stankiewicz opened a new pull request, #38983:
URL: https://github.com/apache/beam/pull/38983

   Fixes: https://github.com/apache/beam/issues/38982
   
    #### Description
   
   This PR optimizes BigQuery copy jobs in the Python SDK's file loads path by 
utilizing BigQuery's multi-source copy feature. Instead of triggering a 
separate copy job for each temporary table, we now group 
   them and trigger a single copy job with up to 1,200 sources (BigQuery limit).
   
   #### Key Changes
   
     • Multi-source Copy Support: Updated  BigQueryWrapper._insert_copy_job  to 
accept a list of source tables and construct the API request with  sourceTables 
 when multiple sources are provided.              
     • Batch Copying: Re-implemented  TriggerCopyJobs  to process temporary 
tables in batch per destination, splitting them into chunks of 1,200 and using 
multi-source copy.
     • Truncate/Empty Handling: Implemented inline wait for the first chunk 
copy job when using  WRITE_TRUNCATE  or  WRITE_EMPTY  with multiple chunks. 
This ensures the destination table is correctly           
     initialized (truncated/verified empty) before subsequent chunks append 
data to it.
     • Grouping Key Fix: Fixed a bug in  _load_data  where tables with the same 
name in different datasets would be incorrectly grouped together because the 
grouping key was only  tableId . It now uses the full
     hashable_destination .
     • Test Cleanups & Additions:
         • Added  test_copy_jobs_splitting  to verify the splitting logic and 
inline wait logic.
         • Updated existing tests to match the new behavior (fewer copy jobs).
         • Fixed credential warnings in  TriggerLoadJobs  during testing by 
using the correct mocked client wrapper.
         • Fixed  PartitionFiles  to avoid generating empty partitions.
   
   
   
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