mirror of https://github.com/helm/helm
Changes to support #82.
parent
77c8c26e30
commit
0a30f1112b
@ -1,29 +0,0 @@
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# Kubernetes Template Registry
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Welcome to the Kubernetes Template Registry!
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This registry holds Deployment Manager
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[templates](https://github.com/kubernetes/deployment-manager/tree/master/docs/design/design.md#templates)
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that you can use to deploy Kubernetes resources.
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For more information about installing and using Deployment Manager, see its
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[README.md](https://github.com/kubernetes/deployment-manager/tree/master/README.md).
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## Organization
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The Kubernetes Template Registry is organized as a flat list of template
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directories. Templates are versioned. The versions of a template live in version
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directories under its template directory.
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For more information about Deployment Manager template registries, including
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directory structure and template versions, see the
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[template registry documentation](https://github.com/kubernetes/deployment-manager/tree/master/docs/templates/registry.md)
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## Contributing
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The Kubernetes Template Registry follows the
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[git setup](https://github.com/kubernetes/kubernetes/blob/master/docs/devel/development.md#git-setup)
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used by Kubernetes.
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You will also need to have a Contributor License Agreement on file, as described
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in [CONTRIBUTING.md](../CONTRIBUTING.md).
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{% set PROPERTIES = properties or {} %}
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{% set SERVER_IP = PROPERTIES['ip'] or '10.0.253.247' %}
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{% set SERVER_PORT = PROPERTIES['port'] or 2049 %}
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{% set SERVER_DISK = PROPERTIES['disk'] or 'nfs-disk' %}
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{% set SERVER_DISK_FSTYPE = PROPERTIES['fstype'] or 'ext4' %}
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{% set CLAIM_NAME = PROPERTIES['claim-name'] or 'nfs' %}
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resources:
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- name: nfs
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type: https://raw.githubusercontent.com/kubernetes/deployment-manager/master/templates/replicatedservice/v2/replicatedservice.py
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properties:
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service_port: {{ SERVER_PORT }}
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container_port: {{ SERVER_PORT }}
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replicas: 1 # Has to be 1 because of the persistent disk
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image: gcr.io/google_containers/volume-nfs
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privileged: true
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cluster_ip: {{ SERVER_IP }}
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volumes:
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- mount_path: /mnt/data
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gcePersistentDisk:
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pdName: {{ SERVER_DISK }}
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fsType: {{ SERVER_DISK_FSTYPE }}
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- name: nfs-pvc
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type: PersistentVolumeClaim
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properties:
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kind: PersistentVolumeClaim
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apiVersion: v1
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metadata:
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name: {{ CLAIM_NAME }}
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spec:
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accessModes:
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- ReadWriteMany
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resources:
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requests:
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storage: 1Mi
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- name: nfs-pv
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type: PersistentVolume
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properties:
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apiVersion: v1
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kind: PersistentVolume
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metadata:
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name: {{ CLAIM_NAME }}
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spec:
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capacity:
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storage: 1Mi
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accessModes:
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- ReadWriteMany
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nfs:
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server: {{ SERVER_IP }}
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path: "/"
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info:
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title: NFS
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description: Defines an NFS service.
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properties:
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ip:
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type: string
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default: 10.0.253.247
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description: The IP of the NFS service.
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port:
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type: int
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default: 2049
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description: The port of the NFS service.
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disk:
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type: string
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default: nfs-disk
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description: The name of the persistent disk the NFS service uses.
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fstype:
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type: string
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default: ext4
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description: The filesystem the disk of the NFS service uses.
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claim-name:
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type: string
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default: nfs
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description: The name of the PersistentVolumeClaim
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- name: nfs
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type: https://raw.githubusercontent.com/kubernetes/deployment-manager/master/templates/nfs/v1/nfs.jinja
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{% set REDIS_PORT = 6379 %}
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{% set WORKERS = properties['workers'] if properties and properties['workers'] else 2 %}
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resources:
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- name: redis-master
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type: https://raw.githubusercontent.com/kubernetes/deployment-manager/master/templates/replicatedservice/v1/replicatedservice.py
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properties:
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# This has to be overwritten since service names are hard coded in the code
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service_name: redis-master
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service_port: {{ REDIS_PORT }}
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target_port: {{ REDIS_PORT }}
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container_port: {{ REDIS_PORT }}
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replicas: 1
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container_name: master
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image: redis
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- name: redis-slave
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type: https://raw.githubusercontent.com/kubernetes/deployment-manager/master/templates/replicatedservice/v1/replicatedservice.py
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properties:
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# This has to be overwritten since service names are hard coded in the code
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service_name: redis-slave
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service_port: {{ REDIS_PORT }}
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container_port: {{ REDIS_PORT }}
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replicas: {{ WORKERS }}
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container_name: worker
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image: kubernetes/redis-slave:v2
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# An example of how to specify env variables.
