Full-Text Search

Kendra Little gives the scoop on full-text indexing:

The “dirty little secret” about full-text search indexes is that they don’t help with ‘%blabla%’ predicates.

Well, it’s not a secret, it’s right there in the documentation.

A lot of us get the impression that full-text search is designed to handle “full wildcard” searches, probably just because of the name. “Full-Text Searches” sounds like it means “All The Searches”. But that’s not actually what it means.

Kendra’s take is a bit more optimistic than mine; I’m definitely more inclined to dump text out to a Lucene-based indexing system (like Solr or ElasticSearch), as they’ll typically perform faster and solve problems that full-text cannot.  Some of that may just be that I was never very good at full-text indexing, though.

Related Posts

Unused Indexes Might Not Be

Tara Kizer has a warning for people eager to drop “unused” indexes: About 10 years ago, I decided to drop an unused index on a table that had 2 billion rows. The database was around 7TB in size. We were having storage and performance issues. I thought I could help the system out if I […]

Read More

Hybrid Columnstore And B+ Tree Designs

Adrian Colyer reviews a Microsoft paper on the combination of columnstore and B+ tree indexes on a single table: The authors conducted a series of microbenchmarks as follows: scans with single predicates with varying selectivity to study the trade-off between the range scan of a B+ tree vs a columnstore scan sort and group-by queries […]

Read More

Categories

February 2017
MTWTFSS
« Jan Mar »
 12345
6789101112
13141516171819
20212223242526
2728