dabla opened a new pull request, #68207:
URL: https://github.com/apache/airflow/pull/68207

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   ## Summary
   
   This PR optimizes `PostgresHook.insert_rows()` when `fast_executemany=True` 
by switching from `execute_batch` to `execute_values` for psycopg2, which 
provides significantly better bulk insert performance.
   
   ## Changes
   
   - **psycopg2 with `fast_executemany=True`**: Now uses 
`psycopg2.extras.execute_values()` instead of `execute_batch()`. This batches 
all rows into a single `INSERT` statement with multiple value tuples, reducing 
round-trips and improving throughput.
   
   - **psycopg3**: Falls back to the default `DbApiHook.insert_rows()` 
implementation. psycopg3's native `executemany` already uses pipelining 
internally, so there's no benefit to a custom implementation—and 
`execute_values` is not compatible with psycopg3.
   
   - **Format string handling**: Both code paths now explicitly set 
`_insert_statement_format` to ensure correct SQL generation and self-healing if 
a previous call failed mid-execution.
   
   ## Why execute_values over execute_batch?
   
   | Method | Behavior |
   |--------|----------|
   | `execute_batch` | Sends multiple `INSERT` statements in batches |
   | `execute_values` | Sends a single `INSERT ... VALUES (...), (...), (...)` 
statement |
   
   `execute_values` is typically 2-3x faster for bulk inserts because it 
minimizes statement parsing overhead and network round-trips.
   
   ## Testing
   
   - Updated existing tests to verify `execute_values` is called instead of 
`execute_batch`
   - Added new test to verify psycopg3 correctly falls back to the default 
implementation even when `fast_executemany=True`
   
   ---
   
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