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env:
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- name: GET_HOSTS_FROM
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value: env
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- name: REDIS_MASTER_SERVICE_HOST
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value: redis-master
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info:
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title: Redis cluster
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description: Defines a redis cluster, using a single replica
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replicatedservice for master and replicatedservice for workers.
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properties:
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workers:
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type: int
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default: 2
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description: Number of worker replicas.
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imports:
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- path: redis.jinja
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resources:
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- name: redis
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type: redis.jinja
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######################################################################
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# Copyright 2015 The Kubernetes Authors All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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######################################################################
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"""Defines a ReplicatedService type by creating both a Service and an RC.
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This module creates a typical abstraction for running a service in a
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Kubernetes cluster, namely a replication controller and a service packaged
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together into a single unit.
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"""
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import yaml
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SERVICE_TYPE_COLLECTION = 'Service'
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RC_TYPE_COLLECTION = 'ReplicationController'
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def GenerateConfig(context):
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"""Generates a Replication Controller and a matching Service.
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Args:
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context: Template context. See schema for context properties.
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Returns:
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A Container Manifest as a YAML string.
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"""
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# YAML config that we're going to create for both RC & Service
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config = {'resources': []}
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name = context.env['name']
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container_name = context.properties.get('container_name', name)
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namespace = context.properties.get('namespace', 'default')
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# Define things that the Service cares about
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service_name = context.properties.get('service_name', name + '-service')
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service_type = SERVICE_TYPE_COLLECTION
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# Define things that the Replication Controller (rc) cares about
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rc_name = name + '-rc'
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rc_type = RC_TYPE_COLLECTION
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service = {
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'name': service_name,
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'type': service_type,
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'properties': {
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'apiVersion': 'v1',
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'kind': 'Service',
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'metadata': {
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'name': service_name,
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'namespace': namespace,
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'labels': GenerateLabels(context, service_name),
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},
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'spec': {
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'ports': [GenerateServicePorts(context, container_name)],
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'selector': GenerateLabels(context, name)
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}
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}
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}
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set_up_external_lb = context.properties.get('external_service', None)
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if set_up_external_lb:
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service['properties']['spec']['type'] = 'LoadBalancer'
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config['resources'].append(service)
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rc = {
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'name': rc_name,
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'type': rc_type,
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'properties': {
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'apiVersion': 'v1',
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'kind': 'ReplicationController',
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'metadata': {
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'name': rc_name,
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'namespace': namespace,
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'labels': GenerateLabels(context, rc_name),
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},
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'spec': {
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'replicas': context.properties['replicas'],
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'selector': GenerateLabels(context, name),
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'template': {
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'metadata': {
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'labels': GenerateLabels(context, name),
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},
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'spec': {
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'containers': [
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{
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'env': GenerateEnv(context),
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'name': container_name,
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'image': context.properties['image'],
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'ports': [
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{
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'name': container_name,
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'containerPort': context.properties['container_port'],
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}
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]
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}
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]
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}
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}
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}
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}
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}
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config['resources'].append(rc)
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return yaml.dump(config)
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def GenerateLabels(context, name):
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"""Generates labels either from the context.properties['labels'] or
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generates a default label 'app':name
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We make a deep copy of the context.properties['labels'] section to avoid
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linking in the yaml document, which I believe reduces readability of the
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expanded template. If no labels are given, generate a default 'app':name.
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Args:
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context: Template context, which can contain the following properties:
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labels - Labels to generate
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Returns:
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A dict containing labels in a name:value format
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"""
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tmp_labels = context.properties.get('labels', None)
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ret_labels = {'app': name}
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if isinstance(tmp_labels, dict):
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for key, value in tmp_labels.iteritems():
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ret_labels[key] = value
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return ret_labels
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def GenerateServicePorts(context, name):
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"""Generates a ports section for a service.
