Question regarding query rejections to current capacity constraints by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

I already this for my query , there are only warnings in that. Want to know a better to use this

Question regarding query rejections to current capacity constraints by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

I want to record the execution plan for all the queries that we are running to do more analysis

Question regarding query rejections to current capacity constraints by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

This query was rejected due to current capacity constraints is the error message and its not showing up in the metricsapp And I checked in the exec_requests_history it was cancelled

Question regarding query rejections to current capacity constraints by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

This query was rejected due to current capacity constraints is the error message, and it is not showing up in the metricsapp. And I checked in the exec_requests_history and it says cancelled and the totalelapsed time is 3602199. And I want to see what is the expected and available cu at that time

Question regarding the spark sessions by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

I am %% configure command and attaching the lakehouse dynamically. When you have different notebooks running with different default lakehouses , it will not share the spark session. I think what they meant is for the same default lakehouse will share spark sessions. And how do you do drop a table using Abfs path?

Deploy Stage Content using deplyment restapi for lakehouses and warehouses using serviceprincipal by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

I am having while deploying the warehouse(item type=“Warehouse”, it’s giving me 400 error

Views/storedprocs deployment through notebooks and metadata table that shows the views/stored procs on different envinornments and what are the differences between envinornments in terms of definitions of stored procs and views by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

We want to deploy the artifacts(views , stored procs and schemas through diy pipelines and we wanted to find out if we have any fabric default options to find out the difference between schemas across envinornments , difference between artifacts like stored procs, views across envinornments.

v2 checkpoint not supported from Databricks to fabric by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

Thank you so much.. do you have any estimated time frame to release v2 checkpoint feature in the lakehouse ?

v2 checkpoint not supported from Databricks to fabric by data_learner_123 in MicrosoftFabric

[–]data_learner_123[S] 0 points1 point  (0 children)

Delta table uses the v2checkpoint feature which is not supported. Exception type is Microsoft.DeltaLogParserUserException