解决了，原因是我同时实现了createTableSink和createStreamTableSink导致
删掉createTableSink就可以了
> 2020年7月14日 上午10:50，admin <17626017...@163.com> 写道：
>
> hi all，
> 我自定义了一个sql
> connector，在本地idea里面是调试通过的，数据能正常写入，但是整个flink编译之后，用编译后的包在本地起了standalone集群，在sql-cli中运行报错如下
> 2020-07-14 10:36:29,148 WARN org.apache.flink.table.client.cli.CliClient
> [] - Could not execute SQL statement.
> org.apache.flink.table.client.gateway.SqlExecutionException: Invalid SQL
> update statement.
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.applyUpdate(LocalExecutor.java:698)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.executeUpdateInternal(LocalExecutor.java:576)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.executeUpdate(LocalExecutor.java:527)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.cli.CliClient.callInsert(CliClient.java:551)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.cli.CliClient.callCommand(CliClient.java:299)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at java.util.Optional.ifPresent(Optional.java:159) [?:1.8.0_251]
> at org.apache.flink.table.client.cli.CliClient.open(CliClient.java:200)
> [flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at org.apache.flink.table.client.SqlClient.openCli(SqlClient.java:125)
> [flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at org.apache.flink.table.client.SqlClient.start(SqlClient.java:104)
> [flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at org.apache.flink.table.client.SqlClient.main(SqlClient.java:178)
> [flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> Caused by: scala.MatchError: null
> at
> org.apache.flink.table.planner.sinks.TableSinkUtils$.inferSinkPhysicalSchema(TableSinkUtils.scala:165)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.sinks.TableSinkUtils$.validateLogicalPhysicalTypesCompatible(TableSinkUtils.scala:305)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:194)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:190)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.Option.map(Option.scala:146)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:190)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:150)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:150)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> ~[flink-dist_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:150)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:767)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:571)
> ~[flink-table-blink_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.sqlUpdate(StreamTableEnvironmentImpl.java:341)
> ~[flink-table-api-java-bridge_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$applyUpdate$17(LocalExecutor.java:691)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.gateway.local.ExecutionContext.wrapClassLoader(ExecutionContext.java:246)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> at
> org.apache.flink.table.client.gateway.local.LocalExecutor.applyUpdate(LocalExecutor.java:689)
> ~[flink-sql-client_2.11-1.11-SNAPSHOT.jar:1.11-SNAPSHOT]
> ... 9 more
> flink版本1.10.1 blink planner
> 测试的sql为：
> Flink SQL> CREATE TABLE prometheus_table (value DOUBLE )WITH
> ('connector.type' = 'prometheus','connector.job' =
> 'testJob','connector.metrics' = 'testMetrics','connector.address' =
> 'localhost:9091');
> Flink SQL> insert into prometheus_table select cast(100.01 as double) as
> value;
> 看报错的地方应该是
> def inferSinkPhysicalSchema(
> queryLogicalType: RowType,
> sink: TableSink[_]): TableSchema = {
> val withChangeFlag = sink match {
> case _: RetractStreamTableSink[_] | _: UpsertStreamTableSink[_] => true
> case _: StreamTableSink[_] => false
> case dsts: DataStreamTableSink[_] => dsts.withChangeFlag
> }
> inferSinkPhysicalSchema(sink.getConsumedDataType, queryLogicalType,
> withChangeFlag)
> }
> sink没有match到，但是我的tablesink是实现了AppendStreamTableSink的
> 想远程debug调试一下，按照网上的方法[1]也没成功
>
> 大佬们有没有什么思路指导一下。感谢
>
> [1]https://blog.csdn.net/xianzhen376/article/details/80117637
> <https://blog.csdn.net/xianzhen376/article/details/80117637>