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Args:
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context: Template context, which can contain the following properties:
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service_port - Port to use for the service
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target_port - Target port for the service
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protocol - Protocol to use.
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Returns:
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A dict containing a port definition
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"""
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service_port = context.properties.get('service_port', None)
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target_port = context.properties.get('target_port', None)
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protocol = context.properties.get('protocol')
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ports = {}
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if name:
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ports['name'] = name
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if service_port:
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ports['port'] = service_port
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if target_port:
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ports['targetPort'] = target_port
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if protocol:
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ports['protocol'] = protocol
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return ports
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def GenerateEnv(context):
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"""Generates environmental variables for a pod.
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Args:
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context: Template context, which can contain the following properties:
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env - Environment variables to set.
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Returns:
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A list containing env variables in dict format {name: 'name', value: 'value'}
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"""
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env = []
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tmp_env = context.properties.get('env', [])
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for entry in tmp_env:
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if isinstance(entry, dict):
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env.append({'name': entry.get('name'), 'value': entry.get('value')})
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return env
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info:
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title: Replicated Service
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description: |
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Defines a ReplicatedService type by creating both a Service and an RC.
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This module creates a typical abstraction for running a service in a
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Kubernetes cluster, namely a replication controller and a service packaged
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together into a single unit.
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required:
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- image
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properties:
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container_name:
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type: string
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description: Name to use for container. If omitted, name is used.
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service_name:
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type: string
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description: Name to use for service. If omitted, name-service is used.
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namespace:
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type: string
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description: Namespace to create resources in. If omitted, 'default' is
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used.
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default: default
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protocol:
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type: string
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description: Protocol to use for the service.
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service_port:
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type: int
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description: Port to use for the service.
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target_port:
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type: int
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description: Target port to use for the service.
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container_port:
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type: int
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description: Port to use for the container.
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replicas:
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type: int
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description: Number of replicas to create in RC.
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image:
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type: string
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description: Docker image to use for replicas.
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labels:
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type: object
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description: Labels to apply.
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env:
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type: object
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description: Environment variables to apply.
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properties:
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name:
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type: string
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value:
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type: string
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external_service:
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type: boolean
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description: If set to true, enable external load balancer.
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"""Defines a ReplicatedService type by creating both a Service and an RC.
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This module creates a typical abstraction for running a service in a
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Kubernetes cluster, namely a replication controller and a service packaged
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together into a single unit.
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"""
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import yaml
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SERVICE_TYPE_COLLECTION = 'Service'
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RC_TYPE_COLLECTION = 'ReplicationController'
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def GenerateConfig(context):
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"""Generates a Replication Controller and a matching Service.
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Args:
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context: Template context. See schema for context properties
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Returns:
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A Container Manifest as a YAML string.
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"""
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# YAML config that we're going to create for both RC & Service
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config = {'resources': []}
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name = context.env['name']
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container_name = context.properties.get('container_name', name)
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namespace = context.properties.get('namespace', 'default')
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# Define things that the Service cares about
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service_name = context.properties.get('service_name', name + '-service')
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service_type = SERVICE_TYPE_COLLECTION
