MongoDB: db.collection.validate() method
db.collection.validate
The db.collection.validate() method is used to validate a collection. The method scans a collections data structures for correctness and returns a single document that describes the relationship between the logical collection and the physical representation of the data.
Syntax:
db.collection.validate(full)
Parameter:
| Name | Description | Required / Optional |
Type |
|---|---|---|---|
| full | Specify true to enable a full validation and to return full statistics. MongoDB disables full validation by default because it is a potentially resource-intensive operation. | Optional | boolean |
Sample document in the restaurants collection:
{
"address": {
"building": "1007",
"coord": [ -73.856077, 40.848447 ],
"street": "Morris Park Ave",
"zipcode": "10462"
},
"borough": "Bronx",
"cuisine": "Bakery",
"grades": [
{ "date": { "$date": 1393804800000 }, "grade": "A", "score": 2 },
{ "date": { "$date": 1378857600000 }, "grade": "A", "score": 6 },
{ "date": { "$date": 1358985600000 }, "grade": "A", "score": 10 },
{ "date": { "$date": 1322006400000 }, "grade": "A", "score": 9 },
{ "date": { "$date": 1299715200000 }, "grade": "B", "score": 14 }
],
"name": "Morris Park Bake Shop",
"restaurant_id": "30075445"
}
.....
Example: MongoDB: db.collection.validate() method
The following statement scans the data structures of collection restaurants for correctness and returns the single document.
db.restaurants.validate();
Output:
> db.restaurants.validate();
{
"ns" : "test.restaurants",
"firstExtent" : "0:28000 ns:test.restaurants",
"lastExtent" : "0:b72000 ns:test.restaurants",
"extentCount" : 7,
"datasize" : 14721552,
"nrecords" : 25359,
"lastExtentSize" : 11325440,
"padding" : 1,
"firstExtentDetails" : {
"loc" : "0:28000",
"xnext" : "0:4a000",
"xprev" : "null",
"nsdiag" : "test.restaurants",
"size" : 8192,
"firstRecord" : "0:280b0",
"lastRecord" : "0:29eb0"
},
"lastExtentDetails" : {
"loc" : "0:b72000",
"xnext" : "null",
"xprev" : "0:372000",
"nsdiag" : "test.restaurants",
"size" : 11325440,
"firstRecord" : "0:b720b0",
"lastRecord" : "0:f358b0"
},
"deletedCount" : 7,
"deletedSize" : 7378992,
"nIndexes" : 1,
"keysPerIndex" : {
"test.restaurants.$_id_" : 25359
},
"valid" : true,
"errors" : [ ],
"warning" : "Some checks omitted for speed. use {full:true} option to do more thorough scan.",
"ok" : 1
}
Retrieve the restaurants data from here
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