[
https://issues.apache.org/jira/browse/HIVE-27278?focusedWorklogId=858889&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-858889
]
ASF GitHub Bot logged work on HIVE-27278:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Apr/23 10:12
Start Date: 25/Apr/23 10:12
Worklog Time Spent: 10m
Work Description: zabetak commented on code in PR #4253:
URL: https://github.com/apache/hive/pull/4253#discussion_r1176303967
##########
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveRemoveEmptySingleRules.java:
##########
@@ -192,6 +178,79 @@ public interface JoinRightEmptyRuleConfig extends
PruneEmptyRule.Config {
}
}
+ private static RelNode padWithNulls(RelBuilder builder, RelNode input,
RelDataType resultType,
+ boolean leftPadding) {
+ int padding = resultType.getFieldCount() -
input.getRowType().getFieldCount();
+ List<RexNode> nullLiterals = Collections.nCopies(padding,
builder.literal(null));
+ builder.push(input);
+ if (leftPadding) {
+ builder.project(concat(nullLiterals, builder.fields()));
+ } else {
+ builder.project(concat(builder.fields(), nullLiterals));
+ }
+ return builder.convert(resultType, true).build();
+ }
+
+ public static final RelOptRule CORRELATE_RIGHT_INSTANCE =
RelRule.Config.EMPTY
+ .withOperandSupplier(b0 ->
+ b0.operand(Correlate.class).inputs(
+ b1 -> b1.operand(RelNode.class).anyInputs(),
+ b2 ->
b2.operand(Values.class).predicate(Values::isEmpty).noInputs()))
+ .withDescription("PruneEmptyCorrelate(right)")
+ .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
+ .as(CorrelateEmptyRuleConfig.class)
+ .toRule();
+ public static final RelOptRule CORRELATE_LEFT_INSTANCE = RelRule.Config.EMPTY
+ .withOperandSupplier(b0 ->
+ b0.operand(Correlate.class).inputs(
+ b1 ->
b1.operand(Values.class).predicate(Values::isEmpty).noInputs(),
+ b2 -> b2.operand(RelNode.class).anyInputs()))
+ .withDescription("PruneEmptyCorrelate(left)")
+ .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
+ .as(CorrelateEmptyRuleConfig.class)
+ .toRule();
+
+ /** Configuration for rule that prunes a correlate if one of its inputs is
empty. */
+ public interface CorrelateEmptyRuleConfig extends PruneEmptyRule.Config {
Review Comment:
If split in separate classes we would have to duplicate the following
fragment:
```
@Override
default PruneEmptyRule toRule() {
return new PruneEmptyRule(this) {
@Override
public void onMatch(RelOptRuleCall call) {
if (Bug.CALCITE_5669_FIXED) {
throw new IllegalStateException(
"Class is redundant after fix is merged into Calcite");
}
final Correlate corr = call.rel(0);
final RelNode left = call.rel(1);
final RelNode right = call.rel(2);
final RelNode newRel;
RelBuilder b = call.builder();
```
Don't have a strong opinion on this; let me know what you prefer and will do
the refactoring.
##########
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveRemoveEmptySingleRules.java:
##########
@@ -192,6 +178,79 @@ public interface JoinRightEmptyRuleConfig extends
PruneEmptyRule.Config {
}
}
+ private static RelNode padWithNulls(RelBuilder builder, RelNode input,
RelDataType resultType,
+ boolean leftPadding) {
+ int padding = resultType.getFieldCount() -
input.getRowType().getFieldCount();
+ List<RexNode> nullLiterals = Collections.nCopies(padding,
builder.literal(null));
+ builder.push(input);
+ if (leftPadding) {
+ builder.project(concat(nullLiterals, builder.fields()));
+ } else {
+ builder.project(concat(builder.fields(), nullLiterals));
+ }
+ return builder.convert(resultType, true).build();
+ }
+
+ public static final RelOptRule CORRELATE_RIGHT_INSTANCE =
RelRule.Config.EMPTY
+ .withOperandSupplier(b0 ->
+ b0.operand(Correlate.class).inputs(
+ b1 -> b1.operand(RelNode.class).anyInputs(),
+ b2 ->
b2.operand(Values.class).predicate(Values::isEmpty).noInputs()))
+ .withDescription("PruneEmptyCorrelate(right)")
+ .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
+ .as(CorrelateEmptyRuleConfig.class)
+ .toRule();
+ public static final RelOptRule CORRELATE_LEFT_INSTANCE = RelRule.Config.EMPTY
+ .withOperandSupplier(b0 ->
+ b0.operand(Correlate.class).inputs(
+ b1 ->
b1.operand(Values.class).predicate(Values::isEmpty).noInputs(),
+ b2 -> b2.operand(RelNode.class).anyInputs()))
+ .withDescription("PruneEmptyCorrelate(left)")
+ .withRelBuilderFactory(HiveRelFactories.HIVE_BUILDER)
+ .as(CorrelateEmptyRuleConfig.class)
+ .toRule();
+
+ /** Configuration for rule that prunes a correlate if one of its inputs is
empty. */
+ public interface CorrelateEmptyRuleConfig extends PruneEmptyRule.Config {
Review Comment:
If split in separate classes we would have to duplicate the following
fragment:
```java
@Override
default PruneEmptyRule toRule() {
return new PruneEmptyRule(this) {
@Override
public void onMatch(RelOptRuleCall call) {
if (Bug.CALCITE_5669_FIXED) {
throw new IllegalStateException(
"Class is redundant after fix is merged into Calcite");
}
final Correlate corr = call.rel(0);
final RelNode left = call.rel(1);
final RelNode right = call.rel(2);
final RelNode newRel;
RelBuilder b = call.builder();
```
Don't have a strong opinion on this; let me know what you prefer and will do
the refactoring.
