TimeXtender Desktop Q&A

Hi team I was recently working on a table where I added a hash field and configured it for incremental loading. However, the initial deployment failed because the table was missing the required column for the incremental process. When I attempted to redeploy to fix it, I hit a roadblock: a duplicate key error in dbo.DataFields with the value (ea41fe97-e408-4504-9164-239dfcdee390, 148, 99999999).  

Hi,I have a customer working with TimeXtender 7150.1 connected to Snowflake.I have a .csv data-source connected through the Ingest. The ingest settings have a number of header rows removed. But in the data received, I have Totaal-rows that I want to skip or filter out.The option to “filter rows” by right-clicking the data-source in the Ingest area is not available for this source: My next option would be to add a data selection rule to the table connected to the ingestion. But that has no effect: my result table has two rows (one from each .csv source) with Totaal.The above data selection rule seems not to be used. The only thing I can do to get it working, as far as I am aware, is to manually add a line of code, using the “Custom Code” option:But I was told / had learned that using the data selection rule, would automatically change the transformation script.I am not a fan of this solution, as it is not immediately clear to a new user (or to me in a year time) that I have changed the

Hi team, I am encountering a timeout issue when moving large tables. The problem seems to be originating from the cleanup stored procedure (clean sp), as smaller tables are processed without incident. Could you please look into this issue?  

I’m migrating a large SQL Dedicated Pool data warehouse to Fabric Lakehouse.I’ve run into Fabric’s workspace limit of a thousand items.What’s the best-practices workaround?

Hi TX Support, We're encountering a strange issue. We've setup an deliver instance of the REST API endpoint type. The model contains a dimension table. In the MDW layer this table contains 7844 records. Now when we pull the data from the REST endpoint we get 7844 as well, however the content is incorrect. Instead of the 7844 individual records we get 6974 records, 870 of those are duplicated and consequently 870 other records are missing. Example:DIM_Location TableLocation, Code, DW_Id Original MDW data LocationA, 123, 1LocationB, 345, 2LocationC, 678, 3 REST dataLocationA, 123, 1LocationB, 345, 2LocationB, 345, 2Missing Record in the REST dataLocationC, 678, 3Now I did tried everything I could think of in terms of troubleshooting. Everything is deployed, executed, refreshed and running. Going through the data I made an important observation. The set that is duplicated all are records that reside on the first page. They are then duplicated across the remaining pages. See the screenshot

Hi all,I'm working in TimeXtender (TDI) and ran into something I can't quite figure out. When I create a new schema in my Prepare instance, I want to assign it to a table that already exists in that same instance. The schema does appear as an option when I try to link it to the table. However, it gives an error upon deployment (of that table), at least until after I deploy the instance. Is this expected behavior?Or am I perhaps creating them in the wrong order or place? 

Hello,I have a question about the RAW tables in TimeXtender. I noticed that the data types of the fields in the RAW table change when I modify them in the tool. I was under the impression that RAW tables should keep the original data types from the source, since this would be “RAW”.I ran into trouble when loading transferring from the ODX. I changed the datatype of a field and even added a transformation that resulted in a CAST in the transformation view. However, I got an error message saying: The given value of type String from the data source cannot be converted to type float of the specified target column.This should not be, because the source contains only data that is/should be convertible to a float. The Raw table has no data, which I find strange. Changing the fields data type to float has also changed the datatype of the Raw table. I would expect the Raw table to always have the same datatype as the source and that the changing of datatypes is handled in the transformation vie

I have an issue, and i have not been able to identify if this is a TX issue or a DWH issue.This is how TX is set up:I have a MS PowerApp that writes to the APP database.I can see that the records are in the DWH, like in the table below.  I have confirmed that the entetried are in APP-stack.At 07:30 in the morning, execution package runs, then this happens:Meaning, the DW_ID that were previously Bob’s and Marlen’s are now overwritten by Kim and Tom.There are no traced of DW_ID 101 and 103 being registrered by Bob and Marlen either in ODX or in DSA.I dont know if it happens before the execution job runs, during or after. I have been scratching my head for the past couple of weeks.

