Allocate resources to function instance

When running functions in cluster mode, you can specify the resources that can be allocated to each function instance.

The following table outlines the resources that can be allocated to function instances.

Resource	Specified as	Supported runtime
CPU	The number of cores	Kubernetes
RAM	The number of bytes	Kubernetes
Disk space	The number of bytes	Kubernetes

For example, the following command allocates 8 cores, 8GB of RAM, and 10GB of disk space to a function.

bin/pulsar-admin functions create \
  --jar target/my-functions.jar \
  --classname org.example.functions.MyFunction \
  --cpu 8 \
  --ram 8589934592 \
  --disk 10737418240

note

The resources allocated to a given function are applied to each instance of the function. For example, if you apply 8GB of RAM to a function with a parallelism of 5, you are applying 40GB of RAM for the function in total.