A variable in Qlik Sense is a container storing a static value or a calculation, for example a numeric or alphanumeric value. When you use the variable in the app, any change made to the variable is applied everywhere the variable is used.

You can define variables in the variables overview, or in the script using the data load editor. You set the value of a variable using Let or Set statements in the data load script.

When used, the variable is substituted by its value. Variables can be used in the script for dollar sign expansion and in various control statements. This is very useful if the same string is repeated many times in the script, for example, a path.

Some special system variables will be set by Qlik Sense at the start of the script execution regardless of their previous values. The Set command assigns the text to the right of the equal sign to the variable, whereas the Let command evaluates the expression. If you remove a variable from the script and reload the data, the variable stays in the app.

If you want to fully remove the variable from the app, you must also delete the variable from the variables overview. For more information, see Deleting a variable. If you want to load a variable value as a field value in a LOAD statement and the result of the dollar expansion is text rather than numeric or an expression then you need to enclose the expanded variable in single quotes.

This example loads the system variable containing the list of script errors to a table. You can note that the expansion of ScriptErrorCount in the If clause does not require quotes, while the expansion of ScriptErrorList requires quotes.

There are several ways to use variables with calculated values in Qlik Senseand the result depends on how you define it and how you call it in an expression. In the second variable, we add an equal sign before the expression. This will cause the variable to be calculated before it is expanded and the expression is evaluated. If you use the vSales variable as it is, for example in a measure, the result will be the string Sum Salesthat is, no calculation is performed. This means that the result displayed is the total sum of Sales.

Thanks for letting us know. Is there anything you'd like to tell us about this topic? Can you tell us why it did not help you and how we can improve it? Search for topics and videos. QlikWorld online Free global virtual event for data integration and data analytic gurus QlikView On this page Overview Defining a variable Deleting a variable Loading a variable value as a field value Variable calculation.

Create Script syntax and chart functions Script syntax Working with variables in the data load editor. Working with variables in the data load editor A variable in Qlik Sense is a container storing a static value or a calculation, for example a numeric or alphanumeric value. Tip: You can also work with the Qlik Sense variables from the variables overview when editing a sheet.

How to Pass Qlik Sense Load Script Variables Into An External Script Via EXECUTE Statement

Using variables in expressions. Note: It is not recommended to name a variable identically to a field or a function in Qlik Sense. Did this information help you? Yes No. Send feedback.Keeping you updated with latest technology trends, Join DataFlair on Telegram.

Earlier, we have discussed Qlik Sense Formatting Functions. The Qlik Sense String Functions are applied to the strings or text values used in data load scripts. We use these String Functions of Qlik Sense to manage and handle the string values.

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Qlik Sense comes with a number of string functions which are important for us to understand. The capitalize function returns a string with each word of the string starting with a capital letter.

The chr function returns the Unicode character corresponding to the integer you have entered in the expression. For instance, in the expression given below, the chr function will return the alphabet corresponding to the integer entered in the expression following the standard code ASCII. This function checks an input value in the expression for whether it can be evaluated in some or not.

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If it involves the evaluation of some kind then this function returns the value after evaluation. It returns the values in dual data format. If there is no evaluation in the expression then NULL is returned. You must read — Qlik Sense Null Functions. The findoneof function returns the position of the characters attained as search result which it encounters while searching for a set of characters.

Where, text is the text string in which you want to search the character set. This function returns a bit hash value corresponding to the value or string entered in the expression. The value usually returned is a character long string value which is a combined bit version of all the values that you have entered. Get a deeper knowledge of Qlik Sense Mapping Functions. For instance, the expressions given below, will return a bit hash value combining all the individual strings and store it in the system.

This function returns a bit hash value for the combined values corresponding to the string you enter in the expression. The result is usually a character string which is stored as a bit hash value in the memory.

For instance, a bit hash value will return combined for all the strings entered separately in the expression as given below. We recommend you to read Qlik Sense Financial Functions. The index function is used to find the nth position of the occurrence of a character in a string. The string in which the position will be searched is mentioned in the expression as given below. Where, text is the main or the original string that contains the substring which is to be searched.

The count is specified by n and if no value of count is specified then 1 is considered by the system.

qlik sense load script examples

The characters in the string are numbered 1 to n right to left.Some take the form of tutorials that can be followed to learn a concept or technique, others contain pre- canned visualisations that you can copy and paste into your own applications. If you find any of these apps useful, please do rate them on Qlik Community! This tool gives a list of all tables, the fields in those tables and the values of each field in a dynamic view.

