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When an Azure Data Factory (ADF) Integrated Runtime is running with status "Running (Limited)", it means that the runtime is running in a limited capacity due to resource constraints. This can happen when the runtime is running on a machine with limited resources, such as CPU or memory, or when there are other processes running on the machine that are competing for resources.
To resolve this issue, you can try the following steps:
- Check the resource utilization: Check the resource utilization of the machine running the Integrated Runtime. You can use the Azure portal or other monitoring tools to monitor the CPU and memory usage of the machine. If the machine is running at or near capacity, you may need to allocate more resources to the machine or move the runtime to a machine with more resources.
- Check for competing processes: Check for other processes running on the machine that may be competing for resources with the Integrated Runtime. You can use the Task Manager or other monitoring tools to identify processes that are consuming CPU or memory resources. If there are other processes running that are not necessary, you may need to stop or disable them to free up resources for the Integrated Runtime.
- Optimize the runtime configuration: You can optimize the configuration of the Integrated Runtime to reduce its resource usage. For example, you can reduce the number of concurrent pipelines or activities running on the runtime, or you can optimize the data flow transformations to reduce their memory usage.
- Scale up or out: If the above steps do not resolve the issue, you may need to scale up or out the resources used by the Integrated Runtime. For example, you can increase the size of the machine running the runtime, or you can add more machines to the runtime to distribute the workload.
Follow the official documentation with detailed steps for Troubleshooting error message: Self-hosted integration runtime node/logical self-hosted IR is in Inactive/ "Running (Limited)" state.
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