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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