
- MySQL - Home
- MySQL - Introduction
- MySQL - Features
- MySQL - Versions
- MySQL - Variables
- MySQL - Installation
- MySQL - Administration
- MySQL - PHP Syntax
- MySQL - Node.js Syntax
- MySQL - Java Syntax
- MySQL - Python Syntax
- MySQL - Connection
- MySQL - Workbench
- MySQL Databases
- MySQL - Create Database
- MySQL - Drop Database
- MySQL - Select Database
- MySQL - Show Database
- MySQL - Copy Database
- MySQL - Database Export
- MySQL - Database Import
- MySQL - Database Info
- MySQL Users
- MySQL - Create Users
- MySQL - Drop Users
- MySQL - Show Users
- MySQL - Change Password
- MySQL - Grant Privileges
- MySQL - Show Privileges
- MySQL - Revoke Privileges
- MySQL - Lock User Account
- MySQL - Unlock User Account
- MySQL Tables
- MySQL - Create Tables
- MySQL - Show Tables
- MySQL - Alter Tables
- MySQL - Rename Tables
- MySQL - Clone Tables
- MySQL - Truncate Tables
- MySQL - Temporary Tables
- MySQL - Repair Tables
- MySQL - Describe Tables
- MySQL - Add/Delete Columns
- MySQL - Show Columns
- MySQL - Rename Columns
- MySQL - Table Locking
- MySQL - Drop Tables
- MySQL - Derived Tables
- MySQL Queries
- MySQL - Queries
- MySQL - Constraints
- MySQL - Insert Query
- MySQL - Select Query
- MySQL - Update Query
- MySQL - Delete Query
- MySQL - Replace Query
- MySQL - Insert Ignore
- MySQL - Insert on Duplicate Key Update
- MySQL - Insert Into Select
- MySQL Indexes
- MySQL - Indexes
- MySQL - Create Index
- MySQL - Drop Index
- MySQL - Show Indexes
- MySQL - Unique Index
- MySQL - Clustered Index
- MySQL - Non-Clustered Index
- MySQL Operators and Clauses
- MySQL - Where Clause
- MySQL - Limit Clause
- MySQL - Distinct Clause
- MySQL - Order By Clause
- MySQL - Group By Clause
- MySQL - Having Clause
- MySQL - AND Operator
- MySQL - OR Operator
- MySQL - Like Operator
- MySQL - IN Operator
- MySQL - ANY Operator
- MySQL - EXISTS Operator
- MySQL - NOT Operator
- MySQL - NOT EQUAL Operator
- MySQL - IS NULL Operator
- MySQL - IS NOT NULL Operator
- MySQL - Between Operator
- MySQL - UNION Operator
- MySQL - UNION vs UNION ALL
- MySQL - MINUS Operator
- MySQL - INTERSECT Operator
- MySQL - INTERVAL Operator
- MySQL Joins
- MySQL - Using Joins
- MySQL - Inner Join
- MySQL - Left Join
- MySQL - Right Join
- MySQL - Cross Join
- MySQL - Full Join
- MySQL - Self Join
- MySQL - Delete Join
- MySQL - Update Join
- MySQL - Union vs Join
- MySQL Keys
- MySQL - Unique Key
- MySQL - Primary Key
- MySQL - Foreign Key
- MySQL - Composite Key
- MySQL - Alternate Key
- MySQL Triggers
- MySQL - Triggers
- MySQL - Create Trigger
- MySQL - Show Trigger
