MongoDB InsertNestedData

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Inserting Nested data

For this exercise we are going to nest the Employee details within the Department, rather than having two separate collections as seen in the previous section.

The format for the INSERT command is still the same, but this time one of our key values will be an array to hold the employee details:

 db.collectionName.insert( 
  {
    key_1: 'value1',
    key_n: valueN,
    keyArrayName: [
      {
          nestedKey_1: 'value1',
          nestedKey_n: valueN
      }
    ] 
  }
 )

Note:

• character and date values must be enclosed in matching single (') or double quotes (").
• numeric values do not need quotes.
• key/value pairs are comma-separated and the value can be a nested document or array.
• each record is enclosed in curly brackets: {}
• the array that contains the nested information will be in square brackets: []
• if you are getting error messages when creating a collection check that you have the right sort of brackets in the correct place!

Department 10

The following examples will represent the DEPT/EMP tables seen in the Oracle Sample Data.

Add department 10 and it's employees:

db.deptCollection.insert( 
 {
    deptno: 10, 
    dname: 'ACCOUNTING',
    loc: 'NEW YORK',
    employees: [
     {
        empno: 7782,
        ename: 'CLARK',	
        job: 'MANAGER',
        mgr: 7839, 	
        hiredate: new Date('1989-06-09'),
        sal: 2450
     },
     {
        empno:7839,
        ename: 'KING',
        job: 'PRESIDENT',
        hiredate: new Date('1980-11-17'),
        sal: 5000
      },
      {
        empno: 7934,
        ename: 'MILLER',
        job: 'CLERK',
        mgr: 7782,
        hiredate: new Date('1985-01-23'),
        sal: 1300
      }
    ]
   } 
 )

Assuming you have no error messages, the system should respond with:

 WriteResult({ "nInserted" : 1 })

Department 20

Next add department 20:

db.deptCollection.insert( 
 {
  deptno: 20,
  dname: 'RESEARCH',
  loc: 'DALLAS',
  employees: [
   {
      empno: 7876,
      ename: 'ADAMS',
      job: 'CLERK',
      mgr: 7788,
      hiredate: new Date(),
      sal: 1100
   },
   {
      empno: 7902,
      ename: 'FORD',
      job: 'ANALYST',
      mgr: 7566,
      hiredate: new Date('1991-12-03'),
      sal: 3000
   },
   {
      empno: 7066,
      ename: 'JONES',
      job: 'MANAGER',
      mgr: 7839,
      hiredate: new Date('1991-04-02'),
      sal: 2975
   },
   {
      empno: 7788,
      ename: 'SCOTT',
      job: 'ANALYST',
      mgr: 7566,
      hiredate: new Date('2015-10-16'),
      sal: 3000
   }    
  ]
 }
)

Department 40

Next department 40, which has no employees currently:

db.deptCollection.insert( 
 {
   deptno: 40,
   dname: 'OPERATIONS',
   loc: 'BOSTON'
 }
)

Check the Collection

Now check if you have any collections:

show collections

Things to note

If you are getting errors, check carefully that:

• every opening bracket has an appropriate closing bracket:
  • the insert statement uses round brackets: ()
  • an array uses square brackets: []
  • a collection uses curly brackets: {}
    • each element in a nested collection will also use curly brackets
• each key:value pair are separated by commas, except for the last item
• strings are enclosed in single or double quotes, e.g., 'myString', or "myString"
• date strings are enclosed in single/double quotes and the format is 'yyyy-mm-dd' e.g., Date('2016-10-10')
• use the Date() constructor to create a date datatype
• date can also be a datetime, e.g., new Date("<yyyy-mm-ddThh:mm:ss>")
• new Date() will return the current date

Exercise 3.1

• Compare how you added the above data and how it differs from INSERT records in a relational database
• Add Department 30 and its employees.

The department document has the following key/values: deptno: 30, dname: SALES and loc: CHICAGO

The employee details are as follows:

EMPNO	ENAME	JOB	MGR	HIREDATE	SAL	COMM	DEPTNO
7499	ALLEN	SALESMAN	7698	20-FEB-95	1600	300	30
7698	BLAKE	MANAGER	7839	01-MAY-81	2850		30
7900	JAMES	CLERK	7698	03-DEC-81	950		30
7654	MARTIN	SALESMAN	7698	28-SEP-93	1250	1400	30
7844	TURNER	SALESMAN	7698	08-SEP-81	1500	0	30
7521	WARD	SALESMAN	7698	22-FEB-94	1250	500	30

Next Step

Querying nested data in the collection