Hi zmsoft,
Thanks for reaching out to Microsoft Q&A.
Currently, Azure Stream Analytics (ASA) supports only inserting (appending) rows to SQL outputs, such as Azure SQL DB and Synapse Analytics. However, it does not natively support updating existing rows.
To achieve row updates, you can use a workaround involving Azure Functions as an intermediary layer. Here's a high-level approach:
- Create an Azure Function: Set up an Azure Function that listens for new events from your Stream Analytics job.
- Process Events: In the Azure Function, write logic to update the existing rows in your Synapse table based on the incoming event data.
- Stored Procedure: You can set up your output in Stream Analytics to target a stored procedure within your Azure SQL Database or Synapse SQL. This stored procedure can handle the incoming data and decide whether to perform an
INSERT
or anUPDATE
. In your stored procedure, useMERGE
orUPDATE
statements to update rows based on the incoming records. - Trigger the Function: Ensure that your Stream Analytics job sends events to the Azure Function.
For example, using a stored procedure, you could define it to accept parameters from ASA and then, within the procedure...
CREATE PROCEDURE UpdateOrInsertRecord
@id INT,
@value VARCHAR(100),
@timestamp DATETIME
AS
BEGIN
MERGE INTO TargetTable AS target
USING (SELECT @id AS id, @value AS value, @timestamp AS timestamp) AS source
ON target.id = source.id
WHEN MATCHED THEN
UPDATE SET value = source.value, timestamp = source.timestamp
WHEN NOT MATCHED THEN
INSERT (id, value, timestamp)
VALUES (source.id, source.value, source.timestamp);
END;
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