TimeXtender Desktop Q&A

HiIn an effort to resolve intermittent ODX errors whilst retrieving data back from Oracle JDE tables I am trying to understand whether reducing the ‘concurrent execution threads’ setting in the Oracle data source connections could be a potential solution.I have multiple Oracle connections set up in TX, with each connection pulling a subset of tables (e.g. all the JDE master file tables in one connection, all the transaction-related GL tables in another etc). All these connection transfer tasks are then wrapped up in a TX job scheduled to run each evening.The ‘concurrent execution threads’ default value across all the Oracle data connections I had set up for this was ‘8’.My thinking was that if TimeXtender is running multiple data pulls simultaneously then this could be causing resource contention issues on the source Oracle server, and thereby intermittently triggering data pull failures with generic error messages that don’t precisely indicate root cause.I have since changed the ‘conc

I just upgraded TimeXtender to the latest versions for a client. (7017 and 7047).In doing so most of the datasource stopped working unless I upgraded the datasources to the latest versions. I decided that I should just do them all to be consistent. This has broken my CData Rest sources because the new drivers are not installed! This is a massive issue, and i was not warned in any significant way about this particular issue in the upgrade.I need to get the new CData drivers, I am not in a position where I can transition multiple CData Rest sources as part of an upgrade! This is a production issue and I need to resolve it ASAP!

Hello Timextender and communityI’m looking to understand how Timextender Classic deals with collumn statistics that aren’t tied to indexes. Our project is built on Azure SQL DB.Obviously TimeXtender automatically rebuilds indexes as part of its data cleansing procedures. However, rebuilding indexes only updates statistics on the indexed columns—not on the rest. Performance  relies heavily on accurate statistics for query optimization (especially when MAXDOP isn’t explicitly set), this leaves me wondering: Does TimeXtender have any built-in process or configuration to update statistics on non-indexed columns? If not, are there recommended best practices for managing these statistics in a TX solution—either as part of the deployment or as a post-process step? After dealing with a sudden drop in performance, we’ve observed performance improvements after manually updating statistics in the entire project. This takes 16 hours though, so I’d like to ensure we’re not missing any built-in ca

HiOver the weekend one on our ODX jobs failed with the following error; Executing table [PRODDTA].[F0101]:failed with error:Oracle.ManagedDataAccess.Client.OracleException (0x80004005): ORA-50000: Connection request timed out   at OracleInternal.ConnectionPool.PoolManager`3.Get(ConnectionString csWithDiffOrNewPassw, Boolean bGetForApp, OracleConnection connRefForCriteria, String affinityInstanceName, Boolean bForceMatch, Boolean bAsync)   at OracleInternal.ConnectionPool.OraclePoolManager.Get(ConnectionString csWithNewPassw, Boolean bGetForApp, OracleConnection connRefForCriteria, String affinityInstanceName, Boolean bForceMatch, Boolean bAsync)   at OracleInternal.ConnectionPool.OracleConnectionDispenser`3.Get(ConnectionString cs, PM conPM, ConnectionString pmCS, OracleOpaqueString securedPassw, OracleOpaqueString securedProxyPassw, OracleConnection connRefForCriteria, Boolean bAsync)   at Oracle.ManagedDataAccess.Client.OracleConnectionInternal.OpenInternal(Boolean bAsync)   at Oracl

Good Day,We have a client that is on V20 that would like to incorporate some Sensitive Data within their TX environment that some of the TX Developers should not have access to. As far as I am aware, if you have access to the TX Repository then the developers can open all projects.How would I handle the solution of the Sensitive Data in TX?Kerry

I’m looking for a TimeXtender Fabric Lakehouse (pyspark.sql) expert 😀I’ve got a SQL transformation that selects the maximum value of 10 columns:(select max(val) from (values ([Column_1]), ([Column_2]), ..., ([Column_10])) as [Values](val))How do I achieve this in a Prepare Lakehouse custom transformation?I could build the mother/father of all massive case statements, but I’d prefer something simpler and more elegant … if possible!?

I have a client that wants to explore a significant rework of their Prepare instance. They want to duplicate their existing Prepare instance in Dev to create a sandbox instance. Is there a recommended approach to achieve this? They are using version 6898.1

Does anyone know exactly what happens when we ingest data from e.g. a SQL Server into Fabric Lakehouse? It seems concurrency impacts performance (more can be less) but there might also be Fabric assets in play that could act like bottlenecks, and which requires “capacity” management.Any best recommendations/practices in this space?

