Re: Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-23 文章 WeiXubin 
感谢



--
Sent from: http://apache-flink.147419.n8.nabble.com/

Re: Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-23 文章 godfrey he 
hi,
目前没有解决办法，insert job根据sink表名自动生成job name。
后续解法关注 https://issues.apache.org/jira/browse/FLINK-18545

Weixubin <18925434...@163.com> 于2020年7月23日周四 下午6:07写道：

> Hi，
> 我想请教下，使用streamExecutionEnv.execute("from kafka sink hbase") 是可以指定Job的名称。
> 而当改用streamTableEnv.executeSql(sql)的方式时，似乎无法定义Job的名称。
> 请问有什么解决的方法吗？
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> 在 2020-07-08 16:07:17，"Jingsong Li"  写道：
> >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  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"  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 
> >> >发送时间：2020年7月8日(星期三) 15:30
> >> >收件人：Flink user-zh mailing list 
> >> >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
>

Re:Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-23 文章 Weixubin 
Hi，
我想请教下，使用streamExecutionEnv.execute("from kafka sink hbase") 是可以指定Job的名称。
而当改用streamTableEnv.executeSql(sql)的方式时，似乎无法定义Job的名称。
请问有什么解决的方法吗？

















在 2020-07-08 16:07:17，"Jingsong Li"  写道：
>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  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"  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 
>> >发送时间：2020年7月8日(星期三) 15:30
>> >收件人：Flink user-zh mailing list 
>> >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

Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-23 文章 godfrey he 
这个问题的已经有一个issue：https://issues.apache.org/jira/browse/FLINK-18545，请关注

WeiXubin <18925434...@163.com> 于2020年7月23日周四 下午6:00写道：

> Hi，
> 我想请问下使用 streamExecutionEnv.execute("from kafka sink
> hbase")，通过这种方式可以给Job指定名称。
> 而当使用streamTableEnv.executeSql(sql)之后似乎无法给Job定义名称。
> 请问有什么解决方案吗？谢谢
>
>
>
> --
> Sent from: http://apache-flink.147419.n8.nabble.com/
>

Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-23 文章 WeiXubin 
Hi，
我想请问下使用 streamExecutionEnv.execute("from kafka sink
hbase")，通过这种方式可以给Job指定名称。
而当使用streamTableEnv.executeSql(sql)之后似乎无法给Job定义名称。
请问有什么解决方案吗？谢谢



--
Sent from: http://apache-flink.147419.n8.nabble.com/

回复：Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-08 文章 夏帅 
感谢

Re: Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-08 文章 godfrey he 
1.11 对 StreamTableEnvironment.execute()
和 StreamExecutionEnvironment.execute() 的执行方式有所调整，
简单概述为：
1. StreamTableEnvironment.execute() 只能执行 sqlUpdate 和 insertInto 方法执行作业；
2. Table 转化为 DataStream 后只能通过 StreamExecutionEnvironment.execute() 来执行作业；
3. 新引入的 TableEnvironment.executeSql() 方法是直接执行sql作业
(异步提交作业)，不需要再调用 StreamTableEnvironment.execute()
或 StreamExecutionEnvironment.execute()

详细可以参考 [1] [2]

[1]
https://ci.apache.org/projects/flink/flink-docs-release-1.11/zh/dev/table/common.html#%E7%BF%BB%E8%AF%91%E4%B8%8E%E6%89%A7%E8%A1%8C%E6%9F%A5%E8%AF%A2
[2]
https://ci.apache.org/projects/flink/flink-docs-release-1.11/zh/dev/table/common.html#%E5%B0%86%E8%A1%A8%E8%BD%AC%E6%8D%A2%E6%88%90-datastream-%E6%88%96-dataset

Best,
Godfrey

Zhou Zach  于2020年7月8日周三 下午4:19写道：

> 去掉就好了，感谢解答
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> 在 2020-07-08 16:07:17，"Jingsong Li"  写道：
> >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  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"  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 
> >> >发送时间：2020年7月8日(星期三) 15:30
> >> >收件人：Flink user-zh mailing list 
> >> >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

Re:Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-08 文章 Zhou Zach 
去掉就好了，感谢解答

















在 2020-07-08 16:07:17，"Jingsong Li"  写道：
>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  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"  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 
>> >发送时间：2020年7月8日(星期三) 15:30
>> >收件人：Flink user-zh mailing list 
>> >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

Re: 回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-08 文章 Jingsong Li 
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  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"  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 
> >发送时间：2020年7月8日(星期三) 15:30
> >收件人：Flink user-zh mailing list 
> >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

Re:回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-08 文章 Zhou Zach 



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"  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 
>发送时间：2020年7月8日(星期三) 15:30
>收件人：Flink user-zh mailing list 
>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)
>
>
>
>
>
>
>
>

回复：flink Sql 1.11 executeSql报No operators defined in streaming topology

2020-07-08 文章 夏帅 
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 
发送时间：2020年7月8日(星期三) 15:30
收件人：Flink user-zh mailing list 
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)