Posted by
JingsongLee on
Jan 14, 2020; 3:51am
URL: http://apache-flink.370.s1.nabble.com/blink-planner-org-apache-flink-table-api-ValidationException-tp1492p1504.html
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 <
[hidden email]>
Send Time:2020年1月14日(星期二) 11:38
To:user-zh <
[hidden email]>; JingsongLee <
[hidden email]>
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 <
[hidden email]> 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 <
[hidden email]>
Send Time:2020年1月13日(星期一) 17:37
To:user-zh <
[hidden email]>
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