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Posted to issues@spark.apache.org by "Platon Potapov (JIRA)" <ji...@apache.org> on 2015/04/24 13:36:52 UTC
[jira] [Created] (SPARK-7122) KafkaUtils.createDirectStream -
unreasonable processing time in absence of load
Platon Potapov created SPARK-7122:
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Summary: KafkaUtils.createDirectStream - unreasonable processing time in absence of load
Key: SPARK-7122
URL: https://issues.apache.org/jira/browse/SPARK-7122
Project: Spark
Issue Type: Question
Components: Streaming
Affects Versions: 1.3.1
Environment: Spark Streaming 1.3.1, standalone mode running on just 1 box: Ubuntu 14.04.2 LTS, 4 cores, 8GB RAM, java version "1.8.0_40"
Reporter: Platon Potapov
attached is the complete source code of a test spark job. no external data generators are run - just the presence of a kafka topic named "raw" suffices.
the spark job is run with no load whatsoever. http://localhost:4040/streaming is checked to obtain job processing duration.
* in case the test contains the following transformation:
{code}
// dummy transformation
val temperature = bytes.filter(_._1 == "abc")
val abc = temperature.window(Seconds(40), Seconds(5))
abc.print()
{code}
the median processing time is 3 seconds 80 ms
* in case the test contains the following transformation:
{code}
// dummy transformation
val temperature = bytes.filter(_._1 == "abc")
val abc = temperature.map(x => (1, x))
abc.print()
{code}
the median processing time is just 50 ms
please explain why does the "window" transformation introduce such a growth of job duration?
note: the result is the same regardless of the number of kafka topic partitions (I've tried 1 and 8)
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