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https://issues.apache.org/jira/browse/CARBONDATA-3680?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Indhumathi Muthumurugesh updated CARBONDATA-3680:
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Description:
Currently we have datamaps like, *default datamaps* which are block and
blocklet and *coarse grained datamaps* like bloom, and *fine grained datamaps*
like lucene
which helps in better pruning during query. What if we introduce another kind
of datamap which can hold blockletId as index? Initial level, we call it as
index which
will work as a child table to the main table like we have MV in our current
code.
Yes, lets introduce the secondary index to carbon table which will be the child
table to main table and it can be created on column like we create lucene
datamap,
where we give index columns to create index. In a similar way, we create
secondary index on column, so indexes on these column will be blocklet IDs
which will
help in better pruning and faster query when we have a filter query on the
index column.
> Support secondary index on carbon table
> ---------------------------------------
>
> Key: CARBONDATA-3680
> URL: https://issues.apache.org/jira/browse/CARBONDATA-3680
> Project: CarbonData
> Issue Type: New Feature
> Reporter: Indhumathi Muthumurugesh
> Priority: Major
>
> Currently we have datamaps like, *default datamaps* which are block and
> blocklet and *coarse grained datamaps* like bloom, and *fine grained
> datamaps* like lucene
> which helps in better pruning during query. What if we introduce another kind
> of datamap which can hold blockletId as index? Initial level, we call it as
> index which
> will work as a child table to the main table like we have MV in our current
> code.
> Yes, lets introduce the secondary index to carbon table which will be the
> child table to main table and it can be created on column like we create
> lucene datamap,
> where we give index columns to create index. In a similar way, we create
> secondary index on column, so indexes on these column will be blocklet IDs
> which will
> help in better pruning and faster query when we have a filter query on the
> index column.
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