kino update

spark/log4j.properties

-#
-# 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
-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.sparkproject.jetty=WARN
-log4j.logger.org.sparkproject.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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