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With Qlik Sense's new feature, Chart-level scripts, Add prefix is used with LOAD to append values to the HC1 table, representing the hypercube computed by the Qlik associative engine.
Based on this documentation and using the attached CHART LEVEL SCRIPT_ADD RESIDENT Load.qvf, we would expect the table to have 12 entries (6 original and 6 new)
Example: as the hypercube already has 6 entries, we would expect 6 new entries to be added when using Add prefix.
ADD LOAD MyDim1 as MyDim1, MyDim2 as MyDim2, MyMeasure1*100 as MyMeasure1, MyMeasure2*1000 as MyMeasure2 RESIDENT HC1
The result only shows 6 rows, with only one of them being modified:
This is working as designed.
ADD LOAD RESIDENT will try to merge duplicate rows and the test cases expect this behavior.
To workaround this specific user case, add a blank space to one of the dimensions, as shown below:
ADD LOAD MyDim1&' ' as MyDim1, MyDim2 as MyDim2, MyMeasure1*100 as MyMeasure1, MyMeasure2*1000 as MyMeasure2 RESIDENT HC1;"
QB-27903
Based on Qlik Sense online documentation, a PUT statement can be used to access columns, rows i.e. to set a numeric value to the hypercube.
However, using a Dimension name in a PUT statement, the following error is thrown:
Load statement could not find target column [MyDim1] in hypercube
This is working as designed.
Put statements are not allowed to manipulate dimensions. The Qlik Sense online help will be updated to reflect this.
QB-27904
Based on Qlik Sense online documentation, PUT statement can be used to set some numeric value to the hypercube
But in the following example (see attached CHART LEVEL SCRIPT_Put Dimension_silently fails.qvf), PUT statement seems to do nothing i.e. when used, no error is returned and expected changes are not displayed
Put #hc1.dimension.1(rr) = 'myvalue_' & rr; Put #hc1.dimension.2(rr) = rr * 100;
This is working as designed.
Put statements are not allowed to manipulate dimensions. The Qlik Sense online help will be updated to reflect this.
QB-27952
This document is a general guide and is provided as is. Modifications to the process may be necessary depending on your individual database setup.
If you have installed a standalone PostgreSQL database, or if you have used the Qlik PostgreSQL Installer (QPI) to upgrade and decouple your previously bundled database, then you can upgrade PostgreSQL at any time. This means you control maintenance and can immediately react to potential PostgreSQL security concerns by upgrading to a later service release or a later major version.
Content
This document covers the following scenario:
Run a complete backup of Qlik Sense Enterprise on Windows site as described in Backup and restore Qlik Sense Enterprise on Windows.
These steps apply if you are upgrading within a major PostgreSQL release (example: 14.5 to 14.8).
No further steps are required.
If you are moving to a higher major version, an in-place upgrade will not be possible. Instead, we will install the the new version in parallel, then then migrate the old database and eventually uninstall the old version. Our example is written using PostgreSQL 12 to 14.
Upgrading and unbundling the Qlik Sense Repository Database using the Qlik PostgreSQL Installer
How to manually upgrade the bundled Qlik Sense PostgreSQL version to 12.5 version
Changing the Database Superuser Password without Qlik Sense Installed
After an upgrade to Qlik Replicate 2024.5, capturing changes (CDC) for a table defined as DDS on a DB2i Source leads to conversion errors with the NUMERIC Datatypes with precision and scale greater than zero.
Due to a change in Qlik Replicate's new version, this error causes the table defined in the task to have data issues with the value in the target showing 0 and not the correct value present in the Source.
Example: 100.000 (source) becomes 0 (target)
To verify the table defined in the task, have the DDL for the table confirmed, then check locate the below details in the DDL output from iSeries, helping you identify if this is a DDS defined table in the DB2i Source Environment:
RCDFMT
Example:
The DDS number definitions impacted have a SCALE > 0.
So take DDS 5S 2, or in SQL Numeric(5,2), a value like 123.45 will fail conversion and end up as 0.
No solution is currently available.
Postpone the upgrade or reload the affected table as a possible workaround.
A regression of the 2024.5 version of Qlik Replicate, affecting how the Datatype is parsed from the Journal/Receiver to the Target.
Selecting records using a specified record format name (RCDFMT parameter)
RECOB-8827
Renaming an Endpoint:
The only possible way to rename an endpoint is to duplicate an existing endpoint and change the name.
You need to reconfirm the password of any endpoints that was duplicated.
