swuferhong commented on code in PR #21489:
URL: https://github.com/apache/flink/pull/21489#discussion_r1064235043
##########
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/utils/DynamicPartitionPruningUtils.java:
##########
@@ -45,153 +52,177 @@
import org.apache.calcite.rel.core.JoinRelType;
import org.apache.calcite.rel.core.Project;
import org.apache.calcite.rel.core.TableScan;
+import org.apache.calcite.rel.core.Union;
+import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rex.RexCall;
import org.apache.calcite.rex.RexInputRef;
import org.apache.calcite.rex.RexNode;
import org.apache.calcite.rex.RexProgram;
import org.apache.calcite.util.ImmutableIntList;
import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
/** Planner utils for Dynamic partition Pruning. */
public class DynamicPartitionPruningUtils {
- /**
- * For the input join node, judge whether the join left side and join
right side meet the
- * requirements of dynamic partition pruning. Fact side in left or right
join is not clear.
- */
- public static boolean supportDynamicPartitionPruning(Join join) {
- return supportDynamicPartitionPruning(join, true)
- || supportDynamicPartitionPruning(join, false);
- }
-
- /**
- * For the input join node, judge whether the join left side and join
right side meet the
- * requirements of dynamic partition pruning. Fact side in left or right
is clear. If meets the
- * requirements, return true.
- */
- public static boolean supportDynamicPartitionPruning(Join join, boolean
factInLeft) {
- if (!ShortcutUtils.unwrapContext(join)
- .getTableConfig()
-
.get(OptimizerConfigOptions.TABLE_OPTIMIZER_DYNAMIC_FILTERING_ENABLED)) {
- return false;
- }
- // Now dynamic partition pruning supports left/right join, inner and
semi join. but now semi
- // join can not join reorder.
- if (join.getJoinType() == JoinRelType.LEFT) {
- if (factInLeft) {
- return false;
- }
- } else if (join.getJoinType() == JoinRelType.RIGHT) {
- if (!factInLeft) {
- return false;
- }
- } else if (join.getJoinType() != JoinRelType.INNER
- && join.getJoinType() != JoinRelType.SEMI) {
- return false;
- }
-
- JoinInfo joinInfo = join.analyzeCondition();
- if (joinInfo.leftKeys.isEmpty()) {
- return false;
- }
- RelNode left = join.getLeft();
- RelNode right = join.getRight();
-
- // TODO Now fact side and dim side don't support many complex
patterns, like join inside
- // fact/dim side, agg inside fact/dim side etc. which will support
next.
- return factInLeft
- ? isDynamicPartitionPruningPattern(left, right,
joinInfo.leftKeys)
- : isDynamicPartitionPruningPattern(right, left,
joinInfo.rightKeys);
- }
-
- private static boolean isDynamicPartitionPruningPattern(
- RelNode factSide, RelNode dimSide, ImmutableIntList
factSideJoinKey) {
- return isDimSide(dimSide) && isFactSide(factSide, factSideJoinKey);
- }
-
- /** make a dpp fact side factor to recurrence in fact side. */
- private static boolean isFactSide(RelNode rel, ImmutableIntList joinKeys) {
- DppFactSideFactors factSideFactors = new DppFactSideFactors();
- visitFactSide(rel, factSideFactors, joinKeys);
- return factSideFactors.isFactSide();
- }
-
/**
* Judge whether input RelNode meets the conditions of dimSide. If
joinKeys is null means we
* need not consider the join keys in dim side, which already deal by
dynamic partition pruning
* rule. If joinKeys not null means we need to judge whether joinKeys
changed in dim side, if
* changed, this RelNode is not dim side.
*/
- private static boolean isDimSide(RelNode rel) {
+ public static boolean isDimSide(RelNode rel) {
DppDimSideFactors dimSideFactors = new DppDimSideFactors();
visitDimSide(rel, dimSideFactors);
return dimSideFactors.isDimSide();
}
- /**
- * Visit fact side to judge whether fact side has partition table,
partition table source meets
- * the condition of dpp table source and dynamic filtering keys changed in
fact side.
- */
- private static void visitFactSide(
- RelNode rel, DppFactSideFactors factSideFactors, ImmutableIntList
joinKeys) {
+ public static Tuple2<Boolean, RelNode> canConvertAndConvertDppFactSide(
+ RelNode rel,
+ ImmutableIntList joinKeys,
+ RelNode dimSide,
+ ImmutableIntList dimSideJoinKey) {
+ DppFactSideFactors factSideFactors = new DppFactSideFactors();
Review Comment:
> ditto
Done!
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