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# Define things that the Replication Controller (rc) cares about
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rc_name = context.properties.get('rc_name', name + '-rc')
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rc_type = RC_TYPE_COLLECTION
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service = {
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'name': service_name,
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'type': service_type,
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'properties': {
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'apiVersion': 'v1',
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'kind': 'Service',
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'namespace': namespace,
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'metadata': {
|
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'name': service_name,
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'labels': GenerateLabels(context, service_name),
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},
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'spec': {
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'ports': [GenerateServicePorts(context, container_name)],
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'selector': GenerateLabels(context, name)
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}
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}
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}
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set_up_external_lb = context.properties.get('external_service', None)
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if set_up_external_lb:
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service['properties']['spec']['type'] = 'LoadBalancer'
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cluster_ip = context.properties.get('cluster_ip', None)
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if cluster_ip:
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service['properties']['spec']['clusterIP'] = cluster_ip
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config['resources'].append(service)
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rc = {
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'name': rc_name,
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'type': rc_type,
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'properties': {
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'apiVersion': 'v1',
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'kind': 'ReplicationController',
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'namespace': namespace,
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'metadata': {
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'name': rc_name,
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'labels': GenerateLabels(context, rc_name),
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},
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'spec': {
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'replicas': context.properties['replicas'],
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'selector': GenerateLabels(context, name),
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'template': {
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'metadata': {
|
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'labels': GenerateLabels(context, name),
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},
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'spec': {
|
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'containers': [
|
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{
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'env': GenerateEnv(context),
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'name': container_name,
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'image': context.properties['image'],
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'ports': [
|
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{
|
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'name': container_name,
|
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'containerPort': context.properties['container_port'],
|
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}
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||||
],
|
||||
}
|
||||
],
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}
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}
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}
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||||
}
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}
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# Set up volume mounts
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if context.properties.get('volumes', None):
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rc['properties']['spec']['template']['spec']['containers'][0]['volumeMounts'] = []
|
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rc['properties']['spec']['template']['spec']['volumes'] = []
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for volume in context.properties['volumes']:
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# mountPath should be unique
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volume_name = volume['mount_path'].replace('/', '-').lstrip('-') + '-storage'
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rc['properties']['spec']['template']['spec']['containers'][0]['volumeMounts'].append(
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{
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'name': volume_name,
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'mountPath': volume['mount_path']
|
||||
}
|
||||
)
|
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del volume['mount_path']
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volume['name'] = volume_name
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rc['properties']['spec']['template']['spec']['volumes'].append(volume)
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if context.properties.get('privileged', False):
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rc['properties']['spec']['template']['spec']['containers'][0]['securityContext'] = {
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'privileged': True
|
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}
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|
||||
config['resources'].append(rc)
|
||||
return yaml.dump(config)
|
||||
|
||||
|
||||
# Generates labels either from the context.properties['labels'] or generates
|
||||
# a default label 'name':name
|
||||
def GenerateLabels(context, name):
|
||||
"""Generates labels from context.properties['labels'] or creates default.
|
||||
|
||||
We make a deep copy of the context.properties['labels'] section to avoid
|
||||
linking in the yaml document, which I believe reduces readability of the
|
||||
expanded template. If no labels are given, generate a default 'name':name.
|
||||
|
||||
Args:
|
||||
context: Template context, which can contain the following properties:
|
||||
labels - Labels to generate
|
||||
|
||||
Returns:
|
||||
A dict containing labels in a name:value format
|
||||
"""
|
||||
tmp_labels = context.properties.get('labels', None)
|
||||
ret_labels = {'name': name}
|
||||
if isinstance(tmp_labels, dict):
|
||||
for key, value in tmp_labels.iteritems():
|
||||
ret_labels[key] = value
|
||||
return ret_labels
|
||||
|
||||
|
||||
def GenerateServicePorts(context, name):
|
||||
"""Generates a ports section for a service.
|
||||
|
||||
Args:
|
||||
context: Template context, which can contain the following properties:
|
||||
service_port - Port to use for the service
|
||||
target_port - Target port for the service
|
||||
protocol - Protocol to use.
|
||||
|
||||
Returns:
|
||||
A dict containing a port definition
|
||||
"""
|
||||
service_port = context.properties.get('service_port', None)
|
||||
target_port = context.properties.get('target_port', None)
|
||||
protocol = context.properties.get('protocol')
|
||||
|
||||
ports = {}
|
||||
if name:
|
||||
ports['name'] = name
|
||||
if service_port:
|
||||
ports['port'] = service_port
|
||||
if target_port:
|
||||
ports['targetPort'] = target_port
|
||||
if protocol:
|
||||
ports['protocol'] = protocol
|
||||
|
||||
return ports
|
||||
|
||||
def GenerateEnv(context):
|
||||
"""Generates environmental variables for a pod.
|
||||
|
||||
Args:
|
||||
context: Template context, which can contain the following properties:
|
||||
env - Environment variables to set.
|
||||
|
||||
Returns:
|
||||
A list containing env variables in dict format {name: 'name', value: 'value'}
|
||||
"""
|
||||
env = []
|
||||
tmp_env = context.properties.get('env', [])
|
||||
for entry in tmp_env:
|
||||
if isinstance(entry, dict):
|
||||
env.append({'name': entry.get('name'), 'value': entry.get('value')})
|
||||
return env
|
@ -1,91 +0,0 @@
|
||||
info:
|
||||
title: Replicated Service
|
||||
description: |
|
||||
Defines a ReplicatedService type by creating both a Service and an RC.
