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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/27 04:43:52 UTC
[jira] [Commented] (SPARK-16221) Redirect Parquet JUL logger via
SLF4J for WRITE operations
[ https://issues.apache.org/jira/browse/SPARK-16221?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15350405#comment-15350405 ]
Apache Spark commented on SPARK-16221:
--------------------------------------
User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/13918
> Redirect Parquet JUL logger via SLF4J for WRITE operations
> ----------------------------------------------------------
>
> Key: SPARK-16221
> URL: https://issues.apache.org/jira/browse/SPARK-16221
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Dongjoon Hyun
> Priority: Minor
>
> SPARK-8118 implements redirecting Parquet JUL logger via SLF4J, but it is currently applied only when READ operations occurs. If users use only WRITE operations, there occurs many Parquet logs.
> This issue makes the redirection work on WRITE operations, too.
> **Before**
> {code}
> scala> spark.range(10).write.format("parquet").mode("overwrite").save("/tmp/p")
> SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
> SLF4J: Defaulting to no-operation (NOP) logger implementation
> SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
> Jun 26, 2016 9:04:38 PM INFO: org.apache.parquet.hadoop.codec.CodecConfig: Compression: SNAPPY
> ... about 70 lines Parquet Log ...
> scala> spark.range(10).write.format("parquet").mode("overwrite").save("/tmp/p")
> ... about 70 lines Parquet Log ...
> {code}
> **After**
> {code}
> scala> spark.range(10).write.format("parquet").mode("overwrite").save("/tmp/p")
> [Stage 0:> (0 + 8) / 8]
> SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
> SLF4J: Defaulting to no-operation (NOP) logger implementation
> SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
> scala> spark.range(10).write.format("parquet").mode("overwrite").save("/tmp/p")
> {code}
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