[jira] [Commented] (BAHIR-228) Flink SQL supports kudu sink
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https://issues.apache.org/jira/browse/BAHIR-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17080315#comment-17080315
]
Gyula Fora commented on BAHIR-228:
--
Hi!
cc [~mbalassi]
Thanks for opening this Jira ticket. We have been working on complete Table/SQL
api support for the Kudu connector including some refactorings and other
improvements. We have started a discussion on the ML already and a PR should
follow in the next couple of days :)
> Flink SQL supports kudu sink
>
>
> Key: BAHIR-228
> URL: https://issues.apache.org/jira/browse/BAHIR-228
> Project: Bahir
> Issue Type: New Feature
> Components: Flink Streaming Connectors
>Reporter: dalongliu
>Priority: Major
>
> currently, for Flink-1.10.0, we can use the catalog to store our stream table
> sink for kudu, it should exist a kudu table sink so we can register it to
> catalog, and use kudu as a table in SQL environment.
> we can use kudu table sink like this:
> {code:java}
> KuduOptions options = KuduOptions.builder()
> .setKuduMaster(kuduMaster)
> .setTableName(kuduTable)
> .build();
> KuduWriterOptions writerOptions = KuduWriterOptions.builder()
> .setWriteMode(KuduWriterMode.UPSERT)
> .setFlushMode(FlushMode.AUTO_FLUSH_BACKGROUND)
> .build();
> KuduTableSink tableSink = KuduTableSink.builder()
> .setOptions(options)
> .setWriterOptions(writerOptions)
> .setTableSchema(schema)
> .build();
> tEnv.registerTableSink("kudu", tableSink);
> tEnv.sqlUpdate("insert into kudu select * from source");
> {code}
> I have used kudu table sink to sync data in company's production environment,
> the writing speed at 5w/s in upsert mode
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[jira] [Commented] (BAHIR-228) Flink SQL supports kudu sink
[
https://issues.apache.org/jira/browse/BAHIR-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17100443#comment-17100443
]
dalongliu commented on BAHIR-228:
-
Ok, thanks, how soon can we see it?
> Flink SQL supports kudu sink
>
>
> Key: BAHIR-228
> URL: https://issues.apache.org/jira/browse/BAHIR-228
> Project: Bahir
> Issue Type: New Feature
> Components: Flink Streaming Connectors
>Reporter: dalongliu
>Priority: Major
>
> currently, for Flink-1.10.0, we can use the catalog to store our stream table
> sink for kudu, it should exist a kudu table sink so we can register it to
> catalog, and use kudu as a table in SQL environment.
> we can use kudu table sink like this:
> {code:java}
> KuduOptions options = KuduOptions.builder()
> .setKuduMaster(kuduMaster)
> .setTableName(kuduTable)
> .build();
> KuduWriterOptions writerOptions = KuduWriterOptions.builder()
> .setWriteMode(KuduWriterMode.UPSERT)
> .setFlushMode(FlushMode.AUTO_FLUSH_BACKGROUND)
> .build();
> KuduTableSink tableSink = KuduTableSink.builder()
> .setOptions(options)
> .setWriterOptions(writerOptions)
> .setTableSchema(schema)
> .build();
> tEnv.registerTableSink("kudu", tableSink);
> tEnv.sqlUpdate("insert into kudu select * from source");
> {code}
> I have used kudu table sink to sync data in company's production environment,
> the writing speed at 5w/s in upsert mode
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[jira] [Commented] (BAHIR-228) Flink SQL supports kudu sink
[
https://issues.apache.org/jira/browse/BAHIR-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17100552#comment-17100552
]
Gyula Fora commented on BAHIR-228:
--
Hi [~lsy]
We have opened a PR with the Table/SQL support features:
[https://github.com/apache/bahir-flink/pull/78]
You can build it locally and try it out already!
> Flink SQL supports kudu sink
>
>
> Key: BAHIR-228
> URL: https://issues.apache.org/jira/browse/BAHIR-228
> Project: Bahir
> Issue Type: New Feature
> Components: Flink Streaming Connectors
>Reporter: dalongliu
>Priority: Major
>
> currently, for Flink-1.10.0, we can use the catalog to store our stream table
> sink for kudu, it should exist a kudu table sink so we can register it to
> catalog, and use kudu as a table in SQL environment.
> we can use kudu table sink like this:
> {code:java}
> KuduOptions options = KuduOptions.builder()
> .setKuduMaster(kuduMaster)
> .setTableName(kuduTable)
> .build();
> KuduWriterOptions writerOptions = KuduWriterOptions.builder()
> .setWriteMode(KuduWriterMode.UPSERT)
> .setFlushMode(FlushMode.AUTO_FLUSH_BACKGROUND)
> .build();
> KuduTableSink tableSink = KuduTableSink.builder()
> .setOptions(options)
> .setWriterOptions(writerOptions)
> .setTableSchema(schema)
> .build();
> tEnv.registerTableSink("kudu", tableSink);
> tEnv.sqlUpdate("insert into kudu select * from source");
> {code}
> I have used kudu table sink to sync data in company's production environment,
> the writing speed at 5w/s in upsert mode
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[jira] [Commented] (BAHIR-228) Flink SQL supports kudu sink
[
https://issues.apache.org/jira/browse/BAHIR-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17166625#comment-17166625
]
João Boto commented on BAHIR-228:
-
closing this as its already merged
> Flink SQL supports kudu sink
>
>
> Key: BAHIR-228
> URL: https://issues.apache.org/jira/browse/BAHIR-228
> Project: Bahir
> Issue Type: New Feature
> Components: Flink Streaming Connectors
>Reporter: dalongliu
>Assignee: dalongliu
>Priority: Major
> Fix For: Flink-Next
>
>
> currently, for Flink-1.10.0, we can use the catalog to store our stream table
> sink for kudu, it should exist a kudu table sink so we can register it to
> catalog, and use kudu as a table in SQL environment.
> we can use kudu table sink like this:
> {code:java}
> KuduOptions options = KuduOptions.builder()
> .setKuduMaster(kuduMaster)
> .setTableName(kuduTable)
> .build();
> KuduWriterOptions writerOptions = KuduWriterOptions.builder()
> .setWriteMode(KuduWriterMode.UPSERT)
> .setFlushMode(FlushMode.AUTO_FLUSH_BACKGROUND)
> .build();
> KuduTableSink tableSink = KuduTableSink.builder()
> .setOptions(options)
> .setWriterOptions(writerOptions)
> .setTableSchema(schema)
> .build();
> tEnv.registerTableSink("kudu", tableSink);
> tEnv.sqlUpdate("insert into kudu select * from source");
> {code}
> I have used kudu table sink to sync data in company's production environment,
> the writing speed at 5w/s in upsert mode
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