Class VectorQuerySnapshot (7.6.0)

A VectorQuerySnapshot contains zero or more QueryDocumentSnapshot objects representing the results of a query. The documents can be accessed as an array via the docs property or enumerated using the forEach method. The number of documents can be determined via the empty and size properties.

Package

@google-cloud/firestore

Remarks

The constructor for this class is marked as internal. Third-party code should not call the constructor directly or create subclasses that extend the VectorQuerySnapshot class.

Properties

docs

  get 
  
 docs 
 () 
 : 
  
 Array<QueryDocumentSnapshot<AppModelType 
 , 
  
 DbModelType 
>> ; 
 

An array of all the documents in this VectorQuerySnapshot .

Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ) 
  
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }); 
 query 
 . 
 get 
 (). 
 then 
 ( 
 querySnapshot 
  
 = 
>  
 { 
  
 let 
  
 docs 
  
 = 
  
 querySnapshot 
 . 
 docs 
 ; 
  
 for 
  
 ( 
 let 
  
 doc 
  
 of 
  
 docs 
 ) 
  
 { 
  
 console 
 . 
 log 
 ( 
 `Document found at path: 
 ${ 
 doc 
 . 
 ref 
 . 
 path 
 } 
 ` 
 ); 
  
 } 
 }); 
 

empty

  get 
  
 empty 
 () 
 : 
  
 boolean 
 ; 
 

true if there are no documents in the VectorQuerySnapshot .

Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ) 
  
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }); 
 query 
 . 
 get 
 (). 
 then 
 ( 
 querySnapshot 
  
 = 
>  
 { 
  
 if 
  
 ( 
 querySnapshot 
 . 
 empty 
 ) 
  
 { 
  
 console 
 . 
 log 
 ( 
 'No documents found.' 
 ); 
  
 } 
 }); 
 

query

  get 
  
 query 
 () 
 : 
  
 VectorQuery<AppModelType 
 , 
  
 DbModelType 
> ; 
 

The VectorQuery on which you called get() in order to get this VectorQuerySnapshot .

Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ). 
 where 
 ( 
 'foo' 
 , 
  
 '==' 
 , 
  
 'bar' 
 ); 
 query 
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }) 
  
 . 
 get 
 (). 
 then 
 ( 
 querySnapshot 
  
 = 
>  
 { 
  
 console 
 . 
 log 
 ( 
 `Returned first batch of results` 
 ); 
  
 let 
  
 query 
  
 = 
  
 querySnapshot 
 . 
 query 
 ; 
  
 return 
  
 query 
 . 
 offset 
 ( 
 10 
 ). 
 get 
 (); 
  
 }). 
 then 
 (() 
  
 = 
>  
 { 
  
 console 
 . 
 log 
 ( 
 `Returned second batch of results` 
 ); 
  
 }); 
 

readTime

  get 
  
 readTime 
 () 
 : 
  
 Timestamp 
 ; 
 

The time this VectorQuerySnapshot was obtained.

Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ) 
  
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }); 
 query 
 . 
 get 
 (). 
 then 
 (( 
 querySnapshot 
 ) 
  
 = 
>  
 { 
  
 let 
  
 readTime 
  
 = 
  
 querySnapshot 
 . 
 readTime 
 ; 
  
 console 
 . 
 log 
 ( 
 `Query results returned at ' 
 ${ 
 readTime 
 . 
 toDate 
 () 
 } 
 '` 
 ); 
 }); 
 

size

  get 
  
 size 
 () 
 : 
  
 number 
 ; 
 

The number of documents in the VectorQuerySnapshot .

Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ) 
  
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }); 
 query 
 . 
 get 
 (). 
 then 
 ( 
 querySnapshot 
  
 = 
>  
 { 
  
 console 
 . 
 log 
 ( 
 `Found 
 ${ 
 querySnapshot 
 . 
 size 
 } 
 documents.` 
 ); 
 }); 
 

Methods

docChanges()

  docChanges 
 () 
 : 
  
 Array<DocumentChange<AppModelType 
 , 
  
 DbModelType 
>> ; 
 

Returns an array of the documents changes since the last snapshot. If this is the first snapshot, all documents will be in the list as added changes.

Returns
Type
Description
Array < DocumentChange <AppModelType, DbModelType>>

An array of the documents changes since the last snapshot.

Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ) 
  
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }); 
 query 
 . 
 get 
 (). 
 then 
 ( 
 querySnapshot 
  
 = 
>  
 { 
  
 let 
  
 changes 
  
 = 
  
 querySnapshot 
 . 
 docChanges 
 (); 
  
 for 
  
 ( 
 let 
  
 change 
  
 of 
  
 changes 
 ) 
  
 { 
  
 console 
 . 
 log 
 ( 
 `A document was 
 ${ 
 change 
 . 
 type 
 } 
 .` 
 ); 
  
 } 
 }); 
 

forEach(callback, thisArg)

  forEach 
 ( 
 callback 
 : 
  
 ( 
 result 
 : 
  
 firestore 
 . 
 QueryDocumentSnapshot<AppModelType 
 , 
  
 DbModelType 
> ) 
  
 = 
>  
 void 
 , 
  
 thisArg 
 ?: 
  
 unknown 
 ) 
 : 
  
 void 
 ; 
 

Enumerates all of the documents in the VectorQuerySnapshot . This is a convenience method for running the same callback on each QueryDocumentSnapshot that is returned.

Parameters
Name
Description
callback
(result: FirebaseFirestore.QueryDocumentSnapshot <AppModelType, DbModelType>) => void

A callback to be called with a QueryDocumentSnapshot for each document in the snapshot.

thisArg
unknown

The this binding for the callback..

Returns
Type
Description
void
Example
  let 
  
 query 
  
 = 
  
 firestore 
 . 
 collection 
 ( 
 'col' 
 ) 
  
 . 
 findNearest 
 ( 
 "embedding" 
 , 
  
 [ 
 0 
 , 
  
 0 
 ], 
  
 { 
 limit 
 : 
  
 10 
 , 
  
 distanceMeasure 
 : 
  
 "EUCLIDEAN" 
 }); 
 query 
 . 
 get 
 (). 
 then 
 ( 
 querySnapshot 
  
 = 
>  
 { 
  
 querySnapshot 
 . 
 forEach 
 ( 
 documentSnapshot 
  
 = 
>  
 { 
  
 console 
 . 
 log 
 ( 
 `Document found at path: 
 ${ 
 documentSnapshot 
 . 
 ref 
 . 
 path 
 } 
 ` 
 ); 
  
 }); 
 }); 
 

isEqual(other)

  isEqual 
 ( 
 other 
 : 
  
 firestore 
 . 
 VectorQuerySnapshot<AppModelType 
 , 
  
 DbModelType 
> ) 
 : 
  
 boolean 
 ; 
 

Returns true if the document data in this VectorQuerySnapshot is equal to the provided value.

Parameter
Name
Description
other
FirebaseFirestore.VectorQuerySnapshot <AppModelType, DbModelType>

The value to compare against.

Returns
Type
Description
boolean

true if this VectorQuerySnapshot is equal to the provided value.

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