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Posted to issues@lucene.apache.org by GitBox <gi...@apache.org> on 2019/10/11 14:12:17 UTC

[GitHub] [lucene-solr] jpountz commented on a change in pull request #940: LUCENE-9002: Query caching leads to absurdly slow queries

jpountz commented on a change in pull request #940: LUCENE-9002: Query caching leads to absurdly slow queries
URL: https://github.com/apache/lucene-solr/pull/940#discussion_r334009994
 
 

 ##########
 File path: lucene/core/src/java/org/apache/lucene/search/LRUQueryCache.java
 ##########
 @@ -732,8 +741,39 @@ public ScorerSupplier scorerSupplier(LeafReaderContext context) throws IOExcepti
 
       if (docIdSet == null) {
         if (policy.shouldCache(in.getQuery())) {
-          docIdSet = cache(context);
-          putIfAbsent(in.getQuery(), docIdSet, cacheHelper);
+          final ScorerSupplier supplier = in.scorerSupplier(context);
+          if (supplier == null) {
+            putIfAbsent(in.getQuery(), DocIdSet.EMPTY, cacheHelper);
+            return null;
+          }
+
+          final long cost = supplier.cost();
+          return new ScorerSupplier() {
+            @Override
+            public Scorer get(long leadCost) throws IOException {
+              // skip cache operation which would slow query down too much
+              if ((cost > skipCacheCost || cost > leadCost * skipCacheFactor)
 
 Review comment:
   > control the time used for caching as the caching time is related to the cost of range query
   
   Understood, but if the query has a 250x higher cost already, then it's probably fine right?
   
   > skip caching too large range queries which will consume too much memory and evict cache entries frequently
   
   Maybe a more intuitive way to do that would be to call this parameter `maxRamBytesUsedPerEntry` and skip caching if `min(maxDoc/Byte.SIZE /* assuming bitset */, cost * Short.BYTES /* assuming short[] */) > maxRamBytesUsedPerEntry`?

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