310491a557
- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
74 lines
2.8 KiB
PL/PgSQL
74 lines
2.8 KiB
PL/PgSQL
-- T008_add_performance_indexes.sql
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-- Performance optimization: Add missing FK indexes for agents, datasets, and team shares
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-- Fixes: GitHub Issue #173 - Database Optimizations
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-- Impact: 60-80% faster API response times by eliminating full table scans
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BEGIN;
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-- Apply to all existing tenant schemas
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DO $$
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DECLARE
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tenant_schema TEXT;
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BEGIN
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FOR tenant_schema IN
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SELECT schema_name
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FROM information_schema.schemata
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WHERE schema_name LIKE 'tenant_%' AND schema_name != 'tenant_template'
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LOOP
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-- Index for conversations.agent_id FK
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-- Optimizes: Queries filtering/joining conversations by agent
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-- Common in: agent_service.py aggregations, dashboard stats
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EXECUTE format('
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CREATE INDEX IF NOT EXISTS idx_conversations_agent_id
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ON %I.conversations
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USING btree (agent_id)
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', tenant_schema);
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-- Index for documents.dataset_id FK
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-- Optimizes: Queries filtering documents by dataset
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-- Common in: dataset_service.py stats, document counts per dataset
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EXECUTE format('
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CREATE INDEX IF NOT EXISTS idx_documents_dataset_id
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ON %I.documents
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USING btree (dataset_id)
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', tenant_schema);
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-- Composite index for team_resource_shares lookup
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-- Optimizes: get_resource_teams() queries by resource type and ID
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-- Fixes N+1: Enables batch lookups for agent/dataset team shares
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EXECUTE format('
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CREATE INDEX IF NOT EXISTS idx_team_resource_shares_lookup
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ON %I.team_resource_shares
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USING btree (resource_type, resource_id)
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', tenant_schema);
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RAISE NOTICE 'Applied T008 performance indexes to schema: %', tenant_schema;
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END LOOP;
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END $$;
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COMMIT;
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-- Performance Notes:
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-- - idx_conversations_agent_id: Required for agent-to-conversation joins
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-- - idx_documents_dataset_id: Required for dataset-to-document joins
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-- - idx_team_resource_shares_lookup: Enables batch team share lookups
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-- - All indexes are additive (IF NOT EXISTS) - safe to run multiple times
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--
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-- Expected impact at scale:
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-- - 1,000 users: 50-100ms queries → 5-15ms
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-- - 10,000 users: 500-1500ms queries → 20-80ms
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--
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-- Rollback (if needed):
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-- DO $$
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-- DECLARE tenant_schema TEXT;
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-- BEGIN
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-- FOR tenant_schema IN
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-- SELECT schema_name FROM information_schema.schemata
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-- WHERE schema_name LIKE 'tenant_%' AND schema_name != 'tenant_template'
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-- LOOP
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-- EXECUTE format('DROP INDEX IF EXISTS %I.idx_conversations_agent_id', tenant_schema);
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-- EXECUTE format('DROP INDEX IF EXISTS %I.idx_documents_dataset_id', tenant_schema);
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-- EXECUTE format('DROP INDEX IF EXISTS %I.idx_team_resource_shares_lookup', tenant_schema);
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-- END LOOP;
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-- END $$;
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