You have an Azure subscription that contains an Azure Synapse Analytics workspace name workspace1, workspace1 contains an Azure Synapse Analytics dedicated SQL pool named Pool1.
You create a mapping data flow in an Azure Synapse pipeline that writes data to Pool1.
You execute the data flow and capture the execution information.
You need to identify how long it takes to write the data to Pool1.
Which metric should you use?
To determine how long it takes to write the data to Pool1, the most relevant metric is the sink processing time. This metric measures the duration required to perform the write operation to the sink, which in this case is Pool1. Other metrics, such as rows written, transformation processing time, and post processing time, do not specifically capture the time it takes to write the data to the destination.
Correct: Each transformation stage includes a total time for that stage to complete with each partition execution time totaled together. When you select the Sink, you see "Sink Processing Time". This time includes the total of the transformation time plus the I/O time it took to write your data to your destination store. The difference between the Sink Processing Time and the total of the transformation is the I/O time to write the data. https://learn.microsoft.com/en-us/azure/data-factory/concepts-data-flow-monitoring#total-sink-processing-time-vs-transformation-processing-time
Sink processing time: This metric measures the time taken to write the data to the sink, which in this case is Pool1. It directly answers the question about how long the write operation takes.
correct