[
https://issues.apache.org/jira/browse/FLINK-14042?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yuval Itzchakov updated FLINK-14042:
------------------------------------
Description:
Given the following table called "foo":
{code:java}
SELECT event_time, b, c
FROM X
WHERE event_time >= <START_TIME> AND event_time <END_TIME>{code}
And the following temporal table definition defined on "foo":
{code:java}
SELECT event_time, b, COLLECT(c) c
FROM foo
GROUP BY event_time, b{code}
I get the following exception:
{code:java}
Exception in thread "main" java.lang.AssertionError: Cannot add expression of
different type to set:Exception in thread "main" java.lang.AssertionError:
Cannot add expression of different type to set:set type is
RecordType(TIMESTAMP(3) NOT NULL event_time, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" b, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" c0, TIMESTAMP(3) NOT NULL
event_time0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" b0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" MULTISET c) NOT NULLexpression type is
RecordType(TIMESTAMP(3) NOT NULL event_time, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" b, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" c0, TIMESTAMP(3) NOT NULL
event_time0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" b0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" MULTISET NOT NULL c) NOT NULL
set is
rel#17:LogicalCorrelate.NONE(left=HepRelVertex#15,right=HepRelVertex#16,correlation=$cor0,joinType=inner,requiredColumns={0})expression
is LogicalTemporalTableJoin#23 at
org.apache.calcite.plan.RelOptUtil.verifyTypeEquivalence(RelOptUtil.java:380)
at org.apache.calcite.plan.hep.HepRuleCall.transformTo(HepRuleCall.java:57) at
org.apache.calcite.plan.RelOptRuleCall.transformTo(RelOptRuleCall.java:234) at
org.apache.flink.table.plan.rules.logical.LogicalCorrelateToTemporalTableJoinRule.onMatch(LogicalCorrelateToTemporalTableJoinRule.scala:111)
at
org.apache.calcite.plan.AbstractRelOptPlanner.fireRule(AbstractRelOptPlanner.java:315)
at org.apache.calcite.plan.hep.HepPlanner.applyRule(HepPlanner.java:556) at
org.apache.calcite.plan.hep.HepPlanner.applyRules(HepPlanner.java:415) at
org.apache.calcite.plan.hep.HepPlanner.executeInstruction(HepPlanner.java:280)
at
org.apache.calcite.plan.hep.HepInstruction$RuleCollection.execute(HepInstruction.java:74)
at org.apache.calcite.plan.hep.HepPlanner.executeProgram(HepPlanner.java:211)
at org.apache.calcite.plan.hep.HepPlanner.findBestExp(HepPlanner.java:198) at
org.apache.flink.table.api.TableEnvironment.runHepPlanner(TableEnvironment.scala:360)
at
org.apache.flink.table.api.TableEnvironment.runHepPlannerSimultaneously(TableEnvironment.scala:344)
at
org.apache.flink.table.api.TableEnvironment.optimizeExpandPlan(TableEnvironment.scala:270)
at
org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:809)
at
org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:351)
at
org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:879)
at org.apache.flink.table.api.Table.insertInto(table.scala:1148)
{code}
Digging into the table planner, it appears that when the temporal table is
being registered, it goes through `FlinkTypeFactory.buildLogicalRowType`, which
uses the following code:
{code:java}
def buildLogicalRowType(
fieldNames: Seq[String],
fieldTypes: Seq[TypeInformation[_]])
: RelDataType = {
val logicalRowTypeBuilder = builder
val fields = fieldNames.zip(fieldTypes)
fields.foreach(f => {
// time indicators are not nullable
val nullable = !FlinkTypeFactory.isTimeIndicatorType(f._2)
logicalRowTypeBuilder.add(f._1, createTypeFromTypeInfo(f._2, nullable))
})
logicalRowTypeBuilder.build
}
{code}
We can see here that `nullable` is derived from `isTimeIndicatorType` method.
On the other hand, when registering the table that uses the
TemporalTableFunction in the query, this resolves through
`FlinkTableFunctionImpl.getRowType`, which doesn't look up the time indicator
flags at all and sets all fields to be nullable:
{code:java}
override def getRowType(typeFactory: RelDataTypeFactory,
arguments: util.List[AnyRef]): RelDataType = {
val flinkTypeFactory = typeFactory.asInstanceOf[FlinkTypeFactory]
val builder = flinkTypeFactory.builder
fieldNames
.zip(fieldTypes)
.foreach { f =>
builder.add(f._1, flinkTypeFactory.createTypeFromTypeInfo(f._2,
isNullable = true))
}
builder.build
}
{code}
This creates a diff between the original schema registered and the inferred
schema for usage, which results in the above exception.
