pydbtools 5.5.15

A python package to query data via amazon athena and bring it into a pandas df using aws-wrangler.

pydbtools

A package that is used to run SQL queries speficially configured for the Analytical Platform. This packages uses AWS Wrangler's Athena module but adds additional functionality (like Jinja templating, creating temporary tables) and alters some configuration to our specification.

Installation

Requires a pip release above 20.

## To install from pypi
pip install pydbtools

## Or install from git with a specific release
pip install "pydbtools @ git+https://github.com/moj-analytical-services/pydbtools@v4.0.1"

Quickstart guide

The examples directory contains more detailed notebooks demonstrating the use of this library, many of which are borrowed from the mojap-aws-tools-demo repo.

Read an SQL Athena query into a pandas dataframe

import pydbtools as pydb
df = pydb.read_sql_query("SELECT * from a_database.table LIMIT 10")

Run a query in Athena

response = pydb.start_query_execution_and_wait("CREATE DATABASE IF NOT EXISTS my_test_database")

Create a temporary table to do further separate SQL queries on later

pydb.create_temp_table("SELECT a_col, count(*) as n FROM a_database.table GROUP BY a_col", table_name="temp_table_1")
df = pydb.read_sql_query("SELECT * FROM __temp__.temp_table_1 WHERE n < 10")

pydb.dataframe_to_temp_table(my_dataframe, "my_table")
df = pydb.read_sql_query("select * from __temp__.my_table where year = 2022")

Notes

• Amazon Athena using a flavour of SQL called presto docs can be found here
• To query a date column in Athena you need to specify that your value is a date e.g. SELECT * FROM db.table WHERE date_col > date '2018-12-31'
• To query a datetime or timestamp column in Athena you need to specify that your value is a timestamp e.g. SELECT * FROM db.table WHERE datetime_col > timestamp '2018-12-31 23:59:59'
• Note dates and datetimes formatting used above. See more specifics around date and datetimes here
• To specify a string in the sql query always use '' not "". Using ""'s means that you are referencing a database, table or col, etc.

See changelog for release changes.