Skip to main content

SQL for Humans enhanced.

Project description

PyPI CI Coverage License

ezrecords is a very simple, but powerful, library for making raw SQL queries to most relational databases.

ezrecords = Kenneth Reitz’s records + Justin Vincent’s ezsql + WordPress’ wpdb - SQLAlchemy.

Just write SQL. No bells, no whistles. This common task can be surprisingly difficult with the standard tools available. This library strives to make this workflow as simple as possible, while providing an elegant interface to work with your query results.

Database support includes SQLite, Postgres, and MySQL (drivers not included).

Why?

  • records is awesome

  • ezsql and wpdb have very nice API, so it makes for an easy transition from PHP to Python

  • Our love for crafting well written and performant SQL queries is not questionable, but I think a few helpers for some basic DML and recurring queries would help

  • “The ORM takes two brilliant ideas and incapacitates them both.”, said a very wise man. So, as long as possible I want to keep away from SQLAlchemy or the like.

Usage

API

import logging
from ezrecords.mysqldb import MySQLDb

logger = logging.getLogger()

# connect
db = MySQLDb(db_url="mysql://root:passwd@127.0.0.1:3306/test", logger=logger) # logger is optional

# enable debugging - optional
db.save_queries = True  # save queries and execution time
db.show_sql = True  # show SQL code being executed. logger above is required for logging to work
db.show_errors = True  # show errors

create_user_table = """
CREATE TABLE test_user (
    id INT AUTO_INCREMENT NOT NULL,
    username varchar(255) UNIQUE,
    password varchar(255),
    created_at TIMESTAMP,
    created_at_gmt TIMESTAMP,
    PRIMARY KEY(id)
)
"""
db.query(create_table) # run generic SQL

create_numbers_table = """
DROP TABLE IF EXISTS numbers;
CREATE TABLE numbers(
    ints int,
    floats float
);
"""
db.query(create_table_sql)

insert_numbers_sql = "INSERT INTO numbers (ints, floats) VALUES (%d, %f)" # DB API only accepts %s, so we replace %d and %f by %s internally
db.query(insert_numbers_sql, 3, 3.14) # run generic queries with params

# insert records
db.insert('test_user', username='scott', password='tiger', created_at=datetime.datetime.now())
db.insert('test_user', {'username': 'JONES', 'password': 'STEEL'})

# bulk_insert records
db.bulk_insert('test_user', ('username', 'password'), [('scott', 'tiger'), ('JONES', 'STEEL')])

# Update records
db.update('test_user', {'password': 'shepard'}, {'username': 'scott'})

# Delete records
db.delete('test_user', {'username': None}) # None is converted to NULL

# Sanitize query
db.prepare("""INSERT INTO postmeta (post_id, meta_key, meta_value) VALUES ( '%d', "%s", %%s )')""", 10, "Harriet's Adages", "WordPress' database interface is like Sunday Morning: Easy.")

# Call stored procedures
db.call_procedure('adds', 1, 2)

# Get single variable/value
db.get_var('SELECT version()')

# Get specific row from many results
db.get_row('SELECT * FROM test_user', row_offset=1) # if offset not given the first row is returned

# Get specific column from many results
db.get_col('SELECT username, password FROM test_user', column_offset='password')  # offset can be numeric too

# Get results in specific format
db.get_results('SELECT username, password FROM test_user', 'json')
# Get last inserted ID from AUTO_INCREMENT/SERIAL fields
db.insert('test_user', username='scott', password='tiger', created_at=datetime.datetime.now())
db.last_insert_id

# Get number of affected rows from previus query
db.delete('test_user')
db.affected_rows

# Switch to another database
db.use('information_schema')

# Check query timing
# execute long running query
db.last_query_elapsed_time

# Transactions
# ---
db.begin_transaction()
db.commit() # or db.rollback()

# Data export
rows = db.query('SELECT * FROM table')
rows.dataset
rows.export('csv') # yaml, json, xls, xlsx

# Goodies
db.db_version() # get server version
db.exists('table') # check if table exists
db.get_table_names() # get list of tables in database
db.flush() # clear cache results

CLI

As an added bonus, a records command-line tool is automatically included. Here’s a screenshot of the usage information:

CLI

Here’s some usage example

ezrecords -h
ezrecords "SELECT version() AS version" "json" --url="mysql://root:passwd@127.0.0.1:3306/test"
ezrecords "SELECT version() AS version" "json" --url="postgres://postgres:passwd@127.0.0.1:5432/test"
ezrecords "SELECT sqlite_version() AS version" "json" --url="sqlite:///:memory:"

Installation

pip install ezrecords

ezrecords runs with Python 2.7 and 3.5.

Documentation Generation

# edit documentation in _docs
cd _docs
make singlehtml
cd ..
cp -fR _docs/_build/singlehtml/* docs/

Thank you

Thanks for checking this library out! I hope you find it useful.

Of course, there’s always room for improvement. Feel free to open an issue so we can make ezrecords better, faster, and stronger.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ezrecords-1.0.0.tar.gz (188.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ezrecords-1.0.0-py3-none-any.whl (189.6 kB view details)

Uploaded Python 3

File details

Details for the file ezrecords-1.0.0.tar.gz.

File metadata

  • Download URL: ezrecords-1.0.0.tar.gz
  • Upload date:
  • Size: 188.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for ezrecords-1.0.0.tar.gz
Algorithm Hash digest
SHA256 ec0a2c58a83a84ea49a3ebd3779d17816b203e7fb70ef8c30fe37ed1456851c5
MD5 4e75f32195dd2ed31476c2aa359920d7
BLAKE2b-256 18f2de527c28c268a4bac6ab70731f107f25176d18591dc1d8e45ac05507fccc

See more details on using hashes here.

File details

Details for the file ezrecords-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: ezrecords-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 189.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for ezrecords-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 98f69c3cf70bbe39f284d14010e08fdc48fc8ef5bc973cda305ab367a217824c
MD5 796d8a81eb10113def3e199fb45951fe
BLAKE2b-256 4c9283c6c81eb9e3ff4cc99909608730d15bf69efc13fef36b61a783ca3fedc1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page