How can I import a CSV file into a MySQL table? I would like for the first row of data be used as the column names.
I read How do I import CSV file into a MySQL table?, but the only answer was to use a GUI and not a shell?
How can I import a CSV file into a MySQL table? I would like for the first row of data be used as the column names.
I read How do I import CSV file into a MySQL table?, but the only answer was to use a GUI and not a shell?
Instead of writing a script to pull in information from a CSV file, you can link MYSQL directly to it and upload the information using the following SQL syntax.
To import an Excel file into MySQL, first export it as a CSV file. Remove the CSV headers from the generated CSV file along with empty data that Excel may have put at the end of the CSV file.
You can then import it into a MySQL table by running:
load data local infile 'uniq.csv' into table tblUniq fields terminated by ','
enclosed by '"'
lines terminated by '\n'
(uniqName, uniqCity, uniqComments)
as read on: Import CSV file directly into MySQL
For your case, you'll need to write an interpreter first, for finding the first row, and assigning them as column names.
From MySQL docs on LOAD DATA
syntax:
The
IGNORE number LINES
option can be used to ignore lines at the start of the file. For example, you can useIGNORE 1 LINES
to skip over an initial header line containing column names:LOAD DATA INFILE '/tmp/test.txt' INTO TABLE test IGNORE 1 LINES;
Therefore, you can use the following statement:
LOAD DATA LOCAL INFILE 'uniq.csv'
INTO TABLE tblUniq
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 LINES
(uniqName, uniqCity, uniqComments)
IGNORE 1 LINES
to the query –
Kiersten LOAD DATA LOCAL INFILE
? or just LOAD DATA INFILE
? –
Fbi Here's a simple PHP command line script that will do what you need:
<?php
$host = 'localhost';
$user = 'root';
$pass = '';
$database = 'database';
$db = mysqli_connect($host, $user, $pass) or die ("could not connect to mysql");
mysqli_select_db($db, $database) or die ("no database");
/********************************************************************************/
// Parameters: filename.csv table_name
$argv = $_SERVER[argv];
if($argv[1]) { $file = $argv[1]; }
else {
echo "Please provide a file name\n"; exit;
}
if($argv[2]) { $table = $argv[2]; }
else {
$table = pathinfo($file);
$table = $table['filename'];
}
/********************************************************************************/
// Get the first row to create the column headings
$fp = fopen($file, 'r');
$frow = fgetcsv($fp);
foreach($frow as $column) {
if($columns) $columns .= ', ';
$columns .= "`$column` varchar(250)";
}
$create = "create table if not exists $table ($columns);";
mysqli_query($db, $create) or die(mysqli_error($db));
/********************************************************************************/
// Import the data into the newly created table.
$file = $_SERVER['PWD'].'/'.$file;
$q = "LOAD DATA INFILE '$file' INTO TABLE $table FIELDS TERMINATED BY ',' ENCLOSED BY '\"' LINES TERMINATED BY '\n' ignore 1 lines;";
mysqli_query($db, $q) or die(mysqli_error($db));
?>
It will create a table based on the first row and import the remaining rows into it. Here is the command line syntax:
php csv_import.php csv_file.csv table_name
fields terminated by ','
...it even works with partially double quoted CSVs. –
Quintilla ENCLOSED BY '\"'
... also, lots of people will need LINES TERMINATED BY '\r\n'
if using a CSV from Windows. And finally, escaping the field names with backticks is wise in case there are spaces: $columns .= "`$column` varchar(250)";
–
Marva if you have the ability to install phpadmin there is a import section where you can import csv files to your database there is even a checkbox to set the header to the first line of the file contains the table column names (if this is unchecked, the first line will become part of the data
First create a table in the database with same numbers of columns that are in the csv file.
Then use following query
LOAD DATA INFILE 'D:/Projects/testImport.csv' INTO TABLE cardinfo
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
If you start mysql as "mysql -u -p --local-infile ", it will work fine
To load data from text file or csv file the command is
load data local infile 'file-name.csv'
into table table-name
fields terminated by '' enclosed by '' lines terminated by '\n' (column-name);
In above command, in my case there is only one column to be loaded so there is no "terminated by" and "enclosed by" so I kept it empty else programmer can enter the separating character . for e.g . ,(comma) or " or ; or any thing.
