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From ankits <>
Subject Serialized task result size exceeded
Date Fri, 30 Jan 2015 20:46:33 GMT
This is on spark 1.2

I am loading ~6k parquet files, roughly 500 MB each into a schemaRDD, and
calling count() on it.

After loading about 2705 tasks (there is one per file), the job crashes with
this error:
Total size of serialized results of 2705 tasks (1024.0 MB) is bigger than
spark.driver.maxResultSize (1024.0 MB)

This indicates that the results of each task are about 2705/1024 = 2.6MB
each. Is that normal? I don't know exactly what the result of each task
would be, but 2.6 MB for each seems too high. Can anyone offer an
explanation as to what the normal size should be if this is too high, or
ways to reduce this?


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