Hi All,
Is query service supports the Update statement??
Can we update a particular column value on some filter criteria by using an update statement?
Thanks
Gouri Raula
Solved! Go to Solution.
@gugun It is not possible to update a column using query service.
not sure on the use case you are referring, but using AJO --> update profile .It is possible to update profile attribute. check out https://experienceleague.adobe.com/docs/journey-optimizer/using/orchestrate-journeys/about-journey-b...
@gugun It is not possible to update a column using query service.
not sure on the use case you are referring, but using AJO --> update profile .It is possible to update profile attribute. check out https://experienceleague.adobe.com/docs/journey-optimizer/using/orchestrate-journeys/about-journey-b...
Query Service supports CREATE and INSERT INTO operations on data lake and the accelerated store (the reporting data layer).
Data Lake on the platform today supports an append-only model. This is going to change in the future and Query Service will start supporting UPSERT-style features.
The Accelerated Store has a new feature that we will be releasing called MERGE INTO that allows you to selectively update the records in the reporting engine.
A key point that I want to highlight which is key - the meaning of UPDATE has different meanings in the context of the app that will be using the data. If you want to update records say in Real-Time Customer Profile, then you if you keep updating the dataset on the data lake and let us say that Profile updates the attributes (a feature that will need to be built), you have no record of what the update history was. This can have big implications if your segments are dependent on the same attributes and the their counts change over time. In that case, the current model of append only is the best path forward.
Yeah unfortunately you cannot
Easiest workaround is to only select the columns that you need and then create a subquery, then regenerate your new column with your new data!
Views
Replies
Total Likes
Views
Likes
Replies
Views
Like
Replies