Renaming a Task Name:
The only way to rename a task is outline below:
The reason for this is because the task name is used throughout the replicate environment from the task directory on disk to the internal SQLite DB entries, as well as in the target DB control tables so changing the name is very complex for the Replicate architecture.
Three requirements need to be met in order to allow Anonymous users access to the Hub:
Useful information:
By default, anonymous access is disabled. The steps provided require a restart of the Proxy service after completion.
Anonymous users will need to have a license rule available for them which gives them either an Analyzer Capacity License or a Login Access Token. The instructions in this article will focus on Analyzter Capacity Licenses.
You can use the default Everyone stream, which has already been set up for anonymous access, or create your own.
We will create two rules. One to allow logged in (authenticated) users access and publishing permissions. One to allow anonymous user access, but no publishing permissons. Note that based on your requirements, this may need to modified.
We are now ready to test access.
When your Qlik Sense server is behind a proxy you will need to add the proxy in the License service:
Configuring a proxy for Qlik License Service communication in Qlik Sense Enterprise on Windows
Qlik Sense Enterprise on Windows
{"caller":"handler.go:53","errorMessage":"invalid license error, no license found, tenant not found","errorType":"LICENSES-ForbiddenRequest","level":"info","logTraceId":"XXXXXXXXXXd674e50adef83","statusCode":403,"timestamp":"2021-09-23T09:17:27.1566729Z"}
This 403 forbidden error doesn't tell us more than that something is forbidden.
If we want to check this Proxy and be sure it is really working from the Qlik Sense server, we can use PowerShell and test the connection.
If you are using a Proxy with no authentication required, you can use below command:
Where "myproxy" = the proxy IP address or hostname set in the Qlik Sense dispatcher service
And where "8080" = the port number used for the Proxy
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
$Site="https://license.qlikcloud.com"
$Test=Invoke-WebRequest -URI $Site -Proxy 'http://myproxy:8080'
$Test.Links
If your proxy requires authentication, you can use below command (run PowerShell as Administrator).
Where "172.16.16.101" = the proxy IP address or hostname set in the Qlik Sense dispatcher service
And where "808" = the port number used for the Proxy
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
netsh winhttp set proxy "172.16.16.101:808"
$Wcl=New-Object System.Net.WebClient
$Creds=Get-Credential
$Wcl.Proxy.Credentials=$Creds
$Site="https://license.qlikcloud.com"
$Test=Invoke-WebRequest -URI $Site
$Test.Links
The above command will prompt a Window where you need to put the login name and the password for the proxy authentication.
The result of the two above PowerShell scripts should show below result:
If you have any other result like for example "Your system policy has denied the requested action", or "proxy denied access", or similar, contact your IT security team to allow access to https://license.qlikcloud.com (port 443) through your Proxy.
Cannot publish a Job to Talend Cloud from Talend Studio, the following message appears on the pop-up in Talend Studio:
Could not resolve dependencies for project <Project>.job:<JOB>:jar:0.1.0: The following artifacts could not be resolved: <Project>_jobs.code:routines:jar:8.0.1 (absent): Cannot access central (https://repo1.maven.org/maven2/) in offline mode and the artifact org.example.mse_jobs.code:routines:jar:8.0.1 has not been downloaded from it before. -> [Help 1]
Cause 1
Cause 2
Solution 1
Solution 2
Please note that merely editing the <Talend_Studio_Home>/path/Talend-Studio-xxx.ini file may not be sufficient. In cases where you are launching via a Windows/Mac/Linux GUI shortcut, please ensure that the -vm option is configured to point to the Java 17 bin.
Talend studio can't connect TAC at loading license page and Pop-Up window displays
"Studio can't access the resource from server, please check the resource url". If loading a local license, then studio can connect TAC successfully at the connection setting page .
Cause 1
Defect TUP-40730(Internal) was identified and addressed in November 2023 release of Studio
Cause 2
Potentially, there may be a network connection issue between studio and TAC due to firewall, proxy, VPN
Internal investigation ID TUP-40730
Content
Qlik Products have generally utilized license keys to enforce license entitlements and use rights. During activation, the licensed entitlement is downloaded to the product in the format of a Licensing Enabler File (LEF). Activation requires internet connectivity to the deployment and is triggered by entering a 16-digit serial number and a corresponding control number. Offline activation is also supported using a manual LEF by copying and pasting a text file into the activation user dialog. Communication is through an http protocol.