**for people who are using mysql version 5 and above **
Before loading the file into mysql must ensure that below tow line are added in side etc/mysql/my.cnf
to edit my.cnf command is
sudo vi /etc/mysql/my.cnf
[mysqld]
local-infile
[mysql]
local-infile
I wrote some code to do this, i'll put in a few snippets:
$dir = getcwd(); // Get current working directory where this .php script lives
$fileList = scandir($dir); // scan the directory where this .php lives and make array of file names
Then get the CSV headers so you can tell mysql how to import (note: make sure your mysql columns exactly match the csv columns):
//extract headers from .csv for use in import command
$headers = str_replace("\"", "`", array_shift(file($path)));
$headers = str_replace("\n", "", $headers);
Then send your query to the mysql server:
mysqli_query($cons, '
LOAD DATA LOCAL INFILE "'.$path.'"
INTO TABLE '.$dbTable.'
FIELDS TERMINATED by \',\' ENCLOSED BY \'"\'
LINES TERMINATED BY \'\n\'
IGNORE 1 LINES
('.$headers.')
;
')or die(mysql_error());
LOAD DATA INFILE
statement allows loading data from a file directly into a table:
LOAD DATA INFILE 'path_to_csv_file'
INTO TABLE your_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
An alternative approach involves utilizing the dbForge Studio IDE for MySQL, which facilitates seamless data export and import. The Data Export and Data Import Wizards make the process easy, with step-by-step instructions. You can export specific rows or a range of rows, and you can import data into a new table or an existing one. You can export MySQL data to a variety of formats, including HTML, TXT, XLS, XLSX, MDB, RTF, PDF, JSON, XML, CSV, ODBC, DBF, SQL, and Google Sheets
.
I wrestled with this for some time. The problem lies not in how to load the data, but how to construct the table to hold it. You must generate a DDL statement to build the table before importing the data.
Particularly difficult if the table has a large number of columns.
Here's a python script that (almost) does the job:
#!/usr/bin/python
import sys
import csv
# get file name (and hence table name) from command line
# exit with usage if no suitable argument
if len(sys.argv) < 2:
sys.exit('Usage: ' + sys.argv[0] + ': input CSV filename')
ifile = sys.argv[1]
# emit the standard invocation
print 'create table ' + ifile + ' ('
with open(ifile + '.csv') as inputfile:
reader = csv.DictReader(inputfile)
for row in reader:
k = row.keys()
for item in k:
print '`' + item + '` TEXT,'
break
print ')\n'
The problem it leaves to solve is that the final field name and data type declaration is terminated with a comma, and the mySQL parser won't tolerate that.
Of course it also has the problem that it uses the TEXT data type for every field. If the table has several hundred columns, then VARCHAR(64) will make the table too large.
This also seems to break at the maximum column count for mySQL. That's when it's time to move to Hive or HBase if you are able.
Here's how I did it in Python using csv and the MySQL Connector:
import csv
import mysql.connector
credentials = dict(user='...', password='...', database='...', host='...')
connection = mysql.connector.connect(**credentials)
cursor = connection.cursor(prepared=True)
stream = open('filename.csv', 'rb')
csv_file = csv.DictReader(stream, skipinitialspace=True)
query = 'CREATE TABLE t ('
query += ','.join('`{}` VARCHAR(255)'.format(column) for column in csv_file.fieldnames)
query += ')'
cursor.execute(query)
for row in csv_file:
query = 'INSERT INTO t SET '
query += ','.join('`{}` = ?'.format(column) for column in row.keys())
cursor.execute(query, row.values())
stream.close()
cursor.close()
connection.close()
Key points
'rb'
binaryskipinitialspace
option.255
isn't wide enough you'll get errors on INSERT and have to start over.ALTER TABLE t MODIFY `Amount` DECIMAL(11,2);
ALTER TABLE t ADD `id` INT PRIMARY KEY AUTO_INCREMENT;
Import CSV Files into mysql table
LOAD DATA LOCAL INFILE 'd:\\Site.csv' INTO TABLE `siteurl` FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\r\n';
Character Escape Sequence
\0 An ASCII NUL (0x00) character
\b A backspace character
\n A newline (linefeed) character
\r A carriage return character
\t A tab character.
\Z ASCII 26 (Control+Z)
\N NULL
visits : http://www.webslessons.com/2014/02/import-csv-files-using-php-and-mysql.html
As others have mentioned, the load data local infile works just fine. I tried the php script that Hawkee posted, but it didn't work for me. Rather than debugging it, here's what I did:
1) Copy/paste the header row of the CSV file into a txt file and edit it with Emacs. Add a comma and CR between each field to get each on its own line.
2) Save that file as FieldList.txt.
