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Add docker playground to practice tutorials #258
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FROM bitnami/spark:3.2.4 | ||
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USER root | ||
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# Install vim and cd to onetable | ||
RUN apt-get update \ | ||
&& apt-get install -y vim \ | ||
&& rm -rf /var/lib/apt/lists/* \ | ||
&& mkdir -p /home/onetable \ | ||
&& chmod -R 777 /home/onetable | ||
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WORKDIR /home/onetable |
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#!/bin/bash | ||
# Create the require jars for the demo and copy them into a directory we'll mount in our notebook container | ||
cd .. && mvn install -am -pl core -DskipTests -T 2 | ||
# Create the require jars for the demo and copy them into a directory we'll mount in our notebook & spark container | ||
cd .. && mvn install -DskipTests -T 2 | ||
mkdir -p demo/jars | ||
cp hudi-support/utils/target/hudi-utils-0.1.0-SNAPSHOT.jar demo/jars | ||
cp api/target/onetable-api-0.1.0-SNAPSHOT.jar demo/jars | ||
cp core/target/onetable-core-0.1.0-SNAPSHOT.jar demo/jars | ||
cp utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar demo/jars | ||
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cd demo | ||
docker-compose up |
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--- | ||
sidebar_position: 2 | ||
title: "Docker Playground" | ||
--- | ||
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# OneTable Playground | ||
This playground helps you install and work with OneTable in a dockerized environment. | ||
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## Pre-requisites | ||
* Install Docker in your local machine | ||
* Clone [OneTable GitHub repository](https://github.com/onetable-io/onetable) | ||
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:::note NOTE: | ||
This demo was tested in AArch64 based macOS operating system | ||
::: | ||
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## Setting up the playground | ||
After cloning the OneTable repository, change directory to `demo` and run the `start_demo.sh` script. | ||
This script builds OneTable jars required for the demo and then spins up docker containers to start a Spark cluster, | ||
Jupyter notebook with Scala interpreter, Hive Metastore, Presto and Trino. | ||
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```shell md title="shell" | ||
cd demo | ||
./start_demo.sh | ||
``` | ||
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### Accessing the Spark cluster | ||
You can access the Spark master by running `docker exec -it demo-spark-master-1 /bin/bash` in a separate terminal window. | ||
This will open the master node in a bash shell and will initially take you to `/home/onetable` directory. | ||
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### Running the tutorial | ||
Once inside the master node, you can follow the [Creating your first interoperable table](/docs/how-to#steps) tutorial. | ||
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To run sync, from the same directory, you can create the my_config.yaml file using `vi my_config.yaml` command and copy-paste | ||
the contents from the [run sync](/docs/how-to#running-sync) section and then | ||
run the `java -jar utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar --datasetConfig my_config.yaml` command. |
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We can run spark from the notebook currently, should we just do that?
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Leaving this PR open until I could confirm quickstart examples on the demo jupyter notebook works seamlessly.