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From Sandy Ryza <sandy.r...@cloudera.com>
Subject Re: SPARK-streaming app running 10x slower on YARN vs STANDALONE cluster
Date Mon, 29 Dec 2014 17:53:08 GMT
Hi Mukesh,

Based on your spark-submit command, it looks like you're only running with
2 executors on YARN.  Also, how many cores does each machine have?

-Sandy

On Mon, Dec 29, 2014 at 4:36 AM, Mukesh Jha <me.mukesh.jha@gmail.com> wrote:

> Hello Experts,
> I'm bench-marking Spark on YARN (
> https://spark.apache.org/docs/latest/running-on-yarn.html) vs a
> standalone spark cluster (
> https://spark.apache.org/docs/latest/spark-standalone.html).
> I have a standalone cluster with 3 executors, and a spark app running on
> yarn with 4 executors as shown below.
>
> The spark job running inside yarn is 10x slower than the one running on
> the standalone cluster (even though the yarn has more number of workers),
> also in both the case all the executors are in the same datacenter so there
> shouldn't be any latency. On YARN each 5sec batch is reading data from
> kafka and processing it in 5sec & on the standalone cluster each 5sec batch
> is getting processed in 0.4sec.
> Also, In YARN mode all the executors are not getting used up evenly as
> vm-13 & vm-14 are running most of the tasks whereas in the standalone mode
> all the executors are running the tasks.
>
> Do I need to set up some configuration to evenly distribute the tasks?
> Also do you have any pointers on the reasons the yarn job is 10x slower
> than the standalone job?
> Any suggestion is greatly appreciated, Thanks in advance.
>
> YARN(5 workers + driver)
> ========================
> Executor ID Address RDD Blocks Memory Used DU  AT FT CT TT TT Input ShuffleRead
> ShuffleWrite Thread Dump
> 1 vm-18.cloud.com:51796 0 0.0B/530.3MB 0.0 B 1 0 16 17 634 ms 0.0 B 2047.0
> B 1710.0 B Thread Dump
> 2 vm-13.cloud.com:57264 0 0.0B/530.3MB 0.0 B 0 0 1427 1427 5.5 m 0.0 B 0.0
> B 0.0 B Thread Dump
> 3 vm-14.cloud.com:54570 0 0.0B/530.3MB 0.0 B 0 0 1379 1379 5.2 m 0.0 B 1368.0
> B 2.8 KB Thread Dump
> 4 vm-11.cloud.com:56201 0 0.0B/530.3MB 0.0 B 0 0 10 10 625 ms 0.0 B 1368.0
> B 1026.0 B Thread Dump
> 5 vm-5.cloud.com:42958 0 0.0B/530.3MB 0.0 B 0 0 22 22 632 ms 0.0 B 1881.0
> B 2.8 KB Thread Dump
> <driver> vm.cloud.com:51847 0 0.0B/530.0MB 0.0 B 0 0 0 0 0 ms 0.0 B 0.0 B 0.0
> B Thread Dump
>
> /homext/spark/bin/spark-submit
> --master yarn-cluster --num-executors 2 --driver-memory 512m
> --executor-memory 512m --executor-cores 2
> --class com.oracle.ci.CmsgK2H /homext/lib/MJ-ci-k2h.jar
> vm.cloud.com:2181/kafka spark-yarn avro 1 5000
>
> STANDALONE(3 workers + driver)
> ==============================
> Executor ID Address RDD Blocks Memory Used DU AT FT CT TT TT Input ShuffleRead
> ShuffleWrite Thread Dump
> 0 vm-71.cloud.com:55912 0 0.0B/265.0MB 0.0 B 0 0 1069 1069 6.0 m 0.0 B 1534.0
> B 3.0 KB Thread Dump
> 1 vm-72.cloud.com:40897 0 0.0B/265.0MB 0.0 B 0 0 1057 1057 5.9 m 0.0 B 1368.0
> B 4.0 KB Thread Dump
> 2 vm-73.cloud.com:37621 0 0.0B/265.0MB 0.0 B 1 0 1059 1060 5.9 m 0.0 B 2.0
> KB 1368.0 B Thread Dump
> <driver> vm.cloud.com:58299 0 0.0B/265.0MB 0.0 B 0 0 0 0 0 ms 0.0 B 0.0 B 0.0
> B Thread Dump
>
> /homext/spark/bin/spark-submit
> --master spark://chsnmvproc71vm3.usdc2.oraclecloud.com:7077
> --class com.oracle.ci.CmsgK2H /homext/lib/MJ-ci-k2h.jar
> vm.cloud.com:2181/kafka spark-standalone avro 1 5000
>
> PS: I did go through the spark website and
> http://www.virdata.com/tuning-spark/, but was out of any luck.
>
> --
> Cheers,
> Mukesh Jha
>

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