MongoDB: cursor.toArray() method

cursor.toArray

The cursor.toArray() method is used to return an array that contains all documents returned by the cursor.

Syntax:

cursor.toArray()

A collection prod_master contain the following documents.

{ "_id" : 5, "item" : { "name" : "mango", "type" : "cortland" }, "cost" : 1.29 }
{ "_id" : 9, "item" : { "name" : "mango", "type" : "fuji" }, "cost" : 1.99 }
{ "_id" : 7, "item" : { "name" : "apple", "type" : "honey crisp" }, "cost" : 1.99 }
{ "_id" : 10, "item" : { "name" : "mango", "type" : "jonagold" }, "cost" : 1.29 }
{ "_id" : 1, "item" : { "name" : "banana", "type" : "jonathan" }, "cost" : 1.29 }
{ "_id" : 6, "item" : { "name" : "apple", "type" : "mcintosh" }, "cost" : 1.29 }
{ "_id" : 8, "item" : { "name" : "orange", "type" : "cara cara" }, "cost" : 2.99 }
{ "_id" : 4, "item" : { "name" : "apple", "type" : "navel" }, "cost" : 1.39 }
{ "_id" : 3, "item" : { "name" : "orange", "type" : "satsuma" }, "cost" : 1.99 }
{ "_id" : 2, "item" : { "name" : "banana", "type" : "valencia" }, "cost" : 0.99 }

Example: MongoDB: cursor.toArray() method

The following example holds the array of documents returned by toArray().

db.prod_master.find().toArray();

Output:

> db.prod_master.find().toArray();
[
        {
                "_id" : 5,
                "item" : {
                        "name" : "mango",
                        "type" : "cortland"
                },
                "cost" : 1.29
        },
        {
                "_id" : 9,
                "item" : {
                        "name" : "mango",
                        "type" : "fuji"
                },
                "cost" : 1.99
        },
        {
                "_id" : 7,
                "item" : {
                        "name" : "apple",
                        "type" : "honey crisp"
                },
                "cost" : 1.99
        },
        {
                "_id" : 10,
                "item" : {
                        "name" : "mango",
                        "type" : "jonagold"
                },
                "cost" : 1.29
        },
        {
                "_id" : 1,
                "item" : {
                        "name" : "banana",
                        "type" : "jonathan"
                },
                "cost" : 1.29
        },
        {
                "_id" : 6,
                "item" : {
                        "name" : "apple",
                        "type" : "mcintosh"
                },
                "cost" : 1.29
        },
        {
                "_id" : 8,
                "item" : {
                        "name" : "orange",
                        "type" : "cara cara"
                },
                "cost" : 2.99
        },
        {
                "_id" : 4,
                "item" : {
                        "name" : "apple",
                        "type" : "navel"
                },
                "cost" : 1.39
        },
        {
                "_id" : 3,
                "item" : {
                        "name" : "orange",
                        "type" : "satsuma"
                },
                "cost" : 1.99
        },
        {
                "_id" : 2,
                "item" : {
                        "name" : "banana",
                        "type" : "valencia"
                },
                "cost" : 0.99
        }
]

Retrieve the restaurants data from here

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