而这个定义在old planner里是可以用的
On Thu, 17 Oct 2019 at 19:49, Zijie Lu <[email protected]> wrote:
> 我使用blink planner来定义了下面的表
> CREATE TABLE requests(
> `rowtime` TIMESTAMP,
> `requestId` VARCHAR,
> `algoExtent` ROW(`mAdId` VARCHAR))
> with (
> 'connector.type' = 'kafka',
> 'connector.version' = 'universal',
> 'connector.topic' = 'test_request',
> 'connector.startup-mode' = 'latest-offset',
> 'connector.properties.0.key' = 'zookeeper.connect',
> 'connector.properties.0.value' = '10.107.116.42:2181',
> 'connector.properties.1.key' = 'bootstrap.servers',
> 'connector.properties.1.value' = '10.107.116.42:9092',
> 'connector.properties.2.key' = 'group.id',
> 'connector.properties.2.value' = 'test_request',
> 'update-mode' = 'append','format.type' = 'json',
> 'format.derive-schema' = 'true',
> 'schema.0.rowtime.timestamps.type' = 'from-field',
> 'schema.0.rowtime.timestamps.from' = 'sqlTimestamp',
> 'schema.0.rowtime.watermarks.type' = 'periodic-ascending')
> 然后kafka里消息的格式如下
> {"requestId": "rrrr","algoExtent": {"duration": 12,"adType ":
> "FEED_568_320","mAdId": "1910141050233527", "sqlTimestamp":"2019-10-17
> 19:08:01" }}
> 但是运行时报错
> Caused by:
> org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException:
> Could not forward element to next operator
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:654)
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:612)
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:592)
> at
> org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:727)
> at
> org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:705)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollectWithTimestamp(StreamSourceContexts.java:310)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collectWithTimestamp(StreamSourceContexts.java:409)
> at
> org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.emitRecordWithTimestamp(AbstractFetcher.java:398)
> at
> org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.emitRecord(KafkaFetcher.java:185)
> at
> org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:150)
> at
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:715)
> at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
> at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
> at
> org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:202)
> Caused by:
> org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException:
> Could not forward element to next operator
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:654)
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:612)
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:592)
> at
> org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:727)
> at
> org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:705)
> at SourceConversion$4.processElement(Unknown Source)
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:637)
> ... 13 more
> Caused by: java.lang.NullPointerException
> at
> org.apache.flink.table.dataformat.GenericRow.getLong(GenericRow.java:58)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.PeriodicWatermarkAssignerWrapper.extractTimestamp(StreamExecTableSourceScan.scala:202)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.PeriodicWatermarkAssignerWrapper.extractTimestamp(StreamExecTableSourceScan.scala:194)
> at
> org.apache.flink.streaming.runtime.operators.TimestampsAndPeriodicWatermarksOperator.processElement(TimestampsAndPeriodicWatermarksOperator.java:64)
> at
> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:637)
> ... 19 more
> 请问在blink里应该如何定义rowtime呢？
>
