Table definition:
CREATE TABLE emp( empno INT(11) NOT NULL, ename VARCHAR(10) DEFAULT NULL, job VARCHAR(9) DEFAULT NULL, mgr DECIMAL(4, 0) DEFAULT NULL, hiredate DATE DEFAULT NULL, sal DECIMAL(7, 2) DEFAULT NULL, comm DECIMAL(7, 2) DEFAULT NULL, deptno INT(11) DEFAULT NULL, PRIMARY KEY (empno) );
CSV-file 'emp.csv':
"empno";"ename";"job";"mgr";"hiredate";"sal";"comm";"deptno" 7369;"SMITH";"CLERK";7902;1980.12.17;800,0;null;20 7499;"ALLEN";"SALESMAN";7698;1981.02.20;1600,0;300,0;30 7521;"WARD";"SALESMAN";7698;1981.02.22;1250,0;500,0;30 7566;"JONES";"MANAGER";7839;1981.04.02;2975,0;null;20 7654;"MARTIN";"SALESMAN";7698;1981.09.28;1250,0;1400,0;30
Now, we are going to import data from 'data.csv' to 'mytable':
LOAD DATA INFILE 'emp.csv' INTO TABLE emp FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY 'rn' IGNORE 1 LINES;
'IGNORE 1 LINES' is used to skip table header in CSV-file.
Check result:
SELECT * FROM emp; +-------+--------+----------+------+------------+---------+---------+--------+ | empno | ename | job | mgr | hiredate | sal | comm | deptno | +-------+--------+----------+------+------------+---------+---------+--------+ | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800.00 | 0.00 | 20 | | 7499 | ALLEN | SALESMAN | 7698 | 1981-02-20 | 1600.00 | 300.00 | 30 | | 7521 | WARD | SALESMAN | 7698 | 1981-02-22 | 1250.00 | 500.00 | 30 | | 7566 | JONES | MANAGER | 7839 | 1981-04-02 | 2975.00 | 0.00 | 20 | | 7654 | MARTIN | SALESMAN | 7698 | 1981-09-28 | 1250.00 | 1400.00 | 30 | +-------+--------+----------+------+------------+---------+---------+--------+
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