docs/developer_docs_versioned_docs/version-6.1.0/contributing/issue-reporting.md

---
title: Issue Reporting
sidebar_position: 5
---

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# Issue Reporting

Learn how to effectively report bugs and request features for Apache Superset.

## Before Opening an Issue

### Pre-Issue Checklist

1. **Search Existing Issues**

   ```
   Search: https://github.com/apache/superset/issues
   - Use keywords from your error message
   - Check both open and closed issues
   - Look for similar problems
   ```

2. **Check Documentation**
   - [User Documentation](https://superset.apache.org/docs/intro)
   - [FAQ](https://superset.apache.org/docs/frequently-asked-questions)
   - [Configuration Guide](https://superset.apache.org/docs/configuration/configuring-superset)

3. **Verify Version**

   ```bash
   # Check Superset version
   superset version

   # Try latest version
   pip install --upgrade apache-superset
   ```

4. **Reproduce Consistently**
   - Can you reproduce the issue?
   - Does it happen every time?
   - What specific actions trigger it?

## Bug Reports

### Bug Report Template

```markdown
### Bug Description

A clear and concise description of the bug.

### How to Reproduce

1. Go to '...'
2. Click on '...'
3. Scroll down to '...'
4. See error

### Expected Behavior

What you expected to happen.

### Actual Behavior

What actually happened. Include error messages.

### Screenshots/Videos

If applicable, add screenshots or recordings.

### Environment

- Superset version: [e.g., 3.0.0]
- Python version: [e.g., 3.9.7]
- Node version: [e.g., 18.17.0]
- Database: [e.g., PostgreSQL 14]
- Browser: [e.g., Chrome 120]
- OS: [e.g., Ubuntu 22.04]

### Additional Context

- Using Docker: Yes/No
- Configuration overrides:
- Feature flags enabled:
- Authentication method:
```

### What Makes a Good Bug Report

#### ✅ Good Example

```markdown
### Bug Description

When filtering a dashboard with a date range filter, charts using
SQL Lab datasets don't update, while charts using regular datasets do.

### How to Reproduce

1. Create a dashboard with 2 charts:
   - Chart A: Uses a SQL Lab virtual dataset
   - Chart B: Uses a regular table dataset
2. Add a date range filter (last 30 days)
3. Apply the filter
4. Chart B updates, Chart A shows no change

### Expected Behavior

Both charts should filter to show last 30 days of data.

### Actual Behavior

Only Chart B updates. Chart A still shows all data.
No error messages in browser console or server logs.

### Screenshots

[Dashboard before filter]: attachment1.png
[Dashboard after filter]: attachment2.png
[Network tab showing requests]: attachment3.png

### Environment

- Superset version: 3.0.0
- Python version: 3.9.16
- Database: PostgreSQL 14.9
- Browser: Chrome 120.0.6099.71
- OS: macOS 14.2
```

#### ❌ Poor Example

```markdown
Dashboard filters don't work. Please fix.
```

### Required Information

#### Error Messages

```python
# Include full error traceback
Traceback (most recent call last):
  File "...", line X, in function
    error details
SupersetException: Detailed error message
```

#### Logs

```bash
# Backend logs
docker logs superset_app 2>&1 | tail -100

# Or from development
tail -f ~/.superset/superset.log
```

#### Browser Console

```javascript
// Include JavaScript errors
// Chrome: F12 → Console tab
// Include network errors
// Chrome: F12 → Network tab
```

#### Configuration

```python
# Relevant config from superset_config.py
FEATURE_FLAGS = {
    "ENABLE_TEMPLATE_PROCESSING": True,
    # ... other flags
}
```

## Feature Requests

### Feature Request Template

```markdown
### Is your feature request related to a problem?

A clear description of the problem you're trying to solve.

### Describe the solution you'd like

A clear description of what you want to happen.

### Describe alternatives you've considered

Other solutions or features you've considered.

### Additional context

Any other context, mockups, or examples.

### Are you willing to contribute?

- [ ] Yes, I can implement this feature
- [ ] Yes, I can help test
- [ ] No, but I can provide feedback
```

### Good Feature Requests Include

1. **Clear Use Case**

   ```markdown
   As a [type of user], I want [feature] so that [benefit].

   Example:
   As a data analyst, I want to schedule dashboard screenshots
   so that I can automatically send reports to stakeholders.
   ```

2. **Mockups/Designs**
   - UI mockups
   - Workflow diagrams
   - API specifications

3. **Impact Analysis**
   - Who benefits?
   - How many users affected?
   - Performance implications?

