Metadata-Version: 2.1
Name: sqlite_rx
Version: 0.9.91
Summary: Python SQLite Client and Server
Home-page: https://github.com/aosingh/sqlite_rx
Author: Abhishek Singh
Author-email: aosingh@asu.edu
Maintainer: Abhishek Singh
Maintainer-email: aosingh@asu.edu
License: GNU GPLv3
Description: # sqlite_rx [![Travis](https://travis-ci.org/aosingh/sqlite_rx.svg?branch=master)](https://travis-ci.org/aosingh/sqlite_rx) [![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)](https://www.python.org/downloads/release/python-370/) [![PyPI version](https://badge.fury.io/py/sqlite-rx.svg)](https://pypi.python.org/pypi/sqlite-rx)
        
        ## Background
        
        [SQLite](https://www.sqlite.org/index.html) is a lightweight database written in C. 
        The Python programming language has in-built support to interact with the database(locally) which is either stored on disk or in memory.
        
        ## Introducing sqlite_rx (SQLite remote execution)
        With `sqlite_rx`, clients should be able to communicate with an `SQLiteServer` in a fast, simple and secure manner and execute queries remotely.
        
        Key Features
        
        - Python Client and Server for [SQLite](https://www.sqlite.org/index.html) database built using [ZeroMQ](http://zguide.zeromq.org/page:all) as the transport layer and [msgpack](https://msgpack.org/index.html) for serialization/deserialization.
        - Supports authentication using [ZeroMQ Authentication Protocol (ZAP)](https://rfc.zeromq.org/spec:27/ZAP/)
        - Supports encryption using [CurveZMQ](http://curvezmq.org/)
        - Allows the users to define a generic authorization policy during server startup
        
        
        ***Please note that detailed documentation(explaining the configuration options) for both Client and Server is in-progress. 
        Below you can find the steps to quickly get started***
        
        
        # Install
        
        Currently, only Python 3 is supported.
        
        ```commandline
        pip install sqlite_rx
        ```
        
        # Examples
        
        ## Server
        
        `SQLiteServer` runs in a single thread and follows an event-driven concurrency model (using `tornado's` event loop) which minimizes the cost of concurrent client connections.
        
        ```python
        from sqlite_rx.server import SQLiteServer
        
        
        def main():
        
            # database is a path-like object giving the pathname 
            # of the database file to be opened. 
            
            # You can use ":memory:" to open a database connection to a database 
            # that resides in RAM instead of on disk
            
            server = SQLiteServer(database=":memory:",
                                  bind_address="tcp://127.0.0.1:5000")
            try:
                server.start()
            except KeyboardInterrupt:
                server.stop()
        
        
        if __name__ == '__main__':
            main()
        ```
        
        ## Client
        
        `SQLiteClient` is a thin client with a single method called `execute`
        
        The `execute` method reacts to the following keyword arguments:
        
        1. `execute_many`: True if you want to insert multiple rows with one execute call.
        
        2. `execute_script`: True if you want to execute a script with multiple SQL commands.
        
        3. `request_timeout`: Time in ms to wait for a response before retrying. Default is 2500 ms
        
        4. `retries`: Number of times to retry before abandoning the request. Default is 5
        
        
        Below are a few examples
        
        ### Instantiate a client
        
        ```python
        from sqlite_rx.client import SQLiteClient
        client = SQLiteClient(connect_address="tcp://127.0.0.1:5000")
        ```
        
        ### SELECT statement: (Table not present)
        ```python
        from pprint import pprint
        result = client.execute("SELECT * FROM IDOLS")
        pprint(result)
        
        ```
        OUTPUT
        ```text
        {'error': {'message': 'sqlite3.OperationalError: no such table: IDOLS',
                   'type': 'sqlite3.OperationalError'},
         'items': []}
        ```
        
        ### CREATE TABLE statement
        
        ```python
        
        result = client.execute("CREATE TABLE stocks (date text, trans text, symbol text, qty real, price real)")
        pprint(result)
        ```
        OUTPUT
        ```text
        {'error': None, 'items': []}
        ```
        
        
        ### INSERT MANY rows
        
        ```python
        purchases = [('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                         ('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
                         ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
                         ('2006-04-06', 'SELL', 'XOM', 500, 53.00),
                        ]
        
        result = client.execute("INSERT INTO stocks VALUES (?,?,?,?,?)", *purchases, execute_many=True)
        pprint(result)
        
