[ https://issues.apache.org/jira/browse/SPARK-34128?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kent Yao updated SPARK-34128: ----------------------------- Description: Since Spark 3.0, the `libthrift` has been bumped up from 0.9.3 to 0.12.0. Due to THRIFT-4805, The SparkThrift Server will print annoying TExceptions. For example, the current thrift server module test in Github action workflow outputs more than 200MB of data for this error only, while the total size of the test log only about 1GB. I checked the latest `hive-service-rpc` module in the maven center, [https://mvnrepository.com/artifact/org.apache.hive/hive-service-rpc/3.1.2.] It still use the 0.9.3 version. Due to https://issues.apache.org/jira/browse/THRIFT-5274 was: Since Spark 3.0, the `libthrift` has been bumped up from 0.9.3 to 0.12.0. Due to, The SparkThrift Server will print annoying THRIFT-4805 THRIFT-4805 > Suppress excessive logging of TTransportExceptions in Spark ThriftServer > ------------------------------------------------------------------------- > > Key: SPARK-34128 > URL: https://issues.apache.org/jira/browse/SPARK-34128 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.0.1, 3.1.0 > Reporter: Kent Yao > Priority: Major > > Since Spark 3.0, the `libthrift` has been bumped up from 0.9.3 to 0.12.0. > Due to THRIFT-4805, The SparkThrift Server will print annoying TExceptions. > For example, the current thrift server module test in Github action workflow > outputs more than 200MB of data for this error only, while the total size of > the test log only about 1GB. > > I checked the latest `hive-service-rpc` module in the maven center, > [https://mvnrepository.com/artifact/org.apache.hive/hive-service-rpc/3.1.2.] > It still use the 0.9.3 version. > > Due to https://issues.apache.org/jira/browse/THRIFT-5274 > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org