XPath Constraints
Introduction
A constraint can be added to any XPath query to filter the data retrieved. It should always take the form of a valid expression. This should consist of one or more variables combined with operators, functions, keywords or system variables.
For example, this query retrieves all customers whose name is equal to Jansen:
//Sales.Customer[Name = 'Jansen']
The first half of the query is responsible for defining the entity to retrieve and the second half (between the brackets) constrains the data by a certain attribute. Note that the constraint is (and should always be) enclosed by brackets.
//Sales.Customer[Name='Jansen']
, you only need to write [Name='Jansen']
in the context of a customer. In Java, you do need to write whole queries, including the double slashes (//
) and the entity name.
The following example shows how you should perform an XPath query in Studio Pro. You Select the entity Sales.Customer
and then write the XPath constraint [Name='Jansen']
:
Multiple constraints can be added to a single query, this is true for all queries with the exception of the id
query. This is most commonly done by the simple expedient of opening a new set of brackets after closing the first.
Examples
This query retrieves all customers whose name is equal to Jansen and who live in Rotterdam:
//Sales.Customer[Name = 'Jansen'][Sales.Customer_Address/Sales.Address/City = 'Rotterdam']
It is also possible to combine constraints with an and
or or
operator. This query retrieves all customers whose names equal to Jansen and who live in Rotterdam:
//Sales.Customer[Name = 'Jansen' and Sales.Customer_Address/Sales.Address/City = 'Rotterdam']
This query retrieves all customers whose name is Jansen or who live in Rotterdam.
//Sales.Customer[Name = 'Jansen' or Sales.Customer_Address/Sales.Address/City = 'Rotterdam']
With parentheses, constraints can be grouped to define priorities. This query retrieves all customers who are not only named “Jansen” or “Smit,” but also live in Rotterdam:
//Sales.Customer[( Name = 'Jansen' or Name = 'Smit' ) and Sales.Customer_Address/Sales.Address/City = 'Rotterdam']
In some cases, it might also be useful define sub-constraints to restrict the data that is being constrained. This is easily achieved by adding a sub-constraint within the brackets of the original constraint. Do not confuse this with two separate constraints, as the sub-constraint only applies to the meta-constraint, not the actual query. As such, the brackets are not opened and closed one after the other; the sub-constraint should be entirely within the meta-constraint. In sufficiently complicated queries, this can result in confusion regarding where one constraint ends and the other begins. Make sure you keep careful track of bracket sets to prevent this from happening.
This query retrieves all users that have the role Administrator:
//Sales.User[id = '[%UserRole_Administrator%]']
This query retrieves all customers who live in Rotterdam or Losdun:
//Sales.Customer[Sales.Customer_Address/Sales.Address[City = 'Rotterdam' or City = 'Losdun']]
This query retrieves all customers who live in New Amsterdam, Guyana (as opposed to those that live in, for example, New Amsterdam, Indiana):
//Sales.Customer[Sales.Customer_Address/Sales.Address[City = 'New Amsterdam']/Sales.Address_Country/Sales.Country/Name = 'Guyana']
Avoid the use of the same path more than once in a single constraint. For example, the example on Rotterdam and Losdun could also be established like this:
//Sales.Customer[Sales.Customer_Address/Sales.Address/City = 'Rotterdam' or Sales.Customer_Address/Sales.Address/City = 'Losdun']
However, this query is executed inefficiently and will thus significantly slow down the query process.