Add option to disable distributed mode

[dreadatour]

Add option to disable distributed mode by set environment variable:

DATACHAIN_DISTRIBUTED_DISABLED=True

This will be useful to debug queries in SaaS.

Summary by Sourcery

Add an environment variable option to disable distributed mode for debugging.

New Features:

• Introduce DATACHAIN_DISTRIBUTED_DISABLED environment variable to disable distributed mode
• Update get_udf_distributor_class to return None when distributed mode is disabled

[sourcery-ai]

Reviewer's Guide

Introduces a new environment variable to disable distributed processing by short-circuiting the UDF distributor loader, aiding local debugging.

Class diagram for get_udf_distributor_class update

classDiagram
    class loader {
        +get_udf_distributor_class() Optional[type[AbstractUDFDistributor]]
    }
    class AbstractUDFDistributor
    loader ..> AbstractUDFDistributor : returns Optional[type]

Loading

File-Level Changes

Change	Details	Files
Define a flag to disable distributed mode via environment variable	Add DISTRIBUTED_DISABLED constant Document the new env var alongside existing constants	src/datachain/catalog/loader.py
Early exit in get_udf_distributor_class when disabling distributed mode	Check if DISTRIBUTED_DISABLED is set to "True" Return None before attempting to import or load distributor	src/datachain/catalog/loader.py

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[sourcery-ai]

Hey @dreadatour - I've reviewed your changes and they look great!

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[Copilot]

Pull Request Overview

Adds an environment variable flag to disable distributed mode for debugging in SaaS deployments.

• Defines a new DISTRIBUTED_DISABLED constant for the DATACHAIN_DISTRIBUTED_DISABLED env var
• Updates get_udf_distributor_class to early-return None when the flag is set to "True"
• Does not update documentation or tests for the new behavior

Comments suppressed due to low confidence (2)

src/datachain/catalog/loader.py:21

• [nitpick] Consider adding this new environment variable to the project documentation (e.g., README or module docstring) to explain its purpose and usage.

DISTRIBUTED_DISABLED = "DATACHAIN_DISTRIBUTED_DISABLED"

src/datachain/catalog/loader.py:107

• There are no tests covering the new DATACHAIN_DISTRIBUTED_DISABLED behavior. Add unit tests to verify that setting this flag causes get_udf_distributor_class to return None.

    if os.environ.get(DISTRIBUTED_DISABLED) == "True":

[codecov]

Codecov Report

Attention: Patch coverage is 33.33333% with 2 lines in your changes missing coverage. Please review.

Project coverage is 88.63%. Comparing base (8b3c25a) to head (598704d).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
src/datachain/catalog/loader.py	33.33%	1 Missing and 1 partial ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1235      +/-   ##
==========================================
- Coverage   88.66%   88.63%   -0.04%     
==========================================
  Files         153      153              
  Lines       13793    13796       +3     
  Branches     1927     1928       +1     
==========================================
- Hits        12230    12228       -2     
- Misses       1109     1112       +3     
- Partials      454      456       +2     

Flag	Coverage Δ
datachain	88.56% <33.33%> (-0.04%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
src/datachain/catalog/loader.py	74.68% <33.33%> (-1.64%)	⬇️

... and 1 file with indirect coverage changes

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[shcheklein]

How is it useful? Runs faster?

[dreadatour]

How is it useful? Runs faster?

Skip running UDFs in the separate processes (workers) and run it in-place. This helps to find out if problem is within UDF running machinery or somewhere else. Also logs from UDFs right now are not processed completely, this helps to see the logs (this is temporary reason until I'll this this issue).

I have used this few times on localhost while reproducing bugs, it would be nice to have it dev/prod environment for easier investigations.