Difference between revisions of "MongoDB Update"
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This is equivalent to the SQL statement: | This is equivalent to the SQL statement: | ||
+ | <pre style="color:blue"> | ||
UPDATE emp SET job = 'ANALYST' | UPDATE emp SET job = 'ANALYST' | ||
WHERE empno = 7782; | WHERE empno = 7782; | ||
Line 67: | Line 68: | ||
− | + | The empty curly brackets this time means there is no equivalent of an SQL WHERE clause: | |
− | Check the collection - is this the case? | + | <pre style="color:blue"> |
+ | UPDATE emp SET sal = sal +100; | ||
+ | <pre> | ||
+ | |||
+ | So you might think this should update all the salaries in all the documents by £100. Check the collection - is this the case? | ||
db.emp.find().pretty() | db.emp.find().pretty() | ||
You should find only the first record has been updated. | You should find only the first record has been updated. | ||
+ | |||
+ | '$inc' can be used to decrease values too, so reduce the sal by £100: | ||
+ | |||
+ | db.emp.update({}, | ||
+ | {$inc: {sal: -100}}) | ||
+ | |||
+ | |||
+ | To update all the documents, ''updateMany()'' must be used instead: | ||
+ | |||
+ | db.emp.updateMany({}, | ||
+ | {$inc: {sal: 100}}) | ||
+ | |||
+ | |||
+ | Check the documents again and see if the salaries have now been increased by £100. | ||
== Exercise 2.2 == | == Exercise 2.2 == |
Revision as of 16:58, 12 November 2017
Main Page >> MongoDB >>MongoDB Workbook >> Updating Collections
Updating a Collection
The format of the update command is:
db.collectionName.update({'keyField': 'value' }, {$set: field: 'newValue' } )
The update() function can be used to update one or more documents. If the change should only apply to one document, the keyField needs to be a field with unique values, to ensure the correct document is updated.
This is similar in SQL to providng the WHERE clause of an UPDATE command.
Alternatively since version 3.2, MongoDB also supports the following functions:
db.collectionName.updateOne(); /* updates a single document that matches a specified filter (even if several documents match the filter) */
db.collectionName.updateMany(); /* updates all documents that matches a specified filter */
db.collectionName.replaceOne(); /* replaces the first document that matches a specified filter (even if several documents match the filter) */
Updating the dept collection
Update department 40 to change the location to Wolverhampton:
db.dept.update({'deptno':40}, {$set: {'loc': 'WOLVERHAMPTON'}})
Check the changes have been made:
db.dept.find({"deptno":40}).pretty()
Updating the emp collection
Carter has now become an analyst:
db.emp.update({'empno':7782}, {$set: {job: 'ANALYST'}})
This is equivalent to the SQL statement:
UPDATE emp SET job = 'ANALYST' WHERE empno = 7782;There are some limitations currently if you want to use a value in a field to update the value in another field, or even in the same field, such as increase existing salaries by 10%. There are some field update operators that can be used, such as $inc, which increments a field by a specified value. The $inc operator accepts positive and negative values. For example, observe what the following does: db.emp.update({}, {$inc: {sal: 100}}) The empty curly brackets this time means there is no equivalent of an SQL WHERE clause:UPDATE emp SET sal = sal +100;So you might think this should update all the salaries in all the documents by £100. Check the collection - is this the case? db.emp.find().pretty() You should find only the first record has been updated. '$inc' can be used to decrease values too, so reduce the sal by £100: db.emp.update({}, {$inc: {sal: -100}}) To update all the documents, updateMany() must be used instead: db.emp.updateMany({}, {$inc: {sal: 100}}) Check the documents again and see if the salaries have now been increased by £100.Exercise 2.2
* 2.2.1 Update the name of department 40 to: COMPUTING * 2.2.1 Update the salary of employee number 7788 in department 20 to 3500Next Step
Deleting a document, or collection.