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    <title>Information_schema on Enterprise Data Architect | Principal Data Strategist |  MySQL Subject Matter Expert |  Author | Speaker</title>
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    <description>Recent content in Information_schema on Enterprise Data Architect | Principal Data Strategist |  MySQL Subject Matter Expert |  Author | Speaker</description>
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      <title>Calculating your database size</title>
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      <pubDate>Fri, 25 Sep 2009 05:06:15 +0000</pubDate>
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      <description>I generally use the following MySQL INFORMATION_SCHEMA (I_S) query to Calculate Your MySQL Database Size . This query and most others that access the MySQL INFORMATION_SCHEMA can be very slow to execute because they are not real tables and are not governed by physical data, memory buffers and indexes for example but rather internal MySQL data structures.</description>
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      <title>How do I find the storage engine of a MySQL table</title>
      <link>https://ronaldbradford.com/blog/find-storage-engine-of-mysql-table-2009-09-17/</link>
      <pubDate>Thu, 17 Sep 2009 18:14:22 +0000</pubDate>
      <guid>https://ronaldbradford.com/blog/find-storage-engine-of-mysql-table-2009-09-17/</guid>
      <description>This seems quite a trivial question, but developers don’t often know what a MySQL storage engine is and how to determine what storage engine is used for a table.&#xA;The first choice is to describe the table with the DESC[RIBE] command.</description>
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      <title>InnoDB I_S.tables.table_rows out by a factor of 100x</title>
      <link>https://ronaldbradford.com/blog/mysql_information_schema-table_rows-out-by-a-factor-of-100x-2009-09-09/</link>
      <pubDate>Wed, 09 Sep 2009 21:21:41 +0000</pubDate>
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      <description>I’ve always believed that the MySQL Information_schema.tables.table_rows figure for Innodb tables to be while approximate, approximately accurate.&#xA;Today I found that the figures varied on one table from 10x to 100x wrong.</description>
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