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KaiXinXIaoLei commented on SPARK-8118: -------------------------------------- [~lian cheng] I run queries using spark-sql --master yarn, and queries is : {noformat} create table a(key INT, value String) stored as parquet; insert overwrite table a select * from text_db.a; insert overwrite table a select * from text_db.a; {noformat} I found there is same log writint to stdout. {noformat} vm3:/opt/apache/hadoop/logs/userlogs/application_1464609606092_0001 # cat container_1464609606092_0001_01_000003/stdout May 30, 2016 8:01:17 PM INFO: org.apache.parquet.hadoop.ParquetFileReader: Initiating action with parallelism: 5 May 30, 2016 8:01:19 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: GZIP {noformat} If i run {noformat} insert overwrite table a select * from text_db.a; {noformat} many times, i find the parquet log will be write to stderr. > Turn off noisy log output produced by Parquet 1.7.0 > --------------------------------------------------- > > Key: SPARK-8118 > URL: https://issues.apache.org/jira/browse/SPARK-8118 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 1.4.1, 1.5.0 > Reporter: Cheng Lian > Assignee: Cheng Lian > Priority: Minor > Fix For: 1.5.0 > > > Parquet 1.7.0 renames package name to "org.apache.parquet", need to adjust > {{ParquetRelation.enableLogForwarding}} accordingly to avoid noisy log output. > A better approach than simply muting these log lines is to redirect Parquet > logs via SLF4J, so that we can handle them consistently. In general these > logs are very useful. Esp. when used to diagnosing Parquet memory issue and > filter push-down. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org