I have a 350MB file named text_file.txt
containing this tab delimited data:
345868230 1646198120 1531283146 Keyword_1531283146 1.55 252910000
745345566 1646198120 1539847239 another_1531276364 2.75 987831000
...
MySQL Database name: Xml_Date
Database table: PerformanceReport
I have already created the table with all the destination fields.
I want to import this text file data into a MySQL. I googled and found some commands like LOAD DATA INFILE
and quite confused on how to use it.
How can I import this text file data?
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mysql
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The LOAD DATA INFILE statement reads rows from a text file into a table at a very high speed.
LOAD DATA INFILE '/tmp/test.txt'
INTO TABLE test
FIELDS TERMINATED BY ','
LINES STARTING BY 'xxx';
If the data file looks like this:
xxx"abc",1
something xxx"def",2
"ghi",3
The resulting rows will be ("abc",1) and ("def",2). The third row in the file is skipped because it does not contain the prefix.
LOAD DATA INFILE 'data.txt'
INTO TABLE tbl_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
You can also load data files by using the mysqlimport utility; it operates by sending a LOAD DATA INFILE statement to the server
mysqlimport -u root -ptmppassword --local test employee.txt
test.employee: Records: 3 Deleted: 0 Skipped: 0 Warnings: 0
If your table is separated by others than tabs, you should specify it like...
LOAD DATA LOCAL
INFILE '/tmp/mydata.txt' INTO TABLE PerformanceReport
COLUMNS TERMINATED BY '\t' ## This should be your delimiter
OPTIONALLY ENCLOSED BY '"'; ## ...and if text is enclosed, specify here
LOAD DATA INFILE '/home/userlap/data2/worldcitiespop.txt' INTO TABLE cc FIELDS TERMINATED BY ','LINES TERMINATED BY '\r \n' IGNORE 1 LINES;
1. if it's tab delimited txt file:
LOAD DATA LOCAL INFILE 'D:/MySQL/event.txt' INTO TABLE event
LINES TERMINATED BY '\r\n';
2. otherwise:
LOAD DATA LOCAL INFILE 'D:/MySQL/event.txt' INTO TABLE event
FIELDS TERMINATED BY 'x' (here x could be comma ',', tab '\t', semicolon ';', space ' ')
LINES TERMINATED BY '\r\n';
Walkthrough on using MySQL's LOAD DATA command:
Create your table:
CREATE TABLE foo(myid INT, mymessage VARCHAR(255), mydecimal DECIMAL(8,4));
Create your tab delimited file (note there are tabs between the columns):
1 Heart disease kills 1.2
2 one out of every two 2.3
3 people in America. 4.5
Use the load data command:
LOAD DATA LOCAL INFILE '/tmp/foo.txt'
INTO TABLE foo COLUMNS TERMINATED BY '\t';
If you get a warning that this command can't be run, then you have to enable the --local-infile=1
parameter described here: How can I correct MySQL Load Error
The rows get inserted:
Query OK, 3 rows affected (0.00 sec)
Records: 3 Deleted: 0 Skipped: 0 Warnings: 0
Check if it worked:
mysql> select * from foo;
+------+----------------------+-----------+
| myid | mymessage | mydecimal |
+------+----------------------+-----------+
| 1 | Heart disease kills | 1.2000 |
| 2 | one out of every two | 2.3000 |
| 3 | people in America. | 4.5000 |
+------+----------------------+-----------+
3 rows in set (0.00 sec)
How to specify which columns to load your text file columns into:
Like this:
LOAD DATA LOCAL INFILE '/tmp/foo.txt' INTO TABLE foo
FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n'
(@col1,@col2,@col3) set myid=@col1,mydecimal=@col3;
The file contents get put into variables @col1, @col2, @col3. myid gets column 1, and mydecimal gets column 3. If this were run, it would omit the second row:
mysql> select * from foo;
+------+-----------+-----------+
| myid | mymessage | mydecimal |
+------+-----------+-----------+
| 1 | NULL | 1.2000 |
| 2 | NULL | 2.3000 |
| 3 | NULL | 4.5000 |
+------+-----------+-----------+
3 rows in set (0.00 sec)
You should set the option:
local-infile=1
into your [mysql] entry of my.cnf file or call mysql client with the --local-infile option:
mysql --local-infile -uroot -pyourpwd yourdbname
You have to be sure that the same parameter is defined into your [mysqld] section too to enable the "local infile" feature server side.
It's a security restriction.
LOAD DATA LOCAL INFILE '/softwares/data/data.csv' INTO TABLE tableName;
Source: Stackoverflow.com