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From "Jiajia Li (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HBASE-11144) Filter to support scan multiple row key ranges
Date Fri, 09 Jan 2015 06:12:35 GMT

     [ https://issues.apache.org/jira/browse/HBASE-11144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jiajia Li updated HBASE-11144:
------------------------------
    Attachment: HBASE_11144_V12.patch

Thanks [~tedyu] for your comments, I've update the patch(V12). 

> Filter to support scan multiple row key ranges
> ----------------------------------------------
>
>                 Key: HBASE-11144
>                 URL: https://issues.apache.org/jira/browse/HBASE-11144
>             Project: HBase
>          Issue Type: Improvement
>          Components: Filters
>            Reporter: Jiajia Li
>            Assignee: Jiajia Li
>         Attachments: HBASE_11144_4.patch, HBASE_11144_V10.patch, HBASE_11144_V11.patch,
HBASE_11144_V12.patch, HBASE_11144_V5.patch, HBASE_11144_V6.patch, HBASE_11144_V7.patch, HBASE_11144_V9.patch,
MultiRowRangeFilter.patch, MultiRowRangeFilter2.patch, MultiRowRangeFilter3.patch, hbase_11144_V8.patch
>
>
> HBase is quite efficient when scanning only one small row key range. If user needs to
specify multiple row key ranges in one scan, the typical solutions are: 1. through FilterList
which is a list of row key Filters, 2. using the SQL layer over HBase to join with two table,
such as hive, phoenix etc. However, both solutions are inefficient. Both of them can’t utilize
the range info to perform fast forwarding during scan which is quite time consuming. If the
number of ranges are quite big (e.g. millions), join is a proper solution though it is slow.
However, there are cases that user wants to specify a small number of ranges to scan (e.g.
<1000 ranges). Both solutions can’t provide satisfactory performance in such case. 
> We provide this filter (MultiRowRangeFilter) to support such use case (scan multiple
row key ranges), which can construct the row key ranges from user specified list and perform
fast-forwarding during scan. Thus, the scan will be quite efficient. 



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