dbtsai commented on a change in pull request #27728:
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398318993
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
##########
@@ -103,22 +107,42 @@ abstract class ParquetFilterSuite extends QueryTest with
ParquetTest with Shared
checkFilterPredicate(predicate, filterClass, Seq(Row(expected)))(df)
}
- private def checkBinaryFilterPredicate
- (predicate: Predicate, filterClass: Class[_ <: FilterPredicate],
expected: Seq[Row])
- (implicit df: DataFrame): Unit = {
- def checkBinaryAnswer(df: DataFrame, expected: Seq[Row]) = {
- assertResult(expected.map(_.getAs[Array[Byte]](0).mkString(",")).sorted)
{
-
df.rdd.map(_.getAs[Array[Byte]](0).mkString(",")).collect().toSeq.sorted
- }
+ /**
+ * Takes single level `inputDF` dataframe to generate multi-level nested
+ * dataframes as new test data.
+ */
+ private def withNestedDataFrame(inputDF: DataFrame)
+ (runTests: (DataFrame, String, Any => Any) => Unit): Unit = {
+ assert(inputDF.schema.fields.length == 1)
+ assert(!inputDF.schema.fields.head.dataType.isInstanceOf[StructType])
Review comment:
@cloud-fan schema checking in the code to avoid passing any type of
dataframe.
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