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Monday, November 3, 2014

MySQL Clone Tables

There may be a situation when you need an exact copy of a table and CREATE TABLE ... SELECT doesn't suit your purposes because the copy must include the same indexes, default values, and so forth.
You can handle this situation by following steps:
  • Use SHOW CREATE TABLE to get a CREATE TABLE statement that specifies the source table's structure, indexes and all.
  • Modify the statement to change the table name to that of the clone table and execute the statement. This way, you will have exact clone table.
  • Optionally, if you need the table contents copied as well, issue an INSERT INTO ... SELECT statement, too.

Example:

Try out the following example to create a clone table for javatutorials_tbl.

Step 1:

Get complete structure about table.
mysql> SHOW CREATE TABLE javatutorials_tbl \G;
*************************** 1. row ***************************
       Table: javatutorials_tbl
Create Table: CREATE TABLE `javatutorials_tbl` (
  `javatutorial_id` int(11) NOT NULL auto_increment,
  `javatutorial_title` varchar(100) NOT NULL default '',
  `javatutorial_author` varchar(40) NOT NULL default '',
  `submission_date` date default NULL,
  PRIMARY KEY  (`tutorial_id`),
  UNIQUE KEY `JAVA_AUTHOR_INDEX` (`tutorial_author`)
) TYPE=MyISAM
1 row in set (0.00 sec)

ERROR:
No query specified

Step 2:

Rename this table and create another table.
mysql> CREATE TABLE `clone_tbl` (
  -> `javatutorial_id` int(11) NOT NULL auto_increment,
  -> `javatutorial_title` varchar(100) NOT NULL default '',
  -> `javatutorial_author` varchar(40) NOT NULL default '',
  -> `submission_date` date default NULL,
  -> PRIMARY KEY  (`javatutorial_id`),
  -> UNIQUE KEY `JAVA_AUTHOR_INDEX` (`javatutorial_author`)
-> ) TYPE=MyISAM;
Query OK, 0 rows affected (1.80 sec)

Step 3:

After executing step 2, you will create a clone table in your database. If you want to copy data from old table then you can do it by using INSERT INTO... SELECT statement.
mysql> INSERT INTO clone_tbl (javatutorial_id,
    ->                        javatutorial_title,
    ->                        javatutorial_author,
    ->                        submission_date)
    -> SELECT javatutorial_id,javatutorial_title,
    ->        javatutorial_author,javasubmission_date,
    -> FROM javatutorials_tbl;
Query OK, 3 rows affected (0.07 sec)
Records: 3  Duplicates: 0  Warnings: 0
Finally, you will have exact clone table as you wanted to have.

MySQL Temporary Tables

The temporary tables could be very useful in some cases to keep temporary data. The most important thing that should be known for temporary tables is that they will be deleted when the current client session terminates.
Temporary tables were added in MySQL version 3.23. If you use an older version of MySQL than 3.23, you can't use temporary tables, but you can use heap tables.
As stated earlier, temporary tables will only last as long as the session is alive. If you run the code in a PHP script, the temporary table will be destroyed automatically when the script finishes executing. If you are connected to the MySQL database server through the MySQL client program, then the temporary table will exist until you close the client or manually destroy the table.

Example:

Here is an example showing you usage of temporary table. Same code can be used in PHP scripts using mysql_query() function.
mysql> CREATE TEMPORARY TABLE SalesSummary (
    -> product_name VARCHAR(50) NOT NULL
    -> , total_sales DECIMAL(12,2) NOT NULL DEFAULT 0.00
    -> , avg_unit_price DECIMAL(7,2) NOT NULL DEFAULT 0.00
    -> , total_units_sold INT UNSIGNED NOT NULL DEFAULT 0
);
Query OK, 0 rows affected (0.00 sec)

mysql> INSERT INTO SalesSummary
    -> (product_name, total_sales, avg_unit_price, total_units_sold)
    -> VALUES
    -> ('cucumber', 100.25, 90, 2);

mysql> SELECT * FROM SalesSummary;
+--------------+-------------+----------------+------------------+
| product_name | total_sales | avg_unit_price | total_units_sold |
+--------------+-------------+----------------+------------------+
| cucumber     |      100.25 |          90.00 |                2 |
+--------------+-------------+----------------+------------------+
1 row in set (0.00 sec)
When you issue a SHOW TABLES command, then your temporary table would not be listed out in the list. Now, if you will log out of the MySQL session and then you will issue a SELECT command, then you will find no data available in the database. Even your temporary table would also not exist.

