
Andrey Sokolov enhanced database reliability and observability across Apache Cloudberry and GreengageDB/greengage over a three-month period. He improved the gp_exttable_fdw test suite in Cloudberry by aligning test syntax and strengthening CI robustness using SQL and database management skills. In the same repository, he optimized PostgreSQL query planning by adjusting the join_collapse_limit, reducing planning time and memory usage for complex joins. For GreengageDB/greengage, Andrey developed a C-based extension to track disk usage of temporary tables, enabling better resource monitoring and capacity planning. His work demonstrated depth in C programming, PostgreSQL internals, and database optimization for production environments.

February 2026 (GreengageDB/greengage): Delivered the Temporary Tables Statistics Extension to enable visibility into disk usage by temporary tables and to provide a retrieval function for statistics. This enhances resource management, enables proactive capacity planning, and improves troubleshooting for temporary-disk pressure scenarios. There were no major bugs fixed documented for this month in the repository. Overall, the work strengthens observability, reliability, and scalability for workloads relying on temporary resources. Technologies demonstrated include database extension development, telemetry instrumentation, and careful change management in a core data platform.
February 2026 (GreengageDB/greengage): Delivered the Temporary Tables Statistics Extension to enable visibility into disk usage by temporary tables and to provide a retrieval function for statistics. This enhances resource management, enables proactive capacity planning, and improves troubleshooting for temporary-disk pressure scenarios. There were no major bugs fixed documented for this month in the repository. Overall, the work strengthens observability, reliability, and scalability for workloads relying on temporary resources. Technologies demonstrated include database extension development, telemetry instrumentation, and careful change management in a core data platform.
January 2026 (apache/cloudberry) — Delivered a targeted performance improvement for complex join planning in PostgreSQL. By changing the default join_collapse_limit from 20 to 13, we reduced the risk of extremely long planning times and high memory usage on multi-join queries, aligning the planner behavior with practical execution times while maintaining acceptable plan quality. The change is supported by added tests and tracked under commit b245e4d758a8a1d0c3fb0269b088d51a6ba5e728. Business impact includes faster query plans for complex workloads, better resource utilization, and more predictable performance for users handling large join graphs.
January 2026 (apache/cloudberry) — Delivered a targeted performance improvement for complex join planning in PostgreSQL. By changing the default join_collapse_limit from 20 to 13, we reduced the risk of extremely long planning times and high memory usage on multi-join queries, aligning the planner behavior with practical execution times while maintaining acceptable plan quality. The change is supported by added tests and tracked under commit b245e4d758a8a1d0c3fb0269b088d51a6ba5e728. Business impact includes faster query plans for complex workloads, better resource utilization, and more predictable performance for users handling large join graphs.
December 2025: Apache Cloudberry (gp_exttable_fdw) stability and reliability improvements focused on test syntax alignment and CI robustness.
December 2025: Apache Cloudberry (gp_exttable_fdw) stability and reliability improvements focused on test syntax alignment and CI robustness.
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