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https://issues.apache.org/jira/browse/HBASE-15334?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15200346#comment-15200346
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Hudson commented on HBASE-15334:
--------------------------------
FAILURE: Integrated in HBase-Trunk_matrix #785 (See
[https://builds.apache.org/job/HBase-Trunk_matrix/785/])
HBASE-15334 Add avro support for spark hbase connector (Zhan Zhang) (tedyu: rev
2b8a7f8d7b574747081f57fc08483ba37f4c8c54)
*
hbase-spark/src/test/scala/org/apache/hadoop/hbase/spark/DefaultSourceSuite.scala
* hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/DefaultSource.scala
*
hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/SchemaConverters.scala
*
hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/Utils.scala
* hbase-spark/pom.xml
* hbase-spark/src/main/scala/org/apache/spark/sql/datasources/hbase/Utils.scala
*
hbase-spark/src/main/scala/org/apache/spark/sql/datasources/hbase/HBaseTableCatalog.scala
> Add avro support for spark hbase connector
> ------------------------------------------
>
> Key: HBASE-15334
> URL: https://issues.apache.org/jira/browse/HBASE-15334
> Project: HBase
> Issue Type: Sub-task
> Reporter: Zhan Zhang
> Assignee: Zhan Zhang
> Fix For: 2.0.0
>
> Attachments: HBASE-15334-1.patch, HBASE-15334-2.patch,
> HBASE-15334-3.patch, HBASE-15334-4.patch, HBASE-15334-5.patch
>
>
> Avro is a popular format for hbase storage. User may want the support
> natively in the connector.
> With the support, user can save serialized avro into hbase table, and then
> query on top of it using spark sql. The conversion between avro and catalyst
> datatype will be handled automatically. This is one way of support complex
> data types. Otherwise, user has to define their own customized Serdes to
> support complex data types.
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