I am loading a table incrementally into my ODX storage in an Azure Data Lake, where new Parquet files are added daily. This approach is because the source only holds data every two weeks, and I want to maintain a log in the ODX. The Parquet storage is very compact.However, for downstream analysis, I only need to retrieve data from the last 1 to 2 days into my prepare instance. I am using a data selection rule on the mapping, and I have also tried applying it directly on the table. Both approaches take a very long time to complete (+1 hour), whereas running the same query on the source SQL database filtering for 2 days of data completes in about 10 seconds.I suspect that the prepare instance is scanning through all the Parquet files, including older days, causing the slow performance.My question:Is there a way to configure the TX prepare instance to only process the most recent X Parquet files (e.g., the last 2 days) instead of scanning all files? This would significantly improve the se

Version 7026.1 - Ingest into LakehouseI’ve got a SQL data source where some column names contain spaces. This causes the TX SQL connector (23.0.3.0) to throw the following error when I try to ingest data into a Lakehouse:Executing table dbo_tx_profitcentreinfo:failed with error:Found invalid character(s) among ' ,;{}()\n\t=' in the column names of your schema. Please enable Column Mapping on your Delta table with mapping mode 'name'.You can use one of the following commands.If your table is already on the required protocol version:ALTER TABLE table_name SET TBLPROPERTIES ('delta.columnMapping.mode' = 'name')If your table is not on the required protocol version and requires a protocol upgrade:ALTER TABLE table_name SET TBLPROPERTIES (   'delta.columnMapping.mode' = 'name',   'delta.minReaderVersion' = '2',   'delta.minWriterVersion' = '5')I can read what it says 😀 but I thought I’d ask the Community for advice. Has anyone encountered and resolved this issue? If so, what do you recommen

Hi,TX ver: latest I am getting an error when import metadata or doing table flattening. This worked fine earlier, before 3 june. Works fine using Postman. Any suggestion what I am missing? “One or more errors occurred.Failed to execute request for endpoint 'Get Charge Points'.One or more errors occurred.Cannot send a content-body with this verb-type.System.AggregateException: One or more errors occurred. ---> System.Net.ProtocolViolationException: Cannot send a content-body with this verb-type.   at System.Net.HttpWebRequest.CheckProtocol(Boolean onRequestStream)   at System.Net.HttpWebRequest.BeginGetRequestStream(AsyncCallback callback, Object state)” /Bjørn A.

I am fetching refresh logs from power bi using the following endpoint: https://api.powerbi.com/v1.0/myorg/groups/{groupid}/datasets/{id}/refreshes(https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/get-refresh-history-in-group#refresh)In my use case, the groupid is hard coded and I iterate over the datasetid {id} using dynamic values FromEndpointTable.The setup for this is the same as in this guide: My problem is that the dataset id is not included in the payload for the refresh log endpoint, so I have no way of knowing which power bi dataset has been refreshed.Could I somehow include the dynamic endpoint as a field in the result set? Or is there any other way to solve this?Best regards,Pontus B

Somebody can explain how to use the custom editor feature?Is it possible to use SSMS to edit the t-sql scripts?How must be setup it? 

HiLooking to quickly replicate an existing data pipeline in a new prepare instance. Is it possible to clone a table in one prepare instance into another, or somehow export a table from one prepare instance and import into another?I cannot see any option, so my guess is no, but just thought I’d ask.RegardsPaul

Suddenly all the excel sheets are not loading anymore however some of them no one touched 6 months ago.the error is:Executing table excel_sheet:failed with error:Exception Type: System.ExceptionMessage: Invalid column count             Stack Trace: at DataStorageEngine.DataLakeGen2.DataLakeGen2Transfer.<>c__DisplayClass41_5.<UploadData>b__14(DataTable dataTable, Partition partition)                          at DataStorageEngine.DataLakeGen2.DataLakeGen2Transfer.UploadData(ADLSGen2APIManager api, DataSourceModel dataSourceModel, DataLakeGen2ExecutionMethod executionMethod, Action`2 writeExecutionLog)                          at DataStorageEngine.DataLakeGen2.DataLakeGen2StorageEngine.<>c__DisplayClass35_2.<TransferDataAsync>b__7(DataLakeGen2ExecutionMethod executionMethod)                          at DataSourceEngine.Custom.CustomSourceEngine.InvokeDataSourceExecution(Action`1 action)                          at DataSourceEngine.Custom.CustomSourceEngine.RunExecu

