hegemonic review

bigtable/metricscaler/metricscaler.py

@@ -27,8 +27,7 @@
 The minimum number of nodes to use. The default minimum is 3. If you have a
 lot of data, the rule of thumb is to not go below 2.5 TB per node for SSD
 clusters, and 8 TB for HDD. The bigtable.googleapis.com/disk/bytes_used
-metric is useful in figuring out the minimum number.
-of nodes.
+metric is useful in figuring out the minimum number of nodes.
 """
 
 _MAX_NODE_COUNT = 30
@@ -85,15 +84,15 @@ def scale_bigtable(bigtable_instance, bigtable_cluster, scale_up):
             new_node_count = min(current_node_count + 3, _MAX_NODE_COUNT)
             cluster.serve_nodes = new_node_count
             cluster.update()
-            print('Scaled up from {} up to {} nodes.'.format(
+            print('Scaled up from {} to {} nodes.'.format(
                 current_node_count, new_node_count))
     else:
         if current_node_count > _MIN_NODE_COUNT:
             new_node_count = max(
                 current_node_count - _SIZE_CHANGE_STEP, _MIN_NODE_COUNT)
             cluster.serve_nodes = new_node_count
             cluster.update()
-            print('Scaled down from {} up to {} nodes.'.format(
+            print('Scaled down from {} to {} nodes.'.format(
                 current_node_count, new_node_count))
     # [END bigtable_scale]