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Chapter 4. Adjusting Container Specifications

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You can allocate CPU and memory resources, specify JVM options, and configure storage for Data Grid nodes.

4.1. JVM, CPU, and Memory Resources

spec:
  ...
  container:
    extraJvmOpts: "-XX:NativeMemoryTracking=summary" 1
    cpu: "1000m" 2
    memory: 1Gi 3
1
Specifies JVM options.
2
Allocates host CPU resources to node, measured in CPU units.
3
Allocates host memory resources to nodes, measured in bytes.

When Data Grid Operator creates Data Grid clusters, it uses spec.container.cpu and spec.container.memory to:

  • Ensure that OpenShift has sufficient capacity to run the Data Grid node. By default Data Grid Operator requests 512Mi of memory and 0.5 cpu from the OpenShift scheduler.
  • Constrain node resource usage. Data Grid Operator sets the values of cpu and memory as resource limits.

Garbage collection logging

By default, Data Grid Operator does not log garbage collection (GC) messages. You can optionally add the following JVM options to direct GC messages to stdout:

extraJvmOpts: "-Xlog:gc*:stdout:time,level,tags"

4.2. Storage Resources

By default, Data Grid Operator allocates 1Gi for storage for both Cache service and Data Grid service nodes. You can configure storage resources for Data Grid service nodes but not Cache service nodes.

spec:
  ...
  service:
    type: DataGrid
    container:
      storage: 2Gi 1
      storageClassName: my-storage-class 2
1
Configures the storage size for Data Grid service nodes.
2
Specifies the name of a StorageClass object to use for the persistent volume claim. If you include this field, you must specify an existing storage class as the value. If you do not include this field, the persistent volume claim uses the storage class that has the storageclass.kubernetes.io/is-default-class annotation set to true.

Persistent Volume Claims

Data Grid Operator mounts persistent volumes at:
/opt/infinispan/server/data

Note

Persistent volume claims use the ReadWriteOnce (RWO) access mode.

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