Apache Airflow DAG Patterns
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Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode.
---
name: sqlite-ops-df940d65caac
description: "Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode."
license: MIT
compatibility: "Requires Python 3.8+ with sqlite3 (standard library) or aiosqlite for async."
allowed-tools: "Read Write Bash"
metadata:
author: claude-mods
---
# SQLite Operations
Patterns for SQLite databases in Python projects.
## Quick Connection
```python
import sqlite3
def get_connection(db_path: str) -> sqlite3.Connection:
conn = sqlite3.connect(db_path, check_same_thread=False)
conn.row_factory = sqlite3.Row # Dict-like access
conn.execute("PRAGMA journal_mode=WAL") # Better concurrency
conn.execute("PRAGMA foreign_keys=ON")
return conn
```
## Context Manager Pattern
```python
from contextlib import contextmanager
@contextmanager
def db_transaction(conn: sqlite3.Connection):
try:
yield conn
conn.commit()
except Exception:
conn.rollback()
raise
```
## WAL Mode
Enable for concurrent read/write:
```python
conn.execute("PRAGMA journal_mode=WAL")
```
| Mode | Reads | Writes | Best For |
|------|-------|--------|----------|
| DELETE (default) | Blocked during write | Single | Simple scripts |
| WAL | Concurrent | Single | Web apps, MCP servers |
## Common Gotchas
| Issue | Solution |
|-------|----------|
| "database is locked" | Use WAL mode |
| Slow queries | Add indexes, check EXPLAIN QUERY PLAN |
| Thread safety | Use `check_same_thread=False` |
| FK not enforced | Run `PRAGMA foreign_keys=ON` |
## CLI Quick Reference
```bash
sqlite3 mydb.sqlite # Open database
.tables # Show tables
.schema items # Show schema
.headers on && .mode csv && .output data.csv # Export CSV
VACUUM; # Reclaim space
```
## When to Use
- Local state/config storage
- Caching layer
- Event logging
- MCP server persistence
- Small to medium datasets
## Additional Resources
For detailed patterns, load:
- `./references/schema-patterns.md` - State, cache, event, queue table designs
- `./references/async-patterns.md` - aiosqlite CRUD, batching, connection pools
- `./references/migration-patterns.md` - Version migrations, JSON handling
---
name: sqlite-ops-df940d65caac
description: "Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode."
license: MIT
compatibility: "Requires Python 3.8+ with sqlite3 (standard library) or aiosqlite for async."
allowed-tools: "Read Write Bash"
metadata:
author: claude-mods
---
# SQLite Operations
Patterns for SQLite databases in Python projects.
## Quick Connection
```python
import sqlite3
def get_connection(db_path: str) -> sqlite3.Connection:
conn = sqlite3.connect(db_path, check_same_thread=False)
conn.row_factory = sqlite3.Row # Dict-like access
conn.execute("PRAGMA journal_mode=WAL") # Better concurrency
conn.execute("PRAGMA foreign_keys=ON")
return conn
```
## Context Manager Pattern
```python
from contextlib import contextmanager
@contextmanager
def db_transaction(conn: sqlite3.Connection):
try:
yield conn
conn.commit()
except Exception:
conn.rollback()
raise
```
## WAL Mode
Enable for concurrent read/write:
```python
conn.execute("PRAGMA journal_mode=WAL")
```
| Mode | Reads | Writes | Best For |
|------|-------|--------|----------|
| DELETE (default) | Blocked during write | Single | Simple scripts |
| WAL | Concurrent | Single | Web apps, MCP servers |
## Common Gotchas
| Issue | Solution |
|-------|----------|
| "database is locked" | Use WAL mode |
| Slow queries | Add indexes, check EXPLAIN QUERY PLAN |
| Thread safety | Use `check_same_thread=False` |
| FK not enforced | Run `PRAGMA foreign_keys=ON` |
## CLI Quick Reference
```bash
sqlite3 mydb.sqlite # Open database
.tables # Show tables
.schema items # Show schema
.headers on && .mode csv && .output data.csv # Export CSV
VACUUM; # Reclaim space
```
## When to Use
- Local state/config storage
- Caching layer
- Event logging
- MCP server persistence
- Small to medium datasets
## Additional Resources
For detailed patterns, load:
- `./references/schema-patterns.md` - State, cache, event, queue table designs
- `./references/async-patterns.md` - aiosqlite CRUD, batching, connection pools
- `./references/migration-patterns.md` - Version migrations, JSON handling
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