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articles/azure-functions/functions-bindings-azure-sql-output.md

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The output bindings use the T-SQL [MERGE](/sql/t-sql/statements/merge-transact-sql) statement which requires [SELECT](/sql/t-sql/statements/merge-transact-sql#permissions) permissions on the target database.
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If an exception occurs when a SQL input binding is executed then the function code stop executing. This may result in an error code being returned, such as an HTTP trigger returning a 500 error code. If the `IAsyncCollector` is used in a .NET function then the function code can handle exceptions throw by the call to `FlushAsync()`.
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If an exception occurs when a SQL output binding is executed then the function code stop executing. This may result in an error code being returned, such as an HTTP trigger returning a 500 error code. If the `IAsyncCollector` is used in a .NET function then the function code can handle exceptions throw by the call to `FlushAsync()`.
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articles/azure-functions/functions-bindings-azure-sql-trigger.md

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```
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Changes are be processed in the order that their changes were made, with the oldest changes being processed first. A couple notes about change processing:
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Changes are processed in the order that their changes were made, with the oldest changes being processed first. A couple notes about change processing:
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1. If changes to multiple rows are made at once the exact order that they are sent to the function is based on the order returned by the CHANGETABLE function
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2. Changes are "batched" together for a row. If multiple changes are made to a row between each iteration of the loop then only a single change entry exists for that row that shows the difference between the last processed state and the current state
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3. If changes are made to a set of rows, and then another set of changes are made to half of those same rows, then the half of the rows that wasn't changed a second time are processed first. This processing logic is due to the above note with the changes being batched - the trigger will only see the "last" change made and use that for the order it processes them in
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2. Changes are "batched" together for a row. If multiple changes are made to a row between each iteration of the loop then only a single change entry exists for that row which will show the difference between the last processed state and the current state
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3. If changes are made to a set of rows, and then another set of changes are made to half of those same rows, then the half of the rows that weren't changed a second time are processed first. This processing logic is due to the above note with the changes being batched - the trigger will only see the "last" change made and use that for the order it processes them in
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For more information on change tracking and how it's used by applications such as Azure SQL triggers, see [work with change tracking](/sql/relational-databases/track-changes/work-with-change-tracking-sql-server) .
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