MongoDB InsertNestedData

From mi-linux
Revision as of 20:14, 13 November 2017 by Cm1958 (talk | contribs) (→‎Exercise 3.1)
Jump to navigationJump to search

Main Page >> MongoDB >>MongoDB Workbook >> Insert Nested Data

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.

Remember this time, some employees will have a commission (COMM):

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