[SPARK-11929][CORE] Make the repl log4j configuration override the root logger.
In the default Spark distribution, there are currently two separate log4j config files, with different default values for the root logger, so that when running the shell you have a different default log level. This makes the shell more usable, since the logs don't overwhelm the output. But if you install a custom log4j.properties, you lose that, because then it's going to be used no matter whether you're running a regular app or the shell. With this change, the overriding of the log level is done differently; the log level repl's main class (org.apache.spark.repl.Main) is used to define the root logger's level when running the shell, defaulting to WARN if it's not set explicitly. On a somewhat related change, the shell output about the "sc" variable was changed a bit to contain a little more useful information about the application, since when the root logger's log level is WARN, that information is never shown to the user. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #9816 from vanzin/shell-logging.
This commit is contained in:
Marcelo Vanzin
Imran Rashid
parent
f315272279
commit
e6dd237463
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@ -22,6 +22,11 @@ log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
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# Set the default spark-shell log level to WARN. When running the spark-shell, the
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# log level for this class is used to overwrite the root logger's log level, so that
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# the user can have different defaults for the shell and regular Spark apps.
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log4j.logger.org.apache.spark.repl.Main=WARN
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# Settings to quiet third party logs that are too verbose
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log4j.logger.org.spark-project.jetty=WARN
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log4j.logger.org.spark-project.jetty.util.component.AbstractLifeCycle=ERROR
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@ -1,33 +0,0 @@
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Set everything to be logged to the console
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log4j.rootCategory=WARN, console
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log4j.appender.console=org.apache.log4j.ConsoleAppender
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log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
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# Settings to quiet third party logs that are too verbose
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log4j.logger.org.spark-project.jetty=WARN
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log4j.logger.org.spark-project.jetty.util.component.AbstractLifeCycle=ERROR
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log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
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log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
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# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
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log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
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log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
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@ -22,6 +22,11 @@ log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
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# Set the default spark-shell log level to WARN. When running the spark-shell, the
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# log level for this class is used to overwrite the root logger's log level, so that
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# the user can have different defaults for the shell and regular Spark apps.
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log4j.logger.org.apache.spark.repl.Main=WARN
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# Settings to quiet third party logs that are too verbose
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log4j.logger.org.spark-project.jetty=WARN
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log4j.logger.org.spark-project.jetty.util.component.AbstractLifeCycle=ERROR
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@ -17,7 +17,7 @@
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package org.apache.spark
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import org.apache.log4j.{LogManager, PropertyConfigurator}
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import org.apache.log4j.{Level, LogManager, PropertyConfigurator}
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import org.slf4j.{Logger, LoggerFactory}
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import org.slf4j.impl.StaticLoggerBinder
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@ -119,19 +119,8 @@ trait Logging {
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val usingLog4j12 = "org.slf4j.impl.Log4jLoggerFactory".equals(binderClass)
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if (usingLog4j12) {
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val log4j12Initialized = LogManager.getRootLogger.getAllAppenders.hasMoreElements
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if (!log4j12Initialized) {
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// scalastyle:off println
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if (Utils.isInInterpreter) {
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val replDefaultLogProps = "org/apache/spark/log4j-defaults-repl.properties"
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Option(Utils.getSparkClassLoader.getResource(replDefaultLogProps)) match {
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case Some(url) =>
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PropertyConfigurator.configure(url)
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System.err.println(s"Using Spark's repl log4j profile: $replDefaultLogProps")
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System.err.println("To adjust logging level use sc.setLogLevel(\"INFO\")")
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case None =>
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System.err.println(s"Spark was unable to load $replDefaultLogProps")
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}
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} else {
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if (!log4j12Initialized) {
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val defaultLogProps = "org/apache/spark/log4j-defaults.properties"
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Option(Utils.getSparkClassLoader.getResource(defaultLogProps)) match {
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case Some(url) =>
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@ -141,9 +130,21 @@ trait Logging {
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System.err.println(s"Spark was unable to load $defaultLogProps")
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}
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}
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// scalastyle:on println
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if (Utils.isInInterpreter) {
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// Use the repl's main class to define the default log level when running the shell,
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// overriding the root logger's config if they're different.
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val rootLogger = LogManager.getRootLogger()
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val replLogger = LogManager.getLogger("org.apache.spark.repl.Main")
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val replLevel = Option(replLogger.getLevel()).getOrElse(Level.WARN)
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if (replLevel != rootLogger.getEffectiveLevel()) {
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System.err.printf("Setting default log level to \"%s\".\n", replLevel)
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System.err.println("To adjust logging level use sc.setLogLevel(newLevel).")
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rootLogger.setLevel(replLevel)
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}
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}
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// scalastyle:on println
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}
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Logging.initialized = true
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// Force a call into slf4j to initialize it. Avoids this happening from multiple threads
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@ -125,7 +125,8 @@ private[repl] trait SparkILoopInit {
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command("""
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@transient val sc = {
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val _sc = org.apache.spark.repl.Main.interp.createSparkContext()
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println("Spark context available as sc.")
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println("Spark context available as sc " +
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s"(master = ${_sc.master}, app id = ${_sc.applicationId}).")
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_sc
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}
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""")
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@ -39,7 +39,8 @@ class SparkILoop(in0: Option[BufferedReader], out: JPrintWriter)
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processLine("""
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@transient val sc = {
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val _sc = org.apache.spark.repl.Main.createSparkContext()
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println("Spark context available as sc.")
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println("Spark context available as sc " +
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s"(master = ${_sc.master}, app id = ${_sc.applicationId}).")
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_sc
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}
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""")
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