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https://issues.apache.org/jira/browse/SPARK-40246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Adam Binford updated SPARK-40246:
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Component/s: Build
(was: Spark Core)
> Logging isn't configurable via log4j2 with hadoop-provided profile
> ------------------------------------------------------------------
>
> Key: SPARK-40246
> URL: https://issues.apache.org/jira/browse/SPARK-40246
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 3.3.0
> Reporter: Adam Binford
> Priority: Major
>
> When building Spark with -Phadoop-provided (or using the 3.3.0 build without
> Hadoop), there is no slf implementation provided for log4j2, so the default
> log4j2 properties are ignored and logging isn't configurable via
> SparkContext.setLogLevel.
> Reproduction on a fresh Ubuntu container:
>
> {noformat}
> apt-get update
> apt-get install -y wget
> wget https://dlcdn.apache.org/hadoop/common/hadoop-3.3.4/hadoop-3.3.4.tar.gz
> wget
> https://dlcdn.apache.org/spark/spark-3.3.0/spark-3.3.0-bin-without-hadoop.tgz
> tar -xvf hadoop-3.3.4.tar.gz -C /opt
> tar -xvf spark-3.3.0-bin-without-hadoop.tgz -C /opt
> export HADOOP_HOME=/opt/hadoop-3.3.4/
> export SPARK_HOME=/opt/spark-3.3.0-bin-without-hadoop/
> apt install -y openjdk-11-jre-headless python3
> export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64/
> export SPARK_DIST_CLASSPATH=$($HADOOP_HOME/bin/hadoop classpath)
> $SPARK_HOME/bin/pyspark
> {noformat}
> The default log level starts at INFO and you can't change it with
> sc.setLogLevel
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