3) Edit the file to include definitions for each field (most were varchar, but quite a few were int(x). Add create table *tablename* (to the beginning of the file and) to the end of the file. Save it as CreateTable.sql.
4) Start the mysql client with input from the Createtable.sql file to create the table.
5) Start the mysql client, copy/paste in most of the 'LOAD DATA INFILE' command substituting my table name and csv file name. Paste in the FieldList.txt file. Be sure to include the 'IGNORE 1 LINES' before pasting in the field list.
It sounds like a lot of work, but it's easy with Emacs...
Use TablePlus application: Right-Click on the table name from the right panel Choose Import... > From CSV Choose CSV file Review column matching and hit Import All done!
So I attempted to use the script give by Hawkee but some of the commands are outdated. Using mysql_X is depreciated and needs to be replaced by mysqli_x. After doing some troubleshooting I wrote the following script and it is working nicely.
Please note: the following code assumes that you are entering floats. I used this script to import percentiles from the WHO for stats related to growth.
use -drop (before the file name) if you want to drop the table
<?php
//This script is for importing the percentile values.
//Written by Daniel Pflieger @ GrowlingFlea Software
$host = 'localhost';
$user = 'root';
$pass = '';
$database = '';
//options. This is what we need so the user can specify whether or not to drop the table
$short_options = "d::";
$options = getopt($short_options);
//check if the flag "-drop" is entered by the end user.
if (!empty($options) && $options['d'] != "rop"){
echo "The only available argument is -drop \n";
exit;
} else if (!empty($options)){
$dropTable = true;
} else {
$dropTable = false;
}
//we use mysqli_* since this is required with newer versions of php
$db = mysqli_connect($host, $user, $pass, $database);
// argv changes if the drop flag is used. here we read in the name of the .csv file we want to import
if (isset($argv[1]) && empty($options) ) {
$file = $argv[1];
} else if (isset($argv[2]) && $options[1] = "rop" ) {
$file = $argv[2];
}
//we call the table name the name of the file. Since this script was used to import who growth chart info
//I appended the '_birth_to_5yrs' to the string. You probably want to remove this and add something that
//makes sense to you
$table = pathinfo($file);
$table = "who_" . $table['filename'] . "_birth_to_5yrs";
$table = str_replace('-', '_', $table);
// We read the first line of the .csv file. It is assumed that these are the headers.
$fp = fopen($file, 'r');
$frow = fgetcsv($fp);
$columns = '';
//we get the header names and for this purpose we make every value 'float'. If you are unsure of
//the datatype you can probably use varchar(250).
foreach($frow as $column) {
$columns .= "`" .$column . "` float,";
}
//drop the table to prevent data issues, if that is what the end user selects
if ($dropTable) {
mysqli_query($db, "drop table if exists $table");
}
// here we form the create statement and we create the table.
// we use the mysqli_real_escape_string to make sure we dont damage the DB
$create = "create table if not exists $table ($columns);";
$create = str_replace(',)', ')', $create);
$create = mysqli_real_escape_string($db, $create);
mysqli_query($db, $create);
// We read the values line-by-line in the .csv file and insert them into the table until we are done.
while ($frow = fgetcsv($fp)){
$insert = implode(", ", $frow);
$insert = "Insert into $table VALUES ( $insert )";
$insert = mysqli_real_escape_string($db, $insert);
$insert = mysqli_query($db, $insert);
}
An example of how to run the script:
php ../git/growlingflea-dev-tools/importCSV.php -drop wfh-female-percentiles-expanded-tables.csv
I have google search many ways to import csv to mysql, include " load data infile ", use mysql workbench, etc.
when I use mysql workbench import button, first you need to create the empty table on your own, set each column type on your own. Note: you have to add ID column at the end as primary key and not null and auto_increment, otherwise, the import button will not visible at later. However, when I start load CSV file, nothing loaded, seems like a bug. I give up.
Lucky, the best easy way so far I found is to use Oracle's mysql for excel. you can download it from here mysql for excel
This is what you are going to do: open csv file in excel, at Data tab, find mysql for excel button
select all data, click export to mysql. Note to set a ID column as primary key.
when finished, go to mysql workbench to alter the table, such as currency type should be decimal(19,4) for large amount decimal(10,2) for regular use. other field type may be set to varchar(255).
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LOAD DATA INFILE
that can be used to read and format CSV files. It is very powerful, but not very well-documented. This article does a good job of explaining how to use it: blog.terresquall.com/2021/11/… – Iqbal