Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16156#discussion_r90974262
--- 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 --
Please add a test case. Thanks!
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