MYSQL import data from csv using LOAD DATA INFILE

Question

I am importing some data of 20000 rows from a CSV file into Mysql.

Columns in the CSV are in a different order than MySQL table's columns. How to automatically assign columns corresponding to Mysql table columns?

When I execute

LOAD DATA INFILE'abc.csv' INTO TABLE abc

this query adds all data to the first column.

Please suggest auto syntax for importing data to Mysql.

Answer 1

You can use LOAD DATA INFILE command to import csv file into table.

Check this link MySQL - LOAD DATA INFILE.

LOAD DATA LOCAL INFILE 'abc.csv' INTO TABLE abc
FIELDS TERMINATED BY ',' 
ENCLOSED BY '"' 
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES
(col1, col2, col3, col4, col5...);

For MySQL 8.0 users:

Using the LOCAL keyword hold security risks and as of MySQL 8.0 the LOCAL capability is set to False by default. You might see the error:

ERROR 1148: The used command is not allowed with this MySQL version

You can overwrite it by following the instructions in the docs. Beware that such overwrite does not solve the security issue but rather just an acknowledge that you are aware and willing to take the risk.

Answer 2

You probably need to set the FIELDS TERMINATED BY ',' or whatever the delimiter happens to be.

For a CSV file, your statement should look like this:

LOAD DATA INFILE 'data.csv' INTO TABLE tbl_name
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;

Answer 3

Before importing the file, you must need to prepare the following:

• A database table to which the data from the file will be imported.
• A CSV file with data that matches with the number of columns of the table and the type of data in each column.
• The account, which connects to the MySQL database server, has FILE and INSERT privileges.

Suppose we have following table :

CREATE TABLE USING FOLLOWING QUERY :

CREATE TABLE IF NOT EXISTS `survey` (
  `projectId` bigint(20) NOT NULL,
  `surveyId` bigint(20) NOT NULL,
  `views` bigint(20) NOT NULL,
  `dateTime` datetime NOT NULL
);

YOUR CSV FILE MUST BE PROPERLY FORMATTED FOR EXAMPLE SEE FOLLOWING ATTACHED IMAGE :

If every thing is fine.. Please execute following query to LOAD DATA FROM CSV FILE :

NOTE : Please add absolute path of your CSV file

LOAD DATA INFILE '/var/www/csv/data.csv' 
INTO TABLE survey 
FIELDS TERMINATED BY ',' 
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;

If everything has done. you have exported data from CSV to table successfully

Answer 4

Syntax:

LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL]
INFILE 'file_name' INTO TABLE `tbl_name`
CHARACTER SET [CHARACTER SET charset_name]
FIELDS [{FIELDS | COLUMNS}[TERMINATED BY 'string']] 
[LINES[TERMINATED BY 'string']] 
[IGNORE number {LINES | ROWS}]

See this Example:

LOAD DATA LOCAL INFILE
'E:\\wamp\\tmp\\customer.csv' INTO TABLE `customer`
CHARACTER SET 'utf8'
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;

Answer 5

Insert bulk more than 7000000 record in 1 minutes in database(superfast query with calculation)

    LOAD DATA LOCAL INFILE "'.$file.'"
    INTO TABLE tablename
    FIELDS TERMINATED by \',\'
    LINES TERMINATED BY \'\n\'
    IGNORE 1 LINES
    (isbn10,isbn13,price,discount,free_stock,report,report_date)
     SET RRP = IF(discount = 0.00,price-price * 45/100,IF(discount = 0.01,price,IF(discount != 0.00,price-price * discount/100,@RRP))),
         RRP_nl = RRP * 1.44 + 8,
         ID = NULL

RRP and RRP_bl is not in csv but we are calculated that and after insert that.

Answer 6

If you are running LOAD DATA LOCAL INFILE from the windows shell, and you need to use OPTIONALLY ENCLOSED BY '"', you will have to do something like this in order to escape characters properly:

"C:\Program Files\MySQL\MySQL Server 5.6\bin\mysql" -u root --password=%password% -e "LOAD DATA LOCAL INFILE '!file!' INTO TABLE !table! FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"^""' LINES TERMINATED BY '\n' IGNORE 1 LINES" --verbose --show-warnings > mysql_!fname!.out

Answer 7

let suppose you are using xampp and phpmyadmin

you have file name 'ratings.txt' table name 'ratings' and database name 'movies'

if your xampp is installed in "C:\xampp\"

copy your "ratings.txt" file in "C:\xampp\mysql\data\movies" folder

LOAD DATA INFILE 'ratings.txt' INTO TABLE ratings FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\r\n' IGNORE 1 LINES;

Hope this can help you to omit your error if you are doing this on localhost

Answer 8

You can try to insert like this :

LOAD DATA INFILE '/tmp/filename.csv' replace INTO TABLE [table name] FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' (field1,field2,field3);

Answer 9

You can load data from a csv or text file. If you have a text file with records from a table, you can load those records within the table. For example if you have a text file, where each row is a record with the values for each column, you can load the records this way.

table.sql

id //field 1

name //field2

table.txt

1,peter

2,daniel

...

--example on windows

LOAD DATA LOCAL INFILE 'C:\\directory_example\\table.txt'
INTO TABLE Table
CHARACTER SET UTF8
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\r\n'; 

Answer 10

I was getting Error Code: 1290. The MySQL server is running with the --secure-file-priv option so it cannot execute this statement

This worked for me on windows 8.1 64 bit using wampserver 3.0.6 64bit.

Edited my.ini file from C:\wamp64\bin\mysql\mysql5.7.14

Delete entry secure_file_priv c:\wamp64\tmp\ (or whatever dir you have here)

Stopped everything -exit wamp etc.- and restarted everything; then punt my cvs file on C:\wamp64\bin\mysql\mysql5.7.14\data\u242349266_recur (the last dir being my database name)

executed LOAD DATA INFILE 'myfile.csv'

INTO TABLE alumnos

FIELDS TERMINATED BY ','

ENCLOSED BY '"'

LINES TERMINATED BY '\r\n'

IGNORE 1 LINES

... and VOILA!!!

Answer 11

By these days (ending 2019) I prefer to use a tool like http://www.convertcsv.com/csv-to-sql.htm I you got a lot of rows you can run partitioned blocks saving user mistakes when csv come from a final user spreadsheet.