xtern commented on code in PR #2982:
URL: https://github.com/apache/ignite-3/pull/2982#discussion_r1440380010


##########
modules/sql-engine/src/main/java/org/apache/ignite/internal/sql/engine/exec/mapping/MappingServiceImpl.java:
##########
@@ -96,12 +108,54 @@ public CompletableFuture<List<MappedFragment>> 
map(MultiStepPlan multiStepPlan)
         return initialTopologyFuture.thenComposeAsync(ignore -> 
map0(multiStepPlan), taskExecutor);
     }
 
+    /** Called when the primary replica has expired. */
+    public CompletableFuture<Boolean> 
onPrimaryReplicaExpired(PrimaryReplicaEventParameters parameters) {
+        assert parameters != null;
+        assert parameters.groupId() instanceof TablePartitionId;
+
+        int tabId = ((TablePartitionId) parameters.groupId()).tableId();
+
+        return CompletableFuture.supplyAsync(() -> {
+            mappingsCache.values().removeIf(value -> 
value.tableIds.contains(tabId));
+
+            return false;
+        }, ForkJoinPool.commonPool());

Review Comment:
   Benchmark scenario:
   * create cache + fill cache
   * measure the time of **10** calls `mappingsCache.values().removeIf(value -> 
value.tableIds.contains(RANDOM_TABLE_ID));`
   
   Measuring time for single thread and for multiple threads.
   `8 threads + sync` means that the `mappingsCache.values().removeIf(value -> 
value.tableIds.contains(RANDOM_TABLE_ID));` is enclosed in a synchronized block 
(to reduce possible contention when scanning).
   
   `tablesInPlan` - size of set `tableIds`.
   `totalTables` - total number of table IDs (the lower this number, the more 
cache elements will be deleted in one scan)
   
   ```
   Benchmark     (cacheSize)  (tablesInPlan)  (totalTables)  Mode  Cnt       
Score       Error  Units
   1 thread             1024              10          10000  avgt    8     
298.156 ±    16.015  us/op
   8 threads            1024              10          10000  avgt    8     
401.057 ±    14.550  us/op
   8 threads + sync     1024              10          10000  avgt    8    
1577.090 ±    77.315  us/op
   
   1 thread            10000              10          10000  avgt    8    
2974.037 ±   115.337  us/op
   8 threads           10000              10          10000  avgt    8    
4595.802 ±   282.642  us/op
   8 threads + sync    10000              10          10000  avgt    8   
15558.993 ±  1107.365  us/op
   
   1 thread           100000              10          10000  avgt    8   
37814.228 ±  3901.386  us/op
   8 threads          100000              10          10000  avgt    8   
56042.789 ±  2641.133  us/op
   8 threads + sync   100000              10          10000  avgt    8  
170200.745 ± 50732.738  us/op
   ```
   
   
   The results obtained on my machine show that there is no contention between 
threads during this operation (or it is not significant).
   
   benchmark code: 
https://gist.github.com/xtern/2efa0cc2c1dc6b5f87d44e4394735f3e



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