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- #
- # Licensed to the Apache Software Foundation (ASF) under one or more
- # contributor license agreements. See the NOTICE file distributed with
- # this work for additional information regarding copyright ownership.
- # The ASF licenses this file to You under the Apache License, Version 2.0
- # (the "License"); you may not use this file except in compliance with
- # the License. You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- #
- # 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{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
- # Set the default spark-shell log level to WARN. When running the spark-shell, the
- # log level for this class is used to overwrite the root logger's log level, so that
- # the user can have different defaults for the shell and regular Spark apps.
- log4j.logger.org.apache.spark.repl.Main=WARN
- # Settings to quiet third party logs that are too verbose
- log4j.logger.org.spark_project.jetty=WARN
- log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR
- log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
- log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
- log4j.logger.org.apache.parquet=ERROR
- log4j.logger.parquet=ERROR
- # SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
- log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
- log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
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