Difference between revisions of "MongoDB QueryData"
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db.deptCollection.find({"employees.empno":7902}).pretty() | db.deptCollection.find({"employees.empno":7902}).pretty() | ||
− | However, does mean you get back all the employees! | + | However, this does mean you get back all the employees in the department they were found in! |
Since version 2.2 MongoDB's new $elemMatch can avoid this: | Since version 2.2 MongoDB's new $elemMatch can avoid this: |
Revision as of 16:00, 20 October 2016
Main Page >> MongoDB >>MongoDB Workbook >> Querying Collections
Querying a collection
Show all data so far:
db.deptCollection.find()
The data comes back messy. The pretty() function can be used to improve the layout::
db.deptCollection.find().pretty()
The find() function can be used to find just one document.
The format is:
db.collectionName.find({"fieldName": "value"})
The fieldName must be in quotes, the value needs quotes if it is a string or date value.
For example, find department 10:
db.deptCollection.find({"deptno":10}).pretty()
Finding an employee means using the array name too:
db.deptCollection.find({"employees.empno":7902}).pretty()
However, this does mean you get back all the employees in the department they were found in!
Since version 2.2 MongoDB's new $elemMatch can avoid this:
db.deptCollection.find({"deptno":20}, { _id: 0, employees: {$elemMatch: {empno: 7902}}}).pretty()
$elemMatch limits the contents of the employees array to contain only the first element matching the $elemMatch condition.
_id is a unique value automatically generated by MongoDB (like a Primary Key). To see it:
db.deptCollection.find({"deptno":20}, { employees: {$elemMatch: {empno: 7902}}}).pretty()
This is akin to a SQL query:
SELECT * FROM Emp WHERE deptno=20 AND empno = 7902
However, could you just query using the empno?
Next Step
Updating the collection