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  1. Spark
  2. SPARK-2469

Lower shuffle compression buffer memory usage (replace LZF with Snappy for default compression codec)

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Details

    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.1.0
    • Shuffle, Spark Core

    Description

      I was looking into the memory usage of shuffle and one annoying thing is the default compression codec (LZF) is that the implementation we use allocates buffers pretty generously. I did a simple experiment and found that creating 1000 LZFOutputStream allocated 198976424 bytes (~190MB). If we have a shuffle task that uses 10k reducers and 32 threads running currently, the memory used by the lzf stream alone would be ~ 60GB.

      In comparison, Snappy only allocates ~ 65MB for every 1k SnappyOutputStream. However, Snappy's compression is slightly lower than LZF's. In my experience, it leads to 10 - 20% increase in size. Compression ratio does matter here because we are sending data across the network.

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              rxin Reynold Xin
              rxin Reynold Xin
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