Importing Tasks via Remote Management – Step-by-Step

I recently moved a client’s dev/test environment onto a new server. There were a few dozen reload tasks and rather than recreate them by hand, I chose to use the Import Task feature via the QMS Remote Management service.

I’ve known about this feature but have never had a chance to use it. I looked through QlikCommunity forum and did some googling to get more info but I didn’t find a lot. Specifically, there did not seem to be a single resource that laid out the steps to do the import. Hence the following post…

The process is fairly straightforward and intuitive. Below are the steps I followed. (This is on QlikView 11.2 SR6, by the way. Windows 2008 R2 Enterprise OS.) In my environment there was the remote server — let’s call it the OLD server, and the target server — we’ll call it the NEW server. And I had previously stopped all QV services on the OLD server and set them to Manual.

Preparing the OLD server

  • Turn on the QMS service – I don’t know if this is explicitly required (it would be easy enough to test), but at a minimum I wanted to be able to get into the QMC on my OLD server to look at things
  • Create a local “QlikView Management API” group on the OLD server – be sure to name it exactly that



  • Add members to QlikView Remote Management group – I added my domain service account that runs all the QV services. Although you could add a different account to run the import (you’ll need to supply login info on the NEW server if you do that.)
  • Confirm you have the group setup correctly – use the Users tab in QMC on the OLD server for this



  • Create an inbound firewall rule to allow domain traffic on port 4799 (this is the default port for the Remote Management service)



Preparing the NEW server

On the NEW server, all the preparation is done within the QMC, in the System > Setup tab. I’m going to walk through the steps as if you want to import ALL tasks (as opposed to selecting specific tasks for import).

  • Go to the Remote Management Services section and click the plus sign to create a link
  • Replace the default server name with the name (or IP) of your OLD server, and click Apply



  • If you intend to run the import with a user account other than the QV service account, go to the Login tab and enter credentials and Apply
  • Go to the Source Folders tab and you should see a list of folders From the OLD server. For each of these, map them to a folder on your NEW server. Click Apply.
  • NOTE: if you do not map all source folders, you’ll receive an error message when you attempt to import all tasks



  • Go to the QlikView Servers tab and map the name of the OLD server to the NEW server. In my case, because I had done some name-switching, these were the same name, but the mapping is still required. Apply.



  • You can optionally choose to disable triggers after tasks are imported



Importing tasks

Now that the link is established, the task import is quite simple.

  • Go to the Documents > Source Documents tab, right click on any folder or the top-level “gear” icon and choose “Import Tasks”
  • You’ll be presented with a new window with an expandable tree of your source folders. Click the top-level to select all tasks and click OK. You will be prompted to confirm.


  • Voilà!



I had read that the triggers of the type: “On event from another task” would not be created unless all tasks are imported. However, even though I did indeed import all tasks, none of the triggers were preserved. This was not the end of the world, but certainly eroded the value of the import. <– Wrong! See “IMPORTANT EDIT” below .

IMPORTANT EDIT – Aug 01, 2014

So…it turns out that the triggers (including the “One event from another task” triggers) were indeed created on the import. But because I had triggers disabled, the “links” did not appear. Once I started selectively enabling triggers, the Tasks screen showed the serial task chains as I expected.

So I hope you find these steps useful if you need to do a migrate. I will undoubtedly be referring to them in the future when I forget the steps! 🙂

Keep on Qlikin’

(keep on Sensin’ ?? )



Highlighting Redux – Alternate States to the Rescue!

The year was 2010 … Katy Perry and Lady Gaga topped the charts. Gas was $4.00 a gallon. A beer in Los Angeles cost five bucks. And dynamic highlighting of dimensional values in QlikView charts (a.k.a. brushing) needed a data island. AND I did a post on this topic: Highlighting a “special” dimension in bar charts.

Fast forward to Summer 2013 … okay, not much has really changed in the bigger picture but WOW is it easier to do brushing in QlikView. Actually, this is not really a new technique because I’m going to employ alternate state to do this trick which has been around since version 11 first came out.

What’s wrong with the old method?

