Snowflake Query History Extractor

Extracts query history and performance metadata from Snowflake using the Snowflake Python Connector and INFORMATION_SCHEMA.QUERY_HISTORY view. Identifies expensive queries by credits consumed, data scanned, and spillage to remote storage. Exports results to a Pandas DataFrame for downstream analysis or Slack reporting.

Installation

Use the upstream install or setup path that matches your environment:

• git clone git@github.com:snowflakedb/snowflake-connector-python.git
• python -m pip install -U pip setuptools wheel build

Requirements and caveats from upstream:

• Snowflake Connector for Python

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Basic usage or getting-started notes:

• to create a wheel package using PEP-517 build:

• shell

• Find the snowflake_connector_python*.whl package in the ./dist directory.

• Source: https://github.com/snowflakedb/snowflake-connector-python

• Extracted from upstream docs: https://raw.githubusercontent.com/snowflakedb/snowflake-connector-python/HEAD/README.md

Source

• Agent Skill Exchange