This section will finish the implementation of New Horizons Requirements. So far we have inserted a booking in the two tables “booking” and “visit”. In this section we add transactionality. The inserts in these two tables should either all succeed, or all fail.
This last requirement can be implemented very easily. In file
Configuration.xml, please update the
<Pipeline> tag by inserting the attribute
transactionAttribute="RequiresNew". Here is the update:
... <ApiListener name="inputListener" uriPattern="booking" method="POST"/> </Receiver> <Pipeline firstPipe="checkInput" transactionAttribute="RequiresNew" > <Exit path="Exit" state="SUCCESS" code="201" /> <Exit path="BadRequest" state="ERROR" code="400" /> <XmlValidatorPipe name="checkInput" root="booking" schema="booking.xsd"> <Forward name="success" path="insertBooking" /> <Forward name="failure" path="makeInvalidBookingError" /> ...
RequiresNew means that a new transaction is started
for executing the
<Pipeline>. There are other possible values.
Mandatory for example requires that a transaction
exists when pipeline execution starts; the pipeline
will fail otherwise. This value is useful when
you want to execute multiple adapters within a single transaction.
See the Frank!Doc for details.
This completes the implementation of the requirements of section New Horizons Requirements . We have a REST HTTP service listening to booking XML documents. The XML is validated and all data is written to the database. To do this, multiple INSERT statements are needed. These are executed within a transaction, which means that either all inserts succeed or all inserts fail. If you are having troubles, you can download the solution. Please find the download link at the beginning of this chapter: Getting Started.
At this point, please test your work with the tools you found in this Getting Started tutorial. Windows users can use Postman to send HTTP requests to the adapter and Linux users can use
curl as explained in section Validating XML against Schema. You can also use the Test Pipeline screen (Testing Pipelines). Mind the primary key constraint of the database. Either give each booking document a unique
id, or apply SQL query
DROP ALL OBJECTS to clean your database (requires restarting the Frank!Framework).
There is one open end: security. Ingest booking is not the right user story to explain security, because it is part of a larger interaction with the user. Before a booking is accepted, the user logs in and searches destinations. That functionality would be needed before restricting access would make sense.
Until now the Frank!Framework has been used only for the backend. The next section deals with front-end code.