xuyangzhong commented on a change in pull request #17652:
URL: https://github.com/apache/flink/pull/17652#discussion_r741632375
##########
File path:
flink-table/flink-table-planner/src/main/scala/org/apache/flink/table/planner/plan/rules/FlinkBatchRuleSets.scala
##########
@@ -176,13 +176,13 @@ object FlinkBatchRuleSets {
* RuleSet to do push predicate/partition into table scan
*/
val FILTER_TABLESCAN_PUSHDOWN_RULES: RuleSet = RuleSets.ofList(
- // push a filter down into the table scan
- PushFilterIntoTableSourceScanRule.INSTANCE,
- PushFilterIntoLegacyTableSourceScanRule.INSTANCE,
// push partition into the table scan
PushPartitionIntoLegacyTableSourceScanRule.INSTANCE,
// push partition into the dynamic table scan
- PushPartitionIntoTableSourceScanRule.INSTANCE
+ PushPartitionIntoTableSourceScanRule.INSTANCE,
Review comment:
My assumption is that the legacy code will be cleaned future, and so it
will leave one rule each here. Now maybe to classify them separately is more
clear.
##########
File path:
flink-table/flink-table-planner/src/main/scala/org/apache/flink/table/planner/plan/rules/FlinkBatchRuleSets.scala
##########
@@ -176,13 +176,13 @@ object FlinkBatchRuleSets {
* RuleSet to do push predicate/partition into table scan
*/
val FILTER_TABLESCAN_PUSHDOWN_RULES: RuleSet = RuleSets.ofList(
- // push a filter down into the table scan
- PushFilterIntoTableSourceScanRule.INSTANCE,
- PushFilterIntoLegacyTableSourceScanRule.INSTANCE,
// push partition into the table scan
PushPartitionIntoLegacyTableSourceScanRule.INSTANCE,
// push partition into the dynamic table scan
- PushPartitionIntoTableSourceScanRule.INSTANCE
+ PushPartitionIntoTableSourceScanRule.INSTANCE,
Review comment:
My assumption is that the legacy code will be cleaned in future, and so
it will leave one rule each here. Now maybe to classify them separately is more
clear.
##########
File path:
flink-table/flink-table-planner/src/test/scala/org/apache/flink/table/planner/plan/batch/sql/PartitionableSourceTest.scala
##########
@@ -76,30 +98,41 @@ class PartitionableSourceTest(
val catalogPartitionSpec = new CatalogPartitionSpec(partition)
val catalogPartition = new CatalogPartitionImpl(
new java.util.HashMap[String, String](), "")
- catalog.createPartition(mytablePath, catalogPartitionSpec,
catalogPartition, true)
+ catalog.createPartition(
+ partitionableTablePath, catalogPartitionSpec, catalogPartition, true)
+ catalog.createPartition(
+ partitionableAndFilterableTablePath, catalogPartitionSpec,
catalogPartition, true)
})
}
}
@Test
def testSimplePartitionFieldPredicate1(): Unit = {
- util.verifyExecPlan("SELECT * FROM MyTable WHERE part1 = 'A'")
+ util.verifyExecPlan("SELECT * FROM PartitionableTable WHERE part1 = 'A'")
}
@Test
def testPartialPartitionFieldPredicatePushDown(): Unit = {
- util.verifyExecPlan("SELECT * FROM MyTable WHERE (id > 2 OR part1 = 'A')
AND part2 > 1")
+ util.verifyExecPlan(
+ "SELECT * FROM PartitionableTable WHERE (id > 2 OR part1 = 'A') AND
part2 > 1")
}
@Test
def testWithUdfAndVirtualColumn(): Unit = {
util.addFunction("MyUdf", Func1)
- util.verifyExecPlan("SELECT * FROM MyTable WHERE id > 2 AND MyUdf(part2) <
3")
+ util.verifyExecPlan("SELECT * FROM PartitionableTable WHERE id > 2 AND
MyUdf(part2) < 3")
}
@Test
def testUnconvertedExpression(): Unit = {
- util.verifyExecPlan("select * from MyTable where trim(part1) = 'A' and
part2 > 1")
+ util.verifyExecPlan("select * from PartitionableTable where trim(part1) =
'A' and part2 > 1")
+ }
+
+ @Test
+ def testPushDownPartitionAndFiltersContainPartitionKeys(): Unit = {
+ util.verifyExecPlan(
+ "select * from PartitionableAndFilterableTable " +
Review comment:
Just like "select name from PartitionableAndFilterableTable ...(same
with now codes)"?
##########
File path:
flink-table/flink-table-planner/src/test/resources/org/apache/flink/table/planner/plan/nodes/exec/stream/TableSourceJsonPlanTest_jsonplan/testPartitionPushDown.out
##########
@@ -64,7 +61,7 @@
"b" : "INT"
} ]
},
- "description" : "TableSourceScan(table=[[default_catalog,
default_database, PartitionTable, filter=[], partitions=[{p=A}], project=[a,
b], metadata=[]]], fields=[a, b])",
+ "description" : "TableSourceScan(table=[[default_catalog,
default_database, PartitionTable, partitions=[{p=A}], project=[a, b],
metadata=[]]], fields=[a, b])",
Review comment:
The specs will be print each by the order in which they added to the
table source. Now PushDown Partitions will first and partitions info will be
print first. I can add a test case about json plan to verify it when the
filters and partitions are all exist in the table source.
##########
File path:
flink-table/flink-table-planner/src/test/resources/org/apache/flink/table/planner/plan/nodes/exec/stream/TableSourceJsonPlanTest_jsonplan/testPartitionPushDown.out
##########
@@ -64,7 +61,7 @@
"b" : "INT"
} ]
},
- "description" : "TableSourceScan(table=[[default_catalog,
default_database, PartitionTable, filter=[], partitions=[{p=A}], project=[a,
b], metadata=[]]], fields=[a, b])",
+ "description" : "TableSourceScan(table=[[default_catalog,
default_database, PartitionTable, partitions=[{p=A}], project=[a, b],
metadata=[]]], fields=[a, b])",
Review comment:
Sorry, I test some cases and find one bad case when the table source has
a watermark. It will miss the rule in optimize period "predicate_pushdown" and
match the "logical". So PushDownProject will be called first in "logical", and
then PushDownWatermark will be called later in "logical_rewrite", and then
PushDownFilter in "logical_rewrite". The source description just like :
`TableSourceScan(table=[[default_catalog, default_database, TestTable,
project=[a, b, c], metadata=[], watermark=[c], filter=[>(a, 1)]]], fields=[a,
b, c])`
Maybe we need to sort the specs in table source to print them in order if
the order is important.
##########
File path:
flink-table/flink-table-planner/src/test/resources/org/apache/flink/table/planner/plan/nodes/exec/stream/TableSourceJsonPlanTest_jsonplan/testPartitionPushDown.out
##########
@@ -64,7 +61,7 @@
"b" : "INT"
} ]
},
- "description" : "TableSourceScan(table=[[default_catalog,
default_database, PartitionTable, filter=[], partitions=[{p=A}], project=[a,
b], metadata=[]]], fields=[a, b])",
+ "description" : "TableSourceScan(table=[[default_catalog,
default_database, PartitionTable, partitions=[{p=A}], project=[a, b],
metadata=[]]], fields=[a, b])",
Review comment:
Got it! The issue is here [FLINK-24754].
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