I haven't tried this for other complex types, but it seems like this should
happen for any advanced type which wasn't nullable to begin with.
was:
Given the following table called "foo":
{code:java}
SELECT event_time, b, c
FROM X
WHERE event_time >= <START_TIME> AND event_time <END_TIME>{code}
And the following temporal table definition defined on "foo":
{code:java}
SELECT a, b, COLLECT(c) c
FROM foo
GROUP BY a, b{code}
I get the following exception:
{code:java}
Exception in thread "main" java.lang.AssertionError: Cannot add expression of
different type to set:Exception in thread "main" java.lang.AssertionError:
Cannot add expression of different type to set:set type is
RecordType(TIMESTAMP(3) NOT NULL event_time, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" b, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" c0, TIMESTAMP(3) NOT NULL
event_time0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" b0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" MULTISET c) NOT NULLexpression type is
RecordType(TIMESTAMP(3) NOT NULL event_time, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" b, VARCHAR(65536) CHARACTER SET
"UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" c0, TIMESTAMP(3) NOT NULL
event_time0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" b0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
"ISO-8859-1$en_US$primary" MULTISET NOT NULL c) NOT NULL
set is
rel#17:LogicalCorrelate.NONE(left=HepRelVertex#15,right=HepRelVertex#16,correlation=$cor0,joinType=inner,requiredColumns={0})expression
is LogicalTemporalTableJoin#23 at
org.apache.calcite.plan.RelOptUtil.verifyTypeEquivalence(RelOptUtil.java:380)
at org.apache.calcite.plan.hep.HepRuleCall.transformTo(HepRuleCall.java:57) at
org.apache.calcite.plan.RelOptRuleCall.transformTo(RelOptRuleCall.java:234) at
org.apache.flink.table.plan.rules.logical.LogicalCorrelateToTemporalTableJoinRule.onMatch(LogicalCorrelateToTemporalTableJoinRule.scala:111)
at
org.apache.calcite.plan.AbstractRelOptPlanner.fireRule(AbstractRelOptPlanner.java:315)
at org.apache.calcite.plan.hep.HepPlanner.applyRule(HepPlanner.java:556) at
org.apache.calcite.plan.hep.HepPlanner.applyRules(HepPlanner.java:415) at
org.apache.calcite.plan.hep.HepPlanner.executeInstruction(HepPlanner.java:280)
at
org.apache.calcite.plan.hep.HepInstruction$RuleCollection.execute(HepInstruction.java:74)
at org.apache.calcite.plan.hep.HepPlanner.executeProgram(HepPlanner.java:211)
at org.apache.calcite.plan.hep.HepPlanner.findBestExp(HepPlanner.java:198) at
org.apache.flink.table.api.TableEnvironment.runHepPlanner(TableEnvironment.scala:360)
at
org.apache.flink.table.api.TableEnvironment.runHepPlannerSimultaneously(TableEnvironment.scala:344)
at
org.apache.flink.table.api.TableEnvironment.optimizeExpandPlan(TableEnvironment.scala:270)
at
org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:809)
at
org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:351)
at
org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:879)
at org.apache.flink.table.api.Table.insertInto(table.scala:1148)
{code}
Digging into the table planner, it appears that when the temporal table is
being registered, it goes through `FlinkTypeFactory.buildLogicalRowType`, which
uses the following code:
{code:java}
def buildLogicalRowType(
fieldNames: Seq[String],
fieldTypes: Seq[TypeInformation[_]])
: RelDataType = {
val logicalRowTypeBuilder = builder
val fields = fieldNames.zip(fieldTypes)
fields.foreach(f => {
// time indicators are not nullable
val nullable = !FlinkTypeFactory.isTimeIndicatorType(f._2)
logicalRowTypeBuilder.add(f._1, createTypeFromTypeInfo(f._2, nullable))
})
logicalRowTypeBuilder.build
}
{code}
We can see here that `nullable` is derived from `isTimeIndicatorType` method.
On the other hand, when registering the table that uses the
TemporalTableFunction in the query, this resolves through
`FlinkTableFunctionImpl.getRowType`, which doesn't look up the time indicator
flags at all and sets all fields to be nullable:
{code:java}
override def getRowType(typeFactory: RelDataTypeFactory,
arguments: util.List[AnyRef]): RelDataType = {
val flinkTypeFactory = typeFactory.asInstanceOf[FlinkTypeFactory]
val builder = flinkTypeFactory.builder
fieldNames
.zip(fieldTypes)
.foreach { f =>
builder.add(f._1, flinkTypeFactory.createTypeFromTypeInfo(f._2,
isNullable = true))
}
builder.build
}
{code}
This creates a diff between the original schema registered and the inferred
schema for usage, which results in the above exception.
I haven't tried this for other complex types, but it seems like this should
happen for any advanced type which wasn't nullable to begin with.
