Apple CloudKit uses FoundationDB Record Layer

Together, the Record Layer and FoundationDB form the backbone of Apple’s CloudKit. We wrote a paper describing how we built the Record Layer to run at massive scale and how CloudKit uses it. Today, you can read the preprint to learn more.

From an anonymous FoundationDB blog post introducing relational database capabilities built atop FoundationDB’s key-value store. The paper about CloudKit (PDF) is also worth a read. CloudKit is Apple’s free at any legitimate scale back-end as a service for all iOS and MacOS apps.

Introducing bsuite_speedcache

I wrote bsuite_speedcache to reduce the number of database queries I was executing per page load. By implementing it on some of the content in my sidebar, I dropped 35 queries for each cache hit. That might not seem like much, but it should average about 525 queries per minute that that my host server […] » about 300 words

Doing Relevance Ranked Full-Text Searches In MySQL

I’m going out on a limb to say MySQL’s full-text indexing and searching features are underused. They appeared in MySQL 3.23.23 (most people are using 4.x, and 5 is in development), but it’s been news to most of the people I know.

Here’s the deal, the MATCH() function can search a full-text index for a string of text (one or more words) and return relevance-ranked results. It’s at the core of the list of related links at the bottom of every post here.

For that query, I put all the tag names into a single variable that might look like this:

$keywords = “mysql database php select full-text search full-text searching docs documentation”

Then I do a select that looks something like this:

SELECT * FROM wp_posts WHERE MATCH(post_title,post_content) AGAINST(‘$keywords’);

The docs give a lot more detail, including how to do boolean searches.