我用的是
https://www.apache.org/dyn/closer.lua/flink/flink-1.9.1/flink-1.9.1-bin-scala_2.11.tgz
官网下载的
您说的 master 最新的版本我稍后试一下，谢谢
JingsongLee <lzljs3620...@aliyun.com> 于2020年1月14日周二 上午11:51写道：
> 谢谢，
> 你可以试下最新的1.9版本或是1.10或是master吗？因为这里修了一些bug，不确定还存在不。
>
> Best,
> Jingsong Lee
>
> ------------------------------------------------------------------
> From:Kevin Liao <lia...@gmail.com>
> Send Time:2020年1月14日(星期二) 11:38
> To:user-zh <user-zh@flink.apache.org>; JingsongLee <
> lzljs3620...@aliyun.com>
> Subject:Re: blink planner的org.apache.flink.table.api.ValidationException报错
>
> flink 版本是 1.9.1 release
>
> Doc
> 完整不太好给因为涉及到业务信息了，抱歉，但可以给一个片段，这就是一个普通Pojo，里面只有一层，所有类型都是基础类型（及衍生）+String，大约
> 30 多个字段，我理解这跟字段数关系不大
>
> ```
>
> import org.apache.commons.lang3.builder.ToStringBuilder;
> import
> org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonIgnoreProperties;
>
> /**
> * @author liaoxu Date: 2020/1/13 Time: 12:03 下午.
> */
> @JsonIgnoreProperties(ignoreUnknown = true)
> public class Doc {
>
> private String suv;
> private Float factor = 1F;
> private String st;
> private String agentId;
> private Long timestamp;
>
> ... // omit some, omit getters and setters
>
> ```
>
> 希望有帮助，或者您可以在钉钉联系我（钉钉号 ib1x1zy）
>
> JingsongLee <lzljs3620...@aliyun.com.invalid> 于2020年1月14日周二 上午11:25写道：
> Hi Kevin,
>
> 这是什么版本？
> Doc类能完整提供下吗？方便我们复现。
>
> Best,
> Jingsong Lee
>
>
> ------------------------------------------------------------------
> From:Kevin Liao <lia...@gmail.com>
> Send Time:2020年1月13日(星期一) 17:37
> To:user-zh <user-zh@flink.apache.org>
> Subject:blink planner的org.apache.flink.table.api.ValidationException报错
>
> 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
>
>
