search optimisation
Build and Push Docker Image / build (push) Failing after 13s

This commit is contained in:
Worph
2026-07-10 22:56:59 +02:00
parent 075d6f9bcb
commit d268bb83e6
4 changed files with 240 additions and 26 deletions
+110
View File
@@ -0,0 +1,110 @@
package api
import (
"log"
"net/http"
"strings"
"sync"
"sync/atomic"
"time"
"github.com/metazla/meta-core/internal/storage"
)
// searchIndexRefreshInterval is how often the in-memory search index is rebuilt
// from Redis in the background. Records ingest continuously, so a newly stored
// record becomes searchable within one interval; the rebuild is a single
// batched bulk read (storage.GetSearchIndexTuples), off the request path.
const searchIndexRefreshInterval = 60 * time.Second
// searchIndex is an in-memory snapshot of every record's search haystack
// (hashID + lowercased searchable fields), rebuilt periodically from Redis. It
// exists so POST /api/metadata/search matches in memory (string ops over a
// slice) instead of doing a SCAN+MGET Redis round-trip per record — the latter
// took 40s+ over ~72k records and made a live parallel search path unusable.
type searchIndex struct {
mu sync.RWMutex
tuples []storage.SearchTuple
ready atomic.Bool
}
// snapshot returns the current tuples slice and whether the index has built at
// least once. The refresh swaps in a fresh slice under the write lock (never
// mutates in place), so the returned slice is safe to read lock-free.
func (idx *searchIndex) snapshot() ([]storage.SearchTuple, bool) {
idx.mu.RLock()
defer idx.mu.RUnlock()
return idx.tuples, idx.ready.Load()
}
// refresh rebuilds the index from Redis once (a batched bulk read).
func (idx *searchIndex) refresh(stor *storage.Client) {
if stor == nil || !stor.IsConnected() {
return
}
tuples, err := stor.GetSearchIndexTuples()
if err != nil {
log.Printf("[API] search index refresh failed: %v", err)
return
}
idx.mu.Lock()
idx.tuples = tuples
idx.mu.Unlock()
idx.ready.Store(true)
}
// runRefreshLoop builds the index immediately, then rebuilds on a ticker for the
// process lifetime.
func (idx *searchIndex) runRefreshLoop(stor *storage.Client) {
idx.refresh(stor)
ticker := time.NewTicker(searchIndexRefreshInterval)
defer ticker.Stop()
for range ticker.C {
idx.refresh(stor)
}
}
// serveIndexedSearch answers a free-text (non-property) query from the in-memory
// index: token-AND match against each record's haystack (or a whole-query hashID
// substring, preserving the legacy behaviour), then fetch full metadata for only
// the <=limit matches. No Redis round-trip per scanned record.
func (s *Server) serveIndexedSearch(w http.ResponseWriter, req MetadataSearchRequest) {
tuples, ready := s.search.snapshot()
if !ready {
// First call before the background build finished: warm inline with the
// efficient batched read (seconds), never the per-record SCAN fallback.
s.search.refresh(s.storage)
tuples, _ = s.search.snapshot()
}
tokens := strings.Fields(strings.ToLower(req.Query))
queryLower := strings.ToLower(req.Query)
results := make([]MetadataSearchResult, 0, req.Limit)
for _, t := range tuples {
if len(results) >= req.Limit {
break
}
if !matchAllTokens(t.Haystack, tokens) &&
!strings.Contains(strings.ToLower(t.HashID), queryLower) {
continue
}
// Full metadata is cached in the index — return it straight from memory,
// no Redis round-trip per result.
results = append(results, MetadataSearchResult{HashID: t.HashID, Metadata: t.Fields})
}
writeJSON(w, http.StatusOK, MetadataSearchResponse{
Results: results,
Count: len(results),
Total: len(tuples),
})
}
// matchAllTokens reports whether haystack contains every token (AND semantics).
// An empty token list matches everything.
func matchAllTokens(haystack string, tokens []string) bool {
for _, t := range tokens {
if !strings.Contains(haystack, t) {
return false
}
}
return true
}