validateDBMetadata
Definition
New in version 5.0.
validateDBMetadata
The
validateDBMetadata
command checks that the stored metadata of a database or a collection is valid within a particular API version.validateDBMetadata
reports errors, but does not have the capability to fix errors.
Syntax
The command has the following syntax:
db.runCommand( { validateDBMetadata: 1, apiParameters: { version: <string>, strict: <boolean>, deprecationErrors: <boolean> }, db: <string>, collection: <string>, } )
Command Fields
The command takes the following fields:
Field | Type | Description |
---|---|---|
document | All Fields are Required.
| |
db | string | Optional. The name of the database to validate. If no database
is specified, all databases will be validated. |
collection | string | Optional. The name of the collection or view to validate. If no
collection or view is specified, all collections in the database
specified by db will be validated. If no database is
specified, all collections in all databases will be validated. |
Behavior
Validate all collections in all databases, reporting APIStrictError and APIVersionError error responses.
db.runCommand( { validateDBMetadata: 1, apiParameters: { version: "1", strict: true, deprecationErrors: true }, }) Validate all collections in
inventory
:db.runCommand( { validateDBMetadata: 1, apiParameters: { version: "1", strict: true, deprecationErrors: true }, db: "inventory", }) Validate the
sales
collection in theinventory
database:db.runCommand( { validateDBMetadata: 1, apiParameters: { version: "1", strict: true, deprecationErrors: true }, db: "inventory", collection: "sales", }) Validate any and all
sales
collections across all databases:db.runCommand( { validateDBMetadata: 1, apiParameters: { version: "1", strict: true, deprecationErrors: true }, collection: "sales", })
Note
Your user must have the validate
privilege action on
all collections you want to validate.
Output
{ apiVersionErrors: [ { ns: <string>, code: <int>, codeName: <string>, errmsg: <string> } ], ok: <int>, hasMoreErrors: <boolean>, }
validateDBMetadata.ok
If the command fails,
ok
is set to1
. Otherwise,ok
is set to0
.validateDBMetadata.ok
may have a value of0
and still report validation errors.
Example
Use the sample Query API code to create a sales
collection in mongosh
:
db.sales.insertMany([ { "_id" : 1, "item" : "shoes", "price" : 10, "quantity" : 2, "date" : ISODate("2021-01-01T08:00:00Z") }, { "_id" : 2, "item" : "hat", "price" : 20, "quantity" : 1, "date" : ISODate("2021-02-03T09:00:00Z") }, { "_id" : 3, "item" : "gloves", "price" : 5, "quantity" : 5, "date" : ISODate("2021-02-03T09:05:00Z") }, { "_id" : 4, "item" : "pants", "price" : 10, "quantity" : 10, "date" : ISODate("2021-02-15T08:00:00Z") }, { "_id" : 5, "item" : "socks", "price" : 5, "quantity" : 10, "date" : ISODate("2021-02-15T09:05:00Z") }, { "_id" : 6, "item" : "shirt", "price" : 5, "quantity" : 5, "date" : ISODate("2021-02-15T12:05:10Z") }, { "_id" : 7, "item" : "belt", "price" : 5, "quantity" : 10, "date" : ISODate("2021-02-15T14:12:12Z") }, { "_id" : 8, "item" : "blouse", "price" : 10, "quantity" : 5, "date" : ISODate("2021-03-16T20:20:13Z") } ])
Add a text index on the item
field.
db.sales.createIndex( { item: "text" } )
Validate the sales
collection for strict compliance with API
version 1 and include deprecationErrors
in the output.
db.runCommand( { validateDBMetadata: 1, apiParameters: { version: "1", strict: true, deprecationErrors: true }, collection: "sales", })
validateDBMetadata
reports an APIStrictError
on the
item_text
index.
{ apiVersionErrors: [ { ns: 'test.sales', code: 323, codeName: 'APIStrictError', errmsg: 'The index with name item_text is not allowed in API version 1.' } ], ok: 1, hasMoreErrors: false, }