Introduced with the February 2019 release[GM1] of Qlik Sense Enterprise, Qlik has developed an alternative process for product activation. There have been several drivers for this change, including a move to an https protocol for a more secure connection between the Customer deployment and Qlik infrastructure. More information follows below.
To allow for Customers to make the decision when to move, Qlik has introduced the use of a Signed License Key to determine which activation method to use. Over time Qlik Licensing Service will replace the current activation process, but for now both methods of activations will work.
As mentioned above, Qlik has added one additional way to activate Qlik products.
JSON Web Token (JWT) is an open standard (RFC 7519) that defines a compact and self-contained way for securely transmitting information between parties as a JSON object. This information can be verified and trusted because it is digitally signed. JWT’s can be signed using a secret (with the HMAC algorithm) or a public/private key pair using RSA or ECDSA.
Although JWT’s can be encrypted to also provide secrecy between parties, we will focus on signed tokens. Signed tokens can verify the integrity of the claims contained within it, while encrypted tokens hide those claims from other parties. When tokens are signed using public/private key pairs, the signature also certifies that only the party holding the private key is the one that signed it. That is why we refer to this as the Signed License Key.
With the use of a Signed License Key, there are more Product and deployment offers to use.
All of the above is enabled by the use of the Signed License Key. This made possible as the local deployment will sync entitlement data with all deployment’s using the same Signed License Key through an online database, License Backend, hosted by Qlik within Qlik Cloud.
This is initiated by entering a Signed License Key to the Control Panel. The request is performed by the service Licenses using port 443 (https protocol procedures applies).
Signed license Key
|
Example data |
A Signed License Key based on one of Qlik’s internal keys.
|
eyJhbGciOiJSUzUxMiIsInR5cCI6IkpXVCIsImtpZCI6ImEzMzdhZDE3LTk1ODctNGNhOS05M2I3LTBi MmI5ZTNlOWI0OCJ9.eyJqdGkiOiI2MjNhYTlhZi05NTBmLTQ3ZjctOGJmMC1mNGQzOWY0MmQ5N mMiLCJsaWNlbnNlIjoiOTk5OTAwMDAwMDAwMTI1MyJ9.YJqTct2ngqLfl2VP3jxW4RsDNK2MTL-BpJ WnBdIfF5gGbJcX0hc__tfIa2ab5ZrL9h6tsZxTwgucTFiRTAOz8PaOQP7JTnhPCyrBZwpnmhvCrSHx2 C-HbCARFUIueBzMg8fgvWH-3HxBuxx6jnDhekDTUbb12vBq7CySampJkgMT7QsDdUkeJy5E7O0U 8yhd1RtEDeuTbeX35eIdQUN4DyJWHHPiT9qZt1AV0_Ofe1iLKxYZMa5jC0kIsVwYnRCJzibZlrLE7mS VlNitxmcm8OoUrR_ZIk8VuOkoz_qqy8N_wwrt7FcT2slWz50XzuL8TIWY9mcGIL |
Assignment information (what user has what type of access assigned) is synchronized from the license service to license.qlikcloud.com every 10 minutes.
Changes to a license (such as adding additional analyzer capacity) can take up to 24 hours to be retrieved.
Data Element | Comment | Example Data |
Signed License Key | See above | |
Cause | Initial or Update | “Initial” |
User agent | build by the License service version (operating system) and Product (e.g. QSEfW, QCS, QSEfE, QV) | Licenses/1.6.4 (windows) QSEfW |
Data Element | Comment | Sample Data |
License definition | content variable based on product and entitlement | "name": "analyzer_time", "usage": {"class": "time", "minimum": 5}, "provisions": [{ "accessType":"analyzer"} ],"units": [{"count": 200, "valid": "2018-06-01/2018-12-31"}]}, "name": "professional", "usage": { "class": "assigned", "minimum": 1 }, "provisions": [{ "accessType": "professional" }],"units": [{ "count": 10, "valid": "" }]} |
(Time schedule is not disclosed and includes grace time to support outages in the internet connection, a/k/a Optimistic Delegation.)
