Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/18000#discussion_r117061432
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ---
    @@ -47,39 +49,45 @@ import org.apache.spark.util.{AccumulatorContext, 
AccumulatorV2}
      *    data type is nullable.
      */
     class ParquetFilterSuite extends QueryTest with ParquetTest with 
SharedSQLContext {
    +
    +  private def checkWithSelectedFilters
    +      (df: DataFrame, predicate: Predicate)
    +      (checker: (DataFrame, Seq[Filter]) => Unit): Unit = {
    +    val output = predicate.collect { case a: Attribute => a }.distinct
    +
    +    val filtered = df
    +      .select(output.map(e => Column(e)): _*)
    +      .where(Column(predicate))
    +
    +    var maybeRelation: Option[HadoopFsRelation] = None
    +    val maybeAnalyzedPredicate = 
filtered.queryExecution.optimizedPlan.collect {
    +      case PhysicalOperation(_, filters, LogicalRelation(relation: 
HadoopFsRelation, _, _)) =>
    +        maybeRelation = Some(relation)
    +        filters
    +    }.flatten.reduceLeftOption(_ && _)
    +    assert(maybeAnalyzedPredicate.isDefined, "No filter is analyzed from 
the given query")
    +
    +    val (_, selectedFilters, _) =
    +      DataSourceStrategy.selectFilters(maybeRelation.get, 
maybeAnalyzedPredicate.toSeq)
    +    assert(selectedFilters.nonEmpty, "No filter is pushed down")
    +    checker(filtered, selectedFilters)
    +  }
    +
       private def checkFilterPredicate(
           df: DataFrame,
           predicate: Predicate,
           filterClass: Class[_ <: FilterPredicate],
           checker: (DataFrame, Seq[Row]) => Unit,
           expected: Seq[Row]): Unit = {
    -    val output = predicate.collect { case a: Attribute => a }.distinct
    +    checkWithSelectedFilters(df, predicate) { case (filtered, 
selectedFilters) =>
    +      selectedFilters.foreach { pred =>
    +        val maybeFilter = ParquetFilters.createFilter(df.schema, pred)
    +        assert(maybeFilter.isDefined, s"Couldn't generate filter predicate 
for $pred")
    +      }
     
    -    withSQLConf(SQLConf.PARQUET_FILTER_PUSHDOWN_ENABLED.key -> "true") {
    -      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> 
"false") {
    -        val query = df
    -          .select(output.map(e => Column(e)): _*)
    -          .where(Column(predicate))
    -
    -        var maybeRelation: Option[HadoopFsRelation] = None
    -        val maybeAnalyzedPredicate = 
query.queryExecution.optimizedPlan.collect {
    -          case PhysicalOperation(_, filters, LogicalRelation(relation: 
HadoopFsRelation, _, _)) =>
    -            maybeRelation = Some(relation)
    -            filters
    -        }.flatten.reduceLeftOption(_ && _)
    -        assert(maybeAnalyzedPredicate.isDefined, "No filter is analyzed 
from the given query")
    -
    -        val (_, selectedFilters, _) =
    -          DataSourceStrategy.selectFilters(maybeRelation.get, 
maybeAnalyzedPredicate.toSeq)
    -        assert(selectedFilters.nonEmpty, "No filter is pushed down")
    -
    -        selectedFilters.foreach { pred =>
    -          val maybeFilter = ParquetFilters.createFilter(df.schema, pred)
    -          assert(maybeFilter.isDefined, s"Couldn't generate filter 
predicate for $pred")
    -          // Doesn't bother checking type parameters here (e.g. 
`Eq[Integer]`)
    -          maybeFilter.exists(_.getClass === filterClass)
    --- End diff --
    
    Thanks ... 


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