Hi community,I created a role in the MDW and added Grant permission on one specific database schema. This schema contains some tables and some Stored Procedures. This role need to be able to select data in the tables and execute the stored procedures. I created my Object Security Setup using these settings:  When I login using SSMS (using the user in the role), I see the correct tables and I'm able to select data in the tables. But I'm not able to see the stored procedures. When I check the permissions on the ‘ExcelAddin’ database schema. Only the ‘select’ permission in granted. Is it possible to grant permission for ‘execute’ as well? Using TimeXtender?

Hi,I have a client that uses TDI 7026.1 and i need to install it on another computer, but on the web I can only find 7050.1. Any possibility to find the earlier version somewhere?/Leo

I’m getting a Lakehouse notebook execution timeout in v7142.1 after exactly 10 minutes.My connection and command timeouts in the TX portal are 1200 and 7200 seconds, respectively, for both Ingest and Prepare so that’s not the setting I need to change … and the workspace’s Spark timeout setting is 20 minutes so that’s also not the one.I’ve copied the relevant part of the error message below.Does anyone know how and where to increase the notebook timeout setting?(the Microsoft links aren’t that useful from a TDI perspective, I think) Start Time : 10/15/2025 2:23:08 PM End Time : 10/15/2025 2:37:01 PM on server: V171D008S -Execute Execution Package Default 'Failed'      An error occurred while calling o5570.throwExceptionIfHave.: com.microsoft.spark.notebook.msutils.NotebookExecutionException: Timeout when exe cell - 15 in notebook TimeXtender_PrepareKOMBI_TABLE_dsa_INVENTTRANS, code length = 39808 and it costs 600.001s. You can set timeout parameter to mitigate the issue. Please check th

I am having issues with decimal numbers in my Power BI model created with TimeXtender XMLA endpoint (version 7026.1).No matter the precision of my datatype on SQL server it seems like all values are forced into a rounded 4 decimal size. Is there a setting hiding somewhere to prevent this behavior?Below are examples or test data to demonstrate the behavior.Inspecting the model with tabular editor it seems all decimal fields are stored as fixed decimal rather than the expected double Test data Result in Power BI 

In my TimeXtender Data Integration (Ingest) instance, data sources seem to be listed alphabetically. I’d like to set a custom order instead. I tried drag-and-drop, but it didn’t work, and I don’t see any option in the portal to reorder them.Is there a way to change the display order (e.g. sort settings, or another workaround)?If this isn’t supported, a confirmation would also be helpful. Thanks! 😊 

Need help with TimeXtender data transformation issue. We're pulling sales data from SQL Server but getting errors during the transform step. The source has decimal values but TimeXtender seems to be reading them as text.Also need to set up a simple incremental load based on ModifiedDate field. Should be 2-3 hours remote work to fix the data types and configure the incremental logic.Need working by Tuesday for our weekly data refresh.Please Contact Me Asap.

Hello,Is it possible to Extract data from an existing Lakehouse into a Prepare instance without needing to move it into the TimeXtender Ingest instance? The use case is to avoid replicating the data again, if the customer has already ingested data into a data lake or Lakehouse.Thanks in advanceTim

Hi, When trying to replicate the use of “Importing OpenAPI” from this TimeXtender Tuesdays video i get bellow Time Out error:  I am wondering if i am doing something wrong, or one could replicate this issue aswell.Regards,Devin

Hi,TDI ver 7026.1TimeXtender Ingest Service Configuration 7017.1 We are using Azure Datalake Gen2 Storage Container as our Ingest instance. I have set a load job (incr_load) from a sql server database to the ingest instance.This works fine during the day. When get into the next day the same job does a full load on my tables in the database. Why is this happening?  I really need to solve this asap :-) regards,Bjørn A. 

I have two tables with no unique identifer. There a two posts that mentions NEWID() as a way to create a unique identifier, so it seems that it can be used:How to add a default value to a unique identifier field – TimeXtender SupportHow to Add a Default Value to a Unique Identifier Field in TimeXtender Classic | CommunityI have created a filed in each of my table and made it Primary Key.My question is:What happens if we Deoply and Execute on DSA table with a column that creats uniqe id with NEWID()? Does it create new IDs that are different, or does the table keep the IDs generated before? 

