Mostly MYSQL DBA done the partitioning but if we talk about programmer then they are unable to do.

so don’t worry friends here is the solutions for mysql partitioning in easy steps.

First run this query to you panel and check patition is on or not.

mysql> SHOW VARIABLES LIKE ‘%partition%’;

+——————-+——-+
| Variable_name | Value |
+——————-+——-+
| have_partitioning | YES |
+——————-+——-+

Result will come like this then this database fine to add table partition.

there is another query also that show all mysql plugins.

mysql> SHOW PLUGINS;

+————+———-+—————-+———+———+
| Name | Status | Type | Library | License |
+————+———-+—————-+———+———+
| binlog | ACTIVE | STORAGE ENGINE | NULL | GPL |
| partition | ACTIVE | STORAGE ENGINE | NULL | GPL |
| ARCHIVE | ACTIVE | STORAGE ENGINE | NULL | GPL |
| BLACKHOLE | ACTIVE | STORAGE ENGINE | NULL | GPL |
| CSV | ACTIVE | STORAGE ENGINE | NULL | GPL |
| FEDERATED | DISABLED | STORAGE ENGINE | NULL | GPL |
| MEMORY | ACTIVE | STORAGE ENGINE | NULL | GPL |
| InnoDB | ACTIVE | STORAGE ENGINE | NULL | GPL |
| MRG_MYISAM | ACTIVE | STORAGE ENGINE | NULL | GPL |
| MyISAM | ACTIVE | STORAGE ENGINE | NULL | GPL |
| ndbcluster | DISABLED | STORAGE ENGINE | NULL | GPL |
+————+———-+—————-+———+———+

Then create a table and insert the value in that table.

mysql> CREATE TABLE bagesh_singh (id INT, name VARCHAR(50), purchased DATE)
-> PARTITION BY RANGE( YEAR(purchased) ) (
-> PARTITION p0 VALUES LESS THAN (1990),
-> PARTITION p1 VALUES LESS THAN (1995),
-> PARTITION p2 VALUES LESS THAN (2000),
-> PARTITION p3 VALUES LESS THAN (2005)
-> );

table is created based on Year partition

Then insert some value to there

mysql> INSERT INTO bagesh_singh VALUES
-> (1, ‘desk organiser’, ’2003-10-15′),
-> (2, ‘CD player’, ’1993-11-05′),
-> (3, ‘TV set’, ’1996-03-10′),
-> (4, ‘bookcase’, ’1982-01-10′),
-> (5, ‘exercise bike’, ’2004-05-09′),
-> (6, ‘sofa’, ’1987-06-05′),
-> (7, ‘popcorn maker’, ’2001-11-22′),
-> (8, ‘aquarium’, ’1992-08-04′),
-> (9, ‘study desk’, ’1984-09-16′),
-> (10, ‘lava lamp’, ’1998-12-25′);

10 rows will be inserted in table bagesh_singh

then run
mysql> SELECT * FROM bagesh_singh
-> WHERE purchased BETWEEN ’1995-01-01′ AND ’1999-12-31′;
+——+———–+————+
| id | name | purchased |
+——+———–+————+
| 3 | TV set | 1996-03-10 |
| 10 | lava lamp | 1998-12-25 |
+——+———–+————+

thes data will come in 0.00 sec it will make your table fast because of mysql table partition

mysql> ALTER TABLE tr DROP PARTITION p2;
Query OK, 0 rows affected (0.03 sec)

you can drop partition using mysql ALTER command.

even you can add mysql table partition using ALTER command.

mysql> ALTER TABLE bagesh_singh ADD PARTITION (PARTITION p3 VALUES LESS THAN (2000));

To double check you can use this mysql command also

mysql> SHOW CREATE TABLE tr\G
*************************** 1. row ***************************
Table: bagesh_singh
Create Table: CREATE TABLE `bagesh_singh` (
`id` int(11) default NULL,
`name` varchar(50) default NULL,
`purchased` date default NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1
PARTITION BY RANGE ( YEAR(purchased) ) (
PARTITION p0 VALUES LESS THAN (1990) ENGINE = MyISAM,
PARTITION p1 VALUES LESS THAN (1995) ENGINE = MyISAM,
PARTITION p3 VALUES LESS THAN (2005) ENGINE = MyISAM
)
1 row in set (0.01 sec)

This is very gud example for range mysql partitioning

CREATE TABLE oyerecharge_com (
id INT NOT NULL,
fname VARCHAR(50) NOT NULL,
lname VARCHAR(50) NOT NULL,
hired DATE NOT NULL
)
PARTITION BY RANGE( YEAR(hired) ) (
PARTITION p1 VALUES LESS THAN (1991),
PARTITION p2 VALUES LESS THAN (1996),
PARTITION p3 VALUES LESS THAN (2001),
PARTITION p4 VALUES LESS THAN (2005)
);

ALTER TABLE oyerecharge_com ADD PARTITION (
PARTITION p5 VALUES LESS THAN (2010),
PARTITION p6 VALUES LESS THAN MAXVALUE
);

I hope this article will be usefull for you.
Best of luck

www.bageshsingh.com
www.bageshsingh.com/bagesh-blog/

very fast. Firstly choose which table being used every time for delete, insert or update make a list and always repair these tables.

after 15 days.

this is very good question for mysql interview best of luck hope this will help for your good career.

Prioritise your queries as LOW_PRIORITY, HIGH_PRIORITY, or DELAYED when it matters

Don’t use SELECT * unless you must

Use the EXPLAIN keyword to see how MySQL will execute your query – make sure your indexes are being used!

Load your data before adding indexes is faster than adding indexes first

Be wary of locks

Use –log-slow-queries to see where your tables can be optimised

Increase your buffer sizes so that MySQL can cache more

Use SHOW STATUS to make sure your MySQL server is in good condition

Don’t create indexes you aren’t going to use

Do as much as your filtering in SQL as you can

Indexes are good for reads, but bad for writes

Use OPTIMIZE TABLE and ANALYZE TABLE regularly

Create your tables with a fixed-table format if possible

Use the most efficient table type for each table

Use the best data type, including NOT NULL if appropriate – don’t rely on automatic type conversion

Use default values for INSERT when you can

Use temporary tables rather than heavy PHP work

SELECT foo IN (list, of, constants) is very fast

When joining tables, use numbers instead of strings if you can

The CHAR and VARCHAR types are declared with a length that indicates the maximum number of characters you want to store. For example, CHAR(30) can hold up to 30 characters.

After MySQL 5.0.3: BIT data type can store 8 bytes of data and should be used for binary data.

a) data is delimited

b) columns and data matched correctly

Database – 64 bytes
Table – 64 bytes
Column – 64 bytes
Index – 64 bytes
Alias – 255 bytes

There are some restrictions on the characters that may appear in identifiers: