CSV to SQL CSV to SQL

Field Name Type Length #Dec Key Include Required Trim Upper Lower Use NULL Template Ex: {f}+100

Free tool to convert the data in CVS format to SQL queries. The first line of the CSV input is taken as table columns.

 


 

There are options to convert it as Insert or Update or Delete queries. Options to browse and load the input . csv file and download the output query file are also provided.
The CSV to SQL Generator is a tool that allows users to convert data from a CSV (Comma-Separated Values) file into a SQL (Structured Query Language) file. This can be useful in various scenarios, such as when you need to import data from a CSV file into a SQL database or when you want to perform complex analysis on the data using SQL queries.

A CSV to SQL Generator tool typically provides a user-friendly interface that allows users to select the source CSV file and specify how they want to convert it to SQL. Some common features of CSV to SQL Generator tools include:

  1. Table Creation: Allows users to specify the name of the table and the columns in the resulting SQL file, using the header row of the CSV file or custom names.
  2. Data Type Mapping: Maps the data types of the columns in the CSV file to the corresponding data types in SQL, such as integer, float, or text.
  3. Insert Statement Generation: Generates an INSERT statement for each row in the CSV file, making it easy to import the data into a SQL database.
  4. Batch Processing: Allows users to convert multiple CSV files to SQL in one go, saving time and reducing the risk of errors.

Using a CSV to SQL Generator tool can have several benefits:

  1. Ease of Use: The tool provides a user-friendly interface that allows users to convert CSV files to SQL without the need for manual editing or coding.
  2. Time-Saving: The tool eliminates the need for users to manually convert CSV files to SQL, saving time and reducing the risk of errors.
  3. Improved Data Management: The tool makes it easier to manage data stored in CSV files by converting it to a structured format that can be queried using SQL.