Skip to content

roshanlam/sqlite-worker

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

sqlite-worker

Sqlite-Worker is a Python package providing a thread-safe interface for SQLite database operations. It ensures safe concurrent access to SQLite databases and simplifies executing database queries from different threads.

Features

  • Thread-safe SQLite database operations
  • Queue-based query execution
  • Simple and easy-to-use API
  • Initialization actions executed once upon database connection
  • Regular commits for continuous query streams

Installation

To install, run:

pip3 install sqlite-worker

Creating a Worker Instance

To create a basic instance of Sqlite3Worker by specifying the path to your SQLite database file:

from sqlite_worker import SqliteWorker
worker = SqliteWorker("/path/to/your/database.db")

Worker instance with Initialization Actions

Create a SqliteWorker instance with initialization actions (such as setting pragmas):

from sqlite_worker import SqliteWorker

init_actions = [
    "PRAGMA journal_mode=WAL;",
    "PRAGMA synchronous=NORMAL;",
    "PRAGMA temp_store=MEMORY;"
]

worker = SqliteWorker("/path/to/your/database.db", execute_init=init_actions)

Worker Instance with Regular Commits

Create a SqliteWorker instance with initialization actions and set a maximum query count for regular commits:

from sqlite_worker import SqliteWorker

init_actions = [
    "PRAGMA journal_mode=WAL;",
    "PRAGMA synchronous=NORMAL;",
    "PRAGMA temp_store=MEMORY;"
]

worker = SqliteWorker("/path/to/your/database.db", execute_init=init_actions, max_count=50)

Execute Queries

Creating a table

worker.execute("CREATE TABLE example (id INTEGER PRIMARY KEY, name TEXT)")

Inserting data

worker.execute("INSERT INTO example (name) VALUES (?)", ("Alice",))

Fetching data

token = worker.execute("SELECT * FROM example")
results = worker.fetch_results(token)
print(results)

Closing the Worker

After completing all database operations, close the worker to ensure proper cleanup:

worker.close()

Contributing

Contributions to the Sqlite-Worker are welcome! Please refer to the project's issues and pull request sections for contributions.

Acknowledgements

Special thanks to Johannes Ahlmann for their valuable suggestion on initializing actions and implementing regular commits.

About

Effortlessly manage SQLite in multi-threaded Python applications

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages