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Displaying posts with tag: feature (reset)
InnoDB 2011 Summer Labs Releases

In April of 2011, InnoDB team published the early access of NoSQL to InnoDB with memcached, plus several new features as part of MySQL 5.6.2 milestone release. This week, we announced additional early access to new InnoDB features for the community to test, and provide feedback.

There are two release packages from InnoDB team on MySQL Labs: InnoDB full-text search, and InnoDB new features.

InnoDB Full-Text Search

MySQL 5.5 makes InnoDB the default storage engine, so everyone can benefit from ACID-compliant transactions, referential integrity, crash recovery.  However, some users need InnoDB to have built-in full-text search, similar …

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InnoDB Full-Text Search Tutorial

The InnoDB full-text search capability is an exciting feature. The full-text search itself is generally useful to have in an RDBMS. If an application is using all InnoDB tables except for one that is used for full-text searches, now that last table can be switched to InnoDB. If putting the full-text data in a MyISAM table led to scalability problems, duplication, or a less-than-ideal schema design, now those issues can be addressed.

In this post, I’ll take you through some of the basics of setting up and querying an InnoDB FULLTEXT search index. I’ll leave the scalability and performance aspects to Jimmy’s and Vinay’s blog posts, and just use some toy-sized data for demonstration purposes.

Creating a Table with a …

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Improve InnoDB thread scheduling

Introduction
InnoDB has had the thread concurrency management code for some years now. Most will be familiar with the three configuration variables associated with this feature:

  1. innodb_thread_concurrency
  2. innodb_concurrency_tickets
  3. innodb_thread_sleep_delay

The problem with the existing code is that the queueing overhead becomes too much and negatively impacts performance, especially as the number of user threads goes up. The queueing code uses the os_event_t …

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Allow UNDO logs to reside in their own tablespace

Introduction

The InnoDB  UNDO entries reside in a special system table called the UNDO log. This log is made up of several segments. These segments are called rollback segments. A segment in InnoDB is similar to what a file would be in a file system,e.g., user tables and indexes are also stored as separate segments within the same tablespace,  only their format is different. In that sense there is nothing special about InnoDB UNDO logs. This feature allows storing of the UNDO log across several tablespaces.

Purpose

UNDO logs  contain the before image of modified records. There are two types of UNDO records, one for insert and another for updates. The insert UNDO records can be discarded on transaction rollback. The update records are used for rollback, MVCC and by purge. It is because of purge that we can’t just remove the UNDO log records  once the UNDO logs are …

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Shortened warm-up times with a preloaded InnoDB buffer pool

Are you running an InnoDB installation with a many-gigabytes buffer pool(s)? Does it take too long before it goes back to speed after a restart? If yes, then the following will be interesting to you.

In the latest MySQL 5.6 Labs release we have implemented an InnoDB buffer pool(s) dump and load to solve this problem.

The contents of the InnoDB buffer pool(s) can be saved on disk before MySQL is shut down and then read in after a restart so that the warm up time is drastically shortened – the buffer pool(s) go to the state they were before the server restart! The time needed for that is roughly the time needed to read data from disk that is about the size of the buffer pool(s).

Lets dive straight into the commands to perform various dump/load operations:

The buffer pool(s) dump can be done at any time when MySQL is running by doing:

  mysql> SET innodb_buffer_pool_dump_now=ON;

This …

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Create InnoDB databases with 4k and 8k page sizes without recompiling

One of the features found in the summer 2011 labs release is the ability to select the InnoDB page size without recompiling.  Smaller page sizes may be useful for certain storage media such as SSDs where there is no need to minimize seek time between reads.

A new global setting called innodb-page-size can be set to 4k, 8k or 16k before creating a new MySQL instance. This sets the page size for all tablespaces used by that InnoDB instance.   This can be done in my.cnf or on the mysqld command line.  It is a read-only variable while the engine is running since it must be set before InnoDB starts up and creates a new system tablespace.  That happens when InnoDB does not find ibdata1 in the data directory.  If your system tablespace already exists using one page size and innodb-page-size is something else, the engine will not start.

A few bugs were found and fixed related to smaller page sizes in InnoDB …

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Get started with InnoDB Memcached Daemon plugin

As Calvin mentioned in “NoSQL to InnoDB with Memcached“, we just released a “technology preview” of the feature that makes memcached a MySQL Daemon Plugin. And this “technology preview” release demonstrates how user can go around SQL Optimizer and Query Processing and directly interact with InnoDB Storage Engine through InnoDB APIs. Here, we would like to walk with you step by step to see how to get the memcached Daemon Plugin set up and get it running.

If you would just like to get a brief introduction on the setup steps, there is a “README-innodb_memcached” in the mysql-5.6.2-labs-innodb-memcached package. This is a more elaborated description on these steps.

1) Prerequisite:

Currently, the Memcached Daemon Plugin prototype is only supported on Linux platform. And as a prerequisite, you must …

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NoSQL to InnoDB with Memcached

MySQL is the most popular open source SQL database. The ever-increasing performance demands of web-based services have generated significant interest in providing NoSQL access methods to MySQL. Today, MySQL is announcing the preview of the NoSQL to InnoDB via memcached. This offering provides users with the best of both worlds – maintain all of the advantages of rich SQL query language, while providing better performance for simple queries via direct access to shared data.

In this preview release, memcached is implemented as a MySQL plugin daemon, accessing InnoDB directly via the native InnoDB API:

Features provided in the current release:

  • Memcached as a daemon plugin of mysqld: both mysqld and memcached are running in the same process space, with very low latency access to data
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MySQL 5.6: InnoDB scalability fix – Kernel mutex removed

For those interested in InnoDB internals, this post tries to explain why the global kernel mutex was required and the new mutexes and rw-locks that now replace it. Along with the long term benefit from this change.

InnoDB’s core sub-systems up to v5.5 are protected by a global mutex called the Kernel mutex. This makes it difficult to do even some common sense optimisations. In the past we tried optimising the code but it would invariably upset the delicate balance that was achieved by tuning of the code that used the global Kernel mutex, leading to unexpected performance regression. The kernel mutex is also abused in several places to cover operations unrelated to the core e.g., some counters in the server thread main loop.

The InnoDB core sub-systems are:

  1. The Locking sub-system
  2. The Transaction sub-system
  3. MVCC  views
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InnoDB Persistent Statistics at last

Background

InnoDB gathers statistics for the data in user tables, which are used by the MySQL optimizer to choose the best query plan. For a long time the imprecision and instability of these statistics have been creating problems for users.

The problem is that these statistics are recalculated at any of the following events:

* When the table is opened

* When the table has changed a lot (1/16th of the table has been updated/deleted or inserted)

* When ANALYZE TABLE is run

* When SHOW TABLE STATUS or SHOW INDEX FROM is run

* When InnoDB Monitor is turned ON

* others

and so their recalculation must be quick an unnoticeable. Thus the quick algorithm just picks 8 random pages and could give a wildly varying results.

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