Kaizen #81 - COQL API - Part II

Kaizen #81 - COQL API - Part II

Hello everyone! 
Welcome to another week of Kaizen! 
In continuation to last week's post on COQL API, we will discuss the rest of the field types and their supported operators with detailed examples in this post. 

Supported field types and Operators

Please refer to the COQL API - Part I Kaizen post for the first three field types and their supported operators.

4) Boolean

The supported operator for Boolean field is =. You should provide the value as either true or false.

Sample Query

{
 "select_query" : "select Product_Name, Product_Code from Products where Product_Active = 'false' limit 2"
}

This sample query selects the Product_Name and Product_Code fields from the Products module where Product_Active is false, and limits the result to only 2 records.
Sample Response:
{
    "data": [
        {
            "Product_Code": "SR-001",
            "Product_Name": "Sigma",
            "id": "4876876000001036109"
        },
        {
            "Product_Code": "SR-003",
            "Product_Name": "Alpha",
            "id": "4876876000001039006"
        }
    ],
    "info": {
        "count": 2,
        "more_records": false
    }
}

what_Id support in COQL

=, !=, in, not in, is null, is not null are the supported operators. what_Id support is extended only to Tasks, Calls and Events. The what_Id field could be a lead or a contact.

Sample Query

{
    "select_query": "select 'What_Id->Leads.Last_Name' from Tasks where (('What_Id->Leads.id' in ('4876876000000900134','4876678000000900987')) AND ('What_Id->Leads.Industry' != 'ERP'))"
}

This sample query queries for the last name of leads associated with tasks where the lead ID is either '4876876000000900134' or '4876678000000900987', and the lead's industry is not 'ERP'.
Sample Response:
{
    "data": [
        {
            "What_Id->Leads.Last_Name": "Perry",
            "id": "4876876000001103044"
        }
    ],
    "info": {
        "count": 1,
        "more_records": false
    }
}

Roles and Profiles support in COQL

COQL supports roles and profiles lookup fields, allowing users to retrieve the owner's profile details such as ID, name etc, and the owner's role details using COQL queries. The supported comparators are =, !=, in, not in, is null, is not null.

Sample Query

{
    "select_query": "select Owner.role.id,Owner.role.name,Owner.role.reporting_to, Owner.role.share_data_with_peers, Owner.role.description, Owner.profile.id from Leads where Last_Name is not null LIMIT 1"
}

This query fetches the Profile details and Role details of the owner of one record from the Leads module. 

Sample Response:
{
    "data": [
        {
            "Owner.role.reporting_to": null,
            "Owner.profile.id": "4876876000000026011",
            "Owner.role.name": "CEO",
            "Owner.role.description": "crm.security.role.admin.desc",
            "Owner.role.share_data_with_peers": true,
            "Owner.role.id": "4876876000000026005",
            "id": "4876876000000333403"
        }
    ],
    "info": {
        "count": 1,
        "more_records": true
    }
}

Alias support

Supported operators : =, !=, in, not in, is null, is not null
Alias support in COQL allows users to simplify complex SELECT field names by giving them custom names or aliases. Using aliases in the SELECT column and ORDER BY class can make column names easier to understand and remember. For instance,  What_Id->Leads.Last_Name from our previous example can be given an alias in the SELECT query as follows.

Sample Query

{
    "select_query": "select 'What_Id->Leads.Last_Name' AS 'Lead Name' from Tasks where (('What_Id->Leads.id' in ('4876876000000900134','4876678000000900987')) AND ('What_Id->Leads.Industry' != 'ERP'))"
}

Sample Response:
{
    "data": [
        {
            "id": "4876876000001103044",
            "Lead Name": "Perry"
        }
    ],
    "info": {
        "count": 1,
        "more_records": false
    }
}

If you compare this response with the sample response in the what_Id section above, you can see that the key 'What_Id->Leads.Last_Name'  is replaced with the Alias 'Lead Name'  in here. 

Aggregate Function Support in COQL

Aggregate functions in COQL allow you to perform calculations on groups of records in a module. The available aggregate functions include SUM, MIN, MAX, AVG, and COUNT.

1. SUM

Use this function to sum up the values of an aggregate field in a module. 

Sample Query 1

{
    "select_query":"select SUM(Grand_Total) from Quotes WHERE Quote_Stage = 'Draft' "
}

This Query uses the SUM function to calculate the total value of the Grand_Total field for all quotes in the Draft stage in the Quotes module.
Sample Response:
{
    "data": [
        {
            "SUM(Grand_Total)": 1073660
        }
    ],
    "info": {
        "count": 1,
        "more_records": false
    }
}

Sample Query 2

{
    "select_query": "select SUM(Grand_Total), Account_Name.Account_Name AS 'Account Name', Billing_Country from Invoices where ((Status != 'Paid') and ((Billing_Country ='USA') OR (Billing_Country = 'Canada'))) GROUP BY Account_Name.Account_Name, Billing_Country ORDER BY 'Account Name' ASC"
}

This query retrieves the total SUM of the Grand_Total field, along with the Account_Name and Billing_Country from the Invoices module for those records whose Status field is not equal to 'Paid' and the Billing_Country field is either 'USA' or 'Canada'. The results are grouped by the Account_Name and Billing_Country fields and ordered in ascending order based on the 'Account Name' field.

