Doris compose
Use doris compose to create doris docker compose clusters.
Requirements
- The doris image should contains:
/opt/apache-doris/{fe, be, cloud}
if don't create cloud cluster, the image no need to contains the cloud pkg.
if build doris use sh build.sh --fe --be --cloud, then its output satisfy with all above, then run command in doris root
docker build -f docker/runtime/doris-compose/Dockerfile -t <image> .
will generate a image.
- Install the dependent python library in 'docker/runtime/doris-compose/requirements.txt'
python -m pip install --user -r docker/runtime/doris-compose/requirements.txt
Usage
Create a cluster or recreate its containers
python docker/runtime/doris-compose/doris-compose.py up <cluster-name> <image?>
--add-fe-num <add-fe-num> --add-be-num <add-be-num>
--fe-id <fd-id> --be-id <be-id>
...
[ --cloud ]
if it's a new cluster, must specific the image.
add fe/be nodes with the specific image, or update existing nodes with --fe-id, --be-id
For create a cloud cluster, steps are as below:
- Write cloud s3 store config file, its default path is '/tmp/doris/cloud.ini'. It's defined in environment variable DORIS_CLOUD_CFG_FILE, user can change this env var to change its path. A Example file is locate in 'docker/runtime/doris-compose/resource/cloud.ini.example'.
- Use doris compose up command with option '--cloud' to create a new cloud cluster.
The simplest way to create a cloud cluster:
python docker/runtime/doris-compose/doris-compose.py up <cluster-name> <image> --cloud
It will create 1 fdb, 1 meta service server, 1 recycler, 3 fe and 3 be.
Remove node from the cluster
python docker/runtime/doris-compose/doris-compose.py down <cluster-name> --fe-id <fe-id> --be-id<be-id> [--clean] [--drop-force]
Down the containers and remove it from the DB.
For BE, if specific drop force, it will send dropp sql to FE, otherwise it will send decommission sql to FE.
If specific --clean, it will delete its data too.
Start, stop, restart specific nodes
python docker/runtime/doris-compose/doris-compose.py start <cluster-name> --fe-id <multiple fe ids> --be-id <multiple be ids>
python docker/runtime/doris-compose/doris-compose.py restart <cluster-name> --fe-id <multiple fe ids> --be-id <multiple be ids>
List doris cluster
python docker/runtime/doris-compose/doris-compose.py ls <multiple cluster names>
if specific cluster names, it will list all the cluster's nodes.
Otherwise it will just list summary of each clusters.
There are more options about doris-compose. Just try
python docker/runtime/doris-compose/doris-compose.py <command> -h
Generate regression custom conf file
python docker/runtime/doris-compose/doris-compose.py config <cluster-name> <doris-root-path> [-q] [--connect-follow-fe]
Generate regression-conf-custom.groovy to connect to the specific docker cluster.
Setup cloud multi clusters test env
steps:
- Create a new cluster:
python doris-compose.py up my-cluster my-image --add-fe-num 2 --add-be-num 4 --cloud - Generate regression-conf-custom.groovy:
python doris-compose.py config my-cluster <doris-root-path> --connect-follow-fe - Run regression test:
bash run-regression-test.sh --run -times 1 -parallel 1 -suiteParallel 1 -d cloud/multi_cluster