Optimize parallel report download example #1051
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Refactored `examples/reporting/parallel_report_download.py` to write report results directly to disk in the worker processes. This avoids collecting large result sets in memory and transmitting them back to the main process, significantly reducing memory usage and IPC overhead for large reports. Updated the main loop to display the generated filenames instead of the raw data.
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Optimized
examples/reporting/parallel_report_download.pyto write report results to files instead of memory.This change prevents potential memory exhaustion when processing large reports and improves the scalability of the example.
The worker processes now generate unique filenames based on the customer ID and query hash, and the main process reports these filenames.
PR created automatically by Jules for task 46367303318604143 started by @bobhancockg