Data Element | Comment | Sample Data |
Signed License Key |
See above | |
Array Element id | Used for internal match only | 1 |
Allotment name | alternatives are Analyzer_Time, Core_Time | “analyzer_time” |
Year/Month | YYYY-MM | 2018-11 |
Consumption | for this deployment since last sync | 242 |
Source | hashed ID to make each deployment unique, e.g. a Qlik Sense Enterprise on Windows and a Qlik Sense Enterprise on Kubernetes will have different Source ID's | fbe89d02-6d24-4595-915e-c52ce76f2195 |
User agent | same construct as for as activation request | Licenses/1.6.4 (windows) QSEfW |
Data Element | Comment | Sample Data |
Total consumption | Used by the Product for enforcement. Deny access will be executed if quota has been exceeded. Quota is set in the LEF. Additional quota for the month could be managed as Overage in the LEF. This would contain an Overage Value (COUNT) or the value YES. Total quota for the month is calculated as licensed quota + Overage quota. If the LEF contains the value YES, there will be no cap on the capacity for the Year/Month. |
12345 |
Data Element | Comment | Sample Data |
Signed License Key | See above | |
Allotment name | Professional / Analyzer | “professional” |
Subject | Domain / User ID; if this an add or delete transaction. By delete the subject will be removed immediately. An internal id will be used to secure sync to other deployments using the same Signed License Key. The internal id will disappear within 60 days after a delete transaction. (This information is stored for all assigned users until such a time that the assignment is deleted at which point it is deleted. The information is used for synchronizing assignments across deployments in order to facilitate the single-license-multi-deployment scenario. It is encrypted in transit and at rest.) |
“acme\bob”
(For information on how data is submitted and stored in the audit logs see here) |
User agent | Build by the License service version (operating system) and Product (e.g. QSEfW, QCS, QSEfE, QV) | Licenses/1.6.4 (windows) QSEfW |
Source | Hashed ID to make each deployment unique, e.g. a Qlik Sense Enterprise on Windows and a Qlik Sense Enterprise on Kubernetes will have different Source ID's | fbe89d02-6d24-4595-915e-c52ce76f2195 |
Sync metadata | Versioning information about the subjects and list of subjects to manage the synchronization process | { "source": "my assignments", "bases": [{ "license": "1234 1234 1234 1234", "version": 0 }], "patches": [{ "instance": "", "version": 0, "license": "1234 1234 1234 1234", "allotment": "analyzer", "subject": \\generated4, "created": "2019-04-18T10:01:35.024031Z" } |
Data Element | Comment | Sample Data |
Signed License Key | See above | |
Subject | Including subjects changed by other deployments | “acme\bob” |
Sync metadata | Versioning information about the subjects and list of subjects to manage the synchronization process | { "bases": [{ "license": "1234 1234 1234 1234", "version": 17 }], "patches": [{ "instance": "5382018630938057025", "version": 14, "license": "1234 1234 1234 1234", "allotment": "analyzer", "subject": ACME\\bob", "created": "2019-04-18T10:01:35.024Z", "rejection": "" }] |
This Reference Guide is intended solely for general informational purposes and its contents do not form part of the product documentation. The information in this guide is subject to change without notice. ALL INFORMATION IN THIS GUIDE IS BELIEVED TO BE ACCURATE BUT IS PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. Qlik makes no commitment to deliver any future functionality and purchasing decisions should not be based upon any future expectation.
This article provides a guide on installing Qlik Replicate on a docker image.
sudo rpm -qa|grep dockersudo yum remove docker docker-client docker-client-latest docker-common docker-latest docker-laster-logrotate docker-logrotate docker-engine
sudo yum install -y yum-utils device-mapper-persistent-data lvm2 sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo sudo yum install --allowerasing docker-ce docker-ce-cli containerd.io sudo systemctl start docker sudo systemctl enable docker
/kit
" The /kit directory is a temporary folder used to store installation files. In the example below, the RPM file is areplicate-2024.5.0-357.x86_64.rpm
. Once the installation is complete, the entire /kit folder can be safely deleted.mkdir -p /kit/ar_docker
cd /kit
rpm2cpio areplicate-2024.5.0-357.x86_64.rpm | cpio -iv --make-directories --no-absolute-filenames -D ar_docker/ ./opt/attunity/replicate/addons/samples/docker/*
mv ./ar_docker/opt/attunity/replicate/addons/samples/docker/* ./ar_docker
rm -rf ./ar_docker/opt
cd /kit/ar_docker
cp ../areplicate-2024.5.0-357.x86_64.rpm .
./create-dockerfile.sh
/kit/ar_docker/Dockerfile
, from:
RUN yum -y install /tmp/areplicate-*.rpmto
RUN systemd=no yum -y install /tmp/areplicate-*.rpm
NOTE!
The parameter systemd=no is used to solve the below error you may hit during the docker build stage: This rpm is not supported on your system (no systemctl), exiting. error: %prein(areplicate-2024.5.0-357.x86_64) scriptlet failed, exit status 43
NOTE!
