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Mysql command line insert sql file3/18/2024 ![]() ![]() Now, when we restore the database, the command executes all the SQL Statements to create tables and insert the data. As I mentioned, when we generate a backup of the MySQL database, it creates a backup file that contains SQL commands that are necessary to rebuild or restore the database. ![]() This command is easy to use, but the only problem that occurs while restoring the database. The command can also be used to generate the output in the XML, delimited text, or CSV format. It produces the SQL Statements that can be used to recreate the database objects and data. Mysqldump is a command-line utility that is used to generate the logical backup of the MySQL database. In this article, I am going to explain how we can use mysqldump to generate the backup of the MySQL database. ![]() Generate backups using the Replication of Slaves Generate Incremental backups using Binary Log Generate the backup using mysqldump utility We can generate the backup of the MySQL database using any of the following methods: I am going to explain the native methods that are used to generate the backup of the database. Here, we are not going to discuss any third-party vendor’s backup solutions. Many vendors provide state-of-the-art software and hardware solutions that can help to back up the database, and it can restore the database within the defined RTO and RPO. If the system or data center fails, database corruption, and data loss, we must be able to recover it within the defined SLA.ĭifferent database platforms provide various methods to generate the backup and restore the database. As database administrators, it is our primary and crucial job to keep the data available and safe. As we know, data is a valuable asset to the organization. INSERT INTO table_to (column1, column2.In this article, I am going to explain different ways to generate the backup in the MySQL database server. SELECT statement following is the syntax to do so − You can select desired column values from one table and insert them as a record into another table using the INSERT. If you retrieve the contents of the SALES table using the SELECT statement you can observe the inserted row as shown belowįollowing is the output of the above program − ID Here, we are passing values only to the ProductName, CustomerName and Price columns (remaining values will be NULL) − Exampleįollowing query inserts a record into the SALES table using the INSERT.SET statement. If you insert record using this statement the values of other columns will be null. are the selected column names and the respective values. Where, table_name is the name of the table into which you need to insert the record and column_name1 = value1, column_name2 = value2. INSERT INTO table_name SET column_name1 = value1, column_name2=value2s. Following is the syntax of this statement − You can insert a record by setting values to selected columns using the INSERT.SET statement. The above query will produce the following output − ID If you verify the contents of the Sales table using the SELECT statement you can observe the inserted records as shown below − Now, let us insert 3 more records in Sales table. Insert into sales values(2, 'Earphones', 'Roja', DATE(''), If you pass the values to the INSERT statement in the same order as in the table you can omit the column names − ![]() ExampleĪssume we have created a table with name Sales in MySQL database using CREATE TABLE statement as shown belowįollowing query inserts a row in the above created table − Where, table_name is the name of the table into which you need to insert data, (column1, column2, lumnN) are the names of the columns and (value1, value2, value3.valueN) are the values in the record. INSERT INTO table_name (column1, column2, lumnN) Syntaxįollowing is the syntax of the INSERT statement of MySQL. In this, you need to specify the name of the table, column names, and values (in the same order as column names). You can add new rows to an existing table of MySQL using the INSERT statement. MySQL - Query Expansion Fulltext Search.MySQL - Natural Language Fulltext Search. ![]()
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