This application was produced to illustrate the technique of sending data as an HTML table created during the load process. View Qlik Sense. This app demonstrates the new Alternate States functionality, delivered in Sense November This app demonstrates how star equals can be used in Set Analysis so that sets can also respond to selections as well as the sets defined in code.

Send Data from the Qlik Load Script

It then parses unstructured text into columns. Built for the Netgear RP router, but could work with others. Having a current selections box on every screen takes a lot of space. Sometimes it is useful to see all selections. This example is an elegant way of showing and amending selections.

View QlikView. This QlikView example shows how a Conditional Show on objects can allow a more dynamic experience than Minimize, Maximize and Containers. Sometimes you want to flex the dimension on your chart based on selections. The Drill function in QlikView allows you to show days within a month when only a month is available — but what if you want days from the end of one month and the start of another.

This example shows a more flexible way.

Qlik Sense & QlikView Examples

Set Analysis is a very powerful set of syntax for analysing data in different groups at the same time. This example shows how it can be used to do a simple YTD table. Following on from the simple Set Analysis above this example takes the use of the syntax further.

Produced to accompany the blog post QlikView Buttons, When, Why and Howthis example shows that Actions can be attached to far more than just buttons. Produced to accompany the blog post How to Build a Cycle Group in Qlik Sense this example shows how a data island of dimension names can be used in a Filter Object to select the Dimension for multiple charts.

Normally QlikView alerts are just used to send notifications about events. Produced to accompany the blog post Recipe for a Variance to Target Bar Chartthis example shows how to build charts to display variance to a target with both absolute and percentage values.

Example showing how tabs can be grouped and colour coded and a menu be employed to only show one group of tabs at a time — making navigation of a QlikView app far simpler.

This example also shows how different users can be shown different tab options based on their login. This is done with a simple inline load.

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The QlikView app shows each of these techniques working over a simple data set. A simple example of how Show Alternatives can help to highlight information that could otherwise be lost if shown in grey. Built to illustrate the blog post The Power of… Yellow? Originally developed to enable a client to export static images to a wallboard, this example shows how macro code can be used to automate the export of PNG files of charts or entire sheets on reload. Expanding on the dynamic date example above this application shows how a date dimension can flex to show data by the hour when only a few days are selected.

It also shows an alternative to flexing the dimension with thin bars in QlikView When using Set Analysis on dates it is often better to use dates stored in variables to deriving dates from the source data or a data island. This example shows how Actions can be used to manipulate dates with next and previous day buttons as well as the ability to skip months. A question was posed on QlikCommunity as to how an Object could be created that behaved like a List Box, but contained values from more than one field.

This Shared QlikView was a response to that question. A simple toggle created with Text Objects and Actions and conditional colours.If your app contains a large amount of data from database sources that are continuously updated, reloading the entire data set can be time consuming.

In this case you only want to load new or changed records from the database, all other data should already be available in the app. Incremental load, using QVD files, makes it possible to achieve this. Load data that is already available in the app from the QVD file. Create a new QVD file. The following examples show cases where incremental load is used.

However, a more complex solution might be necessary, depending on the source database structure and mode of operation. You can read QVD files in either optimized mode or standard mode.

The method employed is automatically selected by the Qlik Sense engine depending on the complexity of the operation. Optimized mode is about 10 times faster than standard mode, or about times faster than loading the database in the ordinary fashion. For more information, see Working with QVD files. The simplest case is the one of log files; files in which records are only appended and never deleted.

The following conditions apply:. The database must be a log file or some other file in which records are appended and not inserted or deleted which is contained in a text file ODBCOLE DB or other databases are not supported. Qlik Sense keeps track of the number of records that have been previously read and loads only records added at the end of the file. If the data resides in a database other than a simple log file, the append approach will not work. However, the problem can still be solved with a minimum amount of extra work.

Qlik Sense loads records inserted in the database after the last script execution. A ModificationTime field or similar is required for Qlik Sense to recognize which records are new. Check your database manual for the correct date syntax for your database. The next case is applicable when data in previously loaded records may have changed between script executions. Qlik Sense loads records inserted into the database or updated in the database after the last script execution.

This solution will force the reading of the QVD file to standard mode rather than optimizedwhich is still considerably faster than loading the entire database.I ultimately recommend ApplyMap.

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The associative model takes care of navigating joining the correct fields together. This is straightforward when all the required fields are in the same table. But what do we do when the fields come from multiple tables? The script might look like this:. It can be a lot of code depending on how many fields and tables we need to traverse. Lookup seems the most natural to me. It performs adequately with small volumes of data. How long to find a value is therefore dependent on where in the field the value is matched.

