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https://issues.apache.org/jira/browse/DRILL-6454?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16506769#comment-16506769
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ASF GitHub Bot commented on DRILL-6454:
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vdiravka opened a new pull request #1314: DRILL-6454: Native MapR DB plugin
support for Hive MapR-DB json table
URL: https://github.com/apache/drill/pull/1314
- The new `StoragePluginOptimizerRule` for reading MapR-DB JSON tables by
Drill native reader is added.
The rule can allow in planning stage to replace `HiveScan` with Drill
native `JsonTableGroupScan`.
- A new system session option is added to use the new rule.
- The common part between `ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan`
and `ConvertHiveParquetScanToDrillParquetScan` are factored out into
`HiveUtilities`.
- Dependency onto `drill-format-mapr` for `hive-core` is added.
Note:
1) The option name for parquet native reader is changed.
2) Changes in MapRDBFormatMatcher.java is just refactoring.
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> Native MapR DB plugin support for Hive MapR-DB json table
> ---------------------------------------------------------
>
> Key: DRILL-6454
> URL: https://issues.apache.org/jira/browse/DRILL-6454
> Project: Apache Drill
> Issue Type: New Feature
> Components: Storage - Hive, Storage - MapRDB
> Affects Versions: 1.13.0
> Reporter: Vitalii Diravka
> Assignee: Vitalii Diravka
> Priority: Major
> Fix For: 1.14.0
>
>
> Hive can create and query MapR-DB tables via maprdb-json-handler:
> https://maprdocs.mapr.com/home/Hive/ConnectingToMapR-DB.html
> The aim of this Jira to implement Drill native reader for Hive MapR-DB tables
> (similar to parquet).
> Design proposal is:
> - to implement new GroupScan operators for interpreting HiveScan as
> MapRDBGroupScan;
> - to add storage planning rule to convert HiveScan to MapRDBGroupScan;
> - to add system/session option to enable using of this native reader;
> - to create a new module for the rule and scan operators, which will be
> compiled and build only for mapr profile (there is no reason to leverage it
> for default profile);
>
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