iceberg-diag 0.1.5

Upsolver Iceberg Auditor CLI

Iceberg Diagnostics Tool

Overview

The Iceberg Table Analysis CLI Tool evaluates Iceberg tables to identify how Upsolver optimizations can enhance efficiency.
It presents a side-by-side comparison of current metrics against potential improvements in scan durations, file counts, and file sizes, providing a straightforward assessment of optimization opportunities.

Installation

iceberg-diag can be installed using either Brew or PIP, as detailed below:

Using PIP

Prerequisites

• Python 3.8 or higher: Verify Python's installation:

  python3 --version
  

To install iceberg-diag using PIP, ensure you have the latest version of pip:

pip install --upgrade pip

Then, install the package with pip

pip install iceberg-diag

Using Brew

Execute the following commands to install iceberg-diag via Brew:

brew tap upsolver/iceberg-diag
brew install iceberg-diag

Usage Instructions

iceberg-diag [options]

Command-Line Options

• -h, --help: Display the help message and exit.
• --profile PROFILE: Set the AWS credentials profile for the session, defaults to the environment's current settings.
• --region REGION: Set the AWS region for operations, defaults to the specified profile's default region.
• --database DATABASE: Set the database name, will list all available iceberg tables if no --table-name provided.
• --table-name TABLE_NAME: Enter the table name or a glob pattern (e.g., '*', 'tbl_*').
• --remote: Enable remote diagnostics by sending data to the Upsolver API for processing.
  Provides more detailed analytics and includes information about file size reducations.
• -v, --verbose: Enable verbose logging

Usage

1. Displaying help information:

    iceberg-diag --help
   

2. Listing all available databases in profile:

   iceberg-diag --profile <profile>
   

3. Listing all available iceberg tables in a given database:

   iceberg-diag --profile <profile> --database <database>
   

4. Running diagnostics on a specific table in a specific AWS profile and region (completely locally):

    iceberg-diag --profile <profile> --region <region> --database <database> --table-name '*'
   

5. Running diagnostics using remote option

   iceberg-diag --profile <profile> --database <database> --table-name 'prod_*' --remote