024                          -- Number of history shards
    -e SERVICES=history,matching                        -- Spinup only the provided services, separated by commas, options are frontend,history,matching and workers
    -e LOG_LEVEL=debug,info                             -- Logging level
    -e DYNAMIC_CONFIG_FILE_PATH=<dynamic_config_file>   -- Dynamic config file to be watched, default to /etc/cadence/config/dynamicconfig/development.yaml, but you can choose /etc/cadence/config/dynamicconfig/development_es.yaml if using ElasticSearch
    ubercadence/server:<tag>

Note that each env variable has a default value, so you don't have to specify it if the default works for you. For more options to configure the docker, please refer to config_template.yaml.

For <tag>, use auto-setup images only for first initial setup, and use regular ones for production deployment. See the above explanation about auto-setup.

When upgrading, follow the release instrusctions if version upgrades require some configuration or schema changes.