We discussed in an earlier post how to design indexes for many types of queries using a single table. Here is a real-world example of the challenges you will face when trying to optimize queries: two similar queries, but one is performing a full table scan while the other one is using the index we specially created for these queries. Bug or expected behavior? Read on!

Our two similar queries

# Q1
mysql> explain select col1, col2 from t where ts >= '2015-04-30 00:00:00';
+----+-------------+---------------+------+---------------+------+---------+------+---------+-------------+
| id | select_type | table         | type | possible_keys | key  | key_len | ref  | rows    | Extra       |
+----+-------------+---------------+------+---------------+------+---------+------+---------+-------------+
|  1 | SIMPLE      | t …

An idea for a benchmark based on the “arrival request” rate that I wrote about in a post headlined “Introducing new type of benchmark” back in 2012 was implemented in Sysbench. However, Sysbench provides only a simple workload, so to be able to compare InnoDB with TokuDB, and later MongoDB with Percona TokuMX, I wanted to use more complicated scenarios. (Both TokuDB and TokuMX are part of Percona’s product line, in the case you missed Tokutek now part of the Percona family.)

Thanks to Facebook – they provide LinkBench, a benchmark that emulates the social graph …

Recently, I was working on one of the issue related to locks and deadlocks with InnoDB tables and I found very interesting details about how InnoDB locks and deadlocks works with or without index for different Isolation levels.

Here, I would like to describe a small test case about how SELECT ..FOR UPDATE (with and without limit) behave with INSERT/UPDATE and with READ-COMMITED and REPEATABLE-READ Isolation levels. I’m creating a small table data_col with few records. Initially, this test case was written by Bill Karwin to explain details to customer, but here I have used a bit modified test case.

CREATE TABLE data_col (dataname VARCHAR(10), period INT, expires DATE, host VARCHAR(10));

INSERT INTO data_col VALUES (‘med1′, …

In MySQL 5.7.6, we added a new feature called Generated Columns. In the initial work all Generated Columns were materialized, even virtual ones. This not only resulted in unnecessary disk space being used and disk I/O being done, but it also meant that any table alteration required that the full table be rebuilt. In the new MySQL 5.7.7 JSON Lab release, we have resolved all of these issues by implementing new features that not only allow users to create non-materialized virtual …

(この記事は InnoDB Full-Text: MeCab Parser を Yoshiaki Yamasaki が翻訳したものです)

このブログ記事で紹介した一般的なCJK(中国語、日本語、韓国語)のサポートに加えて、私達はMeCabパーサーも追加しました。MeCabは日本語の形態素解析エンジンで、私達は今 …

Two years ago Ovais Tariq had explained in detail what kinds of problems existed before MySQL introduced metadata locks in 5.5.3 and how these locks help to prevent them. Still, some implications of metadata locking in MySQL remain unclear for users – DBAs and even software developers that target recent MySQL versions. I’ve decided to include a slide or two into the presentation about InnoDB locks and deadlocks I plan to make (with my colleague Nilnandan Joshi) on April 16 at Percona Live 2015.

I decided to do this as …

On a recent engagement I worked with a customer who makes extensive use of UUID() values for their Primary Key and stores it as char(36), and their row count on this example table has grown to over 1 billion rows.

The table is INSERT-only (no UPDATEs or DELETEs), and the bulk of their retrieval are PK lookups. Lookups by PK were performing acceptably, but they were concerned with the space usage by the table as we were approaching 1TB (running with innodb_file_per_table=1 and Percona Server 5.5).

This schema model presents an increasing burden for backups since they use Percona XtraBackup, and so the question was asked: does their choice of an effectively random Primary Key based on UUID() impact their on-disk storage, and to what extent? And as a neat trick I show towards the end of this post how you can calculate the …

(この記事は InnoDB Full-Text : N-gram Parser を Yoshiaki Yamasaki が翻訳したものです)

デフォルトのInnoDB全文検索パーサー(構文解析プログラム)は、空白がトークン(語句)もしくは単語の区切りとなっているラテン語ベースの言語に対して理想的です。しかし、個々の単語の区切り文字が存在せず、それぞれの単語は複数の文字で構成できる中国語・日本語・韓国語(CJK)のような言語には向いていません。そこで、私たちは異なった方法で単語/トークンを識別する方法を必要とします。
私は今 …

We’ve heard lots in recent years about Big Data and the alternative models of data management and processing, like Hadoop and NoSQL. But truth be told, relational databases are still the workhorses of most of today’s small and medium sized businesses. Relational DBs date back over 40 years and SQL skills are fairly common, and they’re known to be highly secure.

MySQL is the world’s second most popular relational database management system (RDMS) and is the most popular open-source version of the database. It’s easily accessible and is often known to be part of the LAMP web development stack, standing for the ‘M’ in the acronym of popular tools, along with Linux, Apache, and PHP/Perl/Python. The fact that MySQL is free, easy to setup and scales fast are some of the main reasons why it’s the best match for many SMBs.

…

With the support for cloud backups in MEB, distributing innodb tables across multiple MySQL instances has become easier.

1. Backup - take a cloud(Amazon S3) backup of the tables to be shared using the --use-tts=with-full-locking option.

./mysqlbackup \
--host=localhost --user=mysqluser --protocol=TCP --port=3306 \
--cloud-service=s3 --cloud-aws-region=us-east-1 \
--cloud-bucket=mebbackup –cloud-object-key=items.img \
--cloud-access-key-id=<access-key> --cloud-secret-access-key=<secret-key> \
--include-tables=^mycompany\.items.* --use-tts=with-full-locking \
--backup-dir=/tmp/bkups/backupdir --compress --backup-image=- …