We are using the provider Azure Data Factory - SQL Server for a lof connections where the instances for these connections contains almost the same data but each time another customer. What we have noticed when the incremental load is setup to look at a datetime field called DW_MODIFIED_date. it will never load that 1 record which is in the table. When I exclude that table from the incremental load then I have 1 record loaded.When I include the table again in the incremental load it is removing the first folder from the previous load and don’t write a new file because it was not updated.When I remove the folder from the container and I incremental load that client table again I get no record at al while it should be the first load. Even if the incremental load is on and there is no file  then I expect to have in the initial load the data.

I’m planning to change a history table in DSA into an incremental table without removing the history and I want to make sure that I understand some of the settings correctly. The ideal outcome for me is the following:New data added incrementally without the history being maintained Regarding the old history: I want to keep all rows with [SCD Is Current]=1 I don’t want to keep rows with [SCD Is Current]=0 Here are some questions I have about options in Table Settings > Data extraction :Does it make sense for this scenario to have the boxes checked for “Truncate raw table before transfer” and “Empty raw table after data cleansing”? What is the best approach for me to take with the delete options (“Don’t handle deletes”, “Use soft deletes” and “Use hard deletes”)? If I’m fine with new rows being overwritten can I then create some kind of incremental rule to make sure that old history is changed (or at least not for [SCD Is Current]=1)?Thanks,Árni

We are unable to open our instance as we are prompted with the following error message: TX Version 7047.1 

Hi there! We have had a small problem recently whereas Table A is on the staging/DSA layer and contains the following columns: Column 1 (PK)Column 2 (PK)Column 3Column 4 … etcNow this table has three sources - three Business Central instances. In two of the sources the original order of columns is Column 1, Column 2 but in the third source the order is Column 2, Column 1.We get the following error when incremental load is enabled:  "TIMEXTENDER COPY DATA LOOP", "Failure happened on 'Sink' side, Column 2 contains an invalid value. We have been able to manage this error previously by ordering the columns in the same way as in the source.However, now the sources have different orders of the columns and therefore not possible to use that way to get around this. Any ideas or suggestions? 

Hello, TimeXtender 20.10.67 with ODX. We have a source (azure datalake) that will geta json file dumped with the following format table.name/”date-when-file-dumped”. The files will be15million + rows and dumped atleast once a week.What I want to achieve is for the connector to only extract the latest file and have it dynamically change. I can’t figure out a way to effectively do this in the connector, as the uri connection string wants to point to a specific filename or take everything in a concat.I can’t figure out a way to change the URI dynamically and the only option I can think of in theory is concatenating all the json in the connector, including resourcecolumns and doing a custom query table on the connector with a DSR rule based on the MAX filedate.However, in a year or two when there will be 50+ files (750 million rows in theory with concat), I am not sure how the performance or scalability of that solution will be. Anyone have done something similar or have a better idea how

Hi all,Since about a week ago, we’re seeing random but frequent (almost daily) failures in ODX extract tasks from two sources: TimeXtender SQL Data Source (version 22.0.2.1) (SQL database) – runs from 05:00 to ~05:45 (45 min) UTC. Error: Cannot access a closed Stream (HttpRequestException). TimeXtender SQL Data Source (version 22.0.2.1) (Synapse Severless SQL pool)  – runs from 05:00 to ~05:00:30 (30 sec) UTC. Error: System.TimeoutException: The operation has timed out. Manual retries later in the morning succeed without issue.The Synapse serverless SQL pool is pre-triggered ~15 minutes in advance to avoid cold start, and both the ODX environment and the data sources have generous timeout settings.We use Azure Data Lake Gen2 storage as our ODX storage.Any idea what might be causing these recent failures?Thanks,sva

Hi,I need to add authorization basic auth (username, password) to every endpoint in my rest api(Tripletex).I have added dynamic values from the endpoint “TokenSessionCreate Create” creating a session token.This token is my password and using a fixed username to every endpoint.In my endpoint “LedgerPosting” am using the section “Override Headers” to add the token to the “Authorization” and the value equal “Basic user:pwd”. Well, I cant get this to work.I proberly nedd to convert usr:pwd to base64 encoding….Does anyone have any suggestion?best regards,Bjørn A.