Datasets:
AdiOO7
/
data

Dataset card Data Studio Files Community
input_text
stringlengths
25
459
output_text
stringclasses
3 values
Error occurred : Could not load resource while opening pipeline
Azure Data Factory
There was a mistake: When opening a pipeline, a resource could not be loaded.
Azure Data Factory
It went wrong: Having trouble loading resources while opening a pipeline
Azure Data Factory
A mistake happened: No resources could be loaded while the pipeline was open.
Azure Data Factory
There was a mistake Unable to load resource while opening pipeline
Azure Data Factory
There was an error. When opening a pipeline, a resource could not be loaded.
Azure Data Factory
An Azure Functions app pipeline throws an error with private endpoint connectivity
Azure Data Factory
A pipeline for an Azure Functions app fails due to a problem with private endpoint connectivity.
Azure Data Factory
A private endpoint connectivity fault occurs in an Azure Functions app pipeline.
Azure Data Factory
With regard to private endpoint connectivity, an Azure Functions app pipeline fails.
Azure Data Factory
There is a private endpoint connectivity fault in an Azure Functions app pipeline.
Azure Data Factory
An Azure Functions app pipeline has a private endpoint connectivity issue.
Azure Data Factory
A pipeline run is canceled but the monitor still shows progress status
Azure Data Factory
The monitor continuously displays progress status even when a pipeline run is cancelled.
Azure Data Factory
Despite the monitor still displaying progress status, a pipeline run is cancelled.
Azure Data Factory
Even though a pipeline run is cancelled, the monitor still displays progress status.
Azure Data Factory
The monitor still shows progress status even if a pipeline run has been cancelled.
Azure Data Factory
Even if a pipeline run has been cancelled, the monitor still displays the current state of progress.
Azure Data Factory
You see a "DelimitedTextMoreColumnsThanDefined" error when copying a pipeline
Azure Data Factory
When duplicating a pipeline, you get a "DelimitedTextMoreColumnsThanDefined" problem.
Azure Data Factory
A "DelimitedTextMoreColumnsThanDefined" problem appears when you copy a pipeline.
Azure Data Factory
When copying a pipeline, you get the error "DelimitedTextMoreColumnsThanDefined"
Azure Data Factory
When you copy a pipeline, you get a "DelimitedTextMoreColumnsThanDefined" problem.
Azure Data Factory
You encounter a "DelimitedTextMoreColumnsThanDefined" issue when duplicating a pipeline.
Azure Data Factory
A pipeline run fails when you reach the capacity limit of the integration runtime for data flow
Azure Data Factory
When the integration runtime for data flow reaches its capacity limit, a pipeline run fails.
Azure Data Factory
When you exceed the integration runtime for data flow's capacity, a pipeline run fails.
Azure Data Factory
Once the integration runtime for data flow reaches its capacity limit, a pipeline run fails.
Azure Data Factory
A pipeline run fails when the capacity of the integration runtime for data flow is exceeded.
Azure Data Factory
When the data flow capacity of the integration runtime is exceeded, a pipeline run fails.
Azure Data Factory
A pipeline run error while invoking REST api in a Web activity
Azure Data Factory
A pipeline run problem occurred when a Web activity called the REST api.
Azure Data Factory
A Web activity that invokes the REST API encounters a pipeline run error
Azure Data Factory
When a Web activity calls the REST API and encounters a pipeline run error
Azure Data Factory
Any time a Web activity uses the REST API and runs into a pipeline execution error
Azure Data Factory
In the event that a Web activity accesses the REST API and runs into a pipeline run error
Azure Data Factory
How to check and branch on activity-level success and failure in pipelines
Azure Data Factory
How to branch and check pipelines for activity-level success and failure
Azure Data Factory
How to branch on pipelines that have successful and unsuccessful activities at the activity level
Azure Data Factory
How to split pipelines based on the success or failure of individual activities
Azure Data Factory
How to make a pipeline branch based on the activity level success and failure of activities
Azure Data Factory
How to create a pipeline branch based on the success or failure of activities at the activity level
Azure Data Factory
How to monitor pipeline failures in regular intervals
Azure Data Factory
How to regularly check for pipeline faults
Azure Data Factory
How to systematically keep track of pipeline breakdowns
Azure Data Factory
How to routinely monitor pipeline malfunctions
Azure Data Factory
How to regularly check for pipeline issues
Azure Data Factory
How to routinely check for pipeline concerns
Azure Data Factory
Degree of parallelism increase does not result in higher throughput
Azure Data Factory
Increasing the degree of parallelism has little impact on throughput.
Azure Data Factory
Increased parallelism does not translate into increased throughput.
Azure Data Factory
Throughput does not increase as the degree of parallelism increases.
Azure Data Factory
An increase in the degree of parallelism has no impact on throughput.
Azure Data Factory
As the level of parallelism rises, throughput does not increase.
Azure Data Factory
There is an issue : Pipeline status is queued or stuck for a long time
Azure Data Factory
There is a problem: Pipeline status is backed up or has been for a while.
Azure Data Factory
There is a issue: The pipeline status has been backed up or is persistently stuck.
Azure Data Factory
There is a error: Pipeline status is queued or stuck for a while.
Azure Data Factory
Pipeline status is in a backlog or has been stuck for a time, which is an issue.
Azure Data Factory
Pipeline status is delayed in queue or is currently unavailable.
Azure Data Factory