mirror of
https://github.com/ClusterCockpit/cc-backend
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Checkpoint: af7afc9a29ff
Entire-Session: c31c699a-f492-48f7-bcf0-35d3ceeac243 Entire-Strategy: manual-commit Entire-Agent: Claude Code Ephemeral-branch: entire/eba3995-e3b0c4
This commit is contained in:
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af/7afc9a29ff/0/content_hash.txt
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sha256:2acb0c920c03e15d278d2ceab4ca80e35ae17c4c587ab7ee35844144cac5e341
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af/7afc9a29ff/0/context.md
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# Session Context
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## User Prompts
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### Prompt 1
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Implement the following plan:
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# Optimize Job Table Indexes for 20M Row Production Database
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## Context
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The `job` table has **79 indexes** (created in migrations 08/09), causing:
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1. **Wrong index selection** — without `ANALYZE` statistics, SQLite picks wrong indexes (e.g., `jobs_jobstate_energy` instead of `jobs_starttime` for ORDER BY queries), causing full-table temp B-tree sorts on 20M rows → timeouts
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2. **Excessive disk/memory overhead** — each index costs ~200-400MB at 20M rows; 79 inde...
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af/7afc9a29ff/0/full.jsonl
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af/7afc9a29ff/0/metadata.json
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af/7afc9a29ff/0/metadata.json
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{
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"cli_version": "0.4.8",
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"checkpoint_id": "af7afc9a29ff",
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"session_id": "c31c699a-f492-48f7-bcf0-35d3ceeac243",
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"strategy": "manual-commit",
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"created_at": "2026-03-11T04:46:04.68213Z",
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"branch": "optimize-db-indices",
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"checkpoints_count": 1,
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"files_touched": [
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"internal/repository/migration.go",
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"internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql",
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"internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql"
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],
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"agent": "Claude Code",
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"turn_id": "93c57808e96c",
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"token_usage": {
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"input_tokens": 9,
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"cache_creation_tokens": 28556,
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"cache_read_tokens": 187757,
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"output_tokens": 8980,
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"api_call_count": 7
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},
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"initial_attribution": {
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"calculated_at": "2026-03-11T04:46:04.63428Z",
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"agent_lines": 385,
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"human_added": 166,
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"human_modified": 0,
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"human_removed": 0,
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"total_committed": 551,
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"agent_percentage": 69.87295825771325
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}
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}
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af/7afc9a29ff/0/prompt.txt
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Implement the following plan:
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# Optimize Job Table Indexes for 20M Row Production Database
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## Context
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The `job` table has **79 indexes** (created in migrations 08/09), causing:
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1. **Wrong index selection** — without `ANALYZE` statistics, SQLite picks wrong indexes (e.g., `jobs_jobstate_energy` instead of `jobs_starttime` for ORDER BY queries), causing full-table temp B-tree sorts on 20M rows → timeouts
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2. **Excessive disk/memory overhead** — each index costs ~200-400MB at 20M rows; 79 indexes = ~16-32GB wasted
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3. **Slower writes** — every INSERT/UPDATE touches all 79 indexes
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4. **Planner confusion** — too many similar indexes make the query planner's cost estimation unreliable
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The `ANALYZE` fix (already added to `setupSqlite` in `dbConnection.go`) resolves the planner issue with current indexes, but the index count must be reduced for disk/write performance.
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## Approach: Reduce to 20 indexes
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The key insight from query plan analysis: with `ANALYZE` and `LIMIT`, a `(filter_col, sort_col)` index is often better than `(filter_col1, filter_col2, sort_col)` because SQLite can scan the index in sort order and cheaply filter non-matching rows, stopping at LIMIT.
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### Verified query plans (with ANALYZE, after this change)
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| # | Pattern | Index Used | Plan |
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|---|---------|-----------|------|
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| 1 | Multi-state IN + ORDER BY start_time LIMIT | `jobs_starttime` | SCAN (index order, no sort) |
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| 2 | cluster + state + sort start_time | `jobs_cluster_starttime_duration` | SEARCH |
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| 3 | hpc_user + sort start_time | `jobs_user_starttime_duration` | SEARCH |
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| 4 | cluster + state aggregation | `jobs_cluster_jobstate_duration_starttime` | COVERING SEARCH |
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| 5 | Unique lookup (job_id,cluster,start_time) | `sqlite_autoindex_job_1` | SEARCH |
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| 6 | Running jobs for cluster + duration > | `jobs_cluster_jobstate_duration_starttime` | SEARCH |
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| 7 | start_time BETWEEN range | `jobs_starttime` | SEARCH |
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| 8 | GROUP BY user with cluster | `jobs_cluster_user` | COVERING SEARCH |
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| 9 | Concurrent jobs (cluster + start_time <) | `jobs_cluster_starttime_duration` | SEARCH |
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| 10 | project IN + state IN + sort | `jobs_jobstate_project` | SEARCH + temp sort |
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| 11 | user + multi-state + sort start_time | `jobs_user_starttime_duration` | SEARCH |
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| 12 | cluster + state + sort duration | `jobs_cluster_jobstate_duration_starttime` | SEARCH |
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| 13 | cluster + state + sort num_nodes | `jobs_cluster_numnodes` | SEARCH (state filtered per-row) |
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| 14 | Tag join | `tags_tagid` + PK | SEARCH |
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| 15 | Delete before timestamp | `jobs_starttime` | COVERING SEARCH |
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| 16 | Non-running jobs (GetJobList) | `jobs_jobstate_duration_starttime` | COVERING SCAN |
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## Changes Required
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### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql` (new)
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```sql
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-- Drop all 77 job indexes from migration 09 (sqlite_autoindex_job_1 is UNIQUE, kept)
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-- Then create optimized set of 20
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-- GROUP 1: Global (1 index)
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-- #1 jobs_starttime (start_time)
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-- Default sort for unfiltered/multi-state queries, time range, delete-before
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-- GROUP 2: Cluster-prefixed (8 indexes)
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-- #2 jobs_cluster_starttime_duration (cluster, start_time, duration)
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-- Cluster + default sort, concurrent jobs, time range within cluster
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-- #3 jobs_cluster_duration_starttime (cluster, duration, start_time)
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-- Cluster + sort by duration
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-- #4 jobs_cluster_jobstate_duration_starttime (cluster, job_state, duration, start_time)
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-- COVERING for cluster+state aggregation; running jobs (cluster, state, duration>?)
