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https://issues.apache.org/jira/browse/HIVE-5687?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wuchang updated HIVE-5687:
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Description:
Implement support for Streaming data into HIVE.
- Provide a client streaming API
- Transaction support: Clients should be able to periodically commit a batch
of records atomically
- Immediate visibility: Records should be immediately visible to queries on
commit
- Should not overload HDFS with too many small files
Use Cases:
- Streaming logs `into HIVE via Flume
- Streaming results of computations from Storm
was:
Implement support for Streaming data into HIVE.
- Provide a client streaming API
- Transaction support: Clients should be able to periodically commit a batch of
records atomically
- Immediate visibility: Records should be immediately visible to queries on
commit
- Should not overload HDFS with too many small files
Use Cases:
- Streaming logs into HIVE via Flume
- Streaming results of computations from Storm
> Streaming support in Hive
> -------------------------
>
> Key: HIVE-5687
> URL: https://issues.apache.org/jira/browse/HIVE-5687
> Project: Hive
> Issue Type: Sub-task
> Reporter: Roshan Naik
> Assignee: Roshan Naik
> Priority: Major
> Labels: ACID, Streaming
> Fix For: 0.13.0
>
> Attachments: 5687-api-spec4.pdf, 5687-draft-api-spec.pdf,
> 5687-draft-api-spec2.pdf, 5687-draft-api-spec3.pdf,
> HIVE-5687-unit-test-fix.patch, HIVE-5687.patch, HIVE-5687.v2.patch,
> HIVE-5687.v3.patch, HIVE-5687.v4.patch, HIVE-5687.v5.patch,
> HIVE-5687.v6.patch, HIVE-5687.v7.patch, Hive Streaming Ingest API for v3
> patch.pdf, Hive Streaming Ingest API for v4 patch.pdf, package.html
>
>
> Implement support for Streaming data into HIVE.
> - Provide a client streaming API
> - Transaction support: Clients should be able to periodically commit a batch
> of records atomically
> - Immediate visibility: Records should be immediately visible to queries on
> commit
> - Should not overload HDFS with too many small files
> Use Cases:
> - Streaming logs `into HIVE via Flume
> - Streaming results of computations from Storm
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