[jira] [Created] (SPARK-14367) spark.memory.useLegacyMode=true in 1.6 does not yield the same memory behavior as in 1.3

["Tom Hubregtsen (JIRA)" <ji...@apache.org>]

Tom Hubregtsen created SPARK-14367:
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             Summary: spark.memory.useLegacyMode=true in 1.6 does not yield the same memory behavior as in 1.3
                 Key: SPARK-14367
                 URL: https://issues.apache.org/jira/browse/SPARK-14367
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.6.0
         Environment: Ubuntu 15.10 with ibm-java-ppc64le-80. 
            Reporter: Tom Hubregtsen
            Priority: Minor


 Hi,

I am trying to get the same memory behavior in Spark 1.6 as I had in Spark 1.3 with default settings.

I set
--driver-java-options "--Dspark.memory.useLegacyMode=true -Dspark.shuffle.memoryFraction=0.2 -Dspark.storage.memoryFraction=0.6 -Dspark.storage.unrollFraction=0.2"
in Spark 1.6.

But the numbers don't add up. For instance:
--driver-java-options "-Dspark.shuffle.memoryFraction=0.1 -Dspark.storage.memoryFraction=0.1"
in Spark 1.3.1 leads to:
16/03/29 14:47:36 INFO MemoryStore: MemoryStore started with capacity 46.1 MB
The same in Spark 1.6.0 with -Dspark.memory.useLegacyMode=true -Dspark.shuffle.memoryFraction=0.1 -Dspark.storage.memoryFraction=0.1.
16/03/29 14:50:55 INFO MemoryStore: MemoryStore started with capacity 92.2 MB

If I then increase both fractions to 0.2, the numbers of the MemoryStore both double (as one would expect), but that means there is still a 2x difference in allocated memory between Spark 1.3 and Spark 1.6. So my question:

I believe a parameter that reads
spark.memory.useLegacyMode=true
should yield the *exact* memory behavior as in the Legacy version. 



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