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Retrieving Unique Objects

Unique objects can be retrieved from a column of the requested table by setting the true value in the setDistinct method, The distinct parameter is a boolean value which defaults to false.

The distinct property can be also used with Aggregate Functions such as AVERAGE, COUNT, and SUM. When applied to an aggregate function, the distinct property ensures that only distinct values are considered in the calculation, eliminating any duplicates from the result.

For example, when using the distinct property with the COUNT function, it counts only the unique occurrences of a particular column, disregarding any repetitions. Similarly, when combined with AVERAGE or SUM, the distinct property ensures that only distinct values are considered in the calculation, providing accurate results based on unique values within the dataset.

Consider the following data table called Employees:

data_service_load_objects_aggregate_functions_example

This table contains the column firstName, and by passing the true value to the setDistinct method, only unique values will be returned in the response:

const query = Backendless.DataQueryBuilder.create()  
query.addProperty('firstName')  
query.setDistinct(true)  

const result = await Backendless.Data.of('Employees').find(query)

The query returns the following result which contains only unique names:

[  
    {  
        "___class": "Employees",  
        "firstName": "Alex"  
    },  
    {  
        "___class": "Employees",  
        "firstName": "Alice"  
    },  
    {  
        "___class": "Employees",  
        "firstName": "Bob"  
    }  
]

Aggregate Functions

The distinct parameter can be also used with such aggregate functions as:

All examples presented further use sample data from the Employees data table presented in the beginning of this topic.

Average

Suppose you need to calculate an average value for a set of objects, but you want to skip identical records. The following example will retrieve only unique values from the age column and calculate the average age of all employees.

const query = Backendless.DataQueryBuilder.create()  
query.addProperty('Avg(distinct age')  
query.setDistinct(true)  

const result = await Backendless.Data.of('Employees').find(query)

Count

The example below will count only unique values in the firstName column and return an integer value in the response:

const query = Backendless.DataQueryBuilder.create()  
query.addProperty('Count(distinct firstName')  
query.setDistinct(true)  

const result = await Backendless.Data.of('Employees').find(query)

Sum

The example below will calculate the sum of unique values in the bonusPayment column and return an integer value in the response:

const query = Backendless.DataQueryBuilder.create()  
query.addProperty('Sum(distinct bonusPayment')  
query.setDistinct(true)  

const result = await Backendless.Data.of('Employees').find(query)

Codeless Reference

Consider the following data table called Employees:

data_service_retrieving_unique_objects_2

AVERAGE

Suppose you need to calculate the average age of your employees, while excluding duplicates. As shown in the data table schema above, there are two identical records with the name "Bob Peterson". that have the value of 40 in the "age" column.

The example below returns the average age only for unique records stored in the Employees data table:

data_service_retrieving_unique_objects_3

The operation returns the following result in the response:

data_service_retrieving_unique_objects_4

COUNT

Suppose you need to count the number of employees, while excluding duplicates. Considering the data table schema provided above, there are two identical entities with the name "Bob Peterson".

The example below counts the total number of unique employee names in the Employees data table:

data_service_retrieving_unique_objects_5

The operation returns the following result in the response:

data_service_retrieving_unique_objects_6

SUM

Suppose you need to calculate the sum of all bonus payments, while excluding duplicates. Considering the data table schema provided above, there are two identical records that have the 360 value stored in the "bonusPayment" column:

The example below excludes the duplicate entity and calculates the sum of unique values:

data_service_retrieving_unique_objects_7

The operation returns the following result in the response:

data_service_retrieving_unique_objects_8