Issue Time Tracking
-------------------
Worklog Id: (was: 858889)
Time Spent: 1h 20m (was: 1h 10m)
> Simplify correlated queries with empty inputs
> ---------------------------------------------
>
> Key: HIVE-27278
> URL: https://issues.apache.org/jira/browse/HIVE-27278
> Project: Hive
> Issue Type: Bug
> Components: CBO
> Reporter: Stamatis Zampetakis
> Assignee: Stamatis Zampetakis
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> The correlated query below will not produce any result no matter the content
> of the table.
> {code:sql}
> create table t1 (id int, val varchar(10)) stored as orc TBLPROPERTIES
> ('transactional'='true');
> create table t2 (id int, val varchar(10)) stored as orc TBLPROPERTIES
> ('transactional'='true');
> EXPLAIN CBO SELECT id FROM t1 WHERE NULL IN (SELECT NULL FROM t2 where t1.id
> = t2.id);
> {code}
> The CBO is able to derive that part of the query is empty and ends up with
> the following plan.
> {noformat}
> CBO PLAN:
> HiveProject(id=[$0])
> LogicalCorrelate(correlation=[$cor0], joinType=[semi], requiredColumns=[{}])
> HiveTableScan(table=[[default, t1]], table:alias=[t1])
> HiveValues(tuples=[[]])
> {noformat}
> The presence of LogicalCorrelate is first redundant but also problematic
> since many parts of the optimizer assume that queries are decorrelated and do
> not know how to handle the LogicalCorrelate.
> In the presence of views the same query can lead to the following exception
> during compilation.
> {code:sql}
> CREATE MATERIALIZED VIEW v1 AS SELECT id FROM t2;
> EXPLAIN CBO SELECT id FROM t1 WHERE NULL IN (SELECT NULL FROM t2 where t1.id
> = t2.id);
> {code}
> {noformat}
> org.apache.calcite.plan.RelOptPlanner$CannotPlanException: There are not
> enough rules to produce a node with desired properties: convention=HIVE,
> sort=[], dist=any. All the inputs have relevant nodes, however the cost is
> still infinite.