> Different RelDataTypes generated for same TemporalTableFunction
> ---------------------------------------------------------------
>
> Key: FLINK-14042
> URL: https://issues.apache.org/jira/browse/FLINK-14042
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 1.8.1
> Reporter: Yuval Itzchakov
> Priority: Major
>
> Given the following table called "foo":
> {code:java}
> SELECT event_time, b, c
> FROM X
> WHERE event_time >= <START_TIME> AND event_time <END_TIME>{code}
> And the following temporal table definition defined on "foo":
> {code:java}
> SELECT event_time, b, COLLECT(c) c
> FROM foo
> GROUP BY event_time, b{code}
> I get the following exception:
> {code:java}
> Exception in thread "main" java.lang.AssertionError: Cannot add expression of
> different type to set:Exception in thread "main" java.lang.AssertionError:
> Cannot add expression of different type to set:set type is
> RecordType(TIMESTAMP(3) NOT NULL event_time, VARCHAR(65536) CHARACTER SET
> "UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" b, VARCHAR(65536) CHARACTER SET
> "UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" c0, TIMESTAMP(3) NOT NULL
> event_time0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
> "ISO-8859-1$en_US$primary" b0, VARCHAR(65536) CHARACTER SET "UTF-16LE"
> COLLATE "ISO-8859-1$en_US$primary" MULTISET c) NOT NULLexpression type is
> RecordType(TIMESTAMP(3) NOT NULL event_time, VARCHAR(65536) CHARACTER SET
> "UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" b, VARCHAR(65536) CHARACTER SET
> "UTF-16LE" COLLATE "ISO-8859-1$en_US$primary" c0, TIMESTAMP(3) NOT NULL
> event_time0, VARCHAR(65536) CHARACTER SET "UTF-16LE" COLLATE
> "ISO-8859-1$en_US$primary" b0, VARCHAR(65536) CHARACTER SET "UTF-16LE"
> COLLATE "ISO-8859-1$en_US$primary" MULTISET NOT NULL c) NOT NULL
> set is
> rel#17:LogicalCorrelate.NONE(left=HepRelVertex#15,right=HepRelVertex#16,correlation=$cor0,joinType=inner,requiredColumns={0})expression
> is LogicalTemporalTableJoin#23 at
> org.apache.calcite.plan.RelOptUtil.verifyTypeEquivalence(RelOptUtil.java:380)
> at org.apache.calcite.plan.hep.HepRuleCall.transformTo(HepRuleCall.java:57)
> at
> org.apache.calcite.plan.RelOptRuleCall.transformTo(RelOptRuleCall.java:234)
> at
> org.apache.flink.table.plan.rules.logical.LogicalCorrelateToTemporalTableJoinRule.onMatch(LogicalCorrelateToTemporalTableJoinRule.scala:111)
> at
> org.apache.calcite.plan.AbstractRelOptPlanner.fireRule(AbstractRelOptPlanner.java:315)
> at org.apache.calcite.plan.hep.HepPlanner.applyRule(HepPlanner.java:556) at
> org.apache.calcite.plan.hep.HepPlanner.applyRules(HepPlanner.java:415) at
> org.apache.calcite.plan.hep.HepPlanner.executeInstruction(HepPlanner.java:280)
> at
> org.apache.calcite.plan.hep.HepInstruction$RuleCollection.execute(HepInstruction.java:74)
> at
> org.apache.calcite.plan.hep.HepPlanner.executeProgram(HepPlanner.java:211) at
> org.apache.calcite.plan.hep.HepPlanner.findBestExp(HepPlanner.java:198) at
> org.apache.flink.table.api.TableEnvironment.runHepPlanner(TableEnvironment.scala:360)
> at
> org.apache.flink.table.api.TableEnvironment.runHepPlannerSimultaneously(TableEnvironment.scala:344)
> at
> org.apache.flink.table.api.TableEnvironment.optimizeExpandPlan(TableEnvironment.scala:270)
> at
> org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:809)
> at
> org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:351)
> at
> org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:879)
> at org.apache.flink.table.api.Table.insertInto(table.scala:1148)
> {code}
> Digging into the table planner, it appears that when the temporal table is
> being registered, it goes through `FlinkTypeFactory.buildLogicalRowType`,
> which uses the following code:
> {code:java}
> def buildLogicalRowType(
> fieldNames: Seq[String],
> fieldTypes: Seq[TypeInformation[_]])
> : RelDataType = {
> val logicalRowTypeBuilder = builder
> val fields = fieldNames.zip(fieldTypes)
> fields.foreach(f => {
> // time indicators are not nullable
> val nullable = !FlinkTypeFactory.isTimeIndicatorType(f._2)
> logicalRowTypeBuilder.add(f._1, createTypeFromTypeInfo(f._2, nullable))
> })
> logicalRowTypeBuilder.build
> }
> {code}
> We can see here that `nullable` is derived from `isTimeIndicatorType` method.
> On the other hand, when registering the table that uses the
> TemporalTableFunction in the query, this resolves through
> `FlinkTableFunctionImpl.getRowType`, which doesn't look up the time indicator
> flags at all and sets all fields to be nullable:
> {code:java}
> override def getRowType(typeFactory: RelDataTypeFactory,
> arguments: util.List[AnyRef]): RelDataType = {
> val flinkTypeFactory = typeFactory.asInstanceOf[FlinkTypeFactory]
> val builder = flinkTypeFactory.builder
> fieldNames
> .zip(fieldTypes)
> .foreach { f =>
> builder.add(f._1, flinkTypeFactory.createTypeFromTypeInfo(f._2,
> isNullable = true))
> }
> builder.build
> }
> {code}
> This creates a diff between the original schema registered and the inferred
> schema for usage, which results in the above exception.
> I haven't tried this for other complex types, but it seems like this should
> happen for any advanced type which wasn't nullable to begin with.
>
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