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When do bulkified triggers operate on all sobjects?
Bulkified triggers operate on all sObjects in the trigger context. Typically, triggers operate on one record if the action that fired the trigger originates from the user interface.
When to use event based triggers in data factory?
Data integration scenarios often require Data Factory customers to trigger pipelines based on events such as the arrival or deletion of a file in your Azure Storage account. Data Factory is now integrated with Azure Event Grid, which lets you trigger pipelines on an event.
When to use event based trigger in ADF V2?
I am invoking an ADF V2 pipeline via an event based trigger when new files/blobs are created in a folder within a blob container. Blob Container structure:
How many storage event triggers can I create in Azure Data Factory?
The Storage Event Trigger currently supports only Azure Data Lake Storage Gen2 and General-purpose version 2 storage accounts. Due to an Azure Event Grid limitation, Azure Data Factory only supports a maximum of 500 storage event triggers per storage account.
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When do you need to bulkify trigger in Salesforce?
If you do that, your trigger is guaranteed to hit the governor limits. If you need to fetch large amount of data from an object (More than 50,000 records), then go for batch apex to pull that data, else you will again bump into another governor limit that wouldn’t allow you to fetch more than 50,000 records.
Which is best practice for bulk triggers in apex?
The SOQL and DML bulk best practices apply to any Apex code, including SOQL and DML in classes. The examples given are based on triggers and use the Trigger.New context variable. Let’s first look at the most basic bulk design concept in triggers. Bulkified triggers operate on all sObjects in the trigger context.
When to use bulk design patterns for triggers?
We recommend using bulk design patterns for processing records in triggers. When you use bulk design patterns, your triggers have better performance, consume less server resources, and are less likely to exceed platform limits.