How to surpress “Code Generated” and “Cleaned Accumulator” messages in Spark
I wrote a spark job. The job ran fine without any problems. However when I look at my error log file, I see so many messages of type
[error] 18/11/25 17:28:14 INFO CodeGenerator: Code
generated in 16.947005 ms
and
[error] 18/11/25 17:28:15 INFO ContextCleaner: Cleaned
accumulator 239819
and
[error] 18/11/25 17:28:06 INFO BlockManagerInfo: Removed
broadcast_13354_piece0 on 192.168.2.101:43753 in memory
(size: 20.5 KB, free: 6.2 GB)
Is there any way to suppress these messages. they are just bloating up my log file.
Not sure why spark is reporting these as error. when they look like some kind of debug messages.
scala apache-spark
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
add a comment |
I wrote a spark job. The job ran fine without any problems. However when I look at my error log file, I see so many messages of type
[error] 18/11/25 17:28:14 INFO CodeGenerator: Code
generated in 16.947005 ms
and
[error] 18/11/25 17:28:15 INFO ContextCleaner: Cleaned
accumulator 239819
and
[error] 18/11/25 17:28:06 INFO BlockManagerInfo: Removed
broadcast_13354_piece0 on 192.168.2.101:43753 in memory
(size: 20.5 KB, free: 6.2 GB)
Is there any way to suppress these messages. they are just bloating up my log file.
Not sure why spark is reporting these as error. when they look like some kind of debug messages.
scala apache-spark
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
add a comment |
I wrote a spark job. The job ran fine without any problems. However when I look at my error log file, I see so many messages of type
[error] 18/11/25 17:28:14 INFO CodeGenerator: Code
generated in 16.947005 ms
and
[error] 18/11/25 17:28:15 INFO ContextCleaner: Cleaned
accumulator 239819
and
[error] 18/11/25 17:28:06 INFO BlockManagerInfo: Removed
broadcast_13354_piece0 on 192.168.2.101:43753 in memory
(size: 20.5 KB, free: 6.2 GB)
Is there any way to suppress these messages. they are just bloating up my log file.
Not sure why spark is reporting these as error. when they look like some kind of debug messages.
scala apache-spark
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
I wrote a spark job. The job ran fine without any problems. However when I look at my error log file, I see so many messages of type
[error] 18/11/25 17:28:14 INFO CodeGenerator: Code
generated in 16.947005 ms
and
[error] 18/11/25 17:28:15 INFO ContextCleaner: Cleaned
accumulator 239819
and
[error] 18/11/25 17:28:06 INFO BlockManagerInfo: Removed
broadcast_13354_piece0 on 192.168.2.101:43753 in memory
(size: 20.5 KB, free: 6.2 GB)
Is there any way to suppress these messages. they are just bloating up my log file.
Not sure why spark is reporting these as error. when they look like some kind of debug messages.
scala apache-spark
scala apache-spark
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
edited Nov 26 '18 at 3:39
Knows Not Much
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
asked Nov 26 '18 at 3:33
Knows Not MuchKnows Not Much
10.6k28100203
10.6k28100203
add a comment |
add a comment |
1 Answer
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when you are creating the object of SparkContext, use the following code with it to set the log level according to the requirement:
sparkContext.setLogLevel("WARN")
The above line will set the log level for Spark to WARN and you will not get any INFO or DEBUG level logs.
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
when you are creating the object of SparkContext, use the following code with it to set the log level according to the requirement:
sparkContext.setLogLevel("WARN")
The above line will set the log level for Spark to WARN and you will not get any INFO or DEBUG level logs.
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
add a comment |
when you are creating the object of SparkContext, use the following code with it to set the log level according to the requirement:
sparkContext.setLogLevel("WARN")
The above line will set the log level for Spark to WARN and you will not get any INFO or DEBUG level logs.
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
add a comment |
when you are creating the object of SparkContext, use the following code with it to set the log level according to the requirement:
sparkContext.setLogLevel("WARN")
The above line will set the log level for Spark to WARN and you will not get any INFO or DEBUG level logs.
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
when you are creating the object of SparkContext, use the following code with it to set the log level according to the requirement:
sparkContext.setLogLevel("WARN")
The above line will set the log level for Spark to WARN and you will not get any INFO or DEBUG level logs.
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
answered Nov 26 '18 at 4:33
anuj saxenaanuj saxena
24917
24917
add a comment |
add a comment |
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