Recall the challenge with brushing is that we want to provide users the ability to dynamically focus on one dimension value (i.e. make a selection), but we don’t want the other dimension values to vanish. Prior to version 11, this could be accomplished by using a data island (i.e. a stand-alone table that does not associate to the rest of the data model) that will provide a dimension for the users to make selections. And this dimension is necessarily decoupled from the model because it is an island.

This approach works fine, but it’s cumbersome to have to create an island table for every dimension that may be used for brushing. How can we simplify that step…..

It just got easier – Altered States!

If we think for a moment how the old method worked – that is, we decoupled the brushed dimension from the chart … which we did via the data island. Alternate states is another way to decouple data entities, and the good news is that we do NOT need to build additional tables to do it.

We will use this technique to provide brushing capability to call-out a category for new construction spending. (Note: these data are publicly available from the US Census Bureau.)

So here is the high-level algorithm we need to employ:

  1. Create an alternate state – let’s call it “A”  (without the quote symbols)
  2. Create a list box for the user to select the brushed dimension – PUT THIS LIST BOX IN STATE A
  3. Create the chart – put the chart in the default state
  4. Fine-tune the bar color in cases where the chart dimension matches the brushed dimension

Let’s break this down step by step:

Step 1 – create an alternate state

The really, really easy step … go to the Document Properties and click on Alternate States to bring up the dialog box. Add a state and call it A. (Note: I also have a state called B in the image).


Step 2 – create a list box in State A

Create a list box on the chart dimension – [Category Desc] in our case. Be sure to assign the state to A in the General tab of the list box properties.


Step 3 – create the chart

Be sure that the chart is in the inherited state; i.e. the Default state (not the A state).


The chart itself is quite simple with a single dimension: [Category Desc].


And a single expression: sum(Spend)


Step 4 – fine-tune the bar color

The bar color can be grossly controlled by the setting on the Colors tab in the chart properties. But we can also finely control the color; i.e. by using a data-driven expression by expanding the expression (on the Expressions tab of properties) and manipulating the Background Color.

The expression we need to use here will compare the chart’s dimension [Category Desc] (which is in the Default state) to the value the user selects for [Category Desc] in the A state. If the two value match, then color that bar differently than the rest — this is the “brushing.”

if(match([Category Desc], only({A} [Category Desc])), $(vData2Color))

where vData2Color is the rgb() definition for an emphasis color (pull out your copy of Few’s “Information Dashboard Design” if you need inspiration.)

Notice that invoking the alternate state is as simple as putting the state’s name A in the set definition.

The result …

The final result is a chart that in which any of the bars can be dynamically “brushed” by the users.


More of this at Masters Summit – Europe!

This is one of the topics I’ll be covering in my Visualizations course at the Master Summit in Europe in October. Rob, Oleg, Barry and I will be sharing our techniques with students from the UK and Spain – hope you can join us!


Keep on Qlikin’



REBOOT! an awesome trick to simulate OnOpen

Do you use OnOpen triggers in your application? Isn’t it a pain to have close and then re-open the app to test them?

I accidentally happened across a very cool technique to simulate the re-opening, and thus re-triggering of the actions. It’s as simple as toggling the WebMode.

  1. Enable WebMode by clicking the button in the tool bar
  2. Click it again to turn it off, and the OnOpen triggers will fire


Too easy, huh?!


Keep on Qlikin’



QlikView 11 for Developers – an excellent tome

I just read an excellent book by Miguel Garcia and Barry Harmsen – “QlikView 11 for Developers.” I highly recommend it for beginning and intermediate QlikView developers. I even learned a few things myself! Like the pick(dimensionality(…), …) trick.

QlikView 11 for Developers at PacktPub

Miguel and Barry are two of my favorite bloggers by the way.
Miguel: iQlik – Everything QlikView


Set Analysis & Alternate States – Quick Tip

I recently had my first opportunity to use Alternate States on a real project. As awesome as I think Alternate States are, I just haven’t had a chance to implement them before now.

As I was developing the expressions for my charts, I came across a predicament. And after some hand-wringing and head-scratching I realized it was a result of how I’ve been treating the set identifier, $.