- MySQL - Drop Trigger
- MySQL - Before Insert Trigger
- MySQL - After Insert Trigger
- MySQL - Before Update Trigger
- MySQL - After Update Trigger
- MySQL - Before Delete Trigger
- MySQL - After Delete Trigger
- MySQL Data Types
- MySQL - Data Types
- MySQL - VARCHAR
- MySQL - BOOLEAN
- MySQL - ENUM
- MySQL - DECIMAL
- MySQL - INT
- MySQL - FLOAT
- MySQL - BIT
- MySQL - TINYINT
- MySQL - BLOB
- MySQL - SET
- MySQL Regular Expressions
- MySQL - Regular Expressions
- MySQL - RLIKE Operator
- MySQL - NOT LIKE Operator
- MySQL - NOT REGEXP Operator
- MySQL - regexp_instr() Function
- MySQL - regexp_like() Function
- MySQL - regexp_replace() Function
- MySQL - regexp_substr() Function
- MySQL Fulltext Search
- MySQL - Fulltext Search
- MySQL - Natural Language Fulltext Search
- MySQL - Boolean Fulltext Search
- MySQL - Query Expansion Fulltext Search
- MySQL - ngram Fulltext Parser
- MySQL Functions & Operators
- MySQL - Date and Time Functions
- MySQL - Arithmetic Operators
- MySQL - Numeric Functions
- MySQL - String Functions
- MySQL - Aggregate Functions
- MySQL Misc Concepts
- MySQL - NULL Values
- MySQL - Transactions
- MySQL - Using Sequences
- MySQL - Handling Duplicates
- MySQL - SQL Injection
- MySQL - SubQuery
- MySQL - Comments
- MySQL - Check Constraints
- MySQL - Storage Engines
- MySQL - Export Table into CSV File
- MySQL - Import CSV File into Database
- MySQL - UUID
- MySQL - Common Table Expressions
- MySQL - On Delete Cascade
- MySQL - Upsert
- MySQL - Horizontal Partitioning
- MySQL - Vertical Partitioning
- MySQL - Cursor
- MySQL - Stored Functions
- MySQL - Signal
- MySQL - Resignal
- MySQL - Character Set
- MySQL - Collation
- MySQL - Wildcards
- MySQL - Alias
- MySQL - ROLLUP
- MySQL - Today Date
- MySQL - Literals
- MySQL - Stored Procedure
- MySQL - Explain
- MySQL - JSON
- MySQL - Standard Deviation
- MySQL - Find Duplicate Records
- MySQL - Delete Duplicate Records
- MySQL - Select Random Records
- MySQL - Show Processlist
- MySQL - Change Column Type
- MySQL - Reset Auto-Increment
- MySQL - Coalesce() Function
MySQL - LOAD XML Statement
LOAD XML Statement
Using the LOAD XML statement, you can insert the contents of an XML file into a MySQL table. If you use the LOCAL clause, you can upload the local files contents into a table.
Syntax
Following is the syntax of the LOAD XML Statement −
LOAD DATA [LOCAL] INFILE 'file_name' [REPLACE | IGNORE] INTO TABLE table_name [ROWS IDENTIFIED BY '<tagname>'] [IGNORE number {LINES | ROWS}] [(field_name_or_user_var [, field_name_or_user_var] ...)] [SET col_name={expr | DEFAULT} [, col_name={expr | DEFAULT}] ...]
