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Displaying posts with tag: information_schema (reset)
Finding tables without primary keys

I was checking a third party server, and I needed to find if there were tables without primary keys. This is important to know, not only because the lack of primary keys affects performance and data accuracy in general, but also because in row-based replication performance can degrade beyond belief when updating tables without primary keys.Anyway, I did not remember off the bat any method to get this information from a server with thousands of tables, and thus I went to find a solution on my own.My first instinct called for using the COLUMNS table from the INFORMATIOn_SCHEMA, and so I came up with this query, where I sum the number of columns that are inside either a PRIMARY or UNIQUE key and filter only the ones where such sum is zero (i.e. no primary or unique keys):

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MySQL Global status difference using single query

Have just read MySQL Global status difference using MySQL procedures / functions, by Andres Karlsson. Have commented, but realized I did not provide with a direct answer. In the comment, I suggested checking out a solution based on views, found in common_schema. But the solution in common_schema is split into two views, due to the fact views cannot handle derived tables subqueries.

Well, here's a single query to do that: it checks GLOBAL_STATUS twice, 10 seconds apart in the following sample. It uses SLEEP() to actually wait between the two reads. Yes, you can do that …

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Announcing common_schema: common views & routines for MySQL

Today I have released common_schema, a utility schema for MySQL which includes many views and functions, and is aimed to be installed on any MySQL server.

What does it do?

There are views answering for all sorts of useful information: stuff related to schema analysis, data dimensions, monitoring, processes & transactions, security, internals... There are basic functions answering for common needs.

Some of the views/routines simply formalize those queries we tend to write over and over again. Others take the place of external tools, answering complex questions via SQL and metadata. Still others help out with SQL generation.

Here are a few highlights:

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Following up on MySQL security: inconsistencies, and on MySQL bug #61596, I was thinking it may take a long time till the non-existent ROUTINE_PRIVILEGES view is implemented. Here’s my own implementation of the view.

I’ve followed the somewhat strange conventions used in the *_PRIVILEGES tables in INFORMATION_SCHEMA, where the IS_GRANTABLE is a separate column, although in 2nd 1st normal form.

I present it here as a query, using session variables, rather than a view definition:

  CONCAT('\'', User, '\'@\'', Host, '\'') AS GRANTEE,
  Routine_name AS ROUTINE_NAME,
  Routine_type AS ROUTINE_TYPE, …
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MySQL security: inconsistencies

Doing some work with MySQL security, I’ve noticed a few inconsistencies. They’re mostly not-too-terrible for daily work, except they get in my way right now.

The ALL PRIVILEGES inconsistency

The preferred way of assigning account privileges in MySQL is by way of using GRANT.

With GRANT, one assigns one or more privileges to an account, such as SELECT, UPDATE, ALTER, SUPER ,etc. Sometimes it makes sense for an account to have complete control over a domain. For example, the root account is typically assigned with all privileges. Or, some user may require all possible privileges on a certain schema.

Instead of listing the entire set of privileges, the ALL PRIVILEGES meta-privilege can be used. There is a fine …

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Finding and killing long running InnoDB transactions with Events

I’ve seen a number of solutions for finding long running transactions or sessions within InnoDB / MySQL now. Every single one of them has (in the past by necessity) been implemented as a script (other than one, more on that one later) that is either invoked manually, or via some cron job, that then connects and tries to find, and possibly diagnose or kill, transactions that break some “long …

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Checking for AUTO_INCREMENT capacity with single query

Darn! This means oak-show-limits becomes redundant. Am I not supposed to speak about it on my coming presentation? Bad timing!

You have AUTO_INCREMENT columns. How far are you pushing the limits? Are you going to run out of AUTO_INCREMENT values soon? Perhaps you wonder whether you should ALTER from INT to BIGINT?

The answer is all there in INFORMATION_SCHEMA. The TABLES table shows the current AUTO_INCREMENT value per table, and the COLUMNS table tells us all about a column’s data type.

It takes some ugly code to deduce the maximum value per column type, …

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VIEWS on INFORMATION_SCHEMA tables - Useful stuff

Views in MySQL really has quite a bad reputation, for bad performance mainly, but also there were some stability issues at some point. Now they are pretty stable, but I don't see them used that much. One place where I like to use them myself is in combination with INFORMATION_SCHEMA tables. The I_S tables are really useful and contain a lot of information, and by using VIEWs we can massage the data a bit.

I often have a database specifcally for DBA needs, so that is what we will use here.
USE dba;

OK, now we have a database to play with. Lets solve a minor problem first. Being able to use the TABLES table in INFORMATION_SCHEMA is great, as it allows standard SQL filtering and processing, in difference to the output from SHOW TABLES (largely at least, some filtering is available in the SHOW commands also of course). But the TABLES table contains the tables in ALL …

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Drizzle metadata tables

Giuseppe has a great post about the Evolution of MySQL metadata, and I thought I’d have a look at what we have in Drizzle. It’s pretty easy to work out how many tables are in each schema, we just query the standard INFORMATION_SCHEMA.TABLES view:

drizzle> select table_schema,count(table_name)
    ->  from information_schema.tables
    -> group by table_schema;
| table_schema       | count(table_name) |
| DATA_DICTIONARY    |                53 |
| INFORMATION_SCHEMA |                20 |
2 rows in set (0 sec)

In Drizzle it’s important to note that there is a differentiation between SQL …

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Evolution of MySQL metadata

I was looking at the latest MySQL versions, and I happened to notice that there has been a great increment in the number of metadata tables, both in the information_schema and performance_schema databases. So I made a simple count of both schemas in the various versions, and draw a graph. The advance looks straightforward.

version Information_schema performance_schema
5.0.92 17 0
5.1.54 28 0
5.1.54 with innodb plugin 35 0
5.5.8 37 17
5.6.2 48
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Showing entries 31 to 40 of 76
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