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 1024 100 10000 avgt 8
318.541 ± 12.416 us/op
8 threads 1024 100 10000 avgt 8
418.963 ± 30.124 us/op
8 threads + sync 1024 100 10000 avgt 8
878.342 ± 92.320 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 10000 100 10000 avgt 8
3481.707 ± 37.420 us/op
8 threads 10000 100 10000 avgt 8
4652.641 ± 124.261 us/op
8 threads + sync 10000 100 10000 avgt 8
8283.897 ± 588.364 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
1 thread 100000 100 10000 avgt 8
62899.692 ± 11203.015 us/op
8 threads 100000 100 10000 avgt 8
66636.729 ± 6559.783 us/op
8 threads + sync 100000 100 10000 avgt 8
159911.761 ± 54040.121 us/op
```
The results obtained on my machine show that there are no contention between
threads during this operation (or it is not significant).
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