You can create an XML file in one of the following three ways −
<row column1="value1" column2="value2" .../> Or, <row> <column1>value1</column1> <column2>value2</column2> </row> Or, <row> <field name='column1'>value1</field> <field name='column2'>value2</field> </row>
Example
Assume we have created a table using the CREATE statement as shown below −
CREATE TABLE EMPLOYEE( MySQL LOAD XML Statement FIRST_NAME CHAR(20) NOT NULL, LAST_NAME CHAR(20), AGE INT, INCOME INT);
And if we have a file named data.xml with contents as −
<row> <FIRST_NAME>krishna</FIRST_NAME> <LAST_NAME>sharma</LAST_NAME> <AGE>19</AGE> <INCOME>2000</INCOME> </row> <row> <FIRST_NAME>raj</FIRST_NAME> <LAST_NAME>Kandukuri</LAST_NAME> <AGE>20</AGE> <INCOME>7000</INCOME> </row> <row> <FIRST_NAME>ramya</FIRST_NAME> <LAST_NAME>ramapriya</LAST_NAME> <AGE>25</AGE> <INCOME>5000</INCOME> </row> <row> <FIRST_NAME>Alexandra</FIRST_NAME> <LAST_NAME>Botez</LAST_NAME> <AGE>26</AGE> <INCOME>2000</INCOME> </row>
Following query loads the contents of the data.xml file into the above created table −
load xml infile "C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/data.xml" into table employee ROWS IDENTIFIED BY '<row>';
Verification
If you verify the contents of the Employee table you can observe the records in it as −
SELECT * FROM EMPLOYEE;
Output
The above mysql query generates the following output −
FIRST_NAME | LAST_NAME | AGE | INCOME |
---|---|---|---|
krishna | sharma | 19 | 2000 |
raj | Kandukuri | 20 | 7000 |
ramya | ramapriya | 25 | 5000 |
Alexandra | Botez | 26 | 2000 |
The SET clause
While working with the LOAD XML statement you need to make sure that the tag names in the xml file are same as the names of the columns of the table otherwise an error occurs.
In the LOAD XML statement, you can treat the values from the file as user variables, and assign them as values to the columns of a table using the SET clause.
Example
Assume we have created a table with name EMP using the CREATE statement as shown below −
CREATE TABLE EMP (FIRSTNAME VARCHAR(15), DEPARTMENT VARCHAR(25), SALARY INT);
Assume we have an xml file with name data.xml as shown below −
<row> <f_name>Rahman</f_name> <dpt>IT</age> <sal>5000</income> </row> <row> <f_name>Ram</f_name> <dpt>HR</age> <sal>7000</income> </row> <row> <f_name>Robert</f_name> <dpt>SALES</age> <sal>9000</income> </row> <row> <f_name>ramya</f_name> <dpt>IT</age> <sal>7000</income> </row>
Following query reads the contents of the xml file in to the EMP table using the SET clause −
load xml infile "C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/data.xml"into table emp (@f_name, @dpt, @sal) SET FIRSTNAME=@f_name, DEPARTMENT=@dpt, SALARY=@sal;
Verification
After executing the LOAD statement, you can verify the contents of the EMP table as shown below −
SELECT * FROM EMP;
Output
Following is the output of the above query −
FIRSTNAME | DEPARTMENT | SALARY |
---|---|---|
Rahman | IT | 5000 |
Ram | HR | 7000 |
Robert | SALES | 9000 |
ramya | IT | 7000 |
If you import the contents of an .xml file into a table using the LOAD XML statement, only the values corresponding to the columns in the person table, they are skipped.
Example
Assume we have created a table named TEST using the CREATE statement as shown below −
CREATE TABLE TEST (name VARCHAR(15), sal INT);
If we have an xml (data.xml) file as shown below −
<rowglt; <nameglt;Rahman</nameglt; <dptglt;IT</ageglt; <salglt;5000</incomeglt; <cityglt;Hyderabad</cityglt; </rowglt; <rowglt; <nameglt;Ram</nameglt; <dptglt;HR</ageglt; <salglt;7000</incomeglt; <cityglt;Vishakhapatnam</cityglt; </rowglt; <rowglt; <nameglt;Robert</nameglt; <dptglt;SALES</ageglt; <salglt;9000</incomeglt; <cityglt;Chennai</cityglt; </rowglt; <rowglt; <nameglt;ramya</nameglt; <dptglt;IT</ageglt; <salglt;7000</incomeglt; <cityglt;Delhi</cityglt; </rowglt;
Following query loads the data from data.xml into the test table.
load xml infile "C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/data.xml" into table TEST ROWS IDENTIFIED BY '<row>';
Verification
After executing the LOAD statement, you can verify the contents of the test table as shown below −
SELECT * FROM TEST;
Output
The above query generates the following output −
name | sal |
---|---|
Rahman | 5000 |
Ram | 7000 |
Robert | 9000 |
ramya | 7000 |