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We are facing an issue with one of our clients in which we built out a UAT environment to promote proper development but have come across an issue where we have a fully built TX Semantic Layer on the production environment, but we do not have it built out for the TX UAT environment. The reason behind this was because the test Qlik Sense environment was not available initially, and we could not successfully execute packages on the TX uat environment, so we decided to work without it on TX uat. Now that we have an operational test Qlik Sense environment, we want to export the semantic layer from TX production to TX uat environment. Is there a way for us to do this in TimeXtender? We are trying to avoid large amount of manual work to build this out on the TX uat environment and we dont want to export project from Prod to UAT as that will override all our work in UAT environment. Prod TX Semantic LayerUAT TX Semantic Layer
When we creating a numeric field in a MDW table, TX suggets use a numeric(38,6) for the data type.When the field it’s translated to the semantic model it’s detected in TX:But in the model:And one of the best practice rules says “Do not use floating point data types”.How can I follow this rule?
This article explains the process of adding tables to Deliver instances. By providing only the most relevant data to each department or business unit in the form of a data mart, data consumers do not have to waste time sorting through all the data in the warehouse to find what they need.Adding a Table to a Deliver instance Adding a Data Selection Rule to a Table Adding a Hierarchy to a Table Setting a Default Date Table Adding a Table to a Deliver instanceDrag a table from a data area to Tables under the relevant Deliver instance. If the table name is to be changed, type the new name in the Name box. In the Description box, type a description of the model for use in front-end tools. Note: This setting applies to SSAS Tabular endpoints only. Select the fields to be included. (Optional) In the Hidden column, check the box for any fields that are to be hidden, which means they will be added to the Deliver instance table but will not be shown in the endpoint. Click OK to add the
Dear Reader,Dynamic Row Level Security (DRLS) can be implemented by defining a table that contains 1. values for the column to be secured; 2. defining the users email-addresses.With this specific case, two DRLS columns are defined.This is shown as depicted in the first picture below:The first column (_Retailer_Key).The second column to be secured is also dynamically defined (_CountryAccess_Key):This works, however suppose I have 4 retailer country combinationsCountry Retailer UK YourOwn NL YourOwn UK Theirs GE Unsere And the _CountryAccess_Key that was defined by DRLS was “UK” and the Retailer was YourOwn, then the Result is that the rows with the red font is returned. This is just (_CountryAccess_Key OR _Retailer_Key). However that’s not the result required. The result should be (_CountryAccess_Key AND _Retailer_Key) as depicted below.Now the result only returns one row (depicted in the red font) Country Retailer UK YourOwn NL YourOwn UK Theirs GE Unsere
Hi,I have created a semantic model in our development environment with a global database,In development the model is named Sales DEV and in production it is named Sales.When I make changes to the model and do a multiple environment transfer, the data in the production model is deleted and the users cannot use the model before I have executed the model in the production environment.I expected a creation of a offline model, which could be executed at a later time. Instead our users cannot access data in a period of time, which is unacceptable to our business.How can I avoid this, so our users do not experience down time on the production model? Kind regards,Rasmus Høholt
Is it possible to use CSV endpoint to Blob storage?How can I setup it?
We using multiple semantic layers, and adding more in the future. All semantic layers will probably need a calendar dimension and some other dimensions are also shared between layers. Is there any 10x method to copying between semantic layers, as it seems quite ineffective to setup:sort bysummarize bycategoryn-times on the same table
Hi,The current Data warehouse has tables with two different DB schema's. There are already PowerBI Dash-boards using these schema's. Now I want to use the Semantic layer to copy the data (Data Export) to a SQL serverless DB. Everything works fine but I want to override the schema name. In the Semantic layer I have not find any options to change this. Is that correct or is there a way like in the Dataware house layer to change the schema?
TX: 20.10.39SQL Server: 2019Endpoint settings:Windows authentication hostname matching case https connection over the default proxy I am trying to push a Qlik Sense Enterprise endpoint from TimeXtender and having trouble getting the deploy successfully running. Testing connection to Qlik Sense is successful, when I Deploy I get an error when TX tries to create a new Data Connection. I see this issue pop up sometimes in other deployments and can usually overcome by manually making a Data Connection to the MDW database and giving it the same name TX would use: MDW_SLQV . In this case, I get the same error when TX tries to modify the connection.TimeXtender does create the app (and is owner of it) and can successfully reload the app, it just doesn't insert the script. If I copy-paste the TX Qlik Script into the app it works fine. As neither TX nor Qlik actually log what is going on, I cannot see what about the connection string is causing the error.
Until I have started using TX, I am setting up my PBI import datasets using incremental update as you can see in:https://learn.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-overviewNow, in TX, how can this be accomplished?
I’ve created a custom field in a semantic model table: But in PBI using a Mixed storage model, it doesn’t works, but if I create the column directly in PBI desktop, it works:
In the semantic model design it’s very common the need to implement role play dimensions.Do you have some guidines about this?
