Details
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Bug
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Status: Closed
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Major
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Resolution: Cannot Reproduce
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1.11.0
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None
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The input data is:
2015-02-15 10:15:00.0|1|paint|10
2015-02-15 10:24:15.0|2|paper|5
2015-02-15 10:24:45.0|3|brush|12
2015-02-15 10:58:00.0|4|paint|3
2015-02-15 11:10:00.0|5|paint|3
Description
The whole error is:
Caused by: org.apache.flink.table.api.ValidationException: Type TIMESTAMP(6) of table field 'rowtime' does not match with the physical type TIMESTAMP(3) of the 'rowtime' field of the TableSink consumed type. at org.apache.flink.table.utils.TypeMappingUtils.lambda$checkPhysicalLogicalTypeCompatible$5(TypeMappingUtils.java:178) at org.apache.flink.table.utils.TypeMappingUtils$1.defaultMethod(TypeMappingUtils.java:300) at org.apache.flink.table.utils.TypeMappingUtils$1.defaultMethod(TypeMappingUtils.java:267) at org.apache.flink.table.types.logical.utils.LogicalTypeDefaultVisitor.visit(LogicalTypeDefaultVisitor.java:132) at org.apache.flink.table.types.logical.TimestampType.accept(TimestampType.java:152) at org.apache.flink.table.utils.TypeMappingUtils.checkIfCompatible(TypeMappingUtils.java:267) at org.apache.flink.table.utils.TypeMappingUtils.checkPhysicalLogicalTypeCompatible(TypeMappingUtils.java:174) at org.apache.flink.table.planner.sinks.TableSinkUtils$$anonfun$validateLogicalPhysicalTypesCompatible$1.apply$mcVI$sp(TableSinkUtils.scala:368) at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160) at org.apache.flink.table.planner.sinks.TableSinkUtils$.validateLogicalPhysicalTypesCompatible(TableSinkUtils.scala:361) at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:209) at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:204) at scala.Option.map(Option.scala:146) at org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:204) at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:163) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1249) at org.apache.flink.table.api.internal.TableEnvironmentImpl.translateAndClearBuffer(TableEnvironmentImpl.java:1241) at org.apache.flink.table.api.bridge.java.internal.StreamTableEnvironmentImpl.getPipeline(StreamTableEnvironmentImpl.java:317) at com.ververica.flink.table.gateway.context.ExecutionContext.createPipeline(ExecutionContext.java:223) at com.ververica.flink.table.gateway.operation.SelectOperation.lambda$null$0(SelectOperation.java:225) at com.ververica.flink.table.gateway.deployment.DeploymentUtil.wrapHadoopUserNameIfNeeded(DeploymentUtil.java:48) at com.ververica.flink.table.gateway.operation.SelectOperation.lambda$executeQueryInternal$1(SelectOperation.java:220) at com.ververica.flink.table.gateway.context.ExecutionContext.wrapClassLoaderWithException(ExecutionContext.java:197) at com.ververica.flink.table.gateway.operation.SelectOperation.executeQueryInternal(SelectOperation.java:219) ... 48 more
I run the sql by sql-gateway.
When I run it in a batch environment, the sql run well and can produce the result of "2015-02-15T10:00:00|4\n2015-02-15T11:00:00|1". But change to the streaming environment, the errors come.
The sql is:
select floor(rowtime to hour) as rowtime, count as c from orders group by floor(rowtime to hour)
The table query is:
CREATE TABLE `orders` (
rowtime TIMESTAMP,
id INT,
product VARCHAR,
units INT
) WITH (
'format.field-delimiter'='|',
'connector.type'='filesystem',
'format.derive-schema'='true',
'connector.path'='/daily_regression_stream_blink_sql_1.10/test_agg/sources/orders.csv',
'format.type'='csv'
)
or query is:
CREATE TABLE `orders` (
rowtime TIMESTAMP,
id INT,
product VARCHAR,
units INT
) WITH (
'connector'='filesystem',
'csv.field-delimiter'='|',
'path'='/defender_test_data/daily_regression_stream_blink_sql_1.10/test_agg/sources/orders.csv',
'csv.null-literal'='',
'format'='csv'
)