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Add print logging behind a flag #758

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May 18, 2024
Merged

Add print logging behind a flag #758

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25 changes: 25 additions & 0 deletions spark/src/main/resources/log4j.properties
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Original file line number Diff line number Diff line change
@@ -0,0 +1,25 @@
#Log4j pattern documentation - https://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/PatternLayout.html
# Set everything to be logged to the console
log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} [%p] [%c{1}:%L] %m%n

# Settings to quiet third party logs that are too verbose
log4j.logger.org.sparkproject.jetty=ERROR
log4j.logger.org.sparkproject.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=WARN
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=WARN
log4j.logger.org.apache.spark.scheduler=ERROR
log4j.logger.org.apache.spark.storage.memory=ERROR
log4j.logger.org.apache.spark.SecurityManager=ERROR
log4j.logger.org.apache.spark.SparkEnv=WARN
log4j.logger.org.apache.spark.storage=ERROR
log4j.logger.org.apache.spark.sql=WARN
log4j.logger.org.apache.spark.executor=ERROR
log4j.logger.org.apache.parquet.filter2=WARN
log4j.logger.org.apache.spark.SparkContext=WARN
log4j.logger.org.apache.parquet.hadoop=WARN
log4j.logger.org.apache.hadoop.mapreduce=ERROR
log4j.logger.ai.chronon.spark=INFO
4 changes: 2 additions & 2 deletions spark/src/main/scala/ai/chronon/spark/SparkSessionBuilder.scala
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Expand Up @@ -91,7 +91,7 @@ object SparkSessionBuilder {
}
val spark = builder.getOrCreate()
// disable log spam
// spark.sparkContext.setLogLevel("ERROR")
spark.sparkContext.setLogLevel("ERROR")

Logger.getLogger("parquet.hadoop").setLevel(java.util.logging.Level.SEVERE)
spark
Expand Down Expand Up @@ -119,7 +119,7 @@ object SparkSessionBuilder {
}
val spark = builder.getOrCreate()
// disable log spam
// spark.sparkContext.setLogLevel("ERROR")
spark.sparkContext.setLogLevel("ERROR")
Logger.getLogger("parquet.hadoop").setLevel(java.util.logging.Level.SEVERE)
spark
}
Expand Down