Logo

SQL to Jira Converter

Transform SQL database dumps into Jira table markup for use in Jira Cloud, Server, Data Center, and Confluence

SQL Input

Convert SQL to other formats

SQL to ActionScriptSQL to ASCIISQL to AsciiDocSQL to ASPSQL to AvroSQL to BBCodeSQL to CSVSQL to DAX

Jira Output

Convert other formats to Jira

CSV to JiraExcel to JiraHTML to JiraJSON to JiraLaTeX to JiraMarkdown to JiraMediaWiki to JiraMySQL to Jira

Related Tools

SQL to JPEG

Convert SQL database dumps to JPEG image with customizable styling and colors

SQL to JSON

Convert SQL CREATE TABLE and INSERT statements to JSON format with automatic type detection

SQL to JSON Lines

Convert SQL CREATE TABLE and INSERT statements to JSON Lines (JSONL) format for streaming and big data

SQL to LaTeX

Convert SQL CREATE TABLE and INSERT statements to LaTeX table format with tabular, longtable, and booktabs support

SQL to Magic

Convert SQL CREATE TABLE and INSERT statements to Magic scripting language formats (Python, Ruby, JavaScript)

SQL to Markdown

Convert SQL CREATE TABLE and INSERT statements to GitHub Flavored Markdown tables with auto-alignment

About SQL to Jira Converter

Convert SQL database dumps (CREATE TABLE and INSERT statements) to Jira table markup format for use in Jira Cloud, Jira Server, Jira Data Center, and Confluence. Jira uses a simple pipe-based syntax for creating tables in issues, comments, and wiki pages.

Key Features

  • Header Support: Optional header rows with || delimiter syntax
  • Jira Cloud Compatible: Works with Jira Cloud, Server, and Data Center
  • Confluence Compatible: Use in Confluence wiki pages and comments
  • Smart Parsing: Extracts column names and data from SQL dumps
  • Simple Syntax: Clean pipe-delimited format
  • File Download: Save as .txt file for easy sharing

How to Use

  1. Input SQL Data: Paste your SQL CREATE TABLE and INSERT statements or upload a .sql file
  2. Configure Header: Toggle header row with || syntax
  3. Copy or Download: Use the Copy or Download button to save your Jira markup
  4. Paste in Jira: Paste the markup directly into Jira issues, comments, or Confluence pages

Jira Table Syntax

  • Header Cells: || delimiter for header cells (e.g., ||Name||Age||)
  • Data Cells: | delimiter for data cells (e.g., |John|25|)
  • Row Separator: Each row ends with a newline

Example Conversion

SQL Input:

CREATE TABLE products (
  id INT,
  name VARCHAR(100),
  price DECIMAL(10,2),
  category VARCHAR(50)
);

INSERT INTO products VALUES (1, 'Laptop', 999.99, 'Electronics');
INSERT INTO products VALUES (2, 'Mouse', 24.99, 'Accessories');

Jira Output (with header):

||id||name||price||category||
|1|Laptop|999.99|Electronics|
|2|Mouse|24.99|Accessories|

Jira Output (without header):

|id|name|price|category|
|1|Laptop|999.99|Electronics|
|2|Mouse|24.99|Accessories|

Common Use Cases

  • Issue Tracking: Display database tables in Jira issue descriptions and comments
  • Documentation: Include database schemas in Confluence documentation
  • Bug Reports: Show database state in bug reports
  • Requirements: Document data requirements in user stories
  • Test Cases: Include test data in test case descriptions
  • Sprint Planning: Share database information in sprint planning pages

Jira Integration

The generated markup works seamlessly across Jira products:

  • Jira Cloud: Use in issues, comments, and descriptions
  • Jira Server/Data Center: Full compatibility with on-premise installations
  • Confluence: Include tables in wiki pages and blog posts
  • Jira Service Management: Use in service desk tickets and knowledge base

Supported SQL Syntax

  • CREATE TABLE: Extracts column names for table headers
  • INSERT INTO: Parses data values from INSERT statements
  • Data Types: Handles all SQL data types (VARCHAR, INT, DECIMAL, etc.)
  • Quoted Strings: Handles single and double quotes with proper escaping
  • NULL Values: Preserves NULL values in output

Tips for Best Results

  • Keep Tables Simple: Jira tables work best with moderate amounts of data
  • Use Headers: Enable headers for better readability
  • Format Data: Ensure your SQL data is properly formatted
  • Test First: Preview the output before pasting into Jira

Jira Resources

  • Jira Cloud: Cloud-based project management (atlassian.com/jira)
  • Confluence: Team collaboration and documentation (atlassian.com/confluence)
  • Jira Syntax: Complete markup reference in Atlassian documentation

Frequently Asked Questions

  • Q: Does this use the old wiki renderer or the new editor? A: The pipe-based table syntax works in classic wiki-style fields. In newer rich-text editors, Jira usually preserves this syntax for backwards compatibility.
  • Q: My table doesnt render in Jira, what should I check? A: Ensure there are no extra spaces before the first | or ||, and that each row ends with a newline.
  • Q: Can I mix other Jira markup inside cells? A: Yes. You can add basic formatting (bold, links, etc.) inside cells as long as you dont break the pipe delimiters.
  • Q: Is there a row or column limit? A: Jira can handle many rows, but very large tables may be hard to read and slower to render. Consider splitting huge datasets.
  • Q: Can I convert the same data for Confluence? A: Yes. Confluence uses the same table markup, so you can paste the generated output directly into Confluence pages.

Privacy & Security

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