Overview of NESTED TABLES
The NESTED TABLES clause specifies the participating tables and separates them into
            3 groups. First, the target table  from where the data is fetched is specified. Then the
            ANCESTORS clause, if present, specifies the number of tables that must be ancestors of
            the target table in the table hierarchy. Finally, the DESCENDANTS clause, if present,
            specifies the number of tables that must be descendants of the target table in the table
            hierarchy. 
                  
                     
               
               Note:
Semantically, a NESTED TABLES clause is equivalent to a number of left-outer-join operations "centered" around the target table.Characteristics of NESTED tables:
                  
                     
                        
                           
                  
                  
               
               - Queries multiple tables in the same hierarchy
- It is not an ANSI-SQL Standard
- It supports sibling tables join
Table 4-1 Nested Tables Vs LOJ
| Nested Tables | LOJ | 
|---|---|
| Queries multiple tables in the same hierarchy | Queries multiple tables in the same hierarchy | 
| Not an ANSI-SQL Standard | ANSI-SQL Standard | 
| Supports sibling tables join | Does not support sibling table joins | 
If you want to follow along with the examples, download the script parentchildtbls_loaddata.sql and run it as shown below. This script creates the table used in the example and loads data into the table.
Start your KVSTORE or KVLite and open the
                SQL.shell.
                  
                   java -jar lib/kvstore.jar kvlite -secure-config disable
 java -jar lib/sql.jar -helper-hosts localhost:5000 -store kvstoreThe 
                  
                  parentchildtbls_loaddata.sql contains the
                following:### Begin Script ###
load -file parentchild.ddl
import -table ticket  -file ticket.json
import -table ticket.bagInfo  -file bagInfo.json
import -table ticket.passengerInfo  -file passengerInfo.json
import -table ticket.bagInfo.flightLegs  -file flightLegs.json
### End Script ###Using the 
                  
               load command, run the
                script.load -file parentchildtbls_loaddata.sql