You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Adam Binford (Jira)" <ji...@apache.org> on 2022/08/27 17:46:00 UTC
[jira] [Updated] (SPARK-40246) Logging isn't configurable via log4j2 with hadoop-provided profile
[ https://issues.apache.org/jira/browse/SPARK-40246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Adam Binford updated SPARK-40246:
---------------------------------
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
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org