Whwn you define a measure, like a Sum: The internal DAX expresion it’s wrong (but it works) as you can see with tabular editor:
It would be really beneficial if functionality was added to the Semantic layer, such that SSAS Tabular partitions could be defined within the tool.Ideally, one would be able to right click on a table within the semantic model and choose partitioning, which would allow you to pick a field, like a Date field and configure it so that partitions on say Year, or Quarter, or Month, or Week would be dynamically created with each deployment of the tabular model. Additionally, it would also be great if once TX had visibility of the metadata of the partitions it has created, it would be extremely beneficial if we could then decide which partitions are executed in a given execution package.A little background for this request, we are in the middle of a major AX and data warehouse project, and we are building out quite a few SSAS tabular models to be consumed by Power BI. Unfortunately, with the current setup of the semantic layer, we are having to consider managing tabular models outside of Time
Hello! I'm trying to resolve an issue where OLAP fails to execute during ETL processing due to a canceled transaction attempting to acquire a lock. This is occurring on a QA instance hosted on a dedicated server that doesn't have any other ETL jobs processing. I'm seeing a pattern of failures occurring on particular days of the week. However, the error message sent in the ETL email isn't specific to the root-cause. Also, I've perused 3 online resources that give explanations on the causes and remedies for such an issue, as I've gained understanding thereby that this matter occurs due to insufficient "timeout" settings. But those tactical solutions pertain to remediation via the traditional SSAS development capacity, and such do not apply to the TX DWA software For I don't see a way within TX DWA to change the settings for CommitTimeout and ForcedCommitTimeout. Does anyone have any insight on how to rectify this issue? Your input would be greatly appreciated. Thanks and have a g
Is there any method for specifying encoding hints for SSAS in the semantic layer? If not, this could be useful and very easy to implement. { "name": "Sales Amount", "dataType": "decimal", "sourceColumn": "SalesAmount", "formatString": "\\$#,0.00;(\\$#,0.00);\\$#,0.00", "sourceProviderType": "Currency", "encodingHint": "Value" }
Hi,During deployment of the semantic model in TimeXtender 6024.1 an error occured.Finished executing instance 'SSL Test' Execution Package 'Execution Queue Default'Execution failedStart Time : 1/10/2023 12:05:34 PM End Time : 1/10/2023 12:05:36 PM on server: vm-tx-prod-01-Execute Execution Package Execution Queue Default 'Failed' Object reference not set to an instance of an object. Details: Object reference not set to an instance of an object. Module: TimeXtender.Semantic.Logic System.NullReferenceException at TimeXtender.Semantic.TOMEndpointDeployExecute.GetColumn(SharedSemanticLayerField field, Table parentTable, SharedSemanticLayerEndpointTOM endpointTOM, Dictionary`2 columnCache) at TimeXtender.Semantic.TOMEndpointDeployExecute.CreateModel(SharedSemanticLayerEndpointTOM endpointModel, Boolean isDeployment, Boolean forCheckSum) at TimeXtender.Semantic.TOMEndpointDeployExecute.Execute(SharedSemanticLayerEndpointTOM endpointModel) at Tim
Is it possible to or are there any limitation on using composite models in PowerBI in unison with the Semantic model created on TX? Regards Mads
Hi Is it possible to use DAX Studio og Tabular Editor on Semantic models?Regards Mads
Hi all, We recently started developing a new data platform using TimeXtender with Tableau as a visualization tool. We are currently determining how to setup our endpoint in TimeXtender for Tableau as we have several options, each with their pro's and con's. Im wondering what choice others made and if maybe there's something we haven't thought about yet while trying to make this choice. As we see it now we have three main options: - Multiple .tds files, one for each fact table. As Tableau requires all tables to have a relation with eachother it is not possible to have a .tds file endpoint with all facts as not all facts relate to all dimensions. Pro's: smaller, efficient sources with good manageable security. Cons: Can become difficult to maintain with lots of .tds which share dimensions, for example when an attribute is added to a dimension this has to be done multiple times. When using multiple .tds sources in a Tableau sheet there's no way to link shared dimensions and thus fltering
Is there a way to create a many to many relationship in the Tabular model.I have one tableDataWith Fields Project , Amount I then have a project Device TableWith fields Project, Devicee.g. A, 1A,2A,3B,1B,2 I then have a project tableWith fields Project And a device tableWith fields device The issue is I want to see the data table by device and project. The main data table contains 32 millions records and the project device table contains 10,000 combinations so a workaround by creating a new fact table by creating a full outer join on the two tables might be a little inefficient , thanks
Essentially, I am currently creating csv files from extracts of many TimeXtender tables. Let suppose the data in a table is a column which identifies each row by country and the table contains many rows for each country, then I would need to create a file for each ISO country that existed in the table. I know how to do this by hand, but am wondering if there is a clever way of automating this in TX without having to build an SSIS package?Thank,Greg
I am able to deploy the semantic model but when I execute it I get the following error message: The current operation was cancelled because another operation in the transaction failed. Details: The current operation was cancelled because another operation in the transaction failed.System.Exception Not much do work with Im sorry to say but this is what I get. This is the TXDictionary project and it has worked before i moved it to a new server. The rest of the project executes fine (ODX, DSA and MDW).
Is it not possible to create a semantic model with no endpoint? For me, the beauty of the semantic models is that I can quickly create views for 'data marts' where I can do data selection rules without having to write a single line of code. In previous versions of TX I could use the Qlik (Deprecated) semantic model for this because it didn't need an endpoint in order to deploy the views. But the newest version(s) of TX does not support this. So what if I'm moving entire corporation's data visualizations to Qlik SaaS (basically Qlik Sense in the cloud)? Can I no longer use semantic models?
Currently we are facing a problem with memory resources when we're trying to do a data export. When writing a huge file, 4 gb, the memory allocated to this TX process takes up more resources than we would like (> 22gb of RAM). Is there any possibility for breaking up the data export in partions, such that the process takes up less RAM? I would think there would be some kind of option like the data batch cleansing in the table settings, but I can't seem to find it anywhere. Within the data export we use the TimeXtender File Export 2.0.0.0 provider.
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