Storage and resource configuration
Storage for data volumes
Druid uses S3 or HDFS for deep storage, so no extra PersistentVolumeClaims have to be specified.
Resource Requests
Stackable operators handle resource requests in a sligtly different manner than Kubernetes. Resource requests are defined on role or group level. See Roles and role groups for details on these concepts. On a role level this means that e.g. all workers will use the same resource requests and limits. This can be further specified on role group level (which takes priority to the role level) to apply different resources.
This is an example on how to specify CPU and memory resources using the Stackable Custom Resources:
---
apiVersion: example.stackable.tech/v1alpha1
kind: ExampleCluster
metadata:
name: example
spec:
workers: # role-level
config:
resources:
cpu:
min: 300m
max: 600m
memory:
limit: 3Gi
roleGroups: # role-group-level
resources-from-role: # role-group 1
replicas: 1
resources-from-role-group: # role-group 2
replicas: 1
config:
resources:
cpu:
min: 400m
max: 800m
memory:
limit: 4Gi
In this case, the role group resources-from-role
will inherit the resources specified on the role level. Resulting in a maximum of 3Gi
memory and 600m
CPU resources.
The role group resources-from-role-group
has maximum of 4Gi
memory and 800m
CPU resources (which overrides the role CPU resources).
For Java products the actual used Heap memory is lower than the specified memory limit due to other processes in the Container requiring memory to run as well. Currently, 80% of the specified memory limits is passed to the JVM. |
For memory only a limit can be specified, which will be set as memory request and limit in the Container. This is to always guarantee a Container the full amount memory during Kubernetes scheduling.
A minimal HA setup consisting of 2 Pods of each role has the following resource requirements:
-
4700m
CPU request -
13800m
CPU limit -
11376m
memory request and limit
Of course, additional services, require additional resources. For Stackable components, see the corresponding documentation on further resource requirements.
Corresponding to the values above, the operator uses the following resource defaults:
spec:
brokers:
config:
resources:
cpu:
min: 100m
max: 400m
memory:
limit: 1500Mi
routers:
config:
resources:
cpu:
min: 100m
max: 400m
memory:
limit: 512Mi
historical:
config:
resources:
cpu:
min: 300m
max: 1200m
memory:
limit: 1500Mi
middleManagers:
config:
resources:
cpu:
min: 300m
max: 1200m
memory:
limit: 1Gi
coordinators:
config:
resources:
cpu:
min: 100m
max: 400m
memory:
limit: 512Mi
The operator may configure an additional container for log aggregation. This is done when log aggregation is configured as described in Logging. The resources for this container cannot be configured using the mechanism described above. Use podOverrides for this purpose.
You can configure your own resource requests and limits by following the example above.
Historical Resources
In addition to the cpu and memory resources described above, historical Pods also accept a storage
resource with the following properties:
-
segmentCache
- used to set the maximum size allowed for the historical segment cache locations. See the Druid documentation regarding druid.segmentCache.locations. The operator creates anemptyDir
and sets themax_size
of the volume to be the value of thecapacity
property. In addition Druid is configured to keep 7% volume size free. By default, if nosegmentCache
is configured, the operator will create anemptyDir
with a size of1G
andfreePercentage
of5
.
Example historical configuration with storage resources:
historicals:
roleGroups:
default:
config:
resources:
storage:
segmentCache:
# The amount of free space to subtract from the capacity setting below. Defaults to 5%
freePercentage: 7
emptyDir:
# The maximum size of the volume used to store the segment cache
capacity: 2Gi