tEnv.connect(new Kafka()
.version("universal")
.topic("xxx")
.startFromLatest()
.property("bootstrap.servers",
"xxxx")
.property("group.id", "xxxx"))
.withFormat(new Json().failOnMissingField(false).deriveSchema())
.withSchema(new Schema()
// .field("logger_name", Types.STRING)
// .field("host", Types.STRING)
// .field("@timestamp", Types.SQL_TIMESTAMP)
// .field("_rowtime", Types.SQL_TIMESTAMP)
// .rowtime(
// new
Rowtime().timestampsFromField("@timestamp").watermarksPeriodicBounded(1000))
.field("doc", Types.POJO(Doc.class))
)
.inAppendMode()
.registerTableSource("xxx");
Table result = tEnv.sqlQuery(
"SELECT doc.xxx1, doc.xxx2, ... , doc.xxxN as seq FROM xxx");
// result.printSchema();
tEnv.toAppendStream(result,
new TupleTypeInfo<>(STRING, STRING, STRING, STRING, STRING,
STRING, STRING, STRING,
STRING, STRING, BOOLEAN, LONG, STRING, STRING, STRING,
STRING, STRING, STRING,
STRING, LONG, STRING, INT, STRING, INT)).print();
以上代码在 flink planner 下可以运行，但切换到 blink planner 则报错如下：
、、、
Exception in thread "main"
org.apache.flink.table.api.ValidationException: Type
LEGACY(PojoType<com.sogou.qidian.Doc, fields = [（。。。。// 省略）]>) of
table field 'doc' does not match with type
PojoType<com.sogou.qidian.Doc, fields = [(。。。。//省略)]> of the field
'doc' of the TableSource return type.
at
org.apache.flink.table.planner.sources.TableSourceUtil$$anonfun$4.apply(TableSourceUtil.scala:121)
at
org.apache.flink.table.planner.sources.TableSourceUtil$$anonfun$4.apply(TableSourceUtil.scala:92)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
at
org.apache.flink.table.planner.sources.TableSourceUtil$.computeIndexMapping(TableSourceUtil.scala:92)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecTableSourceScan.translateToPlanInternal(StreamExecTableSourceScan.scala:100)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecTableSourceScan.translateToPlanInternal(StreamExecTableSourceScan.scala:55)
at
org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:54)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecTableSourceScan.translateToPlan(StreamExecTableSourceScan.scala:55)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:86)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:46)
at
org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:54)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlan(StreamExecCalc.scala:46)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToTransformation(StreamExecSink.scala:185)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:154)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:50)
at
org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:54)
at
org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:50)
at
org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:61)
at
org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:60)
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.StreamPlanner.translateToPlan(StreamPlanner.scala:60)
at
org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:149)
at
org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.java:319)
at
org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toAppendStream(StreamTableEnvironmentImpl.java:227)
at com.sogou.qidian.BatchJob.main(BatchJob.java:83)
Execution failed for task ':BatchJob.main()'.
> Process 'command '/Users/liaoxu/.sdkman/candidates/java/current/bin/java''
> finished with non-zero exit value 1
、、、
仔细比对了报错日志里两个 Doc类型是相同的
谢谢
