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Mike Wingert commented on HBASE-15320: -------------------------------------- Hi Stack, Thank you for the pointer. Using a public API is a much better idea, I'll update my patch. > HBase connector for Kafka Connect > --------------------------------- > > Key: HBASE-15320 > URL: https://issues.apache.org/jira/browse/HBASE-15320 > Project: HBase > Issue Type: New Feature > Components: Replication > Reporter: Andrew Purtell > Assignee: Mike Wingert > Priority: Major > Labels: beginner > Fix For: 3.0.0 > > Attachments: HBASE-15320.master.1.patch, HBASE-15320.master.10.patch, > HBASE-15320.master.2.patch, HBASE-15320.master.3.patch, > HBASE-15320.master.4.patch, HBASE-15320.master.5.patch, > HBASE-15320.master.6.patch, HBASE-15320.master.7.patch, > HBASE-15320.master.8.patch, HBASE-15320.master.8.patch, > HBASE-15320.master.9.patch, HBASE-15320.pdf, HBASE-15320.pdf > > > Implement an HBase connector with source and sink tasks for the Connect > framework (http://docs.confluent.io/2.0.0/connect/index.html) available in > Kafka 0.9 and later. > See also: > http://www.confluent.io/blog/announcing-kafka-connect-building-large-scale-low-latency-data-pipelines > An HBase source > (http://docs.confluent.io/2.0.0/connect/devguide.html#task-example-source-task) > could be implemented as a replication endpoint or WALObserver, publishing > cluster wide change streams from the WAL to one or more topics, with > configurable mapping and partitioning of table changes to topics. > An HBase sink task > (http://docs.confluent.io/2.0.0/connect/devguide.html#sink-tasks) would > persist, with optional transformation (JSON? Avro?, map fields to native > schema?), Kafka SinkRecords into HBase tables. -- This message was sent by Atlassian JIRA (v7.6.3#76005)