[GitHub] spark issue #13371: [SPARK-15639][SQL] Try to push down filter at RowGroups ...

[viirya <gi...@git.apache.org>]

Github user viirya commented on the issue:

    https://github.com/apache/spark/pull/13371
  
    @yhuai I've run a simple benchmark as following:
    
        test("Benchmark for Parquet") {
          val N = 1 << 20
    
          val benchmark = new Benchmark("Parquet reader", N)
          benchmark.addCase("reading Parquet file", 1) { iter =>
            withParquetTable((0 until N).map(i => (101, i)), "t") {
              sql("SELECT _1 FROM t where t._1 < 100").show()
            }
          }
          benchmark.run()
        }
    
    Before this patch:
    
        Parquet reader:                          Best/Avg Time(ms)    Rate(M/s)   Per Row(ns)   Relative
        ------------------------------------------------------------------------------------------------
        reading Parquet file                        34225 / 34225          0.0       32639.5       1.0X
    
    After this patch:
    
        Parquet reader:                          Best/Avg Time(ms)    Rate(M/s)   Per Row(ns)   Relative
        ------------------------------------------------------------------------------------------------
        reading Parquet file                        31350 / 31350          0.0       29897.6       1.0X
    



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