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feat: add pybend Python binding with S3 connection and stage support - #18704
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- Add new Python binding examples for SQL with Parquet on S3 and S3 stages - Implement connection-based table registration with S3/Azure/GCS/OSS/COS support - Add comprehensive stage management functions (create, list, describe, drop) - Update context API to support connection parameter in register_table methods - Enhance embedded configuration with improved logging and directory structure - Add connection tests and update existing test suites for compatibility
bohutang
marked this pull request as draft
September 9, 2025 10:11
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❌ NO RETRY NEEDEDAll failures appear to be code/test issues requiring manual fixes. 🔍 Job Details
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- Add create_python_binding_telemetry_payload function to collect system info - Report telemetry data during init_embedded initialization - Include system specs, cache config, memory management, and storage engine info - Use dedicated event_type 'python_binding_init' and source 'databend-python-binding' - Mandatory reporting for Python binding usage analytics
Ensure license headers match the expected format for license checker.
- Enable intelligent memory management (80% system memory limit, 60% spill threshold) - Simplify README with focused examples for local/remote files and tables - Add comprehensive telemetry for memory and spill configuration - Remove redundant API documentation in favor of practical examples
bohutang
marked this pull request as ready for review
September 9, 2025 23:11
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Summary
feat: add pybend Python binding with S3 connection and stage support
Tests
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