> Root: rel#185:RelSubset#3.HIVE.[].any
> Original rel:
> HiveProject(id=[$0]): rowcount = 4.0, cumulative cost = {20.0 rows, 13.0 cpu,
> 0.0 io}, id = 178
> LogicalCorrelate(correlation=[$cor0], joinType=[semi],
> requiredColumns=[{}]): rowcount = 4.0, cumulative cost = {16.0 rows, 9.0 cpu,
> 0.0 io}, id = 176
> HiveTableScan(table=[[default, t1]], table:alias=[t1]): rowcount = 4.0,
> cumulative cost = {4.0 rows, 5.0 cpu, 0.0 io}, id = 111
> HiveValues(tuples=[[]]): rowcount = 1.0, cumulative cost = {1.0 rows, 1.0
> cpu, 0.0 io}, id = 139
> Sets:
> Set#0, type: RecordType(INTEGER id, VARCHAR(10) val, BIGINT
> BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME,
> RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN
> ROW__IS__DELETED)
> rel#180:RelSubset#0.HIVE.[].any, best=rel#111
> rel#111:HiveTableScan.HIVE.[].any(table=[default,
> t1],htColumns=[0, 1, 2, 3, 4,
> 5],insideView=false,plKey=default.t1;,table:alias=t1,tableScanTrait=null),
> rowcount=4.0, cumulative cost={4.0 rows, 5.0 cpu, 0.0 io}
> Set#1, type: RecordType(NULL _o__c0)
> rel#181:RelSubset#1.HIVE.[].any, best=rel#139
> rel#139:HiveValues.HIVE.[].any(type=RecordType(NULL
> _o__c0),tuples=[]), rowcount=1.0, cumulative cost={1.0 rows, 1.0 cpu, 0.0 io}
> Set#2, type: RecordType(INTEGER id, VARCHAR(10) val, BIGINT
> BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME,
> RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN
> ROW__IS__DELETED)
> rel#183:RelSubset#2.NONE.[].any, best=null
>
> rel#182:LogicalCorrelate.NONE.[].any(left=RelSubset#180,right=RelSubset#181,correlation=$cor0,joinType=semi,requiredColumns={}),
> rowcount=4.0, cumulative cost={inf}
> Set#3, type: RecordType(INTEGER id)
> rel#185:RelSubset#3.HIVE.[].any, best=null
>
> rel#184:HiveProject.HIVE.[].any(input=RelSubset#183,inputs=0,synthetic=false),
> rowcount=4.0, cumulative cost={inf}
> Graphviz:
> digraph G {
> root [style=filled,label="Root"];
> subgraph cluster0{
> label="Set 0 RecordType(INTEGER id, VARCHAR(10) val, BIGINT
> BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME,
> RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN
> ROW__IS__DELETED)";
> rel111 [label="rel#111:HiveTableScan\ntable=[default,
> t1],htColumns=[0, 1, 2, 3, 4,
> 5],insideView=false,plKey=default.t1;,table:alias=t1,tableScanTrait=null\nrows=4.0,
> cost={4.0 rows, 5.0 cpu, 0.0 io}",color=blue,shape=box]
> subset180 [label="rel#180:RelSubset#0.HIVE.[].any"]
> }
> subgraph cluster1{
> label="Set 1 RecordType(NULL _o__c0)";
> rel139 [label="rel#139:HiveValues\ntype=RecordType(NULL
> _o__c0),tuples=[]\nrows=1.0, cost={1.0 rows, 1.0 cpu, 0.0
> io}",color=blue,shape=box]
> subset181 [label="rel#181:RelSubset#1.HIVE.[].any"]
> }
> subgraph cluster2{
> label="Set 2 RecordType(INTEGER id, VARCHAR(10) val, BIGINT
> BLOCK__OFFSET__INSIDE__FILE, VARCHAR(2147483647) INPUT__FILE__NAME,
> RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid) ROW__ID, BOOLEAN
> ROW__IS__DELETED)";
> rel182
> [label="rel#182:LogicalCorrelate\nleft=RelSubset#180,right=RelSubset#181,correlation=$cor0,joinType=semi,requiredColumns={}\nrows=4.0,
> cost={inf}",shape=box]
> subset183 [label="rel#183:RelSubset#2.NONE.[].any"]
> }
> subgraph cluster3{
> label="Set 3 RecordType(INTEGER id)";
> rel184
> [label="rel#184:HiveProject\ninput=RelSubset#183,inputs=0,synthetic=false\nrows=4.0,
> cost={inf}",shape=box]
> subset185 [label="rel#185:RelSubset#3.HIVE.[].any"]
> }
> root -> subset185;
> subset180 -> rel111[color=blue];
> subset181 -> rel139[color=blue];
> subset183 -> rel182; rel182 -> subset180[label="0"]; rel182 ->
> subset181[label="1"];
> subset185 -> rel184; rel184 -> subset183;
> }
> at
> org.apache.calcite.plan.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:742)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.calcite.plan.volcano.RelSubset.buildCheapestPlan(RelSubset.java:365)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:520)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.CalcitePlanner$CalcitePlannerAction.applyMaterializedViewRewriting(CalcitePlanner.java:2058)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.CalcitePlanner$CalcitePlannerAction.apply(CalcitePlanner.java:1722)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.CalcitePlanner$CalcitePlannerAction.apply(CalcitePlanner.java:1591)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.calcite.tools.Frameworks.lambda$withPlanner$0(Frameworks.java:131)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.calcite.prepare.CalcitePrepareImpl.perform(CalcitePrepareImpl.java:914)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.calcite.tools.Frameworks.withPrepare(Frameworks.java:180)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.calcite.tools.Frameworks.withPlanner(Frameworks.java:126)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.CalcitePlanner.logicalPlan(CalcitePlanner.java:1343)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.CalcitePlanner.genOPTree(CalcitePlanner.java:570)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:12820)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.CalcitePlanner.analyzeInternal(CalcitePlanner.java:465)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:326)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.ExplainSemanticAnalyzer.analyzeInternal(ExplainSemanticAnalyzer.java:180)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:326)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.Compiler.analyze(Compiler.java:224)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.Compiler.compile(Compiler.java:107)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:519)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:471)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.Driver.compileAndRespond(Driver.java:436)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.Driver.compileAndRespond(Driver.java:430)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.reexec.ReExecDriver.compileAndRespond(ReExecDriver.java:121)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.reexec.ReExecDriver.run(ReExecDriver.java:227)
> ~[hive-exec-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:257)
> ~[hive-cli-4.0.0-SNAPSHOT.jar:?]
