Advanced Form Row Data Binder is an extended version of the default Form Data Binder. It allows you to add in Filter Conditions in a guided and friendly manner.

Advanced Form Data Binder Properties

Configure Advanced Form Data Binder

Figure 1: Configure Advanced Form Data Binder

FormSource form to retrieve data from.
Joins Form Data Table
Form Data Table NameTarget table to join with
FieldTarget table field to join with
Join Field IdParent field Id to join with


In the screenshot example in Figure 1, such configurations can be presented with the following SQL.

Sample SQL
SELECT * FROM "Claim Entry" entry JOIN hr_expense_claim claim ON = entry.claim



Figure 2: Advanced > Filter

Filter Conditions

Filter Conditions

Join Type
  • And
  • Or

Field ID. (e.g. username)

  • Equal
  • Not Equal
  • Greater Than
  • Greater Than Or Equal
  • Less Than
  • Less Than Or Equal
  • Like
  • Not Like
  • In
  • Not In
  • Is True
  • Is False
  • Is Null
  • Is Not Null
ValueFilter value
Extra Conditions

Additional condition(s) for filtering the data set. HQL is expected here.

Syntax Query

Start your filter name with e.customProperties. followed by the field id (i.e. username)

HQL is accepted

You may even use an operator such as "LIKE" to narrow down your data set.

e.customProperties.title = 'Trip'

A hash variable is accepted here.

e.customProperties.submitted_by = ''

Userview Key can be used as part of the condition.

e.customProperties.category_id = '#userviewKey#'

Aggregate Query

Figure 3: Advanced > Aggregrate Query

Figure 4: The configurations shown in Figure 3 will produce the following sample result.

Group By

Add grouping clause/function to the eventual data set. This can be used together with Aggregate Fields above.

In figure 3, the "amount" field will be summed up by "claimant", shown in per record row.

Aggregate Fields

This field will be displayed once any number of columns has been added into the Group By field.

The select field is to aggregate.

  • Count
  • Count Distinct
  • Sum
  • Min
  • Max
  • Avg

In the sample screenshot above, the "amount" field will be put into the "Sum" function, and "Count" will be applied to "title".

Having Conditions

This field will be displayed once any number of columns has been added into the Group By field.

The HAVING clause enables you to specify conditions that filter which group results appear in the final results. The WHERE clause places conditions on the selected columns, whereas the HAVING clause places conditions on groups created by the GROUP BY clause. Read more at

Expression Columns

Figure 5: Advanced > Expression Columns

Expression Columns

An additional column can be added in this expression columns using Hibernate Query Language (HQL). This is especially useful when you need to perform additional computation on multiple columns.

Example 1 - Cast column to data type "long".

CAST(price AS long)
SUBSTRING(CAST(dateCreated as string),1,10)   // To extract the date from the datetime database column
CAST(e.customProperties.sales_price AS long) - CAST(e.customProperties.price AS long)

Example 2 - Concatenate multiple columns into one.

CONCAT(first_name, ' ', last_name)
first_name ||' '|| last_name
Custom Checkbox/Radio Button Value

Define custom record ID to be used to pass over to column action. Defaulted to ID.


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