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my-rook-config/pkg/operator/cluster/spec.go
T

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/*
Copyright 2016 The Rook Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Some of the code below came from https://github.com/coreos/etcd-operator
which also has the apache 2.0 license.
*/
package cluster
import "github.com/rook/rook/pkg/operator/osd"
type Spec struct {
// VersionTag is the expected version of the rook container to run in the cluster.
// The operator will eventually make the rook cluster version
// equal to the expected version.
VersionTag string `json:"versionTag"`
// Paused is to pause the control of the operator for the rook cluster.
Paused bool `json:"paused,omitempty"`
// The path on the host where config and data can be persisted.
DataDirHostPath string `json:"dataDirHostPath"`
// A spec for available storage in the cluster and how it should be used
Storage osd.StorageSpec `json:"storage"`
}
type PoolSpec struct {
// The replication settings
Replication ReplicationSpec `json:"replication"`
// The erasure code setteings
ErasureCoding ErasureCodeSpec `json:"erasureCode"`
}
type ReplicationSpec struct {
// Number of copies per object in a replicated storage pool, including the object itself (required for replicated pool type)
Size uint `json:"size"`
}
type ErasureCodeSpec struct {
// Number of coding chunks per object in an erasure coded storage pool (required for erasure-coded pool type)
CodingChunks uint `json:"codingChunks"`
// Number of data chunks per object in an erasure coded storage pool (required for erasure-coded pool type)
DataChunks uint `json:"dataChunks"`
}