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Use docker compose file to simplify command line invocation #167

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4 changes: 3 additions & 1 deletion utilities/Spark_UI/Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,8 @@ RUN rm /opt/spark/jars/jsr305-3.0.0.jar && \
RUN echo $'\n\
spark.eventLog.enabled true\n\
spark.history.ui.port 18080\n\
spark.hadoop.fs.s3a.impl org.apache.hadoop.fs.s3a.S3AFileSystem\n\
spark.hadoop.fs.s3a.aws.credentials.provider org.apache.hadoop.fs.s3a.TemporaryAWSCredentialsProvider\n\
' > /opt/spark/conf/spark-defaults.conf

RUN echo $'\n\
Expand All @@ -34,4 +36,4 @@ log4j.appender.console.layout.ConversionPattern = %d{yyyy-MM-dd HH:mm:ss} %p %c{

ENV JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk/

ENTRYPOINT ["/bin/bash", "-c"]:
ENTRYPOINT ["/opt/spark/bin/spark-class", "org.apache.spark.deploy.history.HistoryServer"]
3 changes: 1 addition & 2 deletions utilities/Spark_UI/README.md
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Expand Up @@ -47,8 +47,7 @@ If you prefer local access (not to have EC2 instance for Apache Spark history se
$ AWS_ACCESS_KEY_ID="ASIAxxxxxxxxxxxx"
$ AWS_SECRET_ACCESS_KEY="yyyyyyyyyyyyyyy"
$ AWS_SESSION_TOKEN="zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz"
$ docker run -itd -e SPARK_HISTORY_OPTS="$SPARK_HISTORY_OPTS -Dspark.history.fs.logDirectory=$LOG_DIR -Dspark.hadoop.fs.s3a.access.key=$AWS_ACCESS_KEY_ID -Dspark.hadoop.fs.s3a.secret.key=$AWS_SECRET_ACCESS_KEY -Dspark.hadoop.fs.s3a.session.token=$AWS_SESSION_TOKEN -Dspark.hadoop.fs.s3a.aws.credentials.provider=org.apache.hadoop.fs.s3a.TemporaryAWSCredentialsProvider" -p 18080:18080 glue/sparkui:latest "/opt/spark/bin/spark-class org.apache.spark.deploy.history.HistoryServer"
```
$ docker-compose up -d

These configuration parameters come from the [Hadoop-AWS Module](https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html). You may need to add specific configuration based on your use case. For example: users in isolated regions will need to configure the `spark.hadoop.fs.s3a.endpoint`.

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11 changes: 11 additions & 0 deletions utilities/Spark_UI/docker-compose.yml
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@@ -0,0 +1,11 @@
version: '3'
services:
spark-history:
build: .
ports:
- "18080:18080"
environment:
- AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
- AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
- AWS_SESSION_TOKEN=${AWS_SESSION_TOKEN}
- SPARK_HISTORY_OPTS=-Dspark.history.fs.logDirectory=${LOG_DIR} -Dspark.hadoop.fs.s3a.access.key=${AWS_ACCESS_KEY_ID} -Dspark.hadoop.fs.s3a.secret.key=${AWS_SECRET_ACCESS_KEY} -Dspark.hadoop.fs.s3a.session.token=${AWS_SESSION_TOKEN}