[CASSANDRA-2915] Lucene based Secondary Indexes

• Type: New Feature
• Status: Resolved
• Priority: Normal
• Resolution: Won't Fix
• Component/s: Feature/2i Index
• Labels: secondary_index
• Assignee: Unassigned
• Reporter: T Jake Luciani
• Created: 18/Jul/11 18:04
• Updated: 16/Apr/19 09:32
• Resolved: 05/Jan/16 19:32

Description

Secondary indexes (of type KEYS) suffer from a number of limitations in their current form:

• Multiple IndexClauses only work when there is a subset of rows under the highest clause
• One new column family is created per index this means 10 new CFs for 10 secondary indexes

This ticket will use the Lucene library to implement secondary indexes as one index per CF, and utilize the Lucene query engine to handle multiple index clauses. Also, by using the Lucene we get a highly optimized file format.

There are a few parallels we can draw between Cassandra and Lucene.

Lucene indexes segments in memory then flushes them to disk so we can sync our memtable flushes to lucene flushes. Lucene also has optimize() which correlates to our compaction process, so these can be sync'd as well.

We will also need to correlate column validators to Lucene tokenizers, so the data can be stored properly, the big win in once this is done we can perform complex queries within a column like wildcard searches.

The downside of this approach is we will need to read before write since documents in Lucene are written as complete documents. For random workloads with lot's of indexed columns this means we need to read the document from the index, update it and write it back.

Issue Links

• incorporates: CASSANDRA-1684 Entity groups
• is blocked by: CASSANDRA-2982 Refactor secondary index api
• is depended upon by: CASSANDRA-1598 Add Boolean Expression to secondary querying
• is depended upon by: CASSANDRA-1599 Add sort/order support for secondary indexing
• is superceded by: CASSANDRA-10661 Integrate SASI to Cassandra
• relates to: LUCENE-2312 Search on IndexWriter's RAM Buffer
• relates to: CASSANDRA-3249 Index search in provided set of rows (support of sub query)