#Mysql create table from csv code
#Mysql create table from csv free

Regardless, I'm looking for a way to create a table in a MySQL database without manually creating the table first (I have many CSVs, each with 50+ fields, that have to be uploaded as new tables in a MySQL database).

I think this is telling me that I must first create a table in the database before passing the data in the dataframe to this table, but I'm not 100% positive about that. The yields the following error: InvalidRequestError: Could not reflect: requested table(s) not available in (new_database_table)

#Mysql create table from csv code

I run the code using this line: df_to_mysql(csv_to_df(r'path/to/file.csv'), 'new_database_table') Lastly, I use the pandas function 'to_sql' to create the database table in the MySQL database: def df_to_mysql(df, db_tbl_name, conn=mysql_connection(), index=False):ĭf.to_sql(con = conn, name = db_tbl_name, if_exists='replace', index = False) Then I establish a connection to the MySQL database using this def function: def mysql_connection():Įngine = password, host, port, database)) In my code, I first create a dataframe from a CSV file (no issues here). Here are the libraries I import: import pandas as pd I think I've finally gotten the correct libraries installed to work with Python 3.6, but now I am having trouble creating a new table from a dataframe in the MySQL database. Fields are not optimized.I recently transitioned from using SQLite for most of my data storage and management needs to MySQL. This option is a bit tedious because it uses a wizard and the import is slow and buggy with large files, but this may be a good option for small files with VARCHAR data.

#Mysql create table from csv free

MySQL for Excel: This is a free Excel Add-in from Oracle. phpMyAdmin has trouble importing large files that exceed 'max_allowed_packet' size. phpMyAdmin will automatically create your table and size your VARCHAR fields, but it won't optimize the field types. PhpMyAdmin: Select your database first, then select the Import tab. Here is a recent example I used to import a csv file named test.csv. Special attention is required to avoid problems importing special characters and foreign unicode characters. LOAD DATA INFILE has trouble importing large files that exceed 'max_allowed_packet' size. Therefore, your field data types are not optimized.

You must manually create your table before loading and use appropriately sized VARCHAR field types. LOAD DATA INFILE: This popular option is perhaps the most technical and requires some understanding of MySQL command execution. It supports all verions of Excel and doesn't require Office install. Hands down, the easiest and fastest way to import Excel data into MySQL. There are actually several ways to import an excel file in to a MySQL database with varying degrees of complexity and success.Įxcel2MySQL. Other ways to import from a SQL file can be found in this Stack Overflow answer. Otherwise, paste the code into a text file (e.g., import.sql) and execute this command from a Unix shell: If you're using MySQL Workbench or already logged into mysql from the command line, then you can execute the generated SQL statements from step 3 directly. Id INT NOT NULL AUTO_INCREMENT PRIMARY KEY, Data Converter and select the output as MySQL:Ĭhange the table name and column definitions to fit your requirements in the generated output: Let's assume you want to import your Excel table into the sales table of a MySQL database named mydatabase. Below is another method to import spreadsheet data into a MySQL database that doesn't rely on any extra software.