diff --git a/pkg/kv/kvserver/store_rebalancer_test.go b/pkg/kv/kvserver/store_rebalancer_test.go
index b4b6a4594890..66089fabf487 100644
--- a/pkg/kv/kvserver/store_rebalancer_test.go
+++ b/pkg/kv/kvserver/store_rebalancer_test.go
@@ -436,8 +436,8 @@ type testRange struct {
 	qps               float64
 }
 
-func loadRanges(rr *ReplicaRankings, s *Store, ranges []testRange) {
-	acc := NewReplicaAccumulator(load.Queries)
+func loadRanges(rr *ReplicaRankings, s *Store, ranges []testRange, loadDimension load.Dimension) {
+	acc := NewReplicaAccumulator(loadDimension)
 	for i, r := range ranges {
 		rangeID := roachpb.RangeID(i + 1)
 		repl := &Replica{store: s, RangeID: rangeID}
@@ -660,7 +660,7 @@ func TestChooseLeaseToTransfer(t *testing.T) {
 
 	for _, tc := range testCases {
 		t.Run("", func(t *testing.T) {
-			loadRanges(rr, s, []testRange{{voters: tc.storeIDs, qps: tc.qps}})
+			loadRanges(rr, s, []testRange{{voters: tc.storeIDs, qps: tc.qps}}, load.Queries)
 			hottestRanges := sr.replicaRankings.TopLoad()
 			options := sr.scorerOptions(ctx)
 			rctx := sr.NewRebalanceContext(ctx, options, hottestRanges, LBRebalancingMode(LoadBasedRebalancingMode.Get(&sr.st.SV)))
@@ -792,7 +792,7 @@ func TestChooseRangeToRebalanceRandom(t *testing.T) {
 			loadRanges(
 				rr, s, []testRange{
 					{voters: voterStores, nonVoters: nonVoterStores, qps: perReplicaQPS},
-				},
+				}, load.Queries,
 			)
 
 			hottestRanges := sr.replicaRankings.TopLoad()
@@ -1128,7 +1128,7 @@ func TestChooseRangeToRebalanceAcrossHeterogeneousZones(t *testing.T) {
 			loadRanges(
 				rr, s, []testRange{
 					{voters: tc.voters, nonVoters: tc.nonVoters, qps: testingQPS},
-				},
+				}, load.Queries,
 			)
 
 			hottestRanges := sr.replicaRankings.TopLoad()
@@ -1208,7 +1208,7 @@ func TestChooseRangeToRebalanceIgnoresRangeOnBestStores(t *testing.T) {
 	// Load a fake hot range that's already on the best stores. We want to ensure
 	// that the store rebalancer doesn't attempt to rebalance ranges that it
 	// cannot find better rebalance opportunities for.
-	loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{localDesc.StoreID}, qps: 100}})
+	loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{localDesc.StoreID}, qps: 100}}, load.Queries)
 
 	hottestRanges := sr.replicaRankings.TopLoad()
 	options := sr.scorerOptions(ctx)
@@ -1361,7 +1361,7 @@ func TestChooseRangeToRebalanceOffHotNodes(t *testing.T) {
 			}
 
 			s.cfg.DefaultSpanConfig.NumReplicas = int32(len(tc.voters))
-			loadRanges(rr, s, []testRange{{voters: tc.voters, qps: tc.QPS}})
+			loadRanges(rr, s, []testRange{{voters: tc.voters, qps: tc.QPS}}, load.Queries)
 
 			hottestRanges := sr.replicaRankings.TopLoad()
 			options := sr.scorerOptions(ctx)
@@ -1452,7 +1452,7 @@ func TestNoLeaseTransferToBehindReplicas(t *testing.T) {
 
 	// Load in a range with replicas on an overfull node, a slightly underfull
 	// node, and a very underfull node.
-	loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{1, 4, 5}, qps: 100}})
+	loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{1, 4, 5}, qps: 100}}, load.Queries)
 
 	hottestRanges := sr.replicaRankings.TopLoad()
 	options := sr.scorerOptions(ctx)
@@ -1472,7 +1472,7 @@ func TestNoLeaseTransferToBehindReplicas(t *testing.T) {
 	// Then do the same, but for replica rebalancing. Make s5 an existing replica
 	// that's behind, and see how a new replica is preferred as the leaseholder
 	// over it.
-	loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{1, 3, 5}, qps: 100}})
+	loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{1, 3, 5}, qps: 100}}, load.Queries)
 
 	hottestRanges = sr.replicaRankings.TopLoad()
 	options = sr.scorerOptions(ctx)
@@ -1641,7 +1641,7 @@ func TestStoreRebalancerReadAmpCheck(t *testing.T) {
 
 			// Load in a range with replicas on an overfull node, a slightly underfull
 			// node, and a very underfull node.
-			loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{1, 3, 5}, qps: 100}})
+			loadRanges(rr, s, []testRange{{voters: []roachpb.StoreID{1, 3, 5}, qps: 100}}, load.Queries)
 
 			hottestRanges := sr.replicaRankings.TopLoad()
 			options := sr.scorerOptions(ctx)