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-- #5 jobs_cluster_jobstate_starttime_duration (cluster, job_state, start_time, duration)
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-- Cluster+state+sort start_time (single state equality)
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-- #6 jobs_cluster_user (cluster, hpc_user)
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-- COVERING for GROUP BY user with cluster filter
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-- #7 jobs_cluster_project (cluster, project)
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-- GROUP BY project with cluster filter
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-- #8 jobs_cluster_subcluster (cluster, subcluster)
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-- GROUP BY subcluster with cluster filter
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-- #9 jobs_cluster_numnodes (cluster, num_nodes)
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-- Cluster + sort by num_nodes (state filtered per-row, fast with LIMIT)
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-- GROUP 3: User-prefixed (1 index)
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-- #10 jobs_user_starttime_duration (hpc_user, start_time, duration)
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-- Security filter (user role) + default sort
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-- GROUP 4: Project-prefixed (1 index)
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-- #11 jobs_project_starttime_duration (project, start_time, duration)
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-- Security filter (manager role) + default sort
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-- GROUP 5: JobState-prefixed (3 indexes)
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-- #12 jobs_jobstate_project (job_state, project)
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-- State + project filter (for manager security within state query)
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-- #13 jobs_jobstate_user (job_state, hpc_user)
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-- State + user filter/aggregation
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-- #14 jobs_jobstate_duration_starttime (job_state, duration, start_time)
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-- COVERING for non-running jobs scan, state + sort duration
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-- GROUP 6: Rare filters (1 index)
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-- #15 jobs_arrayjobid (array_job_id)
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-- Array job lookup (rare but must be indexed)
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-- GROUP 7: Secondary sort columns (5 indexes)
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-- #16 jobs_cluster_numhwthreads (cluster, num_hwthreads)
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-- #17 jobs_cluster_numacc (cluster, num_acc)
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-- #18 jobs_cluster_energy (cluster, energy)
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-- #19 jobs_cluster_partition_starttime (cluster, cluster_partition, start_time)
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-- Cluster+partition + sort start_time
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-- #20 jobs_cluster_partition_jobstate (cluster, cluster_partition, job_state)
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-- Cluster+partition+state filter
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```
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### What's dropped and why (59 indexes removed)
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| Category | Count | Why redundant |
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|----------|-------|---------------|
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| cluster+partition sort/filter variants | 8 | Kept only 2 partition indexes (#19, #20); rest use cluster indexes + row filter |
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| cluster+shared (all) | 8 | `shared` is rare; cluster index + row filter is fast |
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| shared-prefixed (all) | 8 | `shared` alone is never a leading filter |
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| cluster+jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | Replaced by `(cluster, sort_col)` indexes which work for any state combo with LIMIT |
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| user sort variants (numnodes, hwthreads, acc, energy, duration) | 5 | User result sets are small; temp sort is fast |
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| project sort variants + project_user | 6 | Same reasoning as user |
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| jobstate sort variants (numnodes, hwthreads, acc, energy) | 4 | State has low cardinality; cluster+sort indexes handle these |
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| single-filter+starttime (5) + single-filter+duration (5) | 10 | Queries always have cluster/user/project filter; standalone rare |
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| standalone duration | 1 | Covered by cluster_duration_starttime |
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| duplicate arrayjob variants | 1 | Simplified to single-column (array_job_id) |
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| redundant cluster_starttime variants | 2 | Consolidated into 2 cluster+time indexes |
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| cluster_jobstate_user, cluster_jobstate_project | 2 | Covered by cluster_user/cluster_project + state row filter |
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### File: `internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql` (new)
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Recreate all 77 indexes from migration 09 for safe rollback.
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### File: `internal/repository/migration.go`
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Increment `Version` from `10` to `11`.
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## Verification
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1. `go build ./...` — compiles
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2. `go test ./internal/repository/...` — tests pass
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3. `cc-backend -migrate-db` on a test copy of production DB
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4. After migration, run `ANALYZE;` then verify all 16 query plans match the table above using:
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```sql
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EXPLAIN QUERY PLAN SELECT * FROM job WHERE job.job_state IN ('completed','running','failed') ORDER BY job.start_time DESC LIMIT 50;
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-- Should show: SCAN job USING INDEX jobs_starttime
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```
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5. Verify index count: `SELECT COUNT(*) FROM sqlite_master WHERE type='index' AND tbl_name='job';` → should be 21 (20 + autoindex)
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6. Compare DB file size before/after (expect ~70% reduction in index overhead)
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If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/42401d2e-7d1c-4c0e-abe6-356cb2d48747.jsonl
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