Skip to main content

a simple SQLite query builder with a few bells and whistles

Project description

pytest GitHub issues GitHub license PyPI

HissDB is a SQLite3 frontend with a focus on ease-of-use and tight integration with Python syntax.

Installation

python3 -m pip install hissdb

Usage

Database Setup

from hissdb import Database

# make a new db or load one from an existing path
db = Database('test_location.db')

# add some tables to the database
users = db.create_table(
	id = 'INTEGER PRIMARY KEY',
    first_name = 'TEXT',
    last_name = 'TEXT',
    age = 'INTEGER',
)
posts = db.create_table(
	user_id = 'INTEGER NOT NULL',
    text = 'TEXT',
    date = 'INTEGER',
    foreign_keys = {'user_id': users.id},
)

Writing Data

# inserting a row returns the new rowid
jane_id = users.insert(first_name = 'Jane', last_name = 'Doe')
john_id = users.insert(first_name = 'John', last_name = 'Doe')

posts.insert(
    user_id = john_id,
    date = 20210817,
    text = "I'm John Doe and this is my first post!"
)

# you can also insert many rows at once using a list or generator
posts.insertmany(
    cols = ['user_id', 'date', 'text'],
    rows = [
    	(jane_id, 20210814, "First!"),
    	(jane_id, 20210816, "The weather is nice today."),
    	(jane_id, 20210817, "Do you ever post on the internet just so there's content?"),
	],
)

# you can update data based on matching criteria.
# for instance, let's add a signature to each of Jane's posts
posts.update(
    text = posts.text + ' - ' + users.first_name,
    where = users.id == jane_id,
)

# finally, we must write the changes to the file
db.commit()

Reading Data

# get all users
names = users.fetchall(cols=['first_name', 'last_name'])
assert names == [('Jane', 'Doe'), ('John', 'Doe')]

# get a single column
first_names = users.first_name.fetchall()
assert first_names == ['Jane', 'John']


# easily write WHERE queries
does = users.id.fetchall(where=users.last_name == 'Doe')
# an even simpler equivalent:
does = users.id.fetchall(last_name='Doe')
assert does = [1, 2]

# a few methods like startswith() have been translated to SQL expressions
users.insert(first_name='Dave', last_name='Guy')
non_j_name = users.first_name.fetchone(~users.first_name.startswith('J'))
assert non_j_name == 'Dave'

# you can construct all kinds of queries
full_names = users.fetchall(cols=(users.first_name + ' ' + users.last_name))
assert full_names == [('Jane Doe',), ('John Doe',), ('Dave Guy',)]

For more sample code using HissDB, see the tests.

If you're looking for more detailed documentation, check out the library reference.

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

hissdb-0.0.1.tar.gz (30.3 kB view details)

Uploaded Source

Built Distribution

hissdb-0.0.1-py3-none-any.whl (31.7 kB view details)

Uploaded Python 3

File details

Details for the file hissdb-0.0.1.tar.gz.

File metadata

  • Download URL: hissdb-0.0.1.tar.gz
  • Upload date:
  • Size: 30.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6

File hashes

Hashes for hissdb-0.0.1.tar.gz
Algorithm Hash digest
SHA256 580b3570075610794c76f84b6b34018c2fbdd5f3673390a8e50a93cff5476ee4
MD5 4b205398d9ac3e6b23867193ee115cad
BLAKE2b-256 7232a2ce2b9eb812dc4c5d3c0ef6541195dd4ea9b345b9799a5296756f151f0e

See more details on using hashes here.

File details

Details for the file hissdb-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: hissdb-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 31.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6

File hashes

Hashes for hissdb-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8bea189dcff5958853582500081ad0ccfe22030016aef2d81498b051bf4657fb
MD5 7d9afc0057f40be529693227c4d813f1
BLAKE2b-256 c7a6624a74481f3b5689678a009b9572c6dd7936a8459aabe1b52bc5cec66b28

See more details on using hashes here.

Supported by

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