As a reminder the set identifier $ is the default set. It represents the entire data model PLUS all user selections. Insofar as it is the default, it doesn’t need to be explicitly included in the expression. Meaning, when the $ is omitted in a set analysis expression, QlikView defaults to the default set. In other words,

sum({ $ } Sales) is equivalent to:   sum(Sales)

just as

sum({ $ <Year = {2010}> } Sales) is equivalent to:   sum({ <Year = {2010}> } Sales)

(notice the dollar-sign is absent in the 2nd expression)

Now, although the $ is not required, I have diligently included it in any and all expressions that use set analysis, rather than letting QlikView default it. My reasoning on this was to prefer the explicit over the implicit, i.e. leaving nothing to chance and more importantly, improving code understandability. And I’ve coached my students and clients to do the same.

“Always include the dollar-sign.”

B. Lay, said to dozens of students

…turns out that wasn’t such great advice!!


$ vs. Alternate States

So here comes the rub …

Without alternate states, the situation is simple: there is one and only one “default” state ($); namely the state of all user selections. But with alternate states defined, the concept of a “default” is no longer simple.

Instead of a single “default” state there are now:

  • the document default state, $ – this is the state we’re familiar with prior to version 11
  • a sheet state – which could be $, inherited from the document-level or one of the alternate states
  • an object state – which could be $, inherited from the sheet-level or one of the alternate states

Additionally, any expression in any object can either inherit the state of the object or be controlled via set analysis. And this is the key pointsum({ $ } Sales) and  sum(Sales) now have potentially different meanings.

By hard-coding the $ in the set, we are explicitly choosing the good old-fashioned default state – all user selections. This ignores the alternate states. In fact, even if the object is assigned to an alternate state, by placing the $ in the set expression we are ignoring that alternate.

Contrast this to omitting the dollar-sign: sum(Sales) In this case we are accepting whatever state the object is in. That could be the default set $ … or it could be an alternate state, if indeed the object is assigned to an alternate state.

By omitting the dollar-sign we are allowing the set expression to “inherit” the object’s state.

My Mistake

Back to my issue (it’s all about me!) … I had created two identical charts, one in State A and the other in State B. And two groups of list boxes, one State A and the other in State B. Each chart had several expressions and included set analysis (for other calculation reasons). Here are the details (note I’m obscuring the client’s actual field names):

  • Chart 1 – State A
  • Expression 1: sum({$ <CurrYTD = {Y}>} Sales)
  • Expression 2: sum({$ <CurrYTD = {Y}>} COGS)
  • Expression 3: sum({$ <CurrYTD = {Y}>} Units)
  • Expression 4: sum({$ <CurrYTD = {Y}>} #OrderCounter)


  • Chart 1 – State B
  • Expression 1: sum({$ <CurrYTD = {Y}>} Sales)
  • Expression 2: sum({$ <CurrYTD = {Y}>} COGS)
  • Expression 3: sum({$ <CurrYTD = {Y}>} Units)
  • Expression 4: sum({$ <CurrYTD = {Y}>} #OrderCounter)


So this is following my old-fashioned approach of always including the set identifier $.

Hence, to my chagrin, when I clicked on values in my State A and State B list boxes, nothing changed. Again, because I had overwrote the object state by using a $ in my set analysis expressions. The fix for this was quite easy; simply removing the $ from the expressions.

  • Chart 1 – State A
  • Expression 1: sum({ <CurrYTD = {Y}>} Sales)
  • Expression 2: sum({ <CurrYTD = {Y}>} COGS)
  • Expression 3: sum({ <CurrYTD = {Y}>} Units)
  • Expression 4: sum({ <CurrYTD = {Y}>} #OrderCounter)


  • Chart 1 – State B
  • Expression 1: sum({ <CurrYTD = {Y}>} Sales)
  • Expression 2: sum({ <CurrYTD = {Y}>} COGS)
  • Expression 3: sum({ <CurrYTD = {Y}>} Units)
  • Expression 4: sum({ <CurrYTD = {Y}>} #OrderCounter)


The Takeaway

Well, despite the resiliency of old habits 🙂 I will now be omitting the $ in my set expressions.