> at org.apache.hadoop.hive.cli.CliDriver.processCmd1(CliDriver.java:201)
> ~[hive-cli-4.0.0-SNAPSHOT.jar:?]
> at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:127)
> ~[hive-cli-4.0.0-SNAPSHOT.jar:?]
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:425)
> ~[hive-cli-4.0.0-SNAPSHOT.jar:?]
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:356)
> ~[hive-cli-4.0.0-SNAPSHOT.jar:?]
> at
> org.apache.hadoop.hive.ql.QTestUtil.executeClientInternal(QTestUtil.java:733)
> ~[hive-it-util-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.ql.QTestUtil.executeClient(QTestUtil.java:703)
> ~[hive-it-util-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.cli.control.CoreCliDriver.runTest(CoreCliDriver.java:115)
> ~[hive-it-util-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.cli.control.CliAdapter.runTest(CliAdapter.java:157)
> ~[hive-it-util-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at
> org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver(TestMiniLlapLocalCliDriver.java:62)
> ~[test-classes/:?]
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> ~[?:1.8.0_261]
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> ~[?:1.8.0_261]
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> ~[?:1.8.0_261]
> at java.lang.reflect.Method.invoke(Method.java:498) ~[?:1.8.0_261]
> at
> org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:59)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:56)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.apache.hadoop.hive.cli.control.CliAdapter$2$1.evaluate(CliAdapter.java:135)
> ~[hive-it-util-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.junit.runners.ParentRunner$3.evaluate(ParentRunner.java:306)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.junit.runners.BlockJUnit4ClassRunner$1.evaluate(BlockJUnit4ClassRunner.java:100)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:366)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:103)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:63)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$4.run(ParentRunner.java:331)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:79)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:329)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.access$100(ParentRunner.java:66)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:293)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.run(ParentRunner.java:413)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.Suite.runChild(Suite.java:128)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.Suite.runChild(Suite.java:27)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$4.run(ParentRunner.java:331)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:79)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:329)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.access$100(ParentRunner.java:66)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:293)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.apache.hadoop.hive.cli.control.CliAdapter$1$1.evaluate(CliAdapter.java:95)
> ~[hive-it-util-4.0.0-SNAPSHOT.jar:4.0.0-SNAPSHOT]
> at org.junit.rules.RunRules.evaluate(RunRules.java:20)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner$3.evaluate(ParentRunner.java:306)
> ~[junit-4.13.2.jar:4.13.2]
> at org.junit.runners.ParentRunner.run(ParentRunner.java:413)
> ~[junit-4.13.2.jar:4.13.2]
> at
> org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:365)
> ~[surefire-junit4-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:273)
> ~[surefire-junit4-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:238)
> ~[surefire-junit4-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:159)
> ~[surefire-junit4-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:377)
> ~[surefire-booter-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.booter.ForkedBooter.execute(ForkedBooter.java:138)
> ~[surefire-booter-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.booter.ForkedBooter.run(ForkedBooter.java:465)
> ~[surefire-booter-3.0.0-M4.jar:3.0.0-M4]
> at
> org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:451)
> ~[surefire-booter-3.0.0-M4.jar:3.0.0-M4]
> {noformat}
> The goal of this ticket is to get rid of the redundant correlation to avoid
> compilation failures but also for unlocking further simplifications and
> improving plan readability.
> The plan can be simplified further based on the following observations.
> If the right side of the correlate is empty then the whole correlate is empty
> when joinType is SEMI/INNER. Moreover if correlate type is LEFT then we can
> also drop the correlate and use t1 padded with nulls for the right side.
> Lastly, if the type is ANTI then result is the entire t1 so the correlate can
> also be dropped. RIGHT and FULL correlations are invalid and should never
> appear in the plan.
> If the left side of the correlate is empty the result is empty and the
> correlation can be dropped for every legal joinType (INNER/SEMI/ANTI/LEFT).
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
