Hi,
你的代码里：streamTableEnv.executeSql，它的意思就是已经提交到集群异步的去执行了。
所以你后面 "streamExecutionEnv.execute("from kafka sink hbase")"
并没有真正的物理节点。你不用再调用了。
Best,
Jingsong
On Wed, Jul 8, 2020 at 3:56 PM Zhou Zach <wander...@163.com> wrote:
>
>
>
> 代码结构改成这样的了：
>
>
>
>
> val streamExecutionEnv = StreamExecutionEnvironment.getExecutionEnvironment
>
> val blinkEnvSettings =
> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build()
>
> val streamTableEnv = StreamTableEnvironment.create(streamExecutionEnv,
> blinkEnvSettings)
>
>
>
>
>
> streamExecutionEnv.execute("from kafka sink hbase")
>
>
>
>
> 还是报一样的错
>
>
>
>
>
>
>
>
>
>
>
> 在 2020-07-08 15:40:41，"夏帅" <jkill...@dingtalk.com.INVALID> 写道：
> >你好,
> >可以看看你的代码结构是不是以下这种
> > val bsEnv = StreamExecutionEnvironment.getExecutionEnvironment
> > val bsSettings =
> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build
> > val tableEnv = StreamTableEnvironment.create(bsEnv, bsSettings)
> > ......
> > tableEnv.execute("")
> >如果是的话,可以尝试使用bsEnv.execute("")
> >1.11对于两者的execute代码实现有改动
> >
> >
> >------------------------------------------------------------------
> >发件人：Zhou Zach <wander...@163.com>
> >发送时间：2020年7月8日(星期三) 15:30
> >收件人：Flink user-zh mailing list <user-zh@flink.apache.org>
> >主 题：flink Sql 1.11 executeSql报No operators defined in streaming topology
> >
> >代码在flink
> 1.10.1是可以正常运行的，升级到1.11.0时，提示streamTableEnv.sqlUpdate弃用，改成executeSql了，程序启动2秒后，报异常：
> >Exception in thread "main" java.lang.IllegalStateException: No operators
> defined in streaming topology. Cannot generate StreamGraph.
> >at
> org.apache.flink.table.planner.utils.ExecutorUtils.generateStreamGraph(ExecutorUtils.java:47)
> >at
> org.apache.flink.table.planner.delegation.StreamExecutor.createPipeline(StreamExecutor.java:47)
> >at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.execute(TableEnvironmentImpl.java:1197)
> >at org.rabbit.sql.FromKafkaSinkHbase$.main(FromKafkaSinkHbase.scala:79)
> >at org.rabbit.sql.FromKafkaSinkHbase.main(FromKafkaSinkHbase.scala)
> >
> >
> >但是，数据是正常sink到了hbase，是不是executeSql误报了。。。
> >
> >
> >
> >
> >query：
> >streamTableEnv.executeSql(
> > """
> > |
> > |CREATE TABLE `user` (
> > | uid BIGINT,
> > | sex VARCHAR,
> > | age INT,
> > | created_time TIMESTAMP(3),
> > | WATERMARK FOR created_time as created_time - INTERVAL '3'
> SECOND
> > |) WITH (
> > | 'connector.type' = 'kafka',
> > | 'connector.version' = 'universal',
> > | -- 'connector.topic' = 'user',
> > | 'connector.topic' = 'user_long',
> > | 'connector.startup-mode' = 'latest-offset',
> > | 'connector.properties.group.id' = 'user_flink',
> > | 'format.type' = 'json',
> > | 'format.derive-schema' = 'true'
> > |)
> > |""".stripMargin)
> >
> >
> >
> >
> >
> >
> > streamTableEnv.executeSql(
> > """
> > |
> > |CREATE TABLE user_hbase3(
> > | rowkey BIGINT,
> > | cf ROW(sex VARCHAR, age INT, created_time VARCHAR)
> > |) WITH (
> > | 'connector.type' = 'hbase',
> > | 'connector.version' = '2.1.0',
> > | 'connector.table-name' = 'user_hbase2',
> > | 'connector.zookeeper.znode.parent' = '/hbase',
> > | 'connector.write.buffer-flush.max-size' = '10mb',
> > | 'connector.write.buffer-flush.max-rows' = '1000',
> > | 'connector.write.buffer-flush.interval' = '2s'
> > |)
> > |""".stripMargin)
> >
> >
> > streamTableEnv.executeSql(
> > """
> > |
> > |insert into user_hbase3
> > |SELECT uid,
> > |
> > | ROW(sex, age, created_time ) as cf
> > | FROM (select uid,sex,age, cast(created_time as VARCHAR) as
> created_time from `user`)
> > |
> > |""".stripMargin)
> >
> >
> >
> >
> >
> >
> >
> >
>
--
Best, Jingsong Lee
