如何抑制在EMR上运行的spark-sql的INFO消息?

问题描述

我正在EMR上运行Spark，如在Amazon Elastic MapReduce上运行Spark和Spark SQL 所述:

我试图通过编辑$HOME/spark/conf/log4j.properties来抑制INFO日志，但无济于事.

输出如下:

$ ./spark/bin/spark-sql
Spark assembly has been built with Hive, including Datanucleus jars on classpath
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/.versions/2.4.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/.versions/spark-1.1.1.e/lib/spark-assembly-1.1.1-hadoop2.4.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
2014-12-14 20:59:01,819 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.input.dir.recursive is deprecated. Instead, use mapreduce.input.fileinputformat.input.dir.recursive
2014-12-14 20:59:01,825 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.max.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.maxsize
2014-12-14 20:59:01,825 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.min.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize
2014-12-14 20:59:01,825 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.min.split.size.per.rack is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.rack

如何隐藏上面的INFO消息?

解决方案

如果您知道要禁止记录新EMR集群，也可以在创建集群时仅添加配置选项.

EMR将配置选项接受为JSON，您可以将其直接输入到AWS控制台，或者在使用CLI时通过文件传递.

在这种情况下，为了将日志级别更改为WARN，这是JSON:

[
  {
    "classification": "spark-log4j",
    "properties": {"log4j.rootCategory": "WARN, console"}
  }
]

在控制台中，您将在创建的第一步中添加它:

或者如果您正在使用CLI创建集群:

aws emr create-cluster <options here> --configurations config_file.json

您可以在EMR文档中阅读更多的. >

I'm running Spark on EMR as described in Run Spark and Spark SQL on Amazon Elastic MapReduce:

I'm trying to suppress the INFO logs by editing $HOME/spark/conf/log4j.properties to no avail.

Output looks like:

$ ./spark/bin/spark-sql
Spark assembly has been built with Hive, including Datanucleus jars on classpath
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/.versions/2.4.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/.versions/spark-1.1.1.e/lib/spark-assembly-1.1.1-hadoop2.4.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
2014-12-14 20:59:01,819 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.input.dir.recursive is deprecated. Instead, use mapreduce.input.fileinputformat.input.dir.recursive
2014-12-14 20:59:01,825 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.max.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.maxsize
2014-12-14 20:59:01,825 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.min.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize
2014-12-14 20:59:01,825 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.min.split.size.per.rack is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.rack

How to suppress the INFO messages above?

解决方案

You can also just add the configuration option at cluster creation, if you know you want to suppress logging for a new EMR cluster.

EMR accepts configuration options as JSON, which you can enter directly into the AWS console, or pass in via a file when using the CLI.

In this case, in order to change the log level to WARN, here's the JSON:

[
  {
    "classification": "spark-log4j",
    "properties": {"log4j.rootCategory": "WARN, console"}
  }
]

In the console, you'd add this in the first creation step:

Or if you're creating the cluster using the CLI:

aws emr create-cluster <options here> --configurations config_file.json

You can read more in the EMR documentation.

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