Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
384 views
in Technique[技术] by (71.8m points)

iphone - sqlite Indexing Performance Advice

I have an sqlite database in my iPhone app that I access via the Core Data framework. I'm using NSPredicates to query the database.

I am building a search function that needs to search six different varchar fields that contain text. At the moment, it's very slow and I need to improve performance, probably in the sqlite database. Would it be best to create an index on all those columns? Or would it be better to build a custom index table that expands those six columns into multiple rows, each containing a word and the ID it matches? Any other suggestions?

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

There are things you can do to improve the performance of searching for text in sqlite databases. Although Core Data abstracts you away from the underlying store it can be good to have an appreciation of what is going on when your store is backed using sqlite.

If we assume you're doing a substring search of these fields there are things you can do to improve search performance. Apple recommend using a derived properties. This amounts to maintaining a normalised version of your property in your model that is used for searching. The derived property should be done in a way that it can be indexed. You then express your search in terms of this derived property using binary operators > <= etc.

I found doing this reduced our search from around 1 second to under 100ms.

To make things clear I would suggest looking at the ADC example http://developer.apple.com/mac/library/samplecode/DerivedProperty/


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...