        ```
        OUTPUT
        
        ```text
        {'error': None, 'items': [], 'row_count': 27}
        ```
        
        ### SELECT with WHERE clause
        ```python
        args = ('IBM',)
        result = client.execute("SELECT * FROM stocks WHERE symbol = ?", *args)
        pprint(result)
        
        ```
        OUTPUT
        
        ```text
        {'error': None,
         'items': [['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0],
                   ['2006-03-28', 'BUY', 'IBM', 1000.0, 45.0]]}
        ```
        
        ### Execute a SCRIPT
        
        ```python
        script = '''CREATE TABLE users(id INTEGER PRIMARY KEY, name TEXT, phone TEXT);
                    CREATE TABLE accounts(id INTEGER PRIMARY KEY, description TEXT);
        
                    INSERT INTO users(name, phone) VALUES ('John', '5557241'), 
                     ('Adam', '5547874'), ('Jack', '5484522');'''
        
        result = client.execute(script, execute_script=True)
        pprint(result)
        
        ```
        
        OUTPUT
        ```text
        {'error': None, 'items': []}
        ```
        
        Select the rows inserted using the above sql_script
        
        ```python
        result = client.execute("SELECT * FROM users")
        pprint(result)
        ```
        
        OUTPUT
        ```text
        {'error': None, 'items': [[2, 'Adam', '5547874'], 
                                  [3, 'Jack', '5484522']]}
        ```
        
        
        ### DROP a TABLE
        
        Note: In the default authorization setting, a client is not allowed to drop any table.
        
        ```python
        result = client.execute("DROP TABLE stocks")
        pprint(result)
        ```
        
        OUTPUT
        
        ```text
        {'error': {'message': 'sqlite3.DatabaseError: not authorized',
                   'type': 'sqlite3.DatabaseError'},
         'items': []}
        ```
        
        ## Generic Default Authorization Policy
        
        
        ```python
        DEFAULT_AUTH_CONFIG = {
                    sqlite3.SQLITE_OK: {
                        sqlite3.SQLITE_CREATE_INDEX,
                        sqlite3.SQLITE_CREATE_TABLE,
                        sqlite3.SQLITE_CREATE_TEMP_INDEX,
                        sqlite3.SQLITE_CREATE_TEMP_TABLE,
                        sqlite3.SQLITE_CREATE_TEMP_TRIGGER,
                        sqlite3.SQLITE_CREATE_TEMP_VIEW,
                        sqlite3.SQLITE_CREATE_TRIGGER,
                        sqlite3.SQLITE_CREATE_VIEW,
                        sqlite3.SQLITE_INSERT,
                        sqlite3.SQLITE_READ,
                        sqlite3.SQLITE_SELECT,
                        sqlite3.SQLITE_TRANSACTION,
                        sqlite3.SQLITE_UPDATE,
                        sqlite3.SQLITE_ATTACH,
                        sqlite3.SQLITE_DETACH,
                        sqlite3.SQLITE_ALTER_TABLE,
                        sqlite3.SQLITE_REINDEX,
                        sqlite3.SQLITE_ANALYZE,
                        },
        
                    sqlite3.SQLITE_DENY: {
                        sqlite3.SQLITE_DELETE,
                        sqlite3.SQLITE_DROP_INDEX,
                        sqlite3.SQLITE_DROP_TABLE,
                        sqlite3.SQLITE_DROP_TEMP_INDEX,
                        sqlite3.SQLITE_DROP_TEMP_TABLE,
                        sqlite3.SQLITE_DROP_TEMP_TRIGGER,
                        sqlite3.SQLITE_DROP_TEMP_VIEW,
                        sqlite3.SQLITE_DROP_TRIGGER,
                        sqlite3.SQLITE_DROP_VIEW,
                    },
        
                    sqlite3.SQLITE_IGNORE: {
                        sqlite3.SQLITE_PRAGMA
                    }
        
        }
        ```
        
        You can define your own authorization policy in a python dictionary(as shown above) and pass it to the `SQLiteServer` class
        as `auth_config` parameter.
        It is recommended you **do not** override the `SQLITE_PRAGMA` action as the database starts in `pragma journal_mode=wal` mode 
        
        
        
        
        
Keywords: sqlite client server
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Description-Content-Type: text/markdown
