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If you need to rebuild indexes for a collection you can use the db.collection.reIndex() method to rebuild all indexes on a collection in a single operation. This operation drops all indexes, including the _id index, and then rebuilds all indexes.
Example:-
db.users.reIndex()
To remove an index, use the db.collection.dropIndex() method.
db.users.dropIndex( { "userid": 1 } ) //removes index from userid field
db.users.dropindexes() //removes all indexes from users collection except _id index
To modify the index, you must drop the index first and then recreate the index.
db.users.dropIndex( { "userid": 1 } ) //removes index from userid field
db.users.createIndex( { "userid": 1 }, { unique: true } ) //Unique Index on a Single Field
Indexes allow to process and fulfill queries quickly by creating small and efficient representations of the documents in a collection. By default, MongoDB creates an index on the _id field of every collection.
A value of 1 specifies an index that orders items in ascending order and -1 specifies an index that orders items in descending order
db.users.createIndex( { userid: 1 } ) //Create an Index on a Single Field
db.users.createIndex( { userid: 1, Email: 1 } ) //Build a Compound Index
db.users.createIndex( { Email: 1 }, { unique: true } ) //Unique Index on a Single Field
db.users.createIndex( { userid: 1, Email: 1 }, { unique: true } ) //Unique Index on a Compund Field
//Hashed indexes compute a hash of the value of a field in a collection and index the hashed value
db.users.createIndex( { _id: "hashed" } ) //Create a Hashed Index
//Background index construction allows read and write operations to continue while building the index.
db.users.createIndex( { Email: 1 }, { background: true } ) //Build Indexes in the Background
//The following operation, creates a sparse index on the users collection that only includes a document in the index if the Email field exists in a document.
//The index excludes all documents that do not include the Email field.
db.users.createIndex( { Email: 1 }, { sparse: true } ) //Create a Sparse Index
Example:-
Use a dotnetfundacounter collection to track the last number sequence used. The _id field contains the sequence name and the seq field contains the last value of the sequence.
Insert into the dotnetfundacounter collection, the initial value for the userid:
db.dotnetfundacounter.insert(
{
_id: "userid",
seq: 0
}
)
Create a getNextSequenceBydoc function that accepts a docname of the sequence. The function uses the findAndModify() method to atomically increment the seq value and return this new value
function getNextSequenceBydoc(docname) {
var ret = db.dotnetfundacounter.findAndModify(
{
query: { _id: docname },
update: { $inc: { seq: 1 } },
new: true,
upsert: true
}
);
return ret.seq;
}
Use this getNextSequenceBydoc() function during insert()
db.users.insert(
{
_id: getNextSequenceBydoc("userid"),
Name: "Himen Patel"
}
)
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