完美解决Spark应用日志级别设置

忘是亡心i 2022-06-15 10:17 398阅读 0赞

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。

![1240][]

![Image 1][]

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

![1240 1][]

![Image 1][]

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：

![Image 1][]

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

![1240 2][]

### **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。

![1240 3][]

![Image 1][]

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** #

![1240 4][]

![Image 1][]

[1240]: /images/20220615/2c8dc8c99cf44fbfb80c97cce9652e6c.png
[Image 1]: 
[1240 1]: /images/20220615/c9dcde1cce3e45cd8dd4bd86bd86adc0.png
[1240 2]: /images/20220615/6eb4f2b2ebdd4d439db7b35c3522e844.png
[1240 3]: /images/20220615/2cdcaac3a79c41edbf11cb4381eb5f54.png
[1240 4]: /images/20220615/39abbea419a544b491f050a47530c853.png