Emergency

Search Results for: single threaded

Q&A: Geographical disaster recovery with Percona Replication Manager

My December 4 webinar, “Geographical disaster recovery with  Percona Replication Manager (PRM),”  gave rise to a few questions. The recording of the webinar and the slides are available here, and I’ve answered the questions I didn’t …

Read More
 

How does MySQL Replication really work?

While we do have many blog posts on replication on our blog, such as on replication being single-threaded, on semi-synchronous replication or on estimating replication capacity, I don’t think we have one that covers the …

Read More
 

Announcing TokuDB v6.6: Performance Improvements

We are excited to announce TokuDB® v6.6, the latest version of Tokutek’s flagship storage engine for MySQL and MariaDB. This version offers three types of performance improvements: in-memory, multi-client and fast updates. Although TokuDB is …

Read More
 

MongoDB Index Shootout: Covered Indexes vs. Clustered Fractal Tree Indexes

In my two previous blogs I wrote about our implementation of Fractal Tree Indexes on MongoDB, showing a 10x insertion performance increase and a 268x query performance increase. MongoDB’s covered indexes can provide some performance …

Read More
 

268x Query Performance Increase for MongoDB with Fractal Tree Indexes, SAY WHAT?

Last week I wrote about our 10x insertion performance increase with MongoDB. We’ve continued our experimental integration of Fractal Tree® Indexes into MongoDB, adding support for clustered indexes.  A clustered index stores all non-index fields …

Read More
 

10x Insertion Performance Increase for MongoDB with Fractal Tree Indexes

The challenge of handling massive data processing workloads has spawned many new innovations and techniques in the database world, from indexing innovations like our Fractal Tree® technology to a myriad of “NoSQL” solutions (here is …

Read More
 

TokuDB v6.0: Frequent Checkpoints with No Performance Hit

Checkpointing — which involves periodically writing out dirty pages from memory — is central to the design of crash recovery for both TokuDB and InnoDB. A key issue in designing a checkpointing system is how …

Read More
 

Using any general purpose computer as a special purpose SIMD computer

Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very …

Read More
 

Distributed Set Processing with Shard-Query

Can Shard-Query scale to 20 nodes? Peter asked this question in comments to to my previous Shard-Query benchmark. Actually he asked if it could scale to 50, but testing 20 was all I could due …

Read More
 

MySQL caching methods and tips

“The least expensive query is the query you never run.” Data access is expensive for your application. It often requires CPU, network and disk access, all of which can take a lot of time. Using …

Read More