Build Docker Images
Overview
The scripts to build Pinot related docker images is located at here.
You can access those scripts by running below command to checkout Pinot repo:
You can find current supported 3 images in this directory:
Pinot: Pinot all-in-one distribution image
Pinot-Presto: Presto image with Presto-Pinot Connector built-in.
Pinot-Superset: Superset image with Pinot connector built-in.
Pinot
This is a docker image of Apache Pinot.
How to build a docker image
There is a docker build script which will build a given Git repo/branch and tag the image.
Usage:
This script will check out Pinot Repo [Pinot Git URL]
on branch [Git Branch]
and build the docker image for that.
The docker image is tagged as [Docker Tag]
.
Docker Tag
: Name and tag your docker image. Default is pinot:latest
.
Git Branch
: The Pinot branch to build. Default is master
.
Pinot Git URL
: The Pinot Git Repo to build, users can set it to their own fork. Please note that, the URL is https://
based, not git://
. Default is the Apache Repo: https://github.com/apache/incubator-pinot.git
.
Example of building and tagging a snapshot on your own fork:
Example of building a release version:
Example of building current master branch as a snapshot:
How to publish a docker image
Script docker-push.sh
publishes a given docker image to your docker registry.
In order to push to your own repo, the image needs to be explicitly tagged with the repo name.
Example of publishing an image to apachepinot/pinot dockerHub repo.
You can also tag a built image, then push it.
Script docker-build-and-push.sh
builds and publishes this docker image to your docker registry after build.
Example of building and publishing an image to apachepinot/pinot dockerHub repo.
Kubernetes Examples
Please refer to Kubernetes Quickstart for deployment examples.
Pinot Presto
Docker image for Presto with Pinot integration.
This docker build project is specialized for Pinot.
How to build
Usage:
This script will check out Presto Repo [Presto Git URL]
on branch [Git Branch]
and build the docker image for that.
The docker image is tagged as [Docker Tag]
.
Docker Tag
: Name and tag your docker image. Default is pinot-presto:latest
.
Git Branch
: The Presto branch to build. Default is master
.
Presto Git URL
: The Presto Git Repo to build, users can set it to their own fork. Please note that, the URL is https://
based, not git://
. Default is the Apache Repo: https://github.com/prestodb/presto.git
.
How to push
Configuration
Follow the instructions provided by Presto for writing your own configuration files under etc
directory.
Volumes
The image defines two data volumes: one for mounting configuration into the container, and one for data.
The configuration volume is located alternatively at /home/presto/etc
, which contains all the configuration and plugins.
The data volume is located at /home/presto/data
.
Kubernetes Examples
Please refer to presto-coordinator.yaml
as k8s deployment example.
Pinot Superset
Docker image for Superset with Pinot integration.
This docker build project is based on Project docker-superset and specialized for Pinot.
How to build
Please modify file Makefile
to change image
and superset_version
accordingly.
Below command will build docker image and tag it as superset_version
and latest
.
You can also build directly with docker build
command by setting arguments:
How to push
Configuration
Follow the instructions provided by Apache Superset for writing your own superset_config.py
.
Place this file in a local directory and mount this directory to /etc/superset
inside the container. This location is included in the image's PYTHONPATH
. Mounting this file to a different location is possible, but it will need to be in the PYTHONPATH
.
Volumes
The image defines two data volumes: one for mounting configuration into the container, and one for data (logs, SQLite DBs, &c).
The configuration volume is located alternatively at /etc/superset
or /home/superset
; either is acceptable. Both of these directories are included in the PYTHONPATH
of the image. Mount any configuration (specifically the superset_config.py
file) here to have it read by the app on startup.
The data volume is located at /var/lib/superset
and it is where you would mount your SQLite file (if you are using that as your backend), or a volume to collect any logs that are routed there. This location is used as the value of the SUPERSET_HOME
environmental variable.
Kubernetes Examples
Please refer to superset.yaml
as k8s deployment example.
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