Introduction

Enriching data is at the heart of analysis modelling from lookup up reference information to performing complex calculations, PhixFlow covers it all. This page highlights the key areas of enrichment, providing examples, and listing the links to additional resources.

PhixScript

PhixScript is the language of PhixFlow and it can be used anywhere that supports expressions, such as attributes on a table and in filters.

Single Function PhixScript

This is used in attribute expressions and filters alike where a single function is called.

// If ExamResult is greater than 95 then return "Distinction" else return "Pass"
if( in.ExamResult > 95, "Distinction", "Pass")

Multiple Function PhixScript

PhixScripts containing multiple functions must be wrapped in a do(). do() can also be used within a function such as in if or switch. For more information see do().

The value returned from the PhixScript is the final value output, therefore it is useful to add the desired output to the end of the script.

Note that variables declared in an attribute expression (variables are declared with a $ symbol with the data type being implied) will be accessible to subsequent attributes within the same table using the $variable name.

do(
	// calculate the miles per gallon.
	$mpg = in.distance / in.gallonsUsed,
	
	// if $mpg is over 65 set efficiency to Highly Efficient
	if( $mpg > 65, $efficiency = "Highly Efficient",
	
		// ELSE, set $efficiency to be null
		$efficiency = _NULL
	),	

	// Set the value returned by the PhixScript
	$efficiency
)

Common Functions

There are over 115 functions available and these are listed in Functions, but to help you get started here is a short list of commonly used functions:

1. Comments can be added to a single line using // or to a section using /* */.
2. if: used where you need to evaluate a simple condition before processing an expression.
3. ifNull: If its first value is provided then this is the returned value, else it will return the second value.
4. switch: evaluates a set of conditions in turn, and returns the associated result for the first match.
5. forEach: Iterates over an Array or Recordset and processes a script for each entry.
6. listToString: takes a list and returns a string delimited by a specified value e.g. comma or pipe.
7. contains: Used on a string will return true (1), if a string contains another specified string.
8. listContains: Used on a list returns the position of an entry in a list (with 1 being the first item) if the value being looked for is found in the list, and false (0) otherwise.
9. replaceAll: Replace all occurrences of a pattern with a replacement string. Also, see replaceFirst.
10. dateDiff: Return the time difference between two dates in milliseconds.
11. dateAdd: Add or subtract from a date using a specified unit e.g. _MONTH.
12. now: Returns the current day and time, and today returns just the day.
13. _NULL: is how to declare a null value e.g. $output = _NULL.
14. substring: Returns the portion of the supplied string between specified character positions.
15. stringLength: Returns the length of a string.
16. trim: Removes leading and trailing white spaces from a string, returning the cleansed string.
17. toString: Converts a value from select data types into a string. For example, a date.
18. toDate: Converts a string in a recognised date format (e.g. 20120521 or 20120521.172108) into a date.

Debugging

• debug: Adds a debug message into the Log. This function is often used when creating a model and trying to work out why an Expression is not behaving as expected.
• error: Adds a error message into the Log and displays the message to the user. 

Variables

PhixFlow contains a number of Internal Variables available to PhixScript used for obtaining system and user information.

Variables in PhixFlow are declared using a $variable. The data type is implied by the first value entered, for example:

1. $myArray  = []. Creates an array.
2. $myString = "Hello World". Creates a string.
3. $myDate   = toDate("20120521"). Creates a date.
4. $myNumber = 42. Creates an integer.

Clearing Data

See Rollback Recordsets, for details on removing all or selected records from your Table. 

Lookup Information

Lookups can be performed using three different techniques, the method selected depends on your requirements and these are described below. For more information see Filtering and Sorting Data.

Lookup with Filtering

Scenario

Lookup information from a separate table and pass filtering information to return only selected records. 

Example

You need to retrieve the Region for a particular business using the City from its address.

Solution

1. You should have two tables:
   • one with your data that will perform the lookup e.g. Business Data.
   • a second table with the data being looked up e.g. Region.
2. Drag a pipe from the data to be looked up, to the data performing the lookup. In our case from Region to the Business Data.
3. In the properties window that opens for the pipe:
   1. Set the Name to be something short but meaningful.
   2. Set the Type to be lookup.
   3. In the filter section we will tell the lookup pipe we want to filter Region by City using the processed city value from our Business Data.
      To use the processed version of city we use _out.City.
   4. We are passing data and not just a string value, so click to tell PhixFlow we are passing an expression.
      The filter will look like this:
      
4. The lookup is now setup, to access its attributes, we open the Business Data table and add an attribute called Region.
   1. In the expression type pipe.attribute, in our case this will be rgn.Region.
   2. Save your changes.
5. Run analysis on Business Data and the Region will now populate.

Lookup with Order/Index

Scenario

This is a highly efficient method for performing a lookup against a small set of records. This kind of lookup will automatically cache a set amount of records, 3000 by default, in memory allowing for faster retrieval.

Example

You have a Product ID on an Invoice and want to return the name of the product to display. There are a finite amount of products so it is efficient to cache them. The setup will look similar to:

Solution

Merging Data

See Merging Tables for full details. This technique can also be used to deduplicate.

Matching Records

See Compare or Match Data for deduplicating and matching records.

More Information

• Filtering and Sorting Data
• Expressions and PhixScripts
• Rollback Recordsets