Troubleshooting

Troubleshooting Guide

This chapter covers troubleshooting strategies and solutions for common problems encountered while using RhoSocial ActiveRecord.

Overview

Effective troubleshooting in RhoSocial ActiveRecord applications involves understanding:

1. Common Issues

   • Installation problems

   • Configuration issues

   • Database connection errors

   • Query performance problems

   • Memory management issues

2. Debugging Tools

   • Query analyzer

   • Performance profiler

   • Memory profiler

   • Log analysis tools

3. Performance Problems

   • Query optimization

   • Memory leaks

   • Connection pooling

   • Resource management

4. Error Resolution

   • Error handling strategies

   • Recovery procedures

   • Data consistency fixes

   • System maintenance

Example Scenarios

Social Media Application

Common issues in social media applications include:

# N+1 Query Problem
# Bad practice
posts = Post.query().all()
for post in posts:
    print(f"{post.author.username}: {post.content}")  # Extra query per post

# Solution
posts = Post.query()\
    .with_('author')\
    .all()
for post in posts:
    print(f"{post.author.username}: {post.content}")  # No extra queries

E-commerce System

Common issues in e-commerce applications include:

# Transaction Deadlocks
# Problematic scenario
with Order.transaction():
    order = Order.find_one(1)
    for item in order.items:
        product = Product.find_one(item.product_id)
        product.stock -= item.quantity
        product.save()  # Potential deadlock

# Solution
@with_retry(max_attempts=3)
def process_order(order_id: int):
    with Order.transaction():
        order = Order.find_one(order_id)
        # Process order items with proper locking strategy
        process_items(order.items)

Diagnostic Tools

Query Analysis

# Enable query logging
User.backend().enable_query_logging()

# Analyze query performance
query = Order.query()\
    .with_('items.product')\
    .where('status = ?', ('pending',))

# Get execution plan
plan = query.explain()
print(f"Query Plan:\n{plan}")

Performance Monitoring

from rhosocial.activerecord.profiler import Profiler

# Profile database operations
with Profiler() as profiler:
    users = User.query()\
        .with_('posts.comments')\
        .all()
    
    # Print profiling results
    print(profiler.summary())

Common Problems and Solutions

Installation Issues

• SQLite version compatibility

• Missing database dependencies

• Python version requirements

• Virtual environment setup

Configuration Problems

• Database connection settings

• Model configuration errors

• Type mapping issues

• Relationship setup

Runtime Issues

• Memory management

• Connection pooling

• Transaction isolation

• Query performance

Data Consistency

• Transaction rollbacks

• Deadlock resolution

• Data validation

• Relationship integrity

Using This Guide

1. Issue Identification

   • Identify problem category

   • Collect relevant information

   • Check common issues

   • Review error messages

2. Debugging Process

   • Use appropriate tools

   • Follow debugging steps

   • Test solutions

   • Verify fixes

3. Performance Optimization

   • Monitor performance

   • Identify bottlenecks

   • Apply optimizations

   • Validate improvements

4. Error Resolution

   • Handle errors properly

   • Implement recovery

   • Test error cases

   • Document solutions

Best Practices

1. Problem Prevention

   • Follow design guidelines

   • Use proper validation

   • Implement error handling

   • Monitor performance

2. Debugging

   • Use appropriate tools

   • Follow systematic approach

   • Document findings

   • Test solutions

3. Performance

   • Monitor regularly

   • Profile operations

   • Optimize early

   • Test thoroughly

4. Maintenance

   • Regular updates

   • System monitoring

   • Data backups

   • Documentation

In This Chapter

1. Common Issues

   • Installation problems

   • Configuration issues

   • Runtime errors

   • Data problems

2. Debugging Guide

   • Debugging tools

   • Diagnostic techniques

   • Problem solving

   • Case studies

3. Performance Problems

   • Query optimization

   • Memory management

   • Connection handling

   • Resource usage

4. Error Resolution

   • Error handling

   • Recovery procedures

   • Data fixes

   • System recovery

Next Steps

1. Start with Common Issues for frequently encountered problems

2. Learn debugging techniques in Debugging Guide

3. Study performance optimization in Performance Problems

4. Master error handling in Error Resolution