MySQL partitions tutorial
This document provides information about partitioning in MySQL 5.1 presented by Sarah Sproehnle and Giuseppe Maxia. It discusses partitioning types (range, hash, list, key), partitioning expressions, partitioning pruning, benchmarking partitions, partitioning with different storage engines, partitioning by dates, and optimizing queries on partitioned tables.
Scaling MySQL writes through Partitioning
MySQL is fairly fast for most applications, but every now and then you might come across an application that needs fast writes at a very large scale. The problem with this is that if your inserts are not ordered according to your primary key, then once you cross a limit known as the innodb_buffer_pool_size (for InnoDB tables), write performance starts to degrade because you're now hitting disk a l
The other side of the moon: Scaling writes in MySQL
We use MySQL on most of our projects. One of these projects has a an access pattern unlike any other I've worked on. Several million records a day need to be written to a table. These records are then read out once at the end of the day, summarised and then very rarely touched again. Each record is about 104 bytes long (thre's one VARCHAR column, everything else is fixed), and that's after squeezi
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
