Skip to main content

tools collection for data engineer

Project description

This pacakge provides various tools to perform task on data, in easy and efficient manner; more modules could be added into the tools collection with development.

  1. universal way to connect most database softwares via JDBC (include kerberos auth for Hive), using Fast/Batch load technology to speed up the temporary table creation and query; as well as functions to convert clob into string or save the blob into specified file.

  2. add multiprocessing capablity to pandas dataframe when dealing with cpu intensive operation on large volume data.

  3. form based authentication module for requests package.

  4. restapi client using aiohttp package with retry function.

sample usage:

## connect to mysql
    import pydtc

    conn = pydtc.connect('mysql', '127.0.0.1', 'user', 'pass')
    pydtc.read_sql('select * from demo.sample', conn)
    conn.close()

### or use with clause for auto close
    with pydtc.connect('mysql', '127.0.0.1', 'user', 'pass') as conn:
        conn.read_sql('select * from demo.sample')
        # pydtc.read_sql('select * from demo.sample', conn)

    ## DBAPI 2.0    
    with pydtc.connect_dbapi('mysql', '127.0.0.1', 'user', 'pass') as conn:
        pd.read_sql('select * from demo.sample', conn)

## pandas multiprocessing groupby then apply
    def func(df, key, value):
        dd = {key : value}
        dd['some_key'] = [len(df.other_key)]

        return pd.DataFrame(dd)

    new_df = pydtc.p_groupby_apply(func, df, 'group_key')

## access web page in website with form based authenticaion
    from pydtc import HttpFormAuth
    import requests

    r = requests.get('http://www.example.com/private_webpage.html', auth=HttpFormAuth('user', 'password'))

## restapi get and update
# Fake Online REST API for Testing and Prototyping
# https://jsonplaceholder.typicode.com/
    from pydtc import api_get, api_update

    api_get('https://jsonplaceholder.typicode.com/todos/1')
    # or
    api_update('https://jsonplaceholder.typicode.com/todos/1', data={'title': 'foo'}, method='patch')

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

pydtc-0.8.4.tar.gz (10.3 kB view details)

Uploaded Source

File details

Details for the file pydtc-0.8.4.tar.gz.

File metadata

  • Download URL: pydtc-0.8.4.tar.gz
  • Upload date:
  • Size: 10.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for pydtc-0.8.4.tar.gz
Algorithm Hash digest
SHA256 ce9cb0a3a948747ce91d0dfee80484ccbd6cd3f0dad6134e32784841172eaa90
MD5 9667ad0e98857f51b5889f111a7d57ea
BLAKE2b-256 530aa02726305a0efef91769f480c0d32e33eef33dc40e4c2245d9e0783e6cc7

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 Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page