SQL Expressions

SQL expressions are special expressions, which are converted into SQL and run in an external system that supports SQL (e.g., SQL Server, Snowflake, Databricks, Redshift). Only a subset of QPR ProcessAnalyzer expression language functionalities are supported by the SQL expressions (which are explained in this page). SQL expressions are used e.g. in the Where and WithColumn functions in SQLDataFrames.

Operators

Following operators are supported by by the SQL expressions:

• Arithmetic operators: +, -, *, /, %
• Comparison operators: ==, <, <=, >, >=, !=.
• Logical operators: &&, ||, !
• Data types: string ("this is a string"), integer (123), decimal number (123.45), boolean (true, false), null value (null)

Expressions resulting in boolean value need to be enclosed to the CaseWhen function. For example, expression Column("MyColumn") < 5 doesn't work, but following does:

CaseWhen(Column("MyColumn") < 5, true, false)

Mathematical functions

Function	Description
Ceiling	Returns given value rounded to the nearest equal or larger integer. The data type should be one of the numeric data types. If the value is null, then the result is also null.
Floor	Returns given value rounded to the nearest equal or smaller integer. The data type should be one of the numeric data types. If the value is null, then the result is also null.
Round	Rounds given number to given precision. Parameters: number: Number to round. precision (optional): Number of digits to round the given number to. When positive value, the given number is rounded to the corresponding number of decimals. When zero or omitted, the given number is rounded to the nearest integer. When negative value, the given number is rounded to the corresponding number of digits left of the decimal point (e.g. tens, hundreds, etc.). Examples: Round(123.456) Returns 123 Round(123.456, 2) Returns 123.46 Round(123.456, -1) Returns 120 Round(123.456, 0) Returns 123

Date functions

Function	Description
DateDiff	Calculates how many of the specified date part boundaries there are between the specified dates. Parameters: time unit: Time unit in which the difference is calculated between the dates. Supported values are year, quarter, month, week, day, hour, minute, and second. start date: Starting timestamp. end date: Ending timestamp.
Day	Returns the days of the month (1-31) of given timestamp. Day(Column("DateColumn"))
Hour	Returns the hours part (0-59) of given timestamp.
Millisecond	Returns the milliseconds part (0-999) of given timestamp.
Minute	Returns the minutes part (0-59) of given timestamp.
Month	Returns the months part (1-12) of given timestamp.
Second	Returns the seconds part (0-59) of given timestamp.
TruncateDate	Truncates given date to given time unit. The truncation gives the timestamp of the beginning of the period defined by the time unit (logic thus resembles the floor function for numbers). Parameters: date: Date to be truncated. time unit: Time unit to which the date is truncated. Supported values are year, halfyear, quarter, month, week, day, hour, minute, second, and millisecond. For the week unit, SQL Server or Snowflake settings (depending where the processing is done) determine the first day of the week (usually Sunday or Monday). Examples: TruncateDate(Column("MyDateColumn"), "year") Returns timestamp representing beginning of a year, e.g. 2022-01-01 00:00:00. TruncateDate(Column("MyDateColumn"), "day") Returns timestamp representing beginning of a day, e.g. 2022-04-16 00:00:00.
Year	Returns the year of given timestamp.

AggregateFrom function

Aggregates a value from related objects, where there can be several of them a source object (e.g., when going from cases to events). See the type of relations between objects in the process mining concepts. The diagram shows that when going to direction where the target objects has count of N, AggregateFrom function needs to be used.

Parameters:

1. Aggregation level: Aggregation level to aggregate from. Also an expression can be used to produce the dataset.
2. Aggregation function: Aggregation function or object definition.
3. Expression: Expression to generate the values to be aggregated. Default value is null.
4. Filter: Optional filter to apply prior to performing the aggregation. Filter is given as JSON like syntax using dictionaries, arrays and scalar values.

Example for EventTypes:

AggregateFrom(Events, "Count")
Returns the number of events having each event type.

Example for Cases:

AggregateFrom(Events, #{ "Function": "List", "Ordering": ["TimeStamp"], "Separator": "#,#" }, Column("EventType"))
Returns variation/event type path string for all the cases.

GetValueFrom(Variations, AggregateFrom(Cases, "Count"))
Returns the number of cases having the same variation for every case.

DateDiff("Seconds", AggregateFrom(Events.Where(Column("EventType") == "Sales Order"), "Min", Column("TimeStamp")), AggregateFrom(Events.Where(Column("EventType") == "Invoice"), "Max", Column("Timestamp")))
Returns the duration in seconds between the first occurrence of "Sales Order"-event type and the last occurrence of "Invoice" event type for each case.

Example for Model:

AggregateFrom(Cases, "Count", null, #{"Items":[#{"Type":"IncludeCases","Items":[#{"Type":"CaseAttributeValue","Values":["Dallas"], "Attribute":"Region"}]}]})
Returns the total number of cases in the model having "Dallas" as the value of "Region" case attribute.

GetValueFrom function

Retrieves a value from a related object that there may be only one for a source object (e.g., when going from events to cases). See the type of relations between objects in the process mining concepts. The diagram shows that when going to direction where the target objects has count of 1, GetValueFrom function needs to be used.