## Security Issues

### 🔴 IMPORTANT: Security Vulnerabilities

**DO NOT** create public issues for security vulnerabilities!

Instead:

1. Email: security@apache.org
2. Subject: `[Superset] Security Vulnerability`
3. Include:
   - Description of vulnerability
   - Steps to reproduce
   - Potential impact
   - Suggested fix (if any)

### Security Issue Template

```markdown
Send to: security@apache.org

### Vulnerability Description

[Describe the security issue]

### Type

- [ ] SQL Injection
- [ ] XSS
- [ ] CSRF
- [ ] Authentication Bypass
- [ ] Information Disclosure
- [ ] Other: [specify]

### Affected Versions

[List affected versions]

### Steps to Reproduce

[Detailed steps - be specific]

### Impact

[What can an attacker do?]

### Suggested Fix

[If you have suggestions]
```

## Issue Labels

### Priority Labels

- `P0`: Critical - System unusable
- `P1`: High - Major feature broken
- `P2`: Medium - Important but workaround exists
- `P3`: Low - Nice to have

### Type Labels

- `bug`: Something isn't working
- `feature`: New feature request
- `enhancement`: Improvement to existing feature
- `documentation`: Documentation improvements
- `question`: Question about usage

### Component Labels

- `dashboard`: Dashboard functionality
- `sqllab`: SQL Lab
- `explore`: Chart builder
- `visualization`: Chart types
- `api`: REST API
- `security`: Security related

### Status Labels

- `needs-triage`: Awaiting review
- `confirmed`: Bug confirmed
- `in-progress`: Being worked on
- `blocked`: Blocked by dependency
- `stale`: No activity for 30+ days

## Issue Lifecycle

### 1. Creation

- User creates issue with template
- Auto-labeled as `needs-triage`

### 2. Triage

- Maintainer reviews within 7 days
- Labels applied (priority, type, component)
- Questions asked if needed

### 3. Confirmation

- Bug reproduced or feature discussed
- Label changed to `confirmed`
- Assigned to milestone if applicable

### 4. Development

- Contributor claims issue
- Label changed to `in-progress`
- PR linked to issue

### 5. Resolution

- PR merged
- Issue auto-closed
- Or manually closed with explanation

## Following Up

### If No Response

After 7 days without response:

```markdown
@apache/superset-committers This issue hasn't been triaged yet.
Could someone please take a look?
```

### Providing Updates

```markdown
Update: I found that this only happens when [condition].
Here's additional debugging information: [details]
```

### Issue Staleness

- Bot marks stale after 30 days of inactivity
- Closes after 7 more days without activity
- To keep open: Comment with updates

## Tips for Success

### Do's

- ✅ Search before creating
- ✅ Use templates
- ✅ Provide complete information
- ✅ Include screenshots/videos
- ✅ Be responsive to questions
- ✅ Test with latest version
- ✅ One issue per report

### Don'ts

- ❌ "+1" or "me too" comments (use reactions)
- ❌ Multiple issues in one report
- ❌ Vague descriptions
- ❌ Screenshots of text (copy/paste instead)
- ❌ Private/sensitive data in reports
- ❌ Demanding immediate fixes

## Useful Commands

### Gathering System Info

```bash
# Full environment info
python -c "
import sys
import superset
import sqlalchemy
import pandas
import numpy

print(f'Python: {sys.version}')
print(f'Superset: {superset.__version__}')
print(f'SQLAlchemy: {sqlalchemy.__version__}')
print(f'Pandas: {pandas.__version__}')
print(f'NumPy: {numpy.__version__}')
"

# Database versions
superset shell
>>> from superset import db
>>> print(db.engine.dialect.server_version_info)
```

### Creating Minimal Reproductions

```python
# Create test script
# minimal_repro.py
from superset import create_app

app = create_app()
with app.app_context():
    # Your reproduction code here
    pass
```

## Getting Help

### Before Creating an Issue

1. **Slack**: Ask in #troubleshooting
2. **GitHub Discussions**: Search/ask questions
3. **Stack Overflow**: Tag `apache-superset`
4. **Mailing List**: user@superset.apache.org

### Issue Not a Bug?

Consider:

- **Feature Request**: Use feature request template
- **Question**: Use GitHub Discussions
- **Configuration Help**: Ask in Slack
- **Development Help**: See [Contributing Guide](./overview.md)

Next: [Understanding the release process](./release-process.md)