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Create mysql table directly from CSV file using the CSV Storage engine?

Posted by: admin November 1, 2017 Leave a comment

Questions:

I just learned that Mysql has a Native CSV storage engine which stores data in a Comma Separated Value file per table.

Is it possible to create a table directly from a uploaded CSV file, something like:

CREATE TABLE USERS < PATH/USERS.CSV

where users.csv is uploaded by the user?

Answers:

This is not possible. To create table you need a table schema. What you have is a data file. Schema cannot be created with it. What you can do is check if your file has header row. In that case you can create table using that header row but manually.

However there is a way to generate create table statement by a batch file as described by John Swapceinski in the comment section of MySQL manual.

Posted by John Swapceinski on September 5 2011 5:33am.
Create a table using the .csv file’s header:

#!/bin/sh
# pass in the file name as an argument: ./mktable filename.csv
echo "create table $1 ( "
head -1 $1 | sed -e 's/,/ varchar(255),\n/g'
echo " varchar(255) );"

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Just discovered csvkit, which is a set of unix command line tools for CSV files. Installed on my Mac with pip install csvkit and the command was:

 csvsql --dialect mysql --snifflimit 100000 bigdatafile.csv > maketable.sql

You can alternatively provide a db connection string and it can load the table directly.

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I know that this is a little bit stale as a topic, but there is an easier way — IF — you are using phpmyadmin as your mysql front end.

1)Create a database with just default settings.

2)Select the database.

3)Click “Import” at the top of the screen.

4)Select CSV under “Format”.

5)Choose the options appropriate to your csv file (open the csv file in a text editor and reference it to get ‘appropriate’ options).

If you muck it up, no problem, simply drop the database and try again.

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In addition to the other solutions mentioned Mac users may want to note that SQL Pro has a CSV import option which works fairly well and is flexible – you can change column names, and field types on import. Choose new table otherwise the initial dialogue can appear somewhat disheartening.

SQL Pro: http://www.sequelpro.com
Sequel Pro – database management application for working with MySQL databases

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This is what helped me. Just add your csv file and you are good to go.

http://www.convertcsv.com/csv-to-sql.htm

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if someone is looking for php solutin:

Package: https://github.com/uzi88/PHP_MySQL_wrapper

$db = new MySQL_wrapper(MySQL_HOST, MySQL_USER, MySQL_PASS, MySQL_DB);
$db->connect(); 

// this sample gets column names from first row of file
//$db->createTableFromCSV('test_files/countrylist.csv', 'csv_to_table_test');

// this sample generates column names 
$db->createTableFromCSV('test_files/countrylist1.csv', 'csv_to_table_test_no_column_names', ',', '"', '\', 0, array(), 'generate', '\r\n');

/** Create table from CSV file and imports CSV data to Table with possibility to update rows while import.
 * @param   string      $file           - CSV File path
 * @param   string      $table          - Table name
 * @param   string      $delimiter      - COLUMNS TERMINATED BY (Default: ',')
 * @param   string      $enclosure      - OPTIONALLY ENCLOSED BY (Default: '"')
 * @param   string      $escape         - ESCAPED BY (Default: '\')
 * @param   integer     $ignore         - Number of ignored rows (Default: 1)
 * @param   array       $update         - If row fields needed to be updated eg date format or increment (SQL format only @FIELD is variable with content of that field in CSV row) $update = array('SOME_DATE' => 'STR_TO_DATE(@SOME_DATE, "%d/%m/%Y")', 'SOME_INCREMENT' => '@SOME_INCREMENT + 1')
 * @param   string      $getColumnsFrom - Get Columns Names from (file or generate) - this is important if there is update while inserting (Default: file)
 * @param   string      $newLine        - New line delimiter (Default: \n)
 * @return  number of inserted rows or false
 */
// function createTableFromCSV($file, $table, $delimiter = ',', $enclosure = '"', $escape = '\', $ignore = 1, $update = array(), $getColumnsFrom = 'file', $newLine = '\r\n')

$db->close();

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I adopted the script from shiplu.mokadd.im to fit my needs. Whom it interests:

#!/bin/bash
if [ "$#" -lt 2 ]; then
    if [ "$#" -lt 1 ]; then 
        echo "usage: $0 [path to csv file] <table name> > [sql filename]"
        exit 1
    fi
    TABLENAME=$1
else
    TABLENAME=$2
fi
echo "CREATE TABLE $TABLENAME ( "
FIRSTLINE=$(head -1 $1)
# convert lowercase characters to uppercase
FIRSTLINE=$(echo $FIRSTLINE | tr '[:lower:]' '[:upper:]')
# remove spaces
FIRSTLINE=$(echo $FIRSTLINE | sed -e 's/ /_/g')
# add tab char to the beginning of line
FIRSTLINE=$(echo "\t$FIRSTLINE")
# add tabs and newline characters
FIRSTLINE=$(echo $FIRSTLINE | sed -e 's/,/,\n\t/g')
# add VARCHAR
FIRSTLINE=$(echo $FIRSTLINE | sed -e 's/,/ VARCHAR(255),/g')
# print out result
echo -e $FIRSTLINE" VARCHAR(255));"

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I’m recommended use MySQL Workbench where is import data. There is also possible make new table from CSV or JSON.

In MySQL Workbench application use context menu on table list and use

Table Data Import Wizard

MySQL Workbench image

Link for MySQL Workbench.
https://dev.mysql.com/doc/workbench/en/wb-admin-export-import-table.html

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I have made a Windows command line tool that do just that.

You can download it here: http://commandline.dk/csv2ddl.htm

Usage:

C:\Temp>csv2ddl.exe mysql test.csv test.sql

Or

C:\Temp>csv2ddl.exe mysql advanced doublequote comma test.csv test.sql

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MySQL for excel plugin can help you.

http://dev.mysql.com/doc/refman/5.6/en/mysql-for-excel.html

Open your CSV file in excel. You can use this plugin to export excel data into a new table of remote or local mysql server.
It will analyze your data (top 100 to 1000 rows) and create a corresponding table schema.

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This is not possible, you can however overwrite an existing table file. But be sure, that the line endings in your file are unix style (ending only with \n), not windows style (ending with \r\n), whether you are working under windows or not.

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If you’re ok with using Python, Pandas worked great for me (csvsql hanged forever for my case). Something like:

from sqlalchemy import create_engine
import pandas as pd

df = pd.read_csv('/PATH/TO/FILE.csv')
# Optional, set your indexes to get Primary Keys
df = df.set_index(['COL A', 'COL B'])

engine = create_engine('mysql://user:[email protected]/db', echo=False)

df.to_sql(table_name, dwh_engine, index=False)

Also this doesn’t solve the “using CSV engine” part which was part of the question but might me useful as well.