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MySQL LOAD DATA: Recovery Database

LOAD DATA is a MySQL statement that allows you to import data from a text file into a table in your database. It's faster than using INSERT statements for importing large amounts of data. In this tutorial, we'll show you how to use LOAD DATA to import data from a CSV (Comma-Separated Values) file into a MySQL table.

Prerequisites:

A MySQL server up and running
Access to a MySQL user account with privileges to create and modify tables

Tutorial:

Create a sample CSV file:

Create a CSV file named sample_data.csv with the following content:

1,John,Doe,35
2,Jane,Smith,28
3,Mark,Johnson,23
4,Emily,Jones,30

This sample file represents a table with four columns: id, first_name, last_name, and age.

Create a MySQL table:

mysql -u [username] -p

Replace [username] with your MySQL username, and enter your password when prompted.

Create a new database, if necessary:

CREATE DATABASE IF NOT EXISTS sample_db;

Use the new database:

USE sample_db;

Create a new table to hold the data from the CSV file:

CREATE TABLE users (
  id INT PRIMARY KEY,
  first_name VARCHAR(50),
  last_name VARCHAR(50),
  age INT
);

Load data from the CSV file:

Use the LOAD DATA statement to import data from the CSV file into the users table:

LOAD DATA LOCAL INFILE '/path/to/sample_data.csv'
INTO TABLE users
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n';

Replace /path/to/sample_data.csv with the actual path to your CSV file.

Verify the imported data:

Run a SELECT statement to verify that the data has been imported correctly:

SELECT * FROM users;

You should see the following output:

+----+------------+-----------+-----+
| id | first_name | last_name | age |
+----+------------+-----------+-----+
|  1 | John       | Doe       |  35 |
|  2 | Jane       | Smith     |  28 |
|  3 | Mark       | Johnson   |  23 |
|  4 | Emily      | Jones     |  30 |
+----+------------+-----------+-----+

Exit the MySQL command-line client:

EXIT;

Now you've successfully imported data from a CSV file into a MySQL table using the LOAD DATA statement. This method can be adapted for other file formats, such as TSV (Tab-Separated Values), by adjusting the FIELDS TERMINATED BY option.

Recovering MySQL database from binary logs:
- Use mysqlbinlog to convert binary logs to SQL statements:
```
mysqlbinlog binary-log-file | mysql -u username -p
```
MySQL InnoDB recovery process:
- InnoDB automatically recovers from crashes. If needed, use the InnoDB recovery process:
```
systemctl stop mysql
mv /var/lib/mysql/ibdata1 /var/lib/mysql/ibdata1.bak
systemctl start mysql
```
Recovering dropped tables in MySQL:
- Use backup or recovery tools to restore dropped tables:
```
CREATE TABLE recovered_table AS SELECT * FROM backup_table;
```