MySQL to Qlik Converter

About MySQL to Qlik Converter

Convert MySQL database dumps (CREATE TABLE and INSERT statements) to Qlik Sense load script format. Perfect for importing MySQL data into Qlik Sense dashboards and business intelligence applications.

Key Features

• LOAD Script Generation: Creates Qlik Sense LOAD statements with INLINE data
• Field Escaping: Properly escapes field identifiers with square brackets
• Quote Handling: Handles values with commas, quotes, and newlines
• Unique Headers: Automatically handles duplicate column names
• MySQL Parser: Accurately parses MySQL CREATE TABLE and INSERT syntax
• File Upload: Upload .sql files directly
• Copy & Download: Save as .qvs file for Qlik Sense

How to Use

1. Input MySQL Data: Paste your MySQL CREATE TABLE and INSERT statements or upload a .sql file
2. Review Output: The Qlik load script generates automatically
3. Copy or Download: Use the Copy or Download button to save your .qvs file
4. Import to Qlik: Paste the script into Qlik Sense Data Load Editor

Qlik Load Script Format

The converter generates a standard Qlik Sense LOAD statement with INLINE data:

• Table Name: MySQLData (can be customized in Qlik)
• LOAD Statement: Lists all fields with proper escaping
• INLINE Block: Contains CSV-formatted data with header row
• Delimiter: Uses comma delimiter with proper quoting

Example Conversion

MySQL Input:

CREATE TABLE employees (
  id INT PRIMARY KEY,
  name VARCHAR(100),
  age INT,
  city VARCHAR(50)
);

INSERT INTO employees VALUES (1, 'John Doe', 28, 'New York');
INSERT INTO employees VALUES (2, 'Jane Smith', 34, 'London');

Qlik Output:

MySQLData:
LOAD
    [id],
    [name],
    [age],
    [city]
INLINE [
id,name,age,city
1,John Doe,28,New York
2,Jane Smith,34,London
] (delimiter is ',');

Common Use Cases

• Business Intelligence: Import MySQL data into Qlik Sense dashboards
• Data Analysis: Analyze MySQL tables with Qlik's powerful analytics
• Reporting: Create reports from MySQL database dumps
• Data Integration: Combine MySQL data with other data sources
• Visualization: Build interactive visualizations from MySQL tables
• ETL Processes: Extract MySQL data for transformation and loading

Qlik Sense Compatibility

The generated load script is compatible with:

• Qlik Sense Enterprise (all versions)
• Qlik Sense Cloud Business
• Qlik Sense Desktop
• QlikView (with minor syntax adjustments)

Field Name Handling

• Square Brackets: All field names are wrapped in [brackets] for safety
• Escape Characters: Right brackets (]) are escaped as ]]
• Duplicate Names: Automatically appends _2, _3, etc. to duplicates
• Empty Headers: Generates Field1, Field2, etc. for missing headers

Data Value Escaping

• Quotes: Double quotes are escaped as ""
• Commas: Values with commas are wrapped in quotes
• Newlines: Values with newlines are wrapped in quotes
• Empty Values: Preserved as empty strings

Supported MySQL Syntax

• CREATE TABLE: Extracts column names and table structure
• INSERT INTO ... VALUES: Parses data from INSERT statements
• Quoted Values: Handles single and double quotes properly
• Multiple Inserts: Processes multiple INSERT statements
• Escaped Characters: Properly handles escaped quotes and special characters

Using in Qlik Sense

1. Open Qlik Sense and create or open an app
2. Go to Data Load Editor
3. Paste the generated load script
4. Click "Load data" to import the table
5. Use the data in your visualizations and analytics

Tips for Best Results

• Ensure MySQL data has clear column names from CREATE TABLE
• Avoid special characters in column names when possible
• Test with sample data before processing large tables
• Review field names in Qlik and rename if needed
• Consider data types when building Qlik expressions

FAQ

• Do I need both CREATE TABLE and INSERT statements? Including CREATE TABLE helps derive cleaner field names, but the tool can still build headers from INSERT column lists or fall back to generic names if needed.
• Can I change the table name from MySQLData? Yes. After pasting the script into Qlik Sense, you can rename the table identifier to anything that fits your data model.
• How are special characters in field names handled? All field identifiers are wrapped in square brackets and any closing bracket is escaped, ensuring Qlik can load fields even with unusual names.
• Is this suitable for very large datasets? INLINE loads are convenient for moderate-sized datasets. For very large tables, consider exporting to files or using direct database connections in Qlik instead.
• Is my SQL data uploaded? No. The conversion logic runs in your browser only; your MySQL dump is never sent to a remote server.

Privacy & Security

All conversions happen locally in your browser. Your MySQL data is never uploaded to any server, ensuring complete privacy and security.