The dict_obj_tree table provides a tree-based view of table information from the dict_obj_info table. This is intended priarily for use in testing, but can be useful in visualizing hierachies of NDB database objects.
The dict_obj_tree table contains the following columns:
type
Type of DICT object; join on dict_obj_types to obtain the name of the object type
id
Object identifier; same as the id column in dict_obj_info
For Disk Data undo log files and data files, this is the same as the value shown in the LOGFILE_GROUP_NUMBER column of the INFORMATION_SCHEMA.FILES table; for undo log files, it also the same as the value shown for the log_id column in the ndbinfo logbuffers and logspaces tables
name
The fully qualified name of the object; the same as the fq_name column in dict_obj_info
For a table, this is  (the same as its database_name/def/table_nameparent_name); for an index of any type, this takes the form NDB$INDEX_index_id_CUSTOM
parent_type
The DICT object type of this object's parent object; join on dict_obj_types to obtain the name of the object type
parent_id
Identifier for this object's parent object; the same as the dict_obj_info table's id column
parent_name
Fully qualified name of this object's parent object; the same as the dict_obj_info table's fq_name column
For a table, this has the form . For an index, the name is database_name/def/table_namesys/def/. For a primary key, it is table_id/index_namesys/def/, and for a unique key it is table_id/PRIMARYsys/def/table_id/uk_name$unique
root_type
The DICT object type of the root object; join on dict_obj_types to obtain the name of the object type
root_id
Identifier for the root object; the same as the dict_obj_info table's id column
root_name
Fully qualified name of the root object; the same as the dict_obj_info table's fq_name column
level
Level of the object in the hierarchy
path
Complete path to the object in the NDB object hierarchy; objects are separated by a right arrow (represented as ->), starting with the root object on the left
indented_name
The name prefixed with a right arrow (represented as ->) with a number of spaces preceding it that correspond to the object's depth in the hierarchy
The path column is useful for obtaining a complete path to a given NDB database object in a single line, whereas the indented_name column can be used to obtain a tree-like layout of complete hierarchy information for a desired object.
Example: Assuming the existence of a test database and no existing table named t1 in this database, execute the following SQL statement:
CREATE TABLE test.t1 (
    a INT PRIMARY KEY,
    b INT,
    UNIQUE KEY(b)
)   ENGINE = NDB;
You can obtain the path to the table just created using the query shown here:
mysql>SELECT path FROM ndbinfo.dict_obj_tree->WHERE name LIKE 'test%t1';+-------------+ | path | +-------------+ | test/def/t1 | +-------------+ 1 row in set (0.14 sec)
You can see the paths to all dependent objects of this table using the path to the table as the root name in a query like this one:
mysql>SELECT path FROM ndbinfo.dict_obj_tree->WHERE root_name = 'test/def/t1';+----------------------------------------------------------+ | path | +----------------------------------------------------------+ | test/def/t1 | | test/def/t1 -> sys/def/13/b | | test/def/t1 -> sys/def/13/b -> NDB$INDEX_15_CUSTOM | | test/def/t1 -> sys/def/13/b$unique | | test/def/t1 -> sys/def/13/b$unique -> NDB$INDEX_16_UI | | test/def/t1 -> sys/def/13/PRIMARY | | test/def/t1 -> sys/def/13/PRIMARY -> NDB$INDEX_14_CUSTOM | +----------------------------------------------------------+ 7 rows in set (0.16 sec)
To obtain a hierarchical view of the t1 table with all its dependent objects, execute a query similar to this one which selects the indented name of each object having test/def/t1 as the name of its root object:
mysql>SELECT indented_name FROM ndbinfo.dict_obj_tree->WHERE root_name = 'test/def/t1';+----------------------------+ | indented_name | +----------------------------+ | test/def/t1 | | -> sys/def/13/b | | -> NDB$INDEX_15_CUSTOM | | -> sys/def/13/b$unique | | -> NDB$INDEX_16_UI | | -> sys/def/13/PRIMARY | | -> NDB$INDEX_14_CUSTOM | +----------------------------+ 7 rows in set (0.15 sec)
When working with Disk Data tables, note that, in this context, a tablespace or log file group is considered a root object. This means that you must know the name of any tablespace or log file group associated with a given table, or obtain this information from SHOW CREATE TABLE and then querying INFORMATION_SCHEMA.FILES, or similar means as shown here:
mysql>SHOW CREATE TABLE test.dt_1\G*************************** 1. row *************************** Table: dt_1 Create Table: CREATE TABLE `dt_1` ( `member_id` int unsigned NOT NULL AUTO_INCREMENT, `last_name` varchar(50) NOT NULL, `first_name` varchar(50) NOT NULL, `dob` date NOT NULL, `joined` date NOT NULL, PRIMARY KEY (`member_id`), KEY `last_name` (`last_name`,`first_name`) ) /*!50100 TABLESPACE `ts_1` STORAGE DISK */ ENGINE=ndbcluster DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci 1 row in set (0.00 sec) mysql>SELECT DISTINCT TABLESPACE_NAME, LOGFILE_GROUP_NAME->FROM INFORMATION_SCHEMA.FILES WHERE TABLESPACE_NAME='ts_1';+-----------------+--------------------+ | TABLESPACE_NAME | LOGFILE_GROUP_NAME | +-----------------+--------------------+ | ts_1 | lg_1 | +-----------------+--------------------+ 1 row in set (0.00 sec)
Now you can obtain hierarchical information for the table, tablespace, and log file group like this:
mysql>SELECT indented_name FROM ndbinfo.dict_obj_tree->WHERE root_name = 'test/def/dt_1';+----------------------------+ | indented_name | +----------------------------+ | test/def/dt_1 | | -> sys/def/23/last_name | | -> NDB$INDEX_25_CUSTOM | | -> sys/def/23/PRIMARY | | -> NDB$INDEX_24_CUSTOM | +----------------------------+ 5 rows in set (0.15 sec) mysql>SELECT indented_name FROM ndbinfo.dict_obj_tree->WHERE root_name = 'ts_1';+-----------------+ | indented_name | +-----------------+ | ts_1 | | -> data_1.dat | | -> data_2.dat | +-----------------+ 3 rows in set (0.17 sec) mysql>SELECT indented_name FROM ndbinfo.dict_obj_tree->WHERE root_name LIKE 'lg_1';+-----------------+ | indented_name | +-----------------+ | lg_1 | | -> undo_1.log | | -> undo_2.log | +-----------------+ 3 rows in set (0.16 sec)
The dict_obj_tree table was added in NDB 8.0.24.