How can I use the Salesforce skinny tables for the purpose of improving the performance of queries?
I am a Salesforce developer and I am currently working on a particular task of optimizing data access performance for a custom application that heavily relies on querying a large volume of data from the account object. Describe to me how can I implement and use the Salesforce skinny tables for the purpose of improving the query performance.
In the context of Salesforce, here is the detailed approach given of how you can implement and use the Salesforce skinny tables for the purpose of optimization data access bin the scenario described:-
Understanding the skinny tables
In Salesforce the skinny tables are the custom tables that can include a subset of fields from a standard or custom object. They are totally designed for the purpose of improving the performance of queries by storing frequently accessed fields in a denormalized format.
When to use
You can use the skinny tables in the time when you need to frequently query a large volume of data from an object.
Creating and updating skinny tables
Skinny tables can be automatically created and maintained by salesforce when certain criteria are met:-
The object must have at least 100000 records.
The fields that are selected for inclusion in the skinny table must meet specific criteria.
Impact on the query performance
If you are using the skinny tables in Salesforce then it can significantly improve the query performance by the technique of reducing the number of database operations and eliminating the need for complex joins.
Here is the example given of how you can query data from a skinny table in apex code:-
“List accounts = [SELECT I’d, name, industry from account]; “