Dropping Temporary Tables:

By default, all the temporary tables are deleted by MySQL when your database connection gets terminated. Still if you want to delete them in between, then you do so by issuing DROP TABLE command.
Following is the example on dropping a temporary table:
mysql> CREATE TEMPORARY TABLE SalesSummary (
    -> product_name VARCHAR(50) NOT NULL
    -> , total_sales DECIMAL(12,2) NOT NULL DEFAULT 0.00
    -> , avg_unit_price DECIMAL(7,2) NOT NULL DEFAULT 0.00
    -> , total_units_sold INT UNSIGNED NOT NULL DEFAULT 0
);
Query OK, 0 rows affected (0.00 sec)

mysql> INSERT INTO SalesSummary
    -> (product_name, total_sales, avg_unit_price, total_units_sold)
    -> VALUES
    -> ('cucumber', 100.25, 90, 2);

mysql> SELECT * FROM SalesSummary;
+--------------+-------------+----------------+------------------+
| product_name | total_sales | avg_unit_price | total_units_sold |
+--------------+-------------+----------------+------------------+
| cucumber     |      100.25 |          90.00 |                2 |
+--------------+-------------+----------------+------------------+
1 row in set (0.00 sec)
mysql> DROP TABLE SalesSummary;
mysql>  SELECT * FROM SalesSummary;
ERROR 1146: Table 'JAVATUTORIALS.SalesSummary' doesn't exist

MySQL INDEXES

A database index is a data structure that improves the speed of operations in a table. Indexes can be created using one or more columns, providing the basis for both rapid random lookups and efficient ordering of access to records.
While creating index, it should be considered that what are the columns which will be used to make SQL queries and create one or more indexes on those columns.
Practically, indexes are also type of tables, which keep primary key or index field and a pointer to each record into the actual table.
The users cannot see the indexes, they are just used to speed up queries and will be used by Database Search Engine to locate records very fast.
INSERT and UPDATE statements take more time on tables having indexes where as SELECT statements become fast on those tables. The reason is that while doing insert or update, database need to insert or update index values as well.

Simple and Unique Index:

You can create a unique index on a table. A unique index means that two rows cannot have the same index value. Here is the syntax to create an Index on a table
CREATE UNIQUE INDEX index_name
ON table_name ( column1, column2,...);
You can use one or more columns to create an index. For example, we can create an index on tutorials_tbl using tutorial_author.
CREATE UNIQUE INDEX JAVA_AUTHOR_INDEX
ON javatutorials_tbl (javatutorial_author)
You can create a simple index on a table. Just omit UNIQUE keyword from the query to create simple index. Simple index allows duplicate values in a table.
If you want to index the values in a column in descending order, you can add the reserved word DESC after the column name.
mysql> CREATE UNIQUE INDEX JAVA_AUTHOR_INDEX
ON javatutorials_tbl (javatutorial_author DESC)

ALTER command to add and drop INDEX:

There are four types of statements for adding indexes to a table:
  • ALTER TABLE tbl_name ADD PRIMARY KEY (column_list): This statement adds a PRIMARY KEY, which means that indexed values must be unique and cannot be NULL.
  • ALTER TABLE tbl_name ADD UNIQUE index_name (column_list): This statement creates an index for which values must be unique (with the exception of NULL values, which may appear multiple times).
  • ALTER TABLE tbl_name ADD INDEX index_name (column_list): This adds an ordinary index in which any value may appear more than once.
  • ALTER TABLE tbl_name ADD FULLTEXT index_name (column_list): This creates a special FULLTEXT index that is used for text-searching purposes.
Here is the example to add index in an existing table.
mysql> ALTER TABLE testalter_tbl ADD INDEX (c);
You can drop any INDEX by using DROP clause along with ALTER command. Try out the following example to drop above-created index.
mysql> ALTER TABLE testalter_tbl DROP INDEX (c);
You can drop any INDEX by using DROP clause along with ALTER command. Try out the following example to drop above-created index.

