Bing tuning manual data


















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Replies: 15 Last Post: , AM. Replies: 11 Last Post: , AM. All times are GMT. The time now is PM. All rights reserved. Include the actual values used, such as DIUs and parallel copies. Refer to copy activity monitoring on how to collect run results and performance settings used.

Learn how to troubleshoot copy activity performance to identify and resolve the bottleneck. Iterate to conduct additional performance test runs following the troubleshooting and tuning guidance.

Once single copy activity runs cannot achieve better throughput, consider whether to maximize aggregate throughput by running multiple copies concurrently. This option is discussed in the next numbered bullet. By now you have maximized the performance of a single copy activity. If you have not yet achieved the throughput upper limits of your environment, you can run multiple copy activities in parallel.

You can run in parallel by using control flow constructs. One such construct is the For Each loop. For more information, see the following articles about solution templates:. When you're satisfied with the execution results and performance, you can expand the definition and pipeline to cover your entire dataset.

Follow the Performance tuning steps to plan and conduct performance test for your scenario. And learn how to troubleshoot each copy activity run's performance issue from Troubleshoot copy activity performance. Power is a combination of CPU, memory, and network resource allocation.

DIU only applies to Azure integration runtime. DIU does not apply to self-hosted integration runtime. Learn more here. You might want to host an increasing concurrent workload. Or you might want to achieve higher performance in your present workload level. You can enhance the scale of processing by the following approaches:.

You can set the parallelCopies property to indicate the parallelism you want the copy activity to use. Think of this property as the maximum number of threads within the copy activity. The threads operate in parallel.



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