Difference between revisions of "MongoDB QueryData"
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db.dept.find({_id:10}) | db.dept.find({_id:10}) | ||
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+ | In the ''emp'' collection, the _ids are system generated and generally along the lines of: 5a0727e99ba81dee9b1cc6a3 so less easy to use! | ||
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+ | List all the records in emp: | ||
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+ | db.emp.find().pretty() | ||
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+ | and pick one an _id from the collection and then try and find one record. For example (note, your object id will be different): | ||
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+ | db.emp.find( {_id : ObjectId("5a0727e99ba81dee9b1cc6a3")}).pretty() | ||
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+ | The function ''ObjectId'' must be used to convert the value into an object id. | ||
== Next Step == | == Next Step == | ||
[[MongoDB_Aggregate_Pipeline|MongoDB Aggregation]] Pipeline | [[MongoDB_Aggregate_Pipeline|MongoDB Aggregation]] Pipeline |
Revision as of 17:10, 11 November 2017
Main Page >> MongoDB >>MongoDB Workbook >> Querying Collections
Querying a collection
The find() function can be used to query the documents.
The format is:
db.collectionName.find(optional_query_criteria)
Where the query_criteria follows a pattern:
db.collectionName.find({keyField: "value"})
Note:
- the criteria is enclosed in curly brackets: {}
- the value needs quotes if it is a string or date value
- all names and values are case sensitive
- quotes are optional for the fieldName, so long as they do not contain spaces
Find all documents
For example, show all the data so far in the dept collection:
db.dept.find()
And the emp collection:
db.emp.find()
The data comes back messy. The pretty() function can be used to improve the layout:
db.emp.find().pretty()
Note the difference in the object ids returned.
Find with query criteria
If working with a large collection, you will not want all the documents returned.
Find all the employees in department 10:
db.emp.find({deptno:10})
Find One document
To find just one document requires the use of the equivalent of a primary key field. This can be a field that the user takes responsibility to keep unique, such as the deptno:
db.dept.find({deptno:10})
Or the object id can be used, which will be unique:
db.dept.find({_id:10})
In the emp collection, the _ids are system generated and generally along the lines of: 5a0727e99ba81dee9b1cc6a3 so less easy to use!
List all the records in emp:
db.emp.find().pretty()
and pick one an _id from the collection and then try and find one record. For example (note, your object id will be different):
db.emp.find( {_id : ObjectId("5a0727e99ba81dee9b1cc6a3")}).pretty()
The function ObjectId must be used to convert the value into an object id.
Next Step
MongoDB Aggregation Pipeline