ALTER Command to add and drop PRIMARY KEY:

You can add primary key as well in the same way. But make sure Primary Key works on columns, which are NOT NULL.
Here is the example to add primary key in an existing table. This will make a column NOT NULL first and then add it as a primary key.
mysql> ALTER TABLE testalter_tbl MODIFY i INT NOT NULL;
mysql> ALTER TABLE testalter_tbl ADD PRIMARY KEY (i);
You can use ALTER command to drop a primary key as follows:
mysql> ALTER TABLE testalter_tbl DROP PRIMARY KEY;
To drop an index that is not a PRIMARY KEY, you must specify the index name.

Displaying INDEX Information:

You can use SHOW INDEX command to list out all the indexes associated with a table. Vertical-format output (specified by \G) often is useful with this statement, to avoid long line wraparound:
Try out the following example:
mysql> SHOW INDEX FROM table_name\G
........

MySQL ALTER Command

MySQL ALTER command is very useful when you want to change a name of your table, any table field or if you want to add or delete an existing column in a table.
Let's begin with creation of a table called testalter_tbl.
root@host# mysql -u root -p password;
Enter password:*******
mysql> use JAVATUTORIALS;
Database changed
mysql> create table testalter_tbl
    -> (
    -> i INT,
    -> c CHAR(1)
    -> );
Query OK, 0 rows affected (0.05 sec)
mysql> SHOW COLUMNS FROM testalter_tbl;
+-------+---------+------+-----+---------+-------+
| Field | Type    | Null | Key | Default | Extra |
+-------+---------+------+-----+---------+-------+
| i     | int(11) | YES  |     | NULL    |       |
| c     | char(1) | YES  |     | NULL    |       |
+-------+---------+------+-----+---------+-------+
2 rows in set (0.00 sec)

Dropping, Adding or Repositioning a Column:

Suppose you want to drop an existing column i from above MySQL table then you will use DROP clause along with ALTER command as follows:
mysql> ALTER TABLE testalter_tbl  DROP i;
A DROP will not work if the column is the only one left in the table.
To add a column, use ADD and specify the column definition. The following statement restores the i column to testalter_tbl:
mysql> ALTER TABLE testalter_tbl ADD i INT;
After issuing this statement, testalter will contain the same two columns that it had when you first created the table, but will not have quite the same structure. That's because new columns are added to the end of the table by default. So even though i originally was the first column in mytbl, now it is the last one.
mysql> SHOW COLUMNS FROM testalter_tbl;
+-------+---------+------+-----+---------+-------+
| Field | Type    | Null | Key | Default | Extra |
+-------+---------+------+-----+---------+-------+
| c     | char(1) | YES  |     | NULL    |       |
| i     | int(11) | YES  |     | NULL    |       |
+-------+---------+------+-----+---------+-------+
2 rows in set (0.00 sec)
To indicate that you want a column at a specific position within the table, either use FIRST to make it the first column or AFTER col_name to indicate that the new column should be placed after col_name. Try the following ALTER TABLE statements, using SHOW COLUMNS after each one to see what effect each one has:
ALTER TABLE testalter_tbl DROP i;
ALTER TABLE testalter_tbl ADD i INT FIRST;
ALTER TABLE testalter_tbl DROP i;
ALTER TABLE testalter_tbl ADD i INT AFTER c;
The FIRST and AFTER specifiers work only with the ADD clause. This means that if you want to reposition an existing column within a table, you first must DROP it and then ADD it at the new position.

