Unless

The unless prefix and suffix is used for creating a conditional clause which determines whether a statement or exit clause should be evaluated or not. It may be seen as a compact alternative to the full if..end if statement.

Syntax:

(Unless condition statement | exitstatement Unless condition )

The statement or the exitstatement will only be executed if condition is evaluated to False.

The unless prefix may be used on statements which already have one or several other statements, including additional when or unless prefixes.

Arguments
Argument	Description
condition	A logical expression evaluating to True or False.
statement	Any Qlik Sense script statement except control statements.
exitstatement	An exit for, exit do or exit sub clause or an exit script statement.

When to use it

The Unless statement returns a Boolean result. Typically, this type of function will be used as a condition when the user would like to conditionally load or exclude parts of the script.

The following lines show three examples of how the Unless function may be used:

exit script unless A=1;

unless A=1 LOAD * from myfile.csv;

unless A=1 when B=2 drop table Tab1;

Regional settings

Unless otherwise specified, the examples in this topic use the following date format: MM/DD/YYYY. The date format is specified in the SET DateFormat statement in your data load script. The default date formatting may be different in your system, due to your regional settings and other factors. You can change the formats in the examples below to suit your requirements. Or you can change the formats in your load script to match these examples.

Default regional settings in apps are based on the regional system settings of the computer or server where Qlik Sense is installed. If the Qlik Sense server you are accessing is set to Sweden, the Data load editor will use Swedish regional settings for dates, time, and currency. These regional format settings are not related to the language displayed in the Qlik Sense user interface. Qlik Sense will be displayed in the same language as the browser you are using.

Example 1 – Unless prefix

Overview

Open the Data load editor and add the load script below to a new tab.

The load script contains:

The creation of variable A, which is given a value of 1.
A dataset which is loaded into a table named Transactions, unless the variable A = 2.

Load script

LET A = 1;

UNLESS A = 2

Transactions:
LOAD 
* 
Inline [
id, date, amount
1, 08/30/2018, 23.56
2, 09/07/2018, 556.31
3, 09/16/2018, 5.75
4, 09/22/2018, 125.00
5, 09/22/2018, 484.21
6, 09/22/2018, 59.18
7, 09/23/2018, 177.42
];

Results

Load the data and open a sheet. Create a new table and add these fields as dimensions:

id
date
amount

Results table
id	date	amount
1	08/30/2018	23.56
2	09/07/2018	556.31
3	09/16/2018	5.75
4	09/22/2018	125.00
5	09/22/2018	484.21
6	09/22/2018	59.18
7	09/23/2018	177.42

Because the variable A is assigned the value of 1 at the start of the script, the condition following the Unless prefix is evaluated, returning a result of FALSE. As a result, the script continues to run the Load statement. In the results table, all the records from the Transactions table can be seen.

If this variable value is set to equal to 2, no data will be loaded into the data model.

Example 2 – Unless suffix

Overview

Open the Data load editor and add the load script below to a new tab.

The load script starts by loading an initial dataset into a table named Transactions. The script is then terminated unless there are less than 10 records in the Transactions table.

If this condition does not result in a termination of the script, a further set of transactions is concatenated into the Transactions table and this process is repeated.

Load script

Transactions:
LOAD 
* 
Inline [
id, date, amount
1, 08/30/2018, 23.56
2, 09/07/2018, 556.31
3, 09/16/2018, 5.75
4, 09/22/2018, 125.00
5, 09/22/2018, 484.21
6, 09/22/2018, 59.18
7, 09/23/2018, 177.42
];


exit script unless NoOfRows('Transactions') < 10 ;

Concatenate
LOAD
* 
Inline [
id, date, amount
8, 10/01/2018, 164.27
9, 10/03/2018, 384.00
10, 10/06/2018, 25.82
11, 10/09/2018, 312.00
12, 10/15/2018, 4.56
13, 10/16/2018, 90.24
14, 10/18/2018, 19.32
];

exit script unless NoOfRows('Transactions') < 10 ;

Concatenate
LOAD
* 
Inline [
id, date, amount
15, 10/01/2018, 164.27
16, 10/03/2018, 384.00
17, 10/06/2018, 25.82
18, 10/09/2018, 312.00
19, 10/15/2018, 4.56
20, 10/16/2018, 90.24
21, 10/18/2018, 19.32
];

exit script unless NoOfRows('Transactions') < 10 ;

Results

Load the data and open a sheet. Create a new table and add these fields as dimensions:

id
date
amount

Results table
id	date	amount
1	08/30/2018	23.56
2	09/07/2018	556.31
3	09/16/2018	5.75
4	09/22/2018	125.00
5	09/22/2018	484.21
6	09/22/2018	59.18
7	09/23/2018	177.42
8	10/01/2018	164.27
9	10/03/2018	384.00
10	10/06/2018	25.82
11	10/09/2018	312.00
12	10/15/2018	4.56
13	10/16/2018	90.24
14	10/18/2018	19.32

There are seven records in each of the three datasets of the load script.

The first dataset (with transaction id 1 through 7) is loaded into the application. The Unless condition evaluates whether there are less than 10 rows in the Transactions table. This evaluates to TRUE, and therefore the second dataset (with transaction id 8 through 14) is loaded into the application. The second Unless condition evaluates if there are less than 10 records in the Transactions table. This evaluates to FALSE, and so the script terminates.

Example 3 – Multiple Unless prefixes

Overview

Open the Data load editor and add the load script below to a new tab.

In this example, a dataset containing one transaction is created as a table called Transactions. A 'for' loop is then triggered, in which two nested unless statements evaluate:

Unless there are more than 100 records in the Transactions table
Unless the number of records in the Transactions table is a multiple of 6

If these conditions are FALSE, a further seven records are generated and concatenated onto the existing Transactions table. This process is repeated until one of the two transactions returns a value of TRUE.

Load script

Transactions:
Load
        0 as id
Autogenerate 1;

For i = 1 to 100
        unless NoOfRows('Transactions') > 100 unless mod(NoOfRows('Transactions'),6) = 0
                Concatenate
      Load
if(isnull(Peek(id)),1,peek(id)+1) as id
		Autogenerate 7;	
next i

Results

Load the data and open a sheet. Create a new table and add this field as a dimension:id.

Results table
id
0
1
2
3
4
5
+30 more rows

The nested unless statements that occur in the 'for' loop evaluate the following:

Are there more than 100 rows in the Transactions table?
Is the total number of records in the Transactions table a multiple of 6?

Whenever both unless statements return a value of FALSE, a further seven records are generated and concatenated onto the existing Transactions table.

These statements return a value of FALSE five times, at which point there are a total of 36 rows of data in the Transactions table.

After this, the second Unless statement returns a value of TRUE, and therefore the load statement following this will no longer be executed.

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