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Search Results for: innodb_dict_size_limit

Percona Server 5.5.36-34.0 is now available

Percona is glad to announce the release of Percona Server 5.5.36-34.0 on March 10th, 2014 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.5.36, including all the bug fixes in it, Percona Server 5.5.36-34.0 is now the …

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Optimizing InnoDB for creating 30,000 tables (and nothing else)

Once upon a time, it would have been considered madness to even attempt to create 30,000 tables in InnoDB. That time is now a memory. We have customers with a lot more tables than a …

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Fishing with dynamite, brought to you by the randgen and dbqp

I tend to speak highly of the random query generator as a testing tool and thought I would share a story that shows how it can really shine. At our recent dev team meeting, we …

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Percona Server 5.1.55-12.6

Percona Server version 5.1.55-12.6 is now available for download. It is now the current stable release version. Changes Fixed compiler warnings in both the core server and in XtraDB. (Alxey Kopytov, Yasufumi Kinoshita) Bugs Fixed …

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How much memory Innodb Dictionary can take ?

The amount of memory Innodb will require for its data dictionary depends on amount of tables you have as well as number of fields and indexes. Innodb allocates this memory once table is accessed and …

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How innodb_open_files affects performance

Recently I looked at table_cache sizing which showed larger table cache does not always provides the best performance. So I decided to look at yet another similar variable – innodb_open_files which defines how many files …

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XtraDB: The Top 10 enhancements

Note: This post is part 2 of 4 on building our training workshop. Last week I talked about why you don’t want to shard. This week I’m following up with the top 10 enhancements that …

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Limiting InnoDB Data Dictionary

One of InnoDB’s features is that memory allocated for internal tables definitions is not limited and may grow indefinitely. You may not notice it if you have an usual application with say 100-1000 tables. But …

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