|
||||
|
||||
This module creates a typical abstraction for running a service in a
|
||||
Kubernetes cluster, namely a replication controller and a service packaged
|
||||
together into a single unit.
|
||||
|
||||
required:
|
||||
- image
|
||||
|
||||
properties:
|
||||
container_name:
|
||||
type: string
|
||||
description: Name to use for container. If omitted, name is used.
|
||||
service_name:
|
||||
type: string
|
||||
description: Name to use for service. If omitted, name-service is used.
|
||||
namespace:
|
||||
type: string
|
||||
description: Namespace to create resources in. If omitted, 'default' is
|
||||
used.
|
||||
default: default
|
||||
protocol:
|
||||
type: string
|
||||
description: Protocol to use for the service.
|
||||
service_port:
|
||||
type: int
|
||||
description: Port to use for the service.
|
||||
target_port:
|
||||
type: int
|
||||
description: Target port to use for the service.
|
||||
container_port:
|
||||
type: int
|
||||
description: Port to use for the container.
|
||||
replicas:
|
||||
type: int
|
||||
description: Number of replicas to create in RC.
|
||||
image:
|
||||
type: string
|
||||
description: Docker image to use for replicas.
|
||||
labels:
|
||||
type: object
|
||||
description: Labels to apply.
|
||||
env:
|
||||
type: array
|
||||
description: Environment variables to apply.
|
||||
properties:
|
||||
name:
|
||||
type: string
|
||||
value:
|
||||
type: string
|
||||
external_service:
|
||||
type: boolean
|
||||
description: If set to true, enable external load balancer.
|
||||
cluster_ip:
|
||||
type: string
|
||||
description: IP to use for the service
|
||||
privileged:
|
||||
type: boolean
|
||||
description: If set to true, enable privileged container
|
||||
volumes:
|
||||
type: array
|
||||
description: Volumes to mount.
|
||||
items:
|
||||
type: object
|
||||
properties:
|
||||
mounth_path:
|
||||
type: string
|
||||
description: Path to mount volume
|
||||
# See https://cloud.google.com/container-engine/docs/spec-schema?hl=en for possible volumes. Since we only use gcePersistentDisk and NFS in our examples we have only added these ones.
|
||||
oneOf:
|
||||
gcePersistentDisk:
|
||||
pdName:
|
||||
type: string
|
||||
description: Persistent's disk name
|
||||
fsType:
|
||||
type: string
|
||||
description: Filesystem type of the persistent disk
|
||||
nfs:
|
||||
server:
|
||||
type: string
|
||||
description: The hostname or IP address of the NFS server
|
||||
path:
|
||||
type: string
|
||||
description: The path that is exported by the NFS server
|
||||
readOnly:
|
||||
type: boolean
|
||||
description: Forces the NFS export to be mounted with read-only permissions
|
||||
|
@ -1,6 +0,0 @@
|
||||
imports:
|
||||
- path: spark.jinja
|
||||
|
||||
resources:
|
||||
- name: spark
|
||||
type: spark.jinja
|
@ -1,113 +0,0 @@
|
||||
{% set PROPERTIES = properties or {} %}
|
||||
{% set WORKERS = PROPERTIES['workers'] or 2 %}
|
||||
{% set REPO = PROPERTIES['repository'] or 'gcr.io/google_containers' %}
|
||||
{% set SPARK_VERSION = PROPERTIES['spark_version'] or '1.5.1_v2' %}
|
||||
{% set ZEPPELIN_VERSION = PROPERTIES['zeppelin_version'] or 'v0.5.5_v2' %}
|
||||
{% set MASTER_CPU = PROPERTIES['master_cpu'] or '100m' %}
|
||||
{% set ZEPPELIN_CPU = PROPERTIES['zeppelin_cpu'] or '100m' %}
|
||||
{% set WORKER_CPU = PROPERTIES['worker_cpu'] or '100m' %}
|
||||
|
||||
# TODO(zmerlynn): This can't be a standard replicatedservice (yet) because of:
|
||||
# - the double containerPort
|
||||
# - the cpu request
|
||||
# (neither are possible in the type as of v2)
|
||||
resources:
|
||||
- name: spark-master
|
||||
type: ReplicationController
|
||||
properties:
|
||||
kind: ReplicationController
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: spark-master-controller
|
||||
spec:
|
||||
replicas: 1
