Hi Ted
Spark version : spark-1.6.0-bin-hadoop2.6
I tried increase the memory of executor. Still have the same problem.
I can use jmap to capture some thing. But the output is too difficult to
understand.
在 2016-05-11 11:50:14，"Ted Yu" <yuzhih...@gmail.com> 写道：
Which Spark release are you using ?
I assume executor crashed due to OOME.
Did you have a chance to capture jmap on the executor before it crashed ?
Have you tried giving more memory to the executor ?
Thanks
On Tue, May 10, 2016 at 8:25 PM, kramer2...@126.com<kramer2...@126.com> wrote:
I submit my code to a spark stand alone cluster. Find the memory usage
executor process keeps growing. Which cause the program to crash.
I modified the code and submit several times. Find below 4 line may causing
the issue
dataframe =
dataframe.groupBy(['router','interface']).agg(func.sum('bits').alias('bits'))
windowSpec =
Window.partitionBy(dataframe['router']).orderBy(dataframe['bits'].desc())
rank = func.dense_rank().over(windowSpec)
ret =
dataframe.select(dataframe['router'],dataframe['interface'],dataframe['bits'],
rank.alias('rank')).filter("rank<=2")
It looks a little complicated but it is just some Window function on
dataframe. I use the HiveContext because SQLContext do not support window
function yet. Without the 4 line, my code can run all night. Adding them
will cause the memory leak. Program will crash in a few hours.
I will provided the whole code (50 lines)here. ForAsk01.py
<http://apache-spark-user-list.1001560.n3.nabble.com/file/n26921/ForAsk01.py>
Please advice me if it is a bug..
Also here is the submit command
nohup ./bin/spark-submit \
--master spark://ES01:7077 \
--executor-memory 4G \
--num-executors 1 \
--total-executor-cores 1 \
--conf "spark.storage.memoryFraction=0.2" \
./ForAsk.py 1>a.log 2>b.log &
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