Category archives: FetchXML

One great option in FetchXML is to filter dates using a relative filter such as “this week”, “older than 2 years” etc. This is particularly helpful when you build a view, as it will automatically build the date criteria each time so your view is always up to date.

I was very pleased today to see a new feature in FetchXML – column comparisons! This allows us to build queries that compares the values in one column against those in another. Previously we’ve only been able to compare a column against a constant value.

A follow-up on my previous post on link-entity, prompted by this tweet from Daryl LaBar: Was unaware of the new join operators. @jordimontana @XrmWizard have either of you used these, or know what they are supposed to do? The documentation is rather lacking…https://t.co/Nr4AyZMzb2 — Daryl LaBar (@ddlabar) April 2, 2020

You can ensure your query only produces each row once using the distinct attribute. For example, if you have multiple entries for the same company name you can get the list of unique names using:

By default you’ll get up to 5,000 records that match your query. The top-level <fetch> element supports a few options to help you control this:

If you’re using any hierarchies in your data, you’ve probably noticed the icon in your main grid views that you can click on to show the hierarchy view when records have a parent or children. It’s simple to work out if a record has a parent – just check if the parent lookup attribute contains […]

One common pattern of queries I see about FetchXML is how to write queries to ask two different questions about the same related entity. For example: Invoices that include product A AND product B? Contacts that have pending emails AND no sent emails? Visits that have a page view of the checkout page BUT NOT […]

Last time I looked at aggregates, but unforgivably I missed out how to apply grouping to date/time attributes:

One feature of FetchXML that sets it apart from other CDS query options is aggregates. This is the option to get summary data (number of records, sum of opportunity value etc.) rather than the individual values from each record. If your only concept of how many records you have is “5,000+” then this is for […]