Parameters:

1. Aggregation level: Aggregation level to aggregate from. This includes possible additional data frame expressions to prepare the aggregation level.
2. Expression: Expression to evaluate in given aggregation level to get the returned value.
3. Filter: Optional filter to apply prior to performing expression evaluation. Filter is given as dictionary following the JSON filter syntax.

Examples as measure expression for events:

GetValueFrom(Cases, Column("Account Manager\"))
Returns for each event the value of Account Manager case attribute.

GetValueFrom(Variations, Column("Variation"))
Returns for each event variation/event type path string of its case.

Examples as measure expression for events:

GetValueFrom(Variations, AggregateFrom(Cases, "Count"))
Returns the number of cases having the same variation for every case.

GetValueFrom(Cases, Column("Variation"), #{"Items":[#{"Type":"IncludeEventTypes","Items":[#{"Type":"EventType","Values":["Shipment","Invoice"]}]}]})
Returns cases with their variations where only "Shipment" and "Invoice" event types are taken into account.

Other functions

Function	Description
CaseWhen	Goes through conditions and returns a value when the first condition is true, similar to an if-then-else structure. Once a condition is true, it will stop reading and return the result. If no conditions are true, it returns the value in the else expression. If the else expression is not defined (i.e. there are even number of parameters), null value is returned. Consists of any number of pairs of condition and value expressions followed by an optional else expression. The odd parameters are the conditions and the even parameters are the return values. CaseWhen(Column("a") == null, 1, Column("a") < 1.0, 2, 3) Returns 1 if the value of column "a" is null. Returns 2 if the value of column "a" is less than 1.0. Returns 3 otherwise. Returns given value rounded to the nearest equal or larger integer. The data type should be one of the numeric data types. If the value is null, then the result is also null.
Coalesce	Returns the first non-null parameter. There can be any number of parameters. If all parameters are null, returns null. Coalesce(null, 3, 2) Returns 3. Coalesce(Column("column1"), "N/A") Returns column "column1" value, except replaces nulls with "N/A".
Column	Return the value of given column. Column("column1") Column("My Column 2")
Concat	Return the concatenated string value of given values. Concat("part 1", "part 2") Returns "part 1part 2" Concat(Column("column1"), " ", Column("column2")) Returns column1 and column2 value concatenated separated by space.
In	Returns true, if the test expression (given as the first parameter) matches with any of the other expressions given as parameters (starting from the seconds parameter). Examples: In(Column("Country"), "Germany", "France", "UK") Return true if column "Country" is Germany, France or UK. In("Germany", Column("SourceCountry"), Column("DestinationCountry")) Returns true, if column SourceCountry or DestinationCountry is Germany (or both columns).
Trim	Trims a string, i.e., removes spaces from the beginning and end of a string. Only characters with code 32 are removed, which is the most common space character. Examples: Trim(Column("MyColumn")) Returns column "MyColumn" where leading and trailing spaces have been removed. Trim(" test test ") Returns "test test".
Variable	Returns value of given variable that is available in the context where the SQL expression is run. Supports number, string and boolean values. Examples: let myRegion = "Dallas"; DatatableById(123).SqlDataFrame.Where(Column("Region") == Variable("myRegion")).Collect() Filters datatable by Region is Dallas.

Process mining objects

The following variable names are supported in the beginning of a root expression and in the AggregateFrom and GetValueFrom functions:

• Cases: Returns SqlDataFrame for cases. There are following properties:
  • CaseId: Case id.
  • All columns in the cases data (can be referred using Column("<column name>")
• Events: Returns SqlDataFrame for events with following properties:
  • CaseId: Case id.
  • EventType: Event type name.
  • Timestamp: Event timestamp.
  • All columns in the events data (can be referred using Column("<column name>")
• EventTypes: Returns SqlDataFrame for event types. There are the following properties:
  • EventType: Event type name.
• Variations: Returns SqlDataFrame for variations. There the following properties:
  • Variation: Variation identifier, which is concatenated event type names separated by separator "#,#".
• Flows: Returns SqlDataFrame for flows. There are the following properties:
  • FromEventType: Event type name of the flow start.
  • ToEventType: Event type name of the flow end.
• FlowOccurrences: Returns SqlDataFrame for flow occurrences. There are the following properties:
  • CaseId: Case id.
  • FromEventType: Event type name of the flow start.
  • FromTimeStamp: Time stamp of the flow start event.
  • From<event attribute name>: Event attribute value of the flow start event. (<event attribute name> is replaced by the actual attribute name.)
  • ToEventType: Event type name of the flow end.
  • ToTimeStamp: Time stamp of the flow end event.
  • To<event attribute name>: Event attribute value of the flow end event. (<event attribute name> is replaced by the actual attribute name.)
• Model: Returns SqlDataFrame containing one row representing the model. There are the following properties:
  • ModelId: Model id.

After these variables, all functions supported by the SqlDataFrame can be used.

Examples: For cases (and also events), the case id can be referred using CaseId:

Cases.Where(CaseId == "Case_123")

Assuming that there is an Order Id column that is mapped to the CaseId, also the original column name can be used:

Cases.Where(Column("Order Id") == "Case_123")

For events, the event type can be referred using EventType:

Events.Where(EventType == "Order created")

Assuming that there is an Process step column that is mapped to the EventType, also the original column name can be used:

Cases.Where(Column("Process step") == "Order created")