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OSCL-LXR

 
 

    


0001 #
0002 # Licensed to the Apache Software Foundation (ASF) under one or more
0003 # contributor license agreements.  See the NOTICE file distributed with
0004 # this work for additional information regarding copyright ownership.
0005 # The ASF licenses this file to You under the Apache License, Version 2.0
0006 # (the "License"); you may not use this file except in compliance with
0007 # the License.  You may obtain a copy of the License at
0008 #
0009 #    http://www.apache.org/licenses/LICENSE-2.0
0010 #
0011 # Unless required by applicable law or agreed to in writing, software
0012 # distributed under the License is distributed on an "AS IS" BASIS,
0013 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014 # See the License for the specific language governing permissions and
0015 # limitations under the License.
0016 #
0017 
0018 # Set everything to be logged to the console
0019 log4j.rootCategory=INFO, console
0020 log4j.appender.console=org.apache.log4j.ConsoleAppender
0021 log4j.appender.console.target=System.err
0022 log4j.appender.console.layout=org.apache.log4j.PatternLayout
0023 log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
0024 
0025 # Set the default spark-shell log level to WARN. When running the spark-shell, the
0026 # log level for this class is used to overwrite the root logger's log level, so that
0027 # the user can have different defaults for the shell and regular Spark apps.
0028 log4j.logger.org.apache.spark.repl.Main=WARN
0029 
0030 # Settings to quiet third party logs that are too verbose
0031 log4j.logger.org.sparkproject.jetty=WARN
0032 log4j.logger.org.sparkproject.jetty.util.component.AbstractLifeCycle=ERROR
0033 log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
0034 log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
0035 log4j.logger.org.apache.parquet=ERROR
0036 log4j.logger.parquet=ERROR
0037 
0038 # SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
0039 log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
0040 log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR