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AstridM
Helper I
Helper I

Getting error: Internal Query Processor Error

As part of our migration to fabric, we are trying to get out of synapse.

 

Since Microsoft deprecated export to data lake from dynamics 365 F&O, we have been trying to mirrow our process and those include the queries the entities use in F&O (I do understand that they are large queries but I did not write them, microsoft did).

 

We are able to run those queries on the serverless, but when I try to run the same queries on fabric dw I get:

 

Internal Query Processor Error: The query processor could not produce a query plan. For more information, contact Customer Support Services.

 

This issue is happening with 1/3 of the queries we are trying to migrate. I do have an open case, but it is going nowhere, because I have a feeling the person has no idea what I am talking about.

 

Has anyone faced the same issue? And how did you solve it? (without re writting the query, I know I can do that).

3 REPLIES 3
DataAnalyticsG
New Member

Hello! I am running into the same issues. I do not think the response from Karpurapu D is sufficient and this problem is Not Resolved.

Project Technical Context: In the environment I am working with, we are building a data platform in Fabric Lakehouse, and pulling in data from D365 leveraging Synapse Link for Dataverse. In Fabric Lakehouse, the raw tables from D365 are landing in the schema "dbo" and we are leveraging EntityUtil to create database views, in the schema "bronze_d365_views". We are building in a "greenfield" environment, and we are leveraging the latest Microsoft technologies.

Example of entities / database views that are failing due to the same "query processor error": dimensioncombinationentity and dimensionsetentity. Both of these entities fail on the same column displayvalue. There may be more, but these are critical ones because they are the "base" views that many other entities leverage. These are causing a great many of important entities to fail - some examples of critical entities that is causing failures for: VendVendorV2Entity, SalesOrderLineV2Entity, CustCustomerDetailV2Entity, LedgerJournalLineEntity, EcoResProductV2Entity, etc.

We encountered another entity / database view that has a similar error: financialdimensionvalueentityexistinglistview. This one results in the error "The query processor could not produce a query plan because a worktable is required, and its minimum row size exceeds the maximum allowable of 8060 bytes.  A typical reason why a worktable is required is a GROUP BY or ORDER BY clause in the query." Pulling the query open, we see some order by statements that look to be necessary for grabbing the right data (there's a subselect top 1, after grabbing rows, then ordering them to grab the correct single row). So what is the solution - break the vetted, accurate logic?

The solution "If you prefer not to rewrite your queries, you might consider modularizing them into smaller, materialized steps using intermediate staging tables." seems to be missing the point. 

There needs to be validated, accurate, and turnkey integration of Entities from D365 to Fabric - and having users modify Microsoft-approved Entity business logic introduces significant risk in getting the logic wrong and/or miscalculating important fields as part of the modification process. Because of the "query processor error", users can’t run the views, users don’t know what the data is supposed to look like for testing purposes as users attempt to fix and break down the EntityUtil-generated logic into parts. Creating Spark or PySpark code / notebooks also requires editing the business logic provided out of D365, with all the same risks.

There needs to be a solution for people building in a greenfield context, in a modern Fabric Lakehouse / Warehouse context, that does not involve manually modifying the database views / business logic that comes from D365 / EntityUtil.

v-karpurapud
Community Support
Community Support

Hi @AstridM 

We have not yet received a response from you regarding your query if you find the response helpful, kindly mark it as the accepted solution and provide kudos, as this will aid other members with similar queries.

 

Thank You.

v-karpurapud
Community Support
Community Support

Hi @AstridM 

 

Welcome to the Microsoft Fabric Community Forum.

 

The error message “Internal Query Processor Error: The query processor could not produce a query plan” is a recognized limitation in Microsoft Fabric Data Warehouse (DW), particularly when running large, complex queries such as those generated from Dynamics 365 Finance & Operations (F&O) entities.

 

These queries typically involve extensive joins, multiple CTEs, and deeply nested logic, which may exceed the current capabilities of the Fabric DW query optimizer. Since these queries run successfully in Synapse Serverless SQL, it is advisable to continue using Synapse Serverless for these workloads until further improvements are made in Fabric DW.Meanwhile, enabling Query Insights and reviewing Capacity Metrics in Fabric can help identify where the optimizer encounters issues, making it easier to pinpoint unsupported features or resource limitations. Running queries through the Fabric Migration Assistant may also help detect syntax or structural concerns.

 

If you prefer not to rewrite your queries, you might consider modularizing them into smaller, materialized steps using intermediate staging tables. Alternatively, for transformation or ingestion tasks, executing the logic in a Fabric Lakehouse notebook (using Spark or PySpark) can provide additional flexibility.

If this response resolves your query, kindly mark it as Accepted Solution to help other community members. A Kudos is also appreciated if you found the response helpful.

Thank you for being part of Fabric Community Forum.

Regards,
Karpurapu D,
Microsoft Fabric Community Support Team.



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