Get Object Count¶
The Object Count API provides a way to obtain the following values from the server:
- Number of objects in a table
- Number of objects matching query
- Number of related objects
Method¶
Future<int> Backendless.data.of("TABLE-NAME").getObjectCount([DataQueryBuilder queryBuilder]);
Future<int> Backendless.data.withClass<E>().getObjectCount([DataQueryBuilder queryBuilder]);
where:
Argument | Description |
---|---|
TABLE-NAME |
Name of the table where to calculate the object count. |
E |
Java class of the data object which identifies the table where to calculate the object count. |
queryBuilder |
Instance of com.backendless.persistence.DataQueryBuilder. When present in the arguments, the object must contain a whereClause query. The query is used by the server to identify a collection of objects. |
Return Value¶
The integer value which is the object count.
Example¶
Total object count for a table¶
The following sample request retrieves total number of objects in table Order
:
Backendless.data.of("Order").getObjectCount().then((count) {
print("Total objects in the Order table - $count");
});
import 'package:backendless_sdk/backendless_sdk.dart';
@reflector
class Order {
String objectId;
int orderAmount;
}
Backendless.data.withClass<Order>().getObjectCount().then((count) {
print("Total objects in the Order table - $count");
});
Object count for a query¶
The following sample request retrieves total number of objects in table Order
which satisfy the condition of orderAmount > 100
:
DataQueryBuilder queryBuilder = DataQueryBuilder()
..whereClause = "orderAmount > 100";
Backendless.data.of("Order").getObjectCount(queryBuilder).then((count) {
print("Found objects - $count");
});
DataQueryBuilder queryBuilder = DataQueryBuilder()
..whereClause = "orderAmount > 100";
Backendless.data.withClass<Order>().getObjectCount(queryBuilder).then((count) {
print("Total objects in the Order table - $count");
});
Related object count¶
The following sample request retrieves total number of related "child" objects for a parent object. The parent table is Person
. It contains a relation column called address
pointing to the Address
table. The query below retrieves a count of related child objects for a parent object with objectID
of XXXX-XXXX-XXXX-XXXX
. The whereClause query syntax for this scenario is:Person[address].objectId = 'XXXX-XXXX-XXXX-XXXX'
DataQueryBuilder queryBuilder = DataQueryBuilder()
..whereClause = "Person[address].objectId = 'XXXX-XXXX-XXXX-XXXX'";
Backendless.data.of("Address").getObjectCount(queryBuilder).then((count) {
print("Found objects - $count");
});
DataQueryBuilder queryBuilder = DataQueryBuilder()
..whereClause = "Person[address].objectId = 'XXXX-XXXX-XXXX-XXXX'";
Backendless.data.withClass<Address>().getObjectCount(queryBuilder).then((count) {
print("Found objects - $count");
});
Codeless Reference¶
where:
Argument | Description |
---|---|
table name |
Name of the data table where to calculate the object count. |
where clause |
Optional argument. If set, it is a search query used by the server it to determine the number of objects matching the condition. Refer to the Search With The Where Clause topic for more information. |
distinct |
Used to return unique objects from the data table. Only custom properties/columns are considered in the query. Hence, if the data table contains a duplicate object, then it is not counted in the operation. |
Returns the number of objects in a table (if the where clause
is not set), otherwise the number of objects matching the search query.
Consider the following records in the employees
data table:
The example below counts specific objects in the data table since the where clause
condition is set to exclude objects that contain the value 'Manager'
in the column position
. Thereby, objects with the 'Manager'
values in the position
column are not counted in the operation.
The result of this operation will look as shown below after the Codeless logic runs:
Consider the data table below that contains two duplicate objects:
The Codeless logic below has a where clause
condition which is set to include in the operation only those objects that contain the value 'CEO'
in the position
column. The distinct
parameter is set to true
, hence the operation is set to count only unique objects, duplicates are skipped.
The result of this operation will look as shown below after the Codeless logic runs: