Github user liancheng commented on a diff in the pull request: https://github.com/apache/spark/pull/16156#discussion_r90968974 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala --- @@ -578,4 +578,66 @@ class ParquetFilterSuite extends QueryTest with ParquetTest with SharedSQLContex // scalastyle:on nonascii } } + + test("SPARK-18539 - filtered by non-existing parquet column") { + Seq("parquet").foreach { format => + withSQLConf(SQLConf.PARQUET_FILTER_PUSHDOWN_ENABLED.key -> "true") { + withTempPath { path => + import testImplicits._ + Seq((1, "abc"), (2, "hello")).toDF("a", "b").write.format(format).save(path.toString) + + // user-specified schema contains nonexistent columns + val schema = StructType( + Seq(StructField("a", IntegerType), + StructField("b", StringType), + StructField("c", IntegerType))) + val readDf1 = spark.read.schema(schema).format(format).load(path.toString) + + // Read the table without any filter + checkAnswer(readDf1, Row(1, "abc", null) :: Row(2, "hello", null) :: Nil) + // Read the table with a filter on existing columns + checkAnswer(readDf1.filter("a < 2"), Row(1, "abc", null) :: Nil) + + // Read the table with a filter on nonexistent columns + checkAnswer(readDf1.filter("c < 2"), Nil) + checkAnswer(readDf1.filter("c is not null"), Nil) + + checkAnswer(readDf1.filter("c is null"), + Row(1, "abc", null) :: Row(2, "hello", null) :: Nil) + + checkAnswer(readDf1.filter("c is null and a < 2"), + Row(1, "abc", null) :: Nil) + + // With another parquet file that contains the column "c" + Seq((2, "abc", 3), (3, "hello", 4)).toDF("a", "b", "c") + .write.format(format).mode(SaveMode.Append).save(path.toString) + + // Right now, there are 2 parquet files. one with the column "c", + // the other does not have it. + val readDf2 = spark.read.schema(schema).format(format).load(path.toString) --- End diff -- By default, we don't enable Parquet schema merging. Could you please reorganize this test case into something like this to have both code paths tested? ```scala Seq(true, false).foreach { merge => test("SPARK-18539 - filtered by non-existing parquet column - schema merging enabled: $merge") { // ... val readDf2 = spark.read .option("mergeSchema", merge.toString) .schema(schema) .format(format) .load(path.toString) // ... } } ```
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