I like to think of the ApplyMap approach as an optimized form of Lookup. We first build mapping tables for each field we want to reference and then use ApplyMap instead of Lookup in the final statement. Our script will look like this:. The mapping setup can be a lot of code depending on how many fields are involved. You could also modify the Sub to handle some level of nesting as well. I typically use the mapping approach as I find it always gives accurate results with Join you must be careful of duplicate keys and generally performs the best, and importantly, consistently.

Whether you are new to Qlik or an old hand I hope you found something useful in reading this far. Summary: I review a subtle difference between using Num in the script vs Num in charts. I moved the Num measure to the script like this:. I expected ValueFormatted to yield the same result as the chart measure. The other values are correct. What gives? The Num function returns a Dual value. Duals have both a string display and a numeric value.

When populating a data model field, Qlik will use a single string representation for a given numeric value for that field. The string selected will be the first encountered for that numeric value.Qlik Sense allows for interactive analysis of data, but sometimes you just want to send data to users via email.

QlikView has a couple of features which are very useful which are not provided with Sense straight out of the box. The first is that the QMC sends email alerts whenever a task fails, and the other is the Alerts functionality. Note that the SMTP Connector has been renamed from the original name of Notification Connector, which provides a bit more clarity around what it does.

What we are going to look at in this post is pushing a table of aggregated data out to an email address on each refresh of the data. Typically in a Sense app you are loading a number of details rows and then building tables and charts which provide aggregated views of the data.

As we are going to be sending the data from the load script we need to perform the aggregations ourselves at this point. Both Alerts and NPrinting can also trigger mails based on criteria — whilst this example does not cover this always remember the load script is a full programming language so conditionally calling parts of the code is very simple.

In order to show the aggregated data clearly in an email we are going to be using HTML to build a table, with a touch of CSS to make it look tidy. As our table may get quite large we are going to write it to a HTML file on disk and tell the connector to pull that in.

This was brought in in the February release of Sense. If you are using QWC without a licence i.

Basic Incremental Load - Qlik applications

Now you are all set here are the steps you need to follow to have email sent to you directly from your Qlik load script. Firstly set up a Web library called GenericWeb.

This can point to any valid web page, as we will replace the URL later on in code. This is still quite a new feature in Sense, and is well worth knowing how to use to avoid loads of different Web connections. Next set up a Folder connection called TempData to a temporary store on your Sense server or desktop.

You can use a different location, just adapt the code later on. As this location will have a copy of your data in it you will need to ensure it is secure. This means that characters which could be misinterpreted need to be changed to a sequence of characters instead. The first parameter is the value to be encoded, the second parameter is a variable to be populated with the encoded value. These three variables store some environmental values.

The vConn is just to make our URL shorter later, as we can refer to the variable. Finally vEmailFile defines where our staging file will be written, this must match the folder of the library created earlier. You may require a machine name or domain reference here, rather than localhost, if your QWC instance is on another machine.

Now we define the settings for the SMTP connection. The settings above are for a GMail account. You will need to plumb in the correct settings for whichever SMTP server you wish to use. As this process is for sending emails only it is a good idea to set up a new account expressly for this purpose. The password needs to be encoded before it is entered here. In here you can set up and test your SMTP settings, including entering your password.

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The code which is generated on successful running will include the encoded version of your password. Note that whilst the password looks very different it needs to be passed to SMTP as the original string.In most cases, the same result can be achieved by using either method. This is useful when you want to perform calculations on data loaded with a SELECT statement where you do not have the option to use Qlik Sense functions, such as date or numeric value handling.

In this example, the date interpretation is performed in the Resident load as it can't be done in the initial Crosstable LOAD. The preceding load feature allows you to load a table in one pass, but still define several successive transformations.

qlik sense load script examples

You can stack any number of LOAD statements this way. The statement at the bottom will be evaluated first, then the statement above, and so on until the top statement has been evaluated. Another advantage of preceding load is that you can keep a calculation in one place, and reuse it in LOAD statements placed above.

Example 2: Simplifying your script by reusing calculations. By introducing the calculation in a first pass, we can reuse it in the Age function in a preceding LOAD :. Thanks for letting us know. Is there anything you'd like to tell us about this topic? Can you tell us why it did not help you and how we can improve it?

Search for topics and videos. QlikWorld online Free global virtual event for data integration and data analytic gurus QlikView Create Managing data Loading data with the data load script Understanding script syntax and data structures Logical tables Loading data from a previously loaded table. Loading data from a previously loaded table There are two ways to load and transform data from a table that already has been loaded.

Resident or preceding LOAD? Tip: A common case for using Resident is where you want to use a temporary table for calculations or filtering. Once you have achieved the purpose of the temporary table, it should be dropped using the Drop table statement.

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qlik sense load script examples

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