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Monday, April 7 • 2:00pm - 2:50pm
Hindex: Secondary indexes for faster HBase queries

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 HBase is a very popular data store due to its tight integration with Hadoop. However, query latencies can sometimes be high, specially when scanning tables on column values. This can also have other undesirable side effects - like timeouts at client, or lease expires. Hindex adds secondary indexes for HBase tables. The indexes are used for equals and range condition scans, and can turn full table scans to point/range scans. Hindex is 100% server-side solution based on co-processors and supports one or more indexes on a table, multi-column index, and also index based on part of a column value. Hindex stores region level index in a separate table, and colocates the user and index table regions with a custom load balancer.
In this session, we will learn in detail the new capability this adds to HBase, and will also dive into technical details of the implementation.

Speakers
RC

Rajeshbabu Chintaguntla

Software Engineer, Huawel
Rajesh is committer for Apache HBase. He is a Software Engineer with Huawei in their Bangalore R&D Center, and works on enhancment and stabilization of HBase to meet needs of Telco customers. His recent focus has been the development of secondary indexes, which Huawei recently open sourced.


Monday April 7, 2014 2:00pm - 2:50pm
Confluence A

Attendees (8)