Note that the 'Account Name' field is specified using the AS keyword to provide an alias for the Account_Name.Account_Name field. We have used the alias for the ORDER BY clause.
Sample Response:
{
    "data": [
        {
            "Account Name": "SR Systems",
            "Billing_Country": "USA",
            "SUM(Grand_Total)": 2430000
        },
        {
            "Account Name": "SR Systems",
            "Billing_Country": "Canada",
            "SUM(Grand_Total)": 60000
        },
        {
            "Account Name": "Zylker systems",
            "Billing_Country": "Canada",
            "SUM(Grand_Total)": 378000
        }
    ],
    "info": {
        "count": 3,
        "more_records": false
    }
}

The response JSON contains the SUM of the Grand_Total fields, Account Name and Billing_Country for each unique combination of Account Name and Billing Country fields that satisfies the filter criteria specified in the query. 

2. MAX

Use this aggregate function to find the largest value of a field in a module. 

Sample Query

{
    "select_query": "select MAX(Amount) AS 'Maximum Deal Amount', Account_Name.Account_Name from Deals where ((Stage = 'Closed Won') AND  (Type = 'Existing Business')) Group by Account_Name.Account_Name"
}

This Query selects the maximum Deal Amount for each account from the Deals module where the stage is Closed Won and the type is Existing Business.
Sample Response:
{
    "data": [
        {
            "Maximum Deal Amount": 6750000,
            "Account_Name.Account_Name": "Benton"
        },
        {
            "Maximum Deal Amount": null,
            "Account_Name.Account_Name": "King"
        },
        {
            "Maximum Deal Amount": 945000,
            "Account_Name.Account_Name": "Morlong Associates"
        }
    ],
    "info": {
        "count": 3,
        "more_records": false
    }
}

3. MIN

Use this aggregate function to find the smallest value of a field in a module. For example, you can use this function to find the Lowest Annual Revenue in the Leads module.

Sample Query: 1:

{
        "select_query": "select MIN(Annual_Revenue) from Leads where Annual_Revenue is not null"
}

Sample Response:
{
    "data": [
        {
            "MIN(Annual_Revenue)": 348.3
        }
    ],
    "info": {
        "count": 1,
        "more_records": false
    }
}

4. AVG

Use this aggregate function to find the average value of a field in a module. 

Sample Query

{
    "select_query": "SELECT AVG(Amount) AS 'Average Deal Amount' FROM Deals WHERE Type = 'New Business'"
}

This query calculates the average deal amount for all new business deals in the "Deals" module. 
Sample Response:
{
    "data": [
        {
            "Average Deal Amount": 877366.8359999999
        }
    ],
    "info": {
        "count": 1,
        "more_records": false
    }
}

5. COUNT

Use this aggregate function to count the number of records in a module satisfying a certain criteria. You can use this aggregate function only for number, lookup, and picklist fields.

Sample Query:

{
    "select_query": "SELECT COUNT(Product_Category) FROM Products WHERE Product_Active = 'false'"
}
This sample query queries for the total number of inactive products in the Product module. Please be aware that if there are any products with no value for the product category field, they will not be included in the count.

Important points to remember

  • COQL keywords are not case-sensitive.
  • To prevent ambiguity, the criteria listed in the WHERE clause must be properly enclosed in brackets. If WHERE has more than two criteria such as A, B, and C, use them as either of the following:
    • (A and (B and C))
    • ((A and B) and C)
    • A and (B and C)
    • (A and B) and C.
  • COQL supports only SELECT queries with WHERE, FROM, ORDER BY, LIMIT, and OFFSET clauses and aggregate functions SUM(), MAX(), MIN(), AVG(), and COUNT().
  • The default sort order is ascending based on record ID if ORDER BY is not specified.
  • Use the following format for :
    • Date : YYYY-MM-DD
    • DateTime : YYYY-MM-DDTHH:mm:ss+/-HH:mm
  • The default value for LIMIT is 200 and OFFSET is 0.
  • A maximum of 10,000 records can be fetched using the API.
  • Multi-line fields cannot be used in criteria.
  • COQL doesn't support consent_lookup, subform, profileimage, multiselectlookup, fileupload datatypes.
  • A maximum of 25 criteria can be included in the WHERE clause.
  • A maximum of 50 field API names can be used in the SELECT column of the query.

     Data Type
     Supported Operators
     text
     =, !=, like, not like, in, not in, is null, is not null
     picklist
     =, !=, like, not like, in, not in, is null, is not null
     ownerlookup
     =, !=, in, not in, is null, is not null
     lookup
     =, !=, in, not in, is null, is not null
     date
     =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
     datetime
     =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
     currency
     =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
     boolean
     =
     email
     =, !=, like, not like, in, not in, is null, is not null
     phone
     =, !=, like, not like, in, not in, is null, is not null
     website
     =, !=, like, not like, in, not in, is null, is not null
     double
     =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
     bigint
     =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
     integer
     =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
     formula
     If the return type is:
          Decimal/Currency/Date/Datetime : =, !=, >=, >, <=, <, between, not between, in, not in, is null, is not null
          String : =, !=, like, not like, in, not in, is null, is not null
          Boolean : =
     autonumber
     =, !=, like, not like, in, not in, is null, is not null
We hope you found this post useful. We will meet you next week with another interesting topic.

If you have any questions or feedback, please let us know in the comments below, or write to us at support@zohocrm.com. We would love to hear from you! 


Additional Reading:








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