I'm running a query from the BigDataBenchmark, query 1B to be precise.
When running this with Spark (1.3.1)+ mesos(0.21) in coarse grained mode
with 5 mesos slave, through a spark shell, all is well.
However rerunning the query a few times:
scala> sqlContext.sql("SELECT pageURL, pageRank FROM rankings where
pageRank > 100").collect
Builds up loads of memory for the spark-shell process. Up to the point that
19GB (spark.driver.memory=30GB) is full and then the same collect of the
above query goes from, approx 10s to 40+s with obvious stalls (garbage
collection).
I'm I doing something wrong? Why isn't spark releasing the results' memory,
I'm not saving them anywhere using the .collect am I?
I'm loading in the following file, and then execute its _loadRankings_
method:
http://pastebin.com/rzJmWDxJ
Hope someone can clearify this.
PS
java 1.7.0 is used, if more environment info is needed, please let me know.
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