ndbinfo: The NDB Cluster Information Database In NDB 8.0, all  ndbinfo  tables use the  NDB  storage engine; however, an  ndbinfo  entry still appears in the output of  SHOW ENGINES  and  SHOW PLUGINS  as described previously. You can execute  SELECT  statements against these tables, just as you would normally expect: More complex queries, such as the two following  SELECT  statements using the  memoryusage  table, are possible: mysql>  SELECT SUM(used) as ’Data Memory Used, All Nodes’ > FROM memoryusage > WHERE memory_type = ’Data memory’; 4523 6 rows in set (0.02 sec) mysql>  SELECT * FROM memoryusage; +---------+---------------------+--------+------------+------------+-------------+ | node_id | memory_type | used | used_pages | total | total_pages | +---------+---------------------+--------+------------+------------+-------------+ | 5 | Data memory | 753664 | 23 | 1073741824 | 32768 | | 5 | Index memory | 163840 | 20 | 1074003968 | 131104 | | 5 | Long message buffer | 2304 | 9 | 67108864 | 262144 | | 6 | Data memory | 753664 | 23 | 1073741824 | 32768 | | 6 | Index memory | 163840 | 20 | 1074003968 | 131104 | | 6 | Long message buffer | 2304 | 9 | 67108864 | 262144 | +---------+---------------------+--------+------------+------------+-------------+ | cluster_transactions | | config_nodes | | config_params | | config_values | | counters | | cpustat | | cpustat_1sec | | cpustat_20sec | | cpustat_50ms | | dict_obj_info | | dict_obj_types | | disk_write_speed_aggregate | | disk_write_speed_aggregate_node | | disk_write_speed_base | | diskpagebuffer | | error_messages | | locks_per_fragment | | logbuffers | | logspaces | | membership | | memory_per_fragment | | memoryusage | | nodes | | operations_per_fragment | | processes | | resources | | restart_info | | server_locks | | server_operations | | server_transactions | | table_distribution_status | | table_fragments | | table_info | | table_replicas | | tc_time_track_stats | | threadblocks | | threads | | threadstat | | transporters | +---------------------------------+ 44 rows in set (0.00 sec)