Dear Sir,Our client is running TimeXtender 6963.1.So want a rowcount, count(*) on our tables loaded in de ODX.Our ODX is configured with ADSL (Azure Datalake Gen2 Storage).So we want to use the ODX TimeXtender Parquet Data Source connector (23.1.1.0 64bit).Is it possible to run a count(*) query to our tables when we setup this connection to our ADSL?We need to know how many records are loaded in all of our tables.We have a lot of incremental tables, so we worry of all the increment files in the lake. Do we need to configure some sort of a aggregation ?Is there documentation available how to configure this ? The connector has a lot of options, we don’t know all the details.Hope somebody has some experience with this Parquet connector.Thank you in advance for looking into this.Regards,Arthur

Hi,We've updatet our Data Integration version from 6766.1 to 6963.1. Which means we had to update our outdated providers. So we followed the steps mentioned in this post Change data source provider | Community (timextender.com).This results in an error when we try to full load changed data source. It keeps giving is the error: “The schema …. already exists on the SQL storage and cannot be used” Which actually means we can’t update our providers/ data sources. We have to create new ones en have to map all our tables in de odx. Anyone else facing this problem and have a solution for this?

I have a table X in the DSA layer from TX and I can't find the script to get the right output.  There is a field FCL that possible have multiple records with different YearFrom and YearEnd. FCL   YearFrom   YearEnd1        2010           20201        2021           20502        2010           2050  I need a data selection rules that only imports from the ODX layer the FCL with the highest YeardEnd group by FCLFCL   YearFrom   YearEnd1        2021           20502        2010           2050  Is there anyone who has a suggestion. The output from is table is userd as lookup table for another table in the same DSA layer. 

I'm currently loading Parquet "tables" in TX Classic with the following setup: Using Synapse Serverless to read Parquet files and expose them as external tables Connecting via SQL Server authentication This works, but I’m looking for a better approach.Is there a way to read Parquet "tables" directly in TX Classic? The Enhanced Data Source seems limited to reading or aggregating files, not treating them as tables.Alternatively, could I replace Synapse Serverless with Fabric Serverless? The main blocker is authentication—TX doesn't appear to support SQL providers with service principal (OAuth) authentication, only SQL Server authentication, which we’d prefer to avoid.Any suggestions, recommendations or workarounds would be appreciated. 

Hello,TimeXtender version 20.10I have a customer that previously had only one project (lets call it Project A). However they have now taken out certain parts of that project into new ones (Project B and Project C).Previously to be most effective we could run everything in project A in one execution package. Now with there being 3 projects in total this can’t be done (as far as I know). B + C needs to complete before project A can run. We want to run it as part of one scheduled trigger so the only way I have found to do it is as follows:Project B runs => when done triggers project C package with external step => project C package runs => when done triggers project A package with external step.Most optimally would be for B + C to run at the same time and then trigger A, but we do not want to create a complex custom solution with command prompt/powershell scripts or building logic off the repository which is the only way I can think of achieving that.Anyone have a similar case th

Hello,I am trying to setup an endpoint to PowerBI Premium in version 20 (20.10.58)  The connection is setup as below, and it tests OK (See pic).When I Deploy I get the error:Failed to save modifications to the server. Error returned: 'Either the database with the ID of 'TXFinance1' does not exist in the server with the ID of 'host002_datasets-231', or the user does not have permissions to access the object.The Semantic model is created fine in PowerBI, but nothing inside of it.Is there a setting I am missing? The stange thing is that it appears to work for a colleague in the same workspace using the same app credentials, but not on my machine  Many thanks,Tim

This is a simple Deploy and its been running for almost 20 minutes.Whats wrong here?  

Hi! We are currently setting up TimeXtender with Snowflake and have a bit of an issue when it comes TimeXtender not having the capability of managing the ODX in Snowflake (internal stage).  As you know an external stage is needed via Azure Data Lake Gen2.  The issue for us is that we would like to use private endpoint when creating this data lake in Azure but that requires business critical subscription to Snowflake which is 30 percent more expensive.   Are there any plans/timeline for when TimeXtender will be capable of handling the Ingest instance in Snowflake and if so could you please give a rough estimate on when that might be available?  We need to make some decisions on our end on how to proceed and would like to know the answer before we move forward.

As title suggests, I wonder if anyone in this community has experience with ingesting TX with the data source Adnamics and their API. Thanks in advance!

Hey, I use the REST connector to consume a CSV file. In my query parameters I got one for auth key. So when I try to load the file a get an error and the reason is that parameter get encoded (% → %25) .  How can I avoid encoding in the query? /Bjørn A.