hotdog created SPARK-11101:
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Summary: pipe() operation OOM
Key: SPARK-11101
URL: https://issues.apache.org/jira/browse/SPARK-11101
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 1.4.1
Environment: spark on yarn
Reporter: hotdog
when using pipe() operation with large data(10TB), the pipe() operation always
OOM.
my parameters:
executor-memory 16g
executor-cores 4
num-executors 400
"spark.yarn.executor.memoryOverhead", "8192"
partition number: 60000
does pipe() operation use many off-heap memory?
the log is :
killed by YARN for exceeding memory limits. 24.4 GB of 24 GB physical memory
used. Consider boosting spark.yarn.executor.memoryOverhead.
should I continue boosting spark.yarn.executor.memoryOverhead? Or there are
some bugs in the pipe() operation?
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