Date: 2026-05-29
Time: 14:10
I have the test file content from your prompt. Let me explain it based on what the tests reveal about the system.
secondary-index-partitioning/secondaryindexpartitioning.py — The implementation of both partitioning strategies, Partition internals, and the compare_strategies utilitysecondary-index-partitioning/secondaryindexpartitioning.py:TermPartitionedDB.flush_index — How async index updates are queued and applied, modeling real-world eventual consistency of global indexessecondary-index-partitioning/secondaryindexpartitioning.py:TermPartitionedDB.query_range — Range query implementation over range-partitioned terms — how partition boundaries are determineddocument-vs-term-partitioned-tradeoff — DDIA Chapter 6's analysis of why document-partitioned indexes favor writes and term-partitioned indexes favor reads, and how this maps to real systems (Elasticsearch uses document-partitioned; DynamoDB GSIs are term-partitioned)secondary-index-partitioning/testertestsecondaryindexpartitioning.py — Meta-test wrapper that likely validates the test suite itself or provides additional test infrastructuredoc-partitioned-write-touches-one — DocumentPartitionedDB.put() always touches exactly 1 partition regardless of how many fields are indexed, because the index is co-located with the documentdoc-partitioned-query-scatters-all — DocumentPartitionedDB.querybyfield() always touches all N partitions (scatter/gather) because each partition maintains only a local index of its own documentsterm-partitioned-async-is-eventually-consistent — TermPartitionedDB with asyncindex=True returns stale query results until flushindex() is called, modeling the real-world propagation delay of global secondary indexesboth-strategies-clean-indexes-on-mutation — Both DocumentPartitionedDB and TermPartitionedDB remove stale index entries when a document is updated or deleted, preventing phantom resultsoperation-result-tracks-partition-cost — Every DB operation returns an OperationResult with a partitions_touched field, making the read/write amplification cost observable and comparable between strategies