完美解决Spark应用日志级别设置

最近在研究Spark的相关知识，本地搭建了一个开发环境Windows7+Eclipse+JDK1.7。

一. 日志效率原因

开发时，控制台输出一大堆日志信息，严重影响查看日志效率。



从控制台输出日志我们可以看出，应用程序是默认加载Spark-core包下面的log4j-defaults.properties日志文件。查看log4j-defaults.properties文件



由上图可知，Spark-core包设置默认的日志级别为info，所以我们才看到一大堆日志信i息。
那针对以上问题，在开发过程中我们如何解决？

二. 日志级别解决方法

方式一.局部应用设置

针对SparkContext应用，Spark有专门的api设置日志级别，如下：

上述方法，只针对SparkContext相关的应用，而对Spark-streaming等应用无效果。

方式二.全局应用设置

针对spark所有应用，可以Java工程目录中新建/src/main/resources目录，把log4j.properties放置该目录。



log4j.properties生成：
1. Spark中conf默认配置文件是log4j.properties.template，可以将其改名为log4j.properties;
2. 将Spark-core包中的log4j-default.properties内容复制到log4j.properties文件。
#log4j内容如下

#
# 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=WARN, 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

# 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

在开发工程中，我们可以设置日志级别为WARN，即：
log4j.rootCategory=WARN, console

三. 日志级别设置效果