PLEASE NOTE: This document applies to v1.0 version and not to the latest stable release v1.3Documentation for other releases can be found by using the version selector in the left bottom of any doc page.
EdgeFS AWS S3 CRD
Rook allows creation and customization of AWS S3 compatible services through the custom resource definitions (CRDs). The following settings are available for customization of S3 services.
apiVersion: edgefs.rook.io/v1beta1 kind: S3 metadata: name: s301 namespace: rook-edgefs spec: instances: 3 #s3type: s3s #chunkCacheSize: 1Gi # A key/value list of annotations annotations: # key: value placement: # nodeAffinity: # requiredDuringSchedulingIgnoredDuringExecution: # nodeSelectorTerms: # - matchExpressions: # - key: role # operator: In # values: # - s3-node # tolerations: # - key: s3-node # operator: Exists # podAffinity: # podAntiAffinity: #resourceProfile: embedded resources: # limits: # cpu: "500m" # memory: "1024Mi" # requests: # cpu: "500m" # memory: "1024Mi"
name: The name of the S3 system to create, which must match existing EdgeFS service.
namespace: The namespace of the Rook cluster where the S3 service is created.
s3type: The type of S3 service to be created. It can be one of the following:
s3(default, path style) or
s3s(buckets as DNS style)
sslCertificateRef: If the certificate is not specified, SSL will use default crt and key files. If specified, this is the name of the Kubernetes secret that contains the SSL certificate to be used for secure connections. Please see secret YAML file example on how to setup Kuberenetes secret. Notice that base64 encoding is required.
port: The port on which the S3 pods and the S3 service will be listening (not encrypted). Default port is 9982 for
s3and 9983 for
securePort: The secure port on which S3 pods will be listening. If not defined then default SSL certificates will be used. Default port is 8443 for
s3and 8444 for
chunkCacheSize: Limit amount of memory allocated for dynamic chunk cache. By default S3 pod uses up to 75% of available memory as chunk caching area. This option can influence this allocation strategy.
instances: The number of active S3 service instances. For load balancing we recommend to use nginx and the like solutions.
annotations: Key value pair list of annotations to add.
placement: The S3 pods can be given standard Kubernetes placement restrictions with
podAntiAffinitysimilar to placement defined for daemons configured by the cluster CRD.
resourceProfile: S3 pod resource utilization profile (Memory and CPU). Can be
performance(default). In case of
performancean S3 pod trying to increase amount of internal I/O resources that results in higher performance at the cost of additional memory allocation and more CPU load. In
embeddedprofile case, S3 pod gives preference to preserving memory over I/O and limiting chunk cache (see
performanceprofile is the default unless cluster wide
embeddedoption is defined.
resources: Set resource requests/limits for the S3 pods, see Resource Requirements/Limits.
Setting up EdgeFS namespace and tenant
For more detailed instructions please refer to EdgeFS Wiki.
Below is an exampmle procedure to get things initialized and configured.
Before new local namespace (or local site) can be used, it has to be initialized with FlexHash and special purpose root object.
FlexHash consists of dynamically discovered configuration and checkpoint of accepted distribution table. FlexHash is responsible for I/O direction and plays important role in dynamic load balancing logic. It defines so-called Negotiating Groups (typically across zoned 8-24 disks) and final table distribution across all the participating components, e.g. data nodes, service gateways and tools.
Root object holds system information and table of namespaces registered to a local site. Root object is always local and never shared between the sites.
To initialize system and prepare logical definitions, login to the toolbox as shown in this example:
kubectl get po --all-namespaces | grep edgefs-mgr kubectl exec -it -n rook-edgefs rook-edgefs-mgr-6cb9597469-czr7p -- env COLUMNS=$COLUMNS LINES=$LINES TERM=linux toolbox
Assumption at this point is that nodes are all configured and can be seen via the following command:
efscli system status
- Initialize cluster
Verify that HW (or better say emulated in this case) configuration look normal and accept it
efscli system init
At this point new dynamically discovered configuration checkpoint will be created at $NEDGE_HOME/var/run/flexhash-checkpoint.json This will also create system “root” object, holding Site’s Namespace. Namespace may consist of more then single region.
- Create new local namespace (or we also call it “Region” or “Segment”)
efscli cluster create Hawaii
- Create logical tenants of cluster namespace “Hawaii”, also buckets if needed
efscli tenant create Hawaii/Cola efscli bucket create Hawaii/Cola/bk1 efscli tenant create Hawaii/Pepsi efscli bucket create Hawaii/Pepsi/bk1
Now cluster is setup, services can be now created.
- Create S3 services objects for tenants
efscli service create s3 s3-cola efscli service serve s3-cola Hawaii/Cola efscli service create s3 s3-pepsi efscli service serve s3-pepsi Hawaii/Pepsi
In case of s3type set to
s3, do not forget to configure default domain name:
efscli service config s3-cola X-Domain cola.com efscli service config s3-pepsi X-Domain pepsi.com
- Create S3 CRDs
apiVersion: edgefs.rook.io/v1beta1 kind: S3 metadata: name: s3-cola namespace: rook-edgefs spec: instances: 1
apiVersion: edgefs.rook.io/v1beta1 kind: S3 metadata: name: s3-pepsi namespace: rook-edgefs spec: instances: 1
At this point two S3 services should be available and listening on default ports.