filtering on fields was incorrect.  If watching objects with a filter, when an update was made that no longer matched the filter a DELETE event was correctly sent.  However, the object that was returned by that delete was not the (correct) version before the update, but instead, the newer version.  That meant the new object was not matched by the filter.  This was a regression from behavior between cached watches on the server side and uncached watches, and thus broke downstream API clients. ([#46223](ht...

// that all buckets are present on all serverPools.
func (z *erasureServerPools) ListBuckets(ctx context.Context, opts BucketOptions) (buckets []BucketInfo, err error) {
	if opts.Cached {
		listBucketsCache.InitOnce(time.Second,
			cachevalue.Opts{ReturnLastGood: true, NoWait: true},
			func(ctx context.Context) ([]BucketInfo, error) {
				ctx, cancel := context.WithTimeout(ctx, 5*time.Second)

		newCache.buildUserGroupMemberships()
	}

	cache := store.lock()
	defer store.unlock()

	// We should only update the in-memory cache if there were no changes
	// to the in-memory cache since the disk loading began. If there
	// were changes to the in-memory cache we should wait for the next
	// cycle until we can safely update the in-memory cache.
	//
	// An in-memory cache must be replaced only if we know for sure that the

  - Regenerate list of EC2 instances
  - Fix pricing endpoint in AWS China Region
  
  ### Azure
  - Add optional jitter on initial VMSS VM cache refresh, keep the refreshes spread over time
  - Serve from cache for the whole period of ongoing throttling
  - Fix unwanted VMSS VMs cache invalidations
  - Enforce setting the number of retries if cloud provider backoff is enabled
  - Don't update capacity if VMSS provisioning state is updating

        String[] fields = { "cache1", "cache2", "cache3" };
        queryFieldConfig.setCacheResponseFields(fields);

        String[] result = queryFieldConfig.getCacheResponseFields();
        assertSame(fields, result);
    }

    @Test
    public void test_setCacheResponseFields() {
        String[] fields = { "cache1", "cache2", "cache3" };
        queryFieldConfig.setCacheResponseFields(fields);

Shinsuke Sugaya <******@****.***> 1462510149 +0900

Shinsuke Sugaya <******@****.***> 1462510149 +0900

cpovirk <******@****.***> 1721404771 -0700

// dataUsageCacheV2 contains a cache of data usage entries version 2.
type dataUsageCacheV2 struct {
	Info  dataUsageCacheInfo
	Cache map[string]dataUsageEntryV2
}

// dataUsageCacheV3 contains a cache of data usage entries version 3.
type dataUsageCacheV3 struct {
	Info  dataUsageCacheInfo
	Cache map[string]dataUsageEntryV3
}

// dataUsageCacheV4 contains a cache of data usage entries version 4.

        DfsResolver dfs2 = context.getDfs();
        BufferCache cache1 = context.getBufferCache();
        BufferCache cache2 = context.getBufferCache();

        // Then - should be same instances
        assertSame(config1, config2, "Configuration should be consistent");
        assertSame(dfs1, dfs2, "DFS resolver should be consistent");
        assertSame(cache1, cache2, "Buffer cache should be consistent");
    }

    @Test