RP-13: Design Elasticsearch indexing strategy#10
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…ices and ILM lifecycle
Index strategy:
- Daily rolling indices: rp-tl-{yyyy.MM.dd}
- Index template with strict mappings (keyword, text, date, flattened)
- ILM policy: hot (1d/50GB) -> warm (7d) -> cold (30d) -> delete (90d)
Adapter:
- ElasticsearchLogStore implementing LogStore (write, write_batch,
query, count, health)
- ElasticsearchConfig model with sensible defaults
- Bootstrap creates ILM policy and index template on startup
Interface:
- LogFilter extended with offset, sort_order, query_string
- LogStore interface gains write_batch() and count()
Dependencies:
- elasticsearch>=8.15,<9 added to pyproject.toml and
ingestion-service requirements
Documentation:
- docs/elasticsearch-indexing.md: naming, mappings, query patterns,
retention, future considerations
Tests: 37 unit tests covering naming, query building, lifecycle, CRUD
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feat: design elasticsearch indexing strategy and logstore adapter