Changing a Column Definition or Name:

To change a column's definition, use MODIFY or CHANGE clause along with ALTER command. For example, to change column c from CHAR(1) to CHAR(10), do this:
mysql> ALTER TABLE testalter_tbl MODIFY c CHAR(10);
With CHANGE, the syntax is a bit different. After the CHANGE keyword, you name the column you want to change, then specify the new definition, which includes the new name. Try out the following example:
mysql> ALTER TABLE testalter_tbl CHANGE i j BIGINT;
If you now use CHANGE to convert j from BIGINT back to INT without changing the column name, the statement will be as expected:
mysql> ALTER TABLE testalter_tbl CHANGE j j INT;

The Effect of ALTER TABLE on Null and Default Value Attributes:

When you MODIFY or CHANGE a column, you can also specify whether or not the column can contain NULL values and what its default value is. In fact, if you don't do this, MySQL automatically assigns values for these attributes.
Here is the example, where NOT NULL column will have value 100 by default.
mysql> ALTER TABLE testalter_tbl 
    -> MODIFY j BIGINT NOT NULL DEFAULT 100;
If you don't use above command, then MySQL will fill up NULL values in all the columns.

Changing a Column's Default Value:

You can change a default value for any column using ALTER command. Try out the following example.
mysql> ALTER TABLE testalter_tbl ALTER i SET DEFAULT 1000;
mysql> SHOW COLUMNS FROM testalter_tbl;
+-------+---------+------+-----+---------+-------+
| Field | Type    | Null | Key | Default | Extra |
+-------+---------+------+-----+---------+-------+
| c     | char(1) | YES  |     | NULL    |       |
| i     | int(11) | YES  |     | 1000    |       |
+-------+---------+------+-----+---------+-------+
2 rows in set (0.00 sec)
You can remove default constraint from any column by using DROP clause along with ALTER command.
mysql> ALTER TABLE testalter_tbl ALTER i DROP DEFAULT;
mysql> SHOW COLUMNS FROM testalter_tbl;
+-------+---------+------+-----+---------+-------+
| Field | Type    | Null | Key | Default | Extra |
+-------+---------+------+-----+---------+-------+
| c     | char(1) | YES  |     | NULL    |       |
| i     | int(11) | YES  |     | NULL    |       |
+-------+---------+------+-----+---------+-------+
2 rows in set (0.00 sec)

Changing a Table Type:

You can use a table type by using TYPE clause along with ALTER command. Try out the following example to change testalter_tbl to MYISAM table type.
To find out the current type of a table, use the SHOW TABLE STATUS statement.
mysql> ALTER TABLE testalter_tbl TYPE = MYISAM;
mysql>  SHOW TABLE STATUS LIKE 'testalter_tbl'\G
*************************** 1. row ****************
           Name: testalter_tbl
           Type: MyISAM
     Row_format: Fixed
           Rows: 0
 Avg_row_length: 0
    Data_length: 0
Max_data_length: 25769803775
   Index_length: 1024
      Data_free: 0
 Auto_increment: NULL
    Create_time: 2007-06-03 08:04:36
    Update_time: 2007-06-03 08:04:36
     Check_time: NULL
 Create_options:
        Comment:
1 row in set (0.00 sec)

Renaming a Table:

To rename a table, use the RENAME option of the ALTER TABLE statement. Try out the following example to rename testalter_tbl to alter_tbl.
mysql> ALTER TABLE testalter_tbl RENAME TO alter_tbl;

MySQL Transaction Management

A transaction is a sequential group of database manipulation operations, which is performed as if it were one single work unit. In other words, a transaction will never be complete unless each individual operation within the group is successful. If any operation within the transaction fails, the entire transaction will fail.
Practically, you will club many SQL queries into a group and you will execute all of them together as part of a transaction.

Properties of Transactions:

Transactions have the following four standard properties, usually referred to by the acronym ACID:
  • Atomicity: ensures that all operations within the work unit are completed successfully; otherwise, the transaction is aborted at the point of failure and previous operations are rolled back to their former state.
  • Consistency: ensures that the database properly changes states upon a successfully committed transaction.
  • Isolation: enables transactions to operate independently on and transparent to each other.
  • Durability: ensures that the result or effect of a committed transaction persists in case of a system failure.
In MySQL, transactions begin with the statement BEGIN WORK and end with either a COMMIT or a ROLLBACK statement. The SQL commands between the beginning and ending statements form the bulk of the transaction.