Keep on Qlikin’



Nifty trick for INLINE tables

Here’s a nifty little trick I discovered by accident when creating INLINE tables…

Some Motivation

Typically when I’m creating an INLINE table it’s for one of two reasons:

  1. I’m working very quickly and need to generate some additional data.
  2. I’m building a control table to use as part of the ETL script. For example, setting up a loop and I want to pull a value from the INLINE table into each loop iteration.

The technique I’m going to demonstrate is relevant to usage #1 above. In fact, it’s only useful if I’m going to base my INLINE table (in part) on data that already exist in my data model.

Consider this specific example:

  • We are building a Global Sales Analysis application
  • We have a Country field in our associative model
  • We wish to also analyze sales by Region: {EMEA, APAC, Americas} … but we don’t have a data source for this

What’s the easiest way to “append” the Region onto each Country record …. ???

The Trick

In the past, when faced with the use case as described above, I would do the following:

  1. Create a List Box on Country.
  2. Then right-click and copy possible values.
  3. Then paste those values into Excel for further manipulation. Or more typically paste them right into the INLINE load wizard.

BUT, there is a simpler way to achieve this, if you take note of a curious little “Tool” menu inside the Load INLINE table wizard…

Step One

Make sure the source field already exists in the data model. In our example it’s the Country field.


Step Two

Go into the Script Editor (ctrl-E) and go to the Inline table wizard:

Insert > Load Statement > Load Inline


Step Three

Check out the Tools menu inside the Inline Data Wizard window


Click on it and select the Document Data… option


Step Four

Locate the source field in the list of Available Fields. You will have an option to select All Values (this is what I always end up using) or take advantage of the associative model if selections have already been made in the dashboard.


Step Five

The wizard then populates the values from the source field into the first column of the table


Step Six

The second (and subsequent) columns can now be manually populated. Which in our use case is adding the Region {EMEA, APAC, Americas}


The Final Product

Clean it up and reload. And the final result should look like this:


I hope you find a chance to use this shortcut in your future projects.

Keep on Qlikin’



The Factoid – Text Boxes All Dressed-Up

Sometimes the simplest tasks are most challenging. Take for example the need to express a single, scalar number, such as the measurement of a KPI. One number, no dimensions, no time trend…simple, solitary…scary.

The trick is to NOT to overdo it. Don’t try to force a chart or speedometer or hygrometer or any other overblown visualization to do this job. In fact, the simplest way to express this result is probably just to state it, i.e. literally display the value as text.

A call center KPI example

Let’s consider an example from a call center. A key metric for the call center is call resolution time. This particular call center has a target resolution of five minutes. Here are some poor ways to visualize this metric (peruse any of Stephen Few’s writings if you’re not sure why):

If I had to choose one of these representations, the thermometer (far left) is the least offensive, but it consumes far too much space and the added context of seeing the level of “mercury” in the 100% gauge doesn’t really add much value.

Abandoning any of these visualizations, I opt instead for a simple text box:

The Factoid – adding context to the metric

To add some context to the metric’s value, we can utilize the the Text and the Caption areas of the text box.

By taking advantage of dynamic expressions in both the text and caption areas, you can build elaborate displays that combine both text and numerics. Be sure to spend some time on formatting the numbers. Functions like round(), num(), date() and the concatenation operator & (ampersand) are essentials.

Here is the code snippet for the caption:

=round(sum({$<[Affects SLA?] = {"-1"}>} [My Metric]), 0.001) * 100 & ' %'

And the text code:

='... of calls were resolved within ' & chr(10) & $(varCallResolutionTarget) &' min.'

where I have attempted to variable-ize all “moving pieces.”

The final result should look something like this:

I’ve coined this type of text box as a “factoid.” (“Unifact” sounds more representative, but a little too nerdy 🙂 ). Maybe QlikView will object-ize this and call it a QlikFact!

So to reiterate, don’t try to build a multi-dimensional visualization when you’re only trying to express a single number. I’ve found the factoid to be particularly useful when expressing KPI values, especially when there are well-known, impacting SLAs established and business users are keen to see performance numbers.

Keep on Qlik-in’