tablediff-cli 0.2.3

CLI tool for data diffing between two tables

tablediff

CLI tool for data diffing between two tables:

Installation

The package is available in PyPi and can be installed by specifying the package name and the adapter for your database.

Currently it was tested with DuckDB and Snowflake, but technically should support all adapters that reladiff supports:

Adapter	Command
DuckDB	pip install tablediff-cli[duckdb]
Snowflake	pip install tablediff-cli[snowflake]

To install all available adapters try:

pip install tablediff-cli[all]

Requires Python 3.10+. Technically can be downported to earlier versions, let me know if you need it.

Usage

Once installed, use command-line to run the diffing process:

tablediff TABLE_A TABLE_B --pk PRIMARY_KEY --conn CONNECTION_STRING [OPTIONS]

• tables should be in format table_name or schema.table_name or database.schema.table_name
  • for Snowflake use all identifiers in UPPERCASE
• --pk is the primary key column (should exist in both tables)
• --conn is the database connection string

Here are a could of examples of connection strings:

• DuckDB

  duckdb://<file_path>
  

• Snowflake

  "snowflake://<user>[:<password>]@<account>/<database>/<SCHEMA>?warehouse=<WAREHOUSE>&role=<role>[&authenticator=externalbrowser]" 
  

For other databases check docs for reladiff.

Examples

Diffing in DuckDB:

tablediff users_prod users_dev --pk id --conn duckdb://./sample.duckdb

Diffing in Snowflake:

tablediff DEV.MART.USERS PROD.MART.USERS \
  --pk USER_ID \
  --conn "snowflake://..."

Extended output

If you pass --extended you'll get an extended output that will show you:

• Common and unique columns in both tables
• For rows, it will return:
  • 5 id's that are not matching
  • 5 id's that exist only in table A and B

Package development

Clone the repo:

git clone [e-mail]:oleg-agapov/tablediff.git

Now setup the local environment (I'm using uv):

# Setup virtual environment
uv sync --extra dev
source .venv/bin/activate

# Run tests
pytest

Generating sample DuckDB for local testing

Use Python script:

python scripts/generate_duckdb_test_data.py \
  --db-path sample.duckdb \
  --prod-rows 23753 \
  --dev-remove-rows 342 \
  --dev-add-rows 30 \
  --dev-null-status-rows 578

And then:

tablediff users_dev users_prod --pk id --conn duckdb://./sample.duckdb

Future roadmap

• Add pre-commit hooks (check vesion bump?)
• Add tests
• Add dbt support