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it-wiki:mysql:faq

Dies ist eine alte Version des Dokuments!


MySQL - Kleine Hilfe

Abfrage über mehrere Tabellen mit inner join

select familienname,vorname,1_jahr_bezahlt,2_jahr_bezahlt,avastId from t_users u  inner join t_hosts h on (u.userId=h.userId) inner join t_avast a on (h.hostId=a.hostId);

zeigen aller Views

SHOW FULL TABLES IN database_name WHERE TABLE_TYPE LIKE 'VIEW';

zeige die CREATE VIEW Syntax

SHOW CREATE VIEW my_view_name;

fügt eine neue Spalte in eine existierenden Tabelle ein

alter table t_hosts add mac_address varchar(17);

ändert den Spaltennamen einer Tabelle

alter table t_hosts change mac_adress mac_address varchar(17);

zeigt Spalteneigenschaften einer Tabelle an

explain t_hosts;

ändert einen Tabelleneintrag

update t_hosts set hostname='motog-nadin' where hostId='4';

zeigt die Rechte des Users an

show grants for 'marko'@'marko-ThinkPad-T500.tuxnet.local';

löscht alle Privilegien des Users

revoke all privileges on `tuxnetlocal`.* from 'marko'@'marko-thinkpad-t500.tuxnet.local';

User Rechte vergeben

GRANT all privileges on `KMyMoney`.* TO 'marko'@'notebook-marko.tuxnet.local' IDENTIFIED BY 'password';

Tips to reduce the size of MySQL Database

List MySQL Table and Index Size

Use the following queries to monitor and evaluation table and index size.

Query below returns the size of each Database in MB.

MariaDB [(none)]> SELECT table_schema "DB Name", Round(Sum(data_length + index_length) / 1024 / 1024, 1) "DB Size in MB"
 FROM information_schema.tables
 GROUP BY table_schema;
+--------------------+---------------+
| DB Name            | DB Size in MB |
+--------------------+---------------+
| hope               |       75714.0 |
| information_schema |           0.2 |
| mysql              |           1.9 |
| performance_schema |           0.0 |
+--------------------+---------------+

Query below returns the size of each Table in MB.

SELECT table_schema as `Database`,table_name AS `Table`,round(((data_length + index_length) / 1024 / 1024), 2) `Size in MB`
FROM information_schema.TABLES
ORDER BY (data_length + index_length) DESC
LIMIT 5;       -- adjust it according to your needs
+----------+------------------------+------------+
| Database | Table                  | Size in MB |
+----------+------------------------+------------+
| hope     | eth_products           |   44029.54 |
| hope     | eth_customers          |   28868.08 |
| hope     | eth_emails             |    1423.92 |
| hope     | eth_id                 |    1392.43 |
| mysql    | help_topic             |       1.38 |
+----------+------------------------+------------+

Query below returns index size ordered from the ones using the most.

SELECT table_schema as database_name,table_name,round(index_length/1024/1024,2) as index_size
FROM information_schema.tables
WHERE table_type = 'BASE TABLE'
     and table_schema not in ('information_schema', 'sys','performance_schema', 'mysql')
     and table_schema = 'your database name'
ORDER BY index_size desc;
+---------------+------------------------+------------+
| database_name | table_name             | index_size |
+---------------+------------------------+------------+
| hope          | eth_products           |   18561.74 |
| hope          | eth_customers          |   12037.89 |
| hope          | eth_emails             |     638.70 |
| hope          | eth_id                 |     607.20 |
| hope          | eth_temp               |       0.00 |
+---------------+------------------------+------------+

Delete Unwanted Data

The easier and the hardest way to reduce MySQL size is by deleting all the unwanted data. DB admins usually fill in DB tables or columns with unnecessary data. A DB schema reevaluation is essential to identify such cases.

The following query helps determine the last time a table is updated.

SELECT table_schema,table_name,create_time,update_time from information_schema.tables 
WHERE table_schema not in ('information_schema','mysql') 
	and engine is not null and ((update_time < (now() - interval 1 day)) or update_time is NULL) 
LIMIT 5;
+--------------+------------------------+---------------------+---------------------+
| table_schema | table_name             | create_time         | update_time         |
+--------------+------------------------+---------------------+---------------------+
| MariaDB      | eth_table1             | 2019-08-23 20:52:51 | 2019-08-23 22:54:34 |
| MariaDB      | eth_table2             | 2019-08-23 19:20:23 | 2019-08-23 19:20:23 |
| MariaDB      | eth_table3             | 2019-08-23 19:20:29 | 2019-08-23 19:20:29 |
| MariaDB      | eth_table4             | 2019-08-26 19:18:04 | 2019-08-26 21:05:10 |
| MariaDB      | eth_temp               | 2019-08-25 01:52:33 | 2019-08-25 21:16:16 |
+--------------+------------------------+---------------------+---------------------+

When all unused data are unidentified the following commands will help you delete them :

Be extra careful when using delete/drop commands ! Deleted data cannot be recovered!

DELETE FROM table1 / TRUNCATE table1        --Deletes all Records
DELETE FROM table1 WHERE condition          --Deletes records based on a condition
DROP TABLE table                            --Deletes table
DROP DATABASE                               --Deleting database
ALTER TABLE table_name DROP column_name;    --Deletes a column 

Find and Remove Unused Indexes

A general rule of thumb is that the more indexes you have on a table, the slower INSERT, UPDATE, and DELETE operations will be and more disk space will be consumed. It is essential to track down unused indexes that consume disk space and slow down your database.

By default, statistics are not collected. This is to ensure that statistics collection does not cause any extra load on the server unless desired.

To enable statistics dynamically execute the following command :

it-wiki/mysql/faq.1679641831.txt.gz · Zuletzt geändert: 2023/03/24 07:10 von marko