|
||||
selector:
|
||||
component: spark-master
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
component: spark-master
|
||||
spec:
|
||||
containers:
|
||||
- name: spark-master
|
||||
image: {{ REPO }}/spark-master:{{ SPARK_VERSION }}
|
||||
ports:
|
||||
- containerPort: 7077
|
||||
- containerPort: 8080
|
||||
resources:
|
||||
requests:
|
||||
cpu: {{ MASTER_CPU }}
|
||||
- name: spark-master-service
|
||||
type: Service
|
||||
properties:
|
||||
kind: Service
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: spark-master
|
||||
spec:
|
||||
ports:
|
||||
- port: 7077
|
||||
targetPort: 7077
|
||||
selector:
|
||||
component: spark-master
|
||||
- name: spark-webui
|
||||
type: Service
|
||||
properties:
|
||||
kind: Service
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: spark-webui
|
||||
spec:
|
||||
ports:
|
||||
- port: 8080
|
||||
targetPort: 8080
|
||||
selector:
|
||||
component: spark-master
|
||||
- name: spark-worker-controller
|
||||
type: ReplicationController
|
||||
properties:
|
||||
kind: ReplicationController
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: spark-worker-controller
|
||||
spec:
|
||||
replicas: 3
|
||||
selector:
|
||||
component: spark-worker
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
component: spark-worker
|
||||
spec:
|
||||
containers:
|
||||
- name: spark-worker
|
||||
image: {{ REPO }}/spark-worker:{{ SPARK_VERSION }}
|
||||
ports:
|
||||
- containerPort: 8081
|
||||
resources:
|
||||
requests:
|
||||
cpu: {{ WORKER_CPU }}
|
||||
- name: zeppelin-controller
|
||||
type: ReplicationController
|
||||
properties:
|
||||
kind: ReplicationController
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: zeppelin-controller
|
||||
spec:
|
||||
replicas: 1
|
||||
selector:
|
||||
component: zeppelin
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
component: zeppelin
|
||||
spec:
|
||||
containers:
|
||||
- name: zeppelin
|
||||
image: {{ REPO }}/zeppelin:{{ ZEPPELIN_VERSION }}
|
||||
ports:
|
||||
- containerPort: 8080
|
||||
resources:
|
||||
requests:
|
||||
cpu: {{ ZEPPELIN_CPU }}
|
@ -1,50 +0,0 @@
|
||||
info:
|
||||
title: Spark cluster with Zeppelin front-end
|
||||
description: |
|
||||
Defines a Spark cluster with a single master in standalone mode,
|
||||
and a Zeppelin web notebook front-end. After deploying the
|
||||
cluster, the Spark WebUI can be accessed by starting:
|
||||
|
||||
kubectl proxy --port=8001 &
|
||||
|
||||
Then visiting:
|
||||
|
||||
http://localhost:8001/api/v1/proxy/namespaces/default/services/spark-webui/
|
||||
|
||||
The Zeppelin WebUI can be access by finding the Zeppelin pod and port-forwarding:
|
||||
|
||||
kubectl get pods -lcomponent=zeppelin # Take the pod from here
|
||||
kubectl port-forward zeppelin-controller-abcef :8080
|
||||
|
||||
Then visit the forwarded port.
|
||||
|
||||
properties:
|
||||
master_cpu:
|
||||
type: string
|
||||
default: 100m
|
||||
description: CPU request for the master (in KCUs) (see http://kubernetes.io/v1.1/docs/design/resources.html)
|
||||
|
||||
workers:
|
||||
type: int
|
||||
default: 3
|
||||
description: Number of Spark workers.
|
||||
|
||||
worker_cpu:
|
||||
type: string
|
||||
default: 100m
|
||||
description: CPU request for each worker (in KCUs) (see http://kubernetes.io/v1.1/docs/design/resources.html)
|
||||
|
||||
repository:
|
||||
type: string
|
||||
default: gcr.io/google_containers
|
||||
description: Docker repo that houses the {spark-worker, spark-master, zeppelin} images.
|
||||
|
||||
spark_version:
|
||||
type: string
|
||||
default: 1.5.1_v2
|
||||
description: spark-worker / spark-master image version to use
|
||||
|
||||
zeppelin_version:
|
||||
type: string
|
||||
default: 0.5.5_v2
|
||||
description: zeppelin image version to use
|
Loading…
Reference in new issue