The password should not be empty and must be strong enough.
WARNING!
If you want to install ODBC Drivers, please make the corresponding ODBC Drivers rpm files are ready in this folder. If you want to skip the ODBC Drivers installation at present, rename or delete the file "drivers" in this folder.
docker build --no-cache -t johnw/replicate:2024.5 .where
/johnw/replicate:2024.5
is the image tag.Do not forget the last period "."
docker run -d --name ar --hostname cdc2 -e ReplicateRestPort=3552 -p 3552:3552 -v /dockermount/data/replicate/data:/replicate/data johnw/replicate:2024.5
Now Qlik Replicate is running in the docker and can be accessed from Qlik Replicate Console GUI.
Creating an OLE DB connection in Qlik Sense on-prem fails at the Test connection step with:
Test failed
To verify the connection is successful, first confirm the connection works using a UDL file. For step-by-step instructions refer to Test SQL database connectivity with test.udl file. Once you receive a Test connection succeeded with the UDL file, close all the prompts and open the file with a text editor. This file contains the new connection string.
For the test in our example, the only extra parameter enabled in the connection string that is not possible to put in the connection UI is Trust Server Certificate=True. All other values are set to empty or null and we exclude them.
With that information, you can now create a connection with the Engine API explorer:
Note: Make sure to keep the OLEDB CONNECT TO and the brackets in the connection string value.
JSON:
{
"handle": 1,
"method": "CreateConnection",
"params": {
"qConnection": {
"qId": "",
"qName": "OLEDBSQL",
"qConnectionString": "OLEDB CONNECT TO [Provider=MSOLEDBSQL19.1;Persist Security Info=False;Data Source=ServerNameorIP;Trust Server Certificate=True;]",
"qType": "OLEDB",
"qUserName": "user",
"qPassword": "Password",
"qModifiedDate": "",
"qMeta": {
"qName": ""
},
"qLogOn": 0
}
}
}
Limited options to add extra parameters to the OLE DB connection through the UI. The connection string field is only available in "Edit" mode, not in creation mode.
Test SQL database connectivity with test.udl file
Create a connection Method
Reloads fail with error:
A reload fails with:
Requested endpoint could not be provisioned due to failure to acquire a load slot: Your version of Direct Access gateway is no longer supported. Go to 'Data gateways' in the Management Console to download the latest version (DirectAccess-0001)
Upgrade Qlik Data Gateway - Direct Access to a supported version.
If you are already on a supported version of Qlik Data Gateway, rerun the reload. Likely, the services were still initializing when the issue occurred.
This message can occur when the Qlik Data Gateway version is not supported
Or it could also be caused if the services are starting when the request is sent, causing the version being misreported. This is usually an isolated issue with very few reload failures.
On the Servers page of Talend Administration Center, the status of servers listed shows as:
UP, but the MonitoringPort is misconfigured
When this error occurs, please check the following:
Verify the Runtime status and ensure that the MonitoringPort is not misconfigured in the TalendJobserver.properties files located in the <installation_folder>/agent/conf directory.
Typically, this issue arises when multiple Talend JobServer/Runtime are using the same port. If this is the case, modify the MonitoringPort so that the same Monitoring port is not being used by more than one process and then restart Talend JobServer/Runtime.
When attempting to install Talend on Windows or Linux, the following error appears.
Unrecognized VM option 'UseConcMarkSweepGC'
Error: Could not create the Java Virtual Machine.
Error: A fatal exception has occurred. Program will exit.
Note: The UseConcMarkSweepGC garbage collector option has been deprecated and subsequently removed in the latest versions of Java, starting from Java 14.
In general, this error indicates that you are attempting to run the installer in an environment with Java 15 or a later version. While you have specified Java 8 as your version, it is possible that this setting is not system-wide, but rather specific to your user environment.
Please ensure that the %JAVA_HOME% variable in the system environment is pointing to the correct version.
Additionally, kindly confirm that you are using a JDK version that is supported by Talend.
Besides setting and exporting the JAVA_HOME System Variable, it is also recommended to update the PATH environment variable to include the Java bin directory.
The information and script in this article are provided as is. For further customization and assistance, engage with our active QlikView or Qlik Sense app-building boards.
