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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2018/10/08 07:46:00 UTC
[jira] [Assigned] (SPARK-25677) Configuring zstd compression in
JDBC throwing IllegalArgumentException Exception
[ https://issues.apache.org/jira/browse/SPARK-25677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-25677:
------------------------------------
Assignee: shivusondur
> Configuring zstd compression in JDBC throwing IllegalArgumentException Exception
> --------------------------------------------------------------------------------
>
> Key: SPARK-25677
> URL: https://issues.apache.org/jira/browse/SPARK-25677
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.3.1
> Reporter: ABHISHEK KUMAR GUPTA
> Assignee: shivusondur
> Priority: Major
>
> To check the Event Log compression size with different compression technique mentioned in Spark Doc
> Set below parameter in spark-default.conf of JDBC and JobHistory
> 1. spark.eventLog.compress=true
> 2. Enable spark.io.compression.codec = org.apache.spark.io.ZstdCompressionCodec
> 3. Restart the JDBC and Job History Services
> 4. Check the JDBC and Job History Logs
> Exception throws
> ava.lang.IllegalArgumentException: No short name for codec org.apache.spark.io.ZstdCompressionCodec.
> at org.apache.spark.io.CompressionCodec$$anonfun$getShortName$2.apply(CompressionCodec.scala:94)
> at org.apache.spark.io.CompressionCodec$$anonfun$getShortName$2.apply(CompressionCodec.scala:94)
> at scala.Option.getOrElse(Option.scala:121)
> at org.apache.spark.io.CompressionCodec$.getShortName(CompressionCodec.scala:94)
> at org.apache.spark.SparkContext$$anonfun$9.apply(SparkContext.scala:414)
> at org.apache.spark.SparkContext$$anonfun$9.apply(SparkContext.scala:414)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:414)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2507)
> at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:939)
> at
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