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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/10/25 14:47:53 UTC
[GitHub] [spark] wangyum commented on a change in pull request #29642: [SPARK-32792][SQL] Improve in filter pushdown for ParquetFilters
wangyum commented on a change in pull request #29642:
URL: https://github.com/apache/spark/pull/29642#discussion_r511606498
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala
##########
@@ -597,12 +599,26 @@ class ParquetFilters(
createFilterHelper(pred, canPartialPushDownConjuncts = false)
.map(FilterApi.not)
- case sources.In(name, values) if canMakeFilterOn(name, values.head)
- && values.distinct.length <= pushDownInFilterThreshold =>
Review comment:
Sort performance:
```scala
import org.apache.spark.benchmark.Benchmark
val N = 20000000
val array = Range(1, N).map(_.%(10000000)).toArray
val benchmark = new Benchmark(s"Benchmark distinct", valuesPerIteration = N, minNumIters = 30)
benchmark.addCase("array.sorted") { _ =>
array.sorted
}
benchmark.addCase("array.distinct") { _ =>
array.distinct
}
benchmark.run()
```
```
Java HotSpot(TM) 64-Bit Server VM 1.8.0_251-b08 on Mac OS X 10.15.6
Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz
Benchmark distinct: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
array.sorted 296 821 NaN 67.7 14.8 1.0X
array.distinct 3005 3933 330 6.7 150.2 0.1X
```
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