If you have a group of fields that are related, or if fields carry information that can be broken up into smaller parts that are relevant when creating dimensions or measures, you can create field definitions that can be used to generate derived fields. One example is a date field, from which you can derive several attributes, such as year, month, week number, or day name. All these attributes can be calculated in a dimension expression using Qlik Sense date functions, but an alternative is to create a calendar definition that is common for all fields of date type. Field definitions are stored in the data load script.
Note in case that you need to change the format / to customize the date you need to do it from the script, and most probably drill down to all levels, depending of course the object and what you want to accomplish.
Here is such an example of an autocalendar that can be used in any case:
[autoCalendar]:
DECLARE FIELD DEFINITION Tagged ('$date')
FIELDS
Dual(Year($1), YearStart($1)) AS [Year] Tagged ('$axis', '$year'),
Dual('Q'&Num(Ceil(Num(Month($1))/3)),Num(Ceil(NUM(Month($1))/3),00)) AS [Quarter] Tagged ('$quarter', '$cyclic'),
Dual(Year($1)&'-Q'&Num(Ceil(Num(Month($1))/3)),QuarterStart($1)) AS [YearQuarter] Tagged ('$yearquarter', '$qualified'),
Dual('Q'&Num(Ceil(Num(Month($1))/3)),QuarterStart($1)) AS [_YearQuarter] Tagged ('$yearquarter', '$hidden', '$simplified'),
Month($1) AS [Month] Tagged ('$month', '$cyclic'),
Dual(Year($1)&'-'&Month($1), monthstart($1)) AS [YearMonth] Tagged ('$axis', '$yearmonth', '$qualified'),
Dual(Month($1), monthstart($1)) AS [_YearMonth] Tagged ('$axis', '$yearmonth', '$simplified', '$hidden'),
Dual('W'&Num(Week($1),00), Num(Week($1),00)) AS [Week] Tagged ('$weeknumber', '$cyclic'),
Date(Floor($1)) AS [Date] Tagged ('$axis', '$date', '$qualified'),
Date(Floor($1), 'D') AS [_Date] Tagged ('$axis', '$date', '$hidden', '$simplified'),
If (DayNumberOfYear($1) <= DayNumberOfYear(Today()), 1, 0) AS [InYTD] ,
Year(Today())-Year($1) AS [YearsAgo] ,
If (DayNumberOfQuarter($1) <= DayNumberOfQuarter(Today()),1,0) AS [InQTD] ,
4*Year(Today())+Ceil(Month(Today())/3)-4*Year($1)-Ceil(Month($1)/3) AS [QuartersAgo] ,
Ceil(Month(Today())/3)-Ceil(Month($1)/3) AS [QuarterRelNo] ,
If(Day($1)<=Day(Today()),1,0) AS [InMTD] ,
12*Year(Today())+Month(Today())-12*Year($1)-Month($1) AS [MonthsAgo] ,
Month(Today())-Month($1) AS [MonthRelNo] ,
If(WeekDay($1)<=WeekDay(Today()),1,0) AS [InWTD] ,
(WeekStart(Today())-WeekStart($1))/7 AS [WeeksAgo] ,
Week(Today())-Week($1) AS [WeekRelNo] ;
DERIVE FIELDS FROM FIELDS [Date] USING [autoCalendar] ;
Click here for Video Transcript
The Qlik Sense Virtual Proxy has two different authentication options by default: Forms and Windows Authentication. The Windows Authentication Pattern setting determines which one is used.
The setting is accessed through the Qlik Sense Management Console > Virtual Proxies > [Virtual Proxy] > Authentication
See Figure 1:
When a client connects to Qlik Sense, the browser sends a User-Agent string to as part of the standard connection process.
The Qlik Sense Proxy service reads this string and checks for the presence of the value found in Windows Authentication Pattern. If the string is present windows authentication is used and if the browser supports NTLM the user may be automatically logged in. If the automatic login fails they will get a pop-up asking for username and password.
If the Windows Authentication Pattern value is not found then we fall back to forms authentication where instead we use a form and always require a username and password for login.
The default value for Windows Authentication Pattern is "Windows", which is present in all windows browser user-agent strings. If you change it to say Chrome or Firefox instead only those browsers will be offered Windows authentication. If you want to use Windows Authentication on all browsers try setting it to another string found in all user-agents (besides Windows), for example, "Mozilla".
The Qlikview server has been set up with Kerberos authentication. When navigating to the QlikView Management Console the following errors are shown:
Login Failed
This web page cannot be displayed
Environment
Kerberos authentication is not supported in the QlikView Management Console.
For information regarding the AccessPoint, see Kerberos support using QlikView Webserver