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)
The IGNORE number LINES option can be used to ignore lines at the
start of the file. For example, you can use IGNORE 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)
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
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
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
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.
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).
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...
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());
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);
}