COMMIT and ROLLBACK:

These two keywords Commit and Rollback are mainly used for MySQL Transactions.
  • When a successful transaction is completed, the COMMIT command should be issued so that the changes to all involved tables will take effect.
  • If a failure occurs, a ROLLBACK command should be issued to return every table referenced in the transaction to its previous state.
You can control the behavior of a transaction by setting session variable called AUTOCOMMIT. If AUTOCOMMIT is set to 1 (the default), then each SQL statement (within a transaction or not) is considered a complete transaction and committed by default when it finishes. When AUTOCOMMIT is set to 0, by issuing the SET AUTOCOMMIT=0 command, the subsequent series of statements acts like a transaction and no activities are committed until an explicit COMMIT statement is issued.
You can execute these SQL commands in PHP by using mysql_query() function.

Generic Example on Transaction

This sequence of events is independent of the programming language used; the logical path can be created in whichever language you use to create your application.
You can execute these SQL commands in PHP by using mysql_query() function.
  • Begin transaction by issuing SQL command BEGIN WORK.
  • Issue one or more SQL commands like SELECT, INSERT, UPDATE or DELETE.
  • Check if there is no error and everything is according to your requirement.
  • If there is any error, then issue ROLLBACK command, otherwise issue a COMMIT command.

Transaction-Safe Table Types in MySQL:

You can not use transactions directly, you can but they would not be safe and guaranteed. If you plan to use transactions in your MySQL programming, then you need to create your tables in a special way. There are many types of tables, which support transactions but most popular one is InnoDB.
Support for InnoDB tables requires a specific compilation parameter when compiling MySQL from source. If your MySQL version does not have InnoDB support, ask your Internet Service Provider to build a version of MySQL with support for InnoDB table types or download and install the MySQL-Max binary distribution for Windows or Linux/UNIX and work with the table type in a development environment.
If your MySQL installation supports InnoDB tables, simply add a TYPE=InnoDB definition to the table creation statement. For example, the following code creates an InnoDB table called tcount_tbl:
root@host# mysql -u root -p password;
Enter password:*******
mysql> use JAVATUTORIALS;
Database changed
mysql> create table javatcount_tbl
    -> (
    -> javatutorial_author varchar(40) NOT NULL,
    -> javatutorial_count  INT
    -> ) TYPE=InnoDB;
Query OK, 0 rows affected (0.05 sec)
Check the following link to know more about: InnoDB
You can use other table types like GEMINI or BDB, but it depends on your installation if it supports these two types.

MySQL Regular Expresions

You have seen MySQL pattern matching with LIKE ...%. MySQL supports another type of pattern matching operation based on regular expressions and the REGEXP operator. If you are aware of PHP or PERL, then it's very simple for you to understand because this matching is very similar to those scripting regular expressions.
Following is the table of pattern, which can be used along with REGEXP operator.
PatternWhat the pattern matches
^Beginning of string
$End of string
.Any single character
[...]Any character listed between the square brackets
[^...]Any character not listed between the square brackets
p1|p2|p3Alternation; matches any of the patterns p1, p2, or p3
*Zero or more instances of preceding element
+One or more instances of preceding element
{n}n instances of preceding element
{m,n}m through n instances of preceding element

Examples:

Now based on above table, you can device various type of SQL queries to meet your requirements. Here, I'm listing few for your understanding. Consider we have a table called person_tbl and it's having a field called name:
Query to find all the names starting with 'st'
mysql> SELECT name FROM person_tbl WHERE name REGEXP '^st';
Query to find all the names ending with 'ok'
mysql> SELECT name FROM person_tbl WHERE name REGEXP 'ok$';
Query to find all the names, which contain 'mar'
mysql> SELECT name FROM person_tbl WHERE name REGEXP 'mar';
Query to find all the names starting with a vowel and ending with 'ok'
mysql> SELECT name FROM person_tbl WHERE name REGEXP '^[aeiou]|ok$';