sadikovi commented on code in PR #36328:
URL: https://github.com/apache/spark/pull/36328#discussion_r864479449
##########
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala:
##########
@@ -1423,65 +1442,123 @@ abstract class ParquetFilterSuite extends QueryTest
with ParquetTest with Shared
}
}
- test("filter pushdown - StringStartsWith") {
+ private def checkStringFilterPushdown(
+ stringPredicate: String => Expression,
+ sourceFilter: (String, String) => sources.Filter): Unit = {
withParquetDataFrame((1 to 4).map(i => Tuple1(i + "str" + i))) { implicit
df =>
checkFilterPredicate(
- $"_1".startsWith("").asInstanceOf[Predicate],
+ stringPredicate("").asInstanceOf[Predicate],
classOf[UserDefinedByInstance[_, _]],
Seq("1str1", "2str2", "3str3", "4str4").map(Row(_)))
- Seq("2", "2s", "2st", "2str", "2str2").foreach { prefix =>
+ Seq("2", "2str2").foreach { str =>
checkFilterPredicate(
- $"_1".startsWith(prefix).asInstanceOf[Predicate],
+ stringPredicate(str).asInstanceOf[Predicate],
classOf[UserDefinedByInstance[_, _]],
"2str2")
}
- Seq("2S", "null", "2str22").foreach { prefix =>
+ Seq("2S", "null", "2str22").foreach { str =>
checkFilterPredicate(
- $"_1".startsWith(prefix).asInstanceOf[Predicate],
+ stringPredicate(str).asInstanceOf[Predicate],
classOf[UserDefinedByInstance[_, _]],
Seq.empty[Row])
}
checkFilterPredicate(
- !$"_1".startsWith("").asInstanceOf[Predicate],
+ !stringPredicate("").asInstanceOf[Predicate],
classOf[Operators.Not],
Seq().map(Row(_)))
- Seq("2", "2s", "2st", "2str", "2str2").foreach { prefix =>
+ Seq("2", "2str2").foreach { str =>
checkFilterPredicate(
- !$"_1".startsWith(prefix).asInstanceOf[Predicate],
+ !stringPredicate(str).asInstanceOf[Predicate],
classOf[Operators.Not],
Seq("1str1", "3str3", "4str4").map(Row(_)))
}
- Seq("2S", "null", "2str22").foreach { prefix =>
+ Seq("2S", "null", "2str22").foreach { str =>
checkFilterPredicate(
- !$"_1".startsWith(prefix).asInstanceOf[Predicate],
+ !stringPredicate(str).asInstanceOf[Predicate],
classOf[Operators.Not],
Seq("1str1", "2str2", "3str3", "4str4").map(Row(_)))
}
val schema = new SparkToParquetSchemaConverter(conf).convert(df.schema)
assertResult(None) {
-
createParquetFilters(schema).createFilter(sources.StringStartsWith("_1", null))
+ createParquetFilters(schema).createFilter(sourceFilter("_1", null))
}
}
// SPARK-28371: make sure filter is null-safe.
withParquetDataFrame(Seq(Tuple1[String](null))) { implicit df =>
checkFilterPredicate(
- $"_1".startsWith("blah").asInstanceOf[Predicate],
+ stringPredicate("blah").asInstanceOf[Predicate],
classOf[UserDefinedByInstance[_, _]],
Seq.empty[Row])
}
+ }
+
+ test("filter pushdown - StringStartsWith") {
+ checkStringFilterPushdown(
+ str => $"_1".startsWith(str),
+ (attr, value) => sources.StringStartsWith(attr, value))
+ }
+
+ test("filter pushdown - StringEndsWith") {
+ checkStringFilterPushdown(
+ str => $"_1".endsWith(str),
+ (attr, value) => sources.StringEndsWith(attr, value))
+ }
+
+ test("filter pushdown - StringContains") {
+ checkStringFilterPushdown(
+ str => $"_1".contains(str),
+ (attr, value) => sources.StringContains(attr, value))
+ }
+ test("filter pushdown - StringPredicate") {
import testImplicits._
- // Test canDrop() has taken effect
- testStringStartsWith(spark.range(1024).map(_.toString).toDF(), "value like
'a%'")
- // Test inverseCanDrop() has taken effect
- testStringStartsWith(spark.range(1024).map(c => "100").toDF(), "value not
like '10%'")
+ // keep() should take effect on StartsWith/EndsWith/Contains
+ Seq(
+ "value like 'a%'", // StartsWith
+ "value like '%a'", // EndsWith
+ "value like '%a%'" // Contains
Review Comment:
Does this test assume that dictionary filtering is enabled or not?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
