Ahjo

Bulk insert operation
Bulk insert operation inserts multiple rows of data to target table in chunks. Default chunk size is 1000.
If error occurs, only the original driver error (no insert statements) is printed and logged.
If used driver is `pyodbc`, `fast_executemany` is enabled.

import ahjo.operations as op

records = read_from_csv(file_path)
table = Table(target_table, metadata, schema=target_schema, autoload=True)
op.bulk_insert_into_database(engine, table, records, chunk_size=500)


Badges to README
Latest PyPI release and required Python version badges added.

Improved logging
From this version forward Ahjo has only one logger: `ahjo`. This logger has two handlers: console and file. Log entries are channeled using log levels.

Improved custom action (ahjo_actions) import
In previous versions, the outcome of custom actions (ahjo_actions) import has not been clear and has resulted in confusion few times. From this version forward, when running action, the first thing printed is the status of custom actions (ahjo_actions) import.

Object description update to `deploy` action
Object description are updated to database at the end of `deploy` action. Updated schemas can be controlled with variable `metadata_allowed_schemas`. See README for more info.

Possibility to pass parameters to T-SQL file deploy
It is now possible to pass variables to T-SQL script deploy. See example below.

import ahjo.operations as op

custom_variable = "DB=MY_DB"
op.deploy_sqlfiles(context.get_conn_info(), "./database/views/", "Deploying views", variable=custom_variable)