forked from D-Net/dnet-hadoop
suppressing hyper verbose spark logs during unit test execution
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9b449110c6
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bca4a61710
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# Root logger option
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log4j.rootLogger=DEBUG, stdout
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# Direct log messages to stdout
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log4j.appender.stdout=org.apache.log4j.ConsoleAppender
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log4j.appender.stdout.Target=System.out
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log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
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log4j.appender.stdout.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n
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# Change this to set Spark log level
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log4j.logger.org.apache.spark=ERROR
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log4j.rootCategory=WARN
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# Silence akka remoting
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log4j.logger.Remoting=WARN
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# Ignore messages below warning level from Jetty, because it's a bit verbose
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log4j.logger.org.eclipse.jetty=WARN
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log4j.logger.org.apache.hadoop.mapreduce.lib.output.FileOutputCommitterFactory=WARN
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log4j.logger.org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter=WARN
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log4j.logger.org.apache.parquet.hadoop.ParquetOutputFormat=WARN
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log4j.logger.org.apache.parquet.hadoop.InternalParquetRecordWriter=WARN
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log4j.logger.org.apache.hadoop.io.compress.CodecPool=WARN
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log4j.logger.org.apache.parquet.hadoop.codec.CodecConfig=WARN
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