Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment.

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Database Driversdatabank
Overview

Databank

Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment.

No ORM, no frills. Thread-safe. Only raw SQL queries and parameter binding. Built on top of SQLAlchemy.

Installation

You can install the latest stable version from PyPI

$ pip install databank

Adapters are not included. To work with PostgreSQL for example, you have to install psycopg2 as well:

$ pip install psycopg2

Usage

>> db.execute("INSERT INTO table VALUES (:a, :b);", {"a": 0, "b": 1}) >>> db.fetch_one("SELECT * FROM table;") {"a": 0, "b": 1} "> 
>>> from databank import Database
>>> db = Database("...")
>>> db.execute("INSERT INTO table VALUES (:a, :b);", {"a": 0, "b": 1})
>>> db.fetch_one("SELECT * FROM table;")
{"a": 0, "b": 1}
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Comments
  • add execute_fetch_all function

    add execute_fetch_all function

    Request

    A new function which allows for execute and fetch in same session.

    Reason

    In some special cases, the query planner incorrectly estimates the cost, and choose a bad fetch plan. By changing the cost setting in the session, we can guide the query planner to choose a good fetch plan.

    Example

    DB.execute_fetch_all(
    """
    set random_page_cost = 2;
    SELECT ... 
    """,
)
    opened by adam444555 0
  • allow empty input and return None

    allow empty input and return None

    Allow empty inputs to serializing util function. This allows reading from an API which could include empty values and still return a valid format for databases.

    opened by Philipduerholt 0
  • Column name duplicates unexpected behaviour

    Column name duplicates unexpected behaviour

    Using fetch_all() with a JOIN in the query, resulting in a result containing the same column name twice, shows only one of both resulting columns in output dictionary.

    Example:

    Two tables contain a column called name. We join both tables and the result table now has two columns called name. With fetch_all() we only get one result set for a column called name (dictionary has unique keys).

    Possible fixes:

    • Throw a warning when the result set has a duplicate column name
    • Rename columns in output dictionary when the result set has a duplicate column name
    • If possible use table alias for each of the repeated column names as prefix in output dictionary key, separated by underscore
    good first issue 
    opened by Philipduerholt 4
Releases(v0.2.0)
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snapADDY GmbH
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