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Elasticsearch Discovery with Kubernetes

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FROM java:7-jre
RUN apt-get update && \
apt-get install -y curl && \
apt-get clean
RUN cd / && \
curl -O https://download.elastic.co/elasticsearch/elasticsearch/elasticsearch-1.5.2.tar.gz && \
tar xf elasticsearch-1.5.2.tar.gz && \
rm elasticsearch-1.5.2.tar.gz
COPY elasticsearch.yml /elasticsearch-1.5.2/config/elasticsearch.yml
COPY run.sh /
COPY elasticsearch_discovery /
EXPOSE 9200 9300
CMD ["/run.sh"]

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.PHONY: elasticsearch_discovery build push all
TAG = 1.0
build:
docker build -t kubernetes/elasticsearch:$(TAG) .
push:
docker push kubernetes/elasticsearch:$(TAG)
elasticsearch_discovery:
go build elasticsearch_discovery.go
all: elasticsearch_discovery build push

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# Elasticsearch for Kubernetes
This directory contains the source for a Docker image that creates an instance
of [Elasticsearch](https://www.elastic.co/products/elasticsearch) 1.5.2 which can
be used to automatically form clusters when used
with replication controllers. This will not work with the library Elasticsearch image
because multicast discovery will not find the other pod IPs needed to form a cluster. This
image detects other Elasticsearch pods running in a specified namespace with a given
label selector. The detected instances are used to form a list of peer hosts which
are used as part of the unicast discovery mechansim for Elasticsearch. The detection
of the peer nodes is done by a program which communicates with the Kubernetes API
server to get a list of matching Elasticsearch pods. To enable authenticated
communication this image needs a secret to be mounted at `/etc/apiserver-secret`
with the basic authentication username and password.
Here is an example replication controller specification that creates 4 instances of Elasticsearch which is in the file
[music-rc.yaml](music-rc.yaml).
```
apiVersion: v1beta3
kind: ReplicationController
metadata:
labels:
name: music-db
namespace: mytunes
name: music-db
spec:
replicas: 4
selector:
name: music-db
template:
metadata:
labels:
name: music-db
spec:
containers:
- name: es
image: kubernetes/elasticsearch:1.0
env:
- name: "CLUSTER_NAME"
value: "mytunes-db"
- name: "SELECTOR"
value: "name=music-db"
- name: "NAMESPACE"
value: "mytunes"
ports:
- name: es
containerPort: 9200
- name: es-transport
containerPort: 9300
volumeMounts:
- name: apiserver-secret
mountPath: /etc/apiserver-secret
readOnly: true
volumes:
- name: apiserver-secret
secret:
secretName: apiserver-secret
```
The `CLUSTER_NAME` variable gives a name to the cluster and allows multiple separate clusters to
exist in the same namespace.
The `SELECTOR` variable should be set to a label query that identifies the Elasticsearch
nodes that should participate in this cluster. For our example we specify `name=music-db` to
match all pods that have the label `name` set to the value `music-db`.
The `NAMESPACE` variable identifies the namespace
to be used to search for Elasticsearch pods and this should be the same as the namespace specified
for the replication controller (in this case `mytunes`).
Before creating pods with the replication controller a secret containing the bearer authentication token
should be set up. A template is provided in the file [apiserver-secret.yaml](apiserver-secret.yaml):
```
apiVersion: v1beta3
kind: Secret
metadata:
name: apiserver-secret
namespace: NAMESPACE
data:
token: "TOKEN"
```
Replace `NAMESPACE` with the actual namespace to be used and `TOKEN` with the basic64 encoded
versions of the bearer token reported by `kubectl config view` e.g.
```
$ kubectl config view
...
- name: kubernetes-logging_kubernetes-basic-auth
...
token: yGlDcMvSZPX4PyP0Q5bHgAYgi1iyEHv2
...
$ echo yGlDcMvSZPX4PyP0Q5bHgAYgi1iyEHv2 | base64
eUdsRGNNdlNaUFg0UHlQMFE1YkhnQVlnaTFpeUVIdjIK=
```
resulting in the file:
```
apiVersion: v1beta3
kind: Secret
metadata:
name: apiserver-secret
namespace: mytunes
data:
token: "eUdsRGNNdlNaUFg0UHlQMFE1YkhnQVlnaTFpeUVIdjIK="
```
which can be used to create the secret in your namespace:
```
kubectl create -f apiserver-secret.yaml --namespace=mytunes
secrets/apiserver-secret
```
Now you are ready to create the replication controller which will then create the pods:
```
$ kubectl create -f music-rc.yaml --namespace=mytunes
replicationcontrollers/music-db
```
It's also useful to have a service with an external load balancer for accessing the Elasticsearch
cluster which can be found in the file [music-service.yaml](music-service.yaml).
```
apiVersion: v1beta3
kind: Service
metadata:
name: music-server
namespace: mytunes
labels:
name: music-db
spec:
selector:
name: music-db
ports:
- name: db
port: 9200
targetPort: es
createExternalLoadBalancer: true
```
Let's create the service with an external load balancer:
```
$ kubectl create -f music-service.yaml --namespace=mytunes
services/music-server
```
Let's see what we've got:
```
$ kubectl get pods,rc,services,secrets --namespace=mytunes
POD IP CONTAINER(S) IMAGE(S) HOST LABELS STATUS CREATED MESSAGE
music-db-0fwsu 10.244.2.48 kubernetes-minion-m49b/104.197.35.221 name=music-db Running 6 minutes
es kubernetes/elasticsearch:1.0 Running 29 seconds
music-db-5pc2e 10.244.0.24 kubernetes-minion-3c8c/146.148.41.184 name=music-db Running 6 minutes
es kubernetes/elasticsearch:1.0 Running 6 minutes
music-db-bjqmv 10.244.3.31 kubernetes-minion-zey5/104.154.59.10 name=music-db Running 6 minutes
es kubernetes/elasticsearch:1.0 Running 19 seconds
music-db-swtrs 10.244.1.37 kubernetes-minion-f9dw/130.211.159.230 name=music-db Running 6 minutes
es kubernetes/elasticsearch:1.0 Running 6 minutes
CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
music-db es kubernetes/elasticsearch:1.0 name=music-db 4
NAME LABELS SELECTOR IP(S) PORT(S)
music-server name=music-db name=music-db 10.0.138.61 9200/TCP
104.197.12.157
NAME TYPE DATA
apiserver-secret Opaque 2
```
This shows 4 instances of Elasticsearch running. After making sure that port 9200 is accessible for this cluster (e.g. using a firewall rule for GCE) we can make queries via the service which will be fielded by the matching Elasticsearch pods.
```
$ curl 104.197.12.157:9200
{
"status" : 200,
"name" : "Warpath",
"cluster_name" : "mytunes-db",
"version" : {
"number" : "1.5.2",
"build_hash" : "62ff9868b4c8a0c45860bebb259e21980778ab1c",
"build_timestamp" : "2015-04-27T09:21:06Z",
"build_snapshot" : false,
"lucene_version" : "4.10.4"
},
"tagline" : "You Know, for Search"
}
$ curl 104.197.12.157:9200
{
"status" : 200,
"name" : "Callisto",
"cluster_name" : "mytunes-db",
"version" : {
"number" : "1.5.2",
"build_hash" : "62ff9868b4c8a0c45860bebb259e21980778ab1c",
"build_timestamp" : "2015-04-27T09:21:06Z",
"build_snapshot" : false,
"lucene_version" : "4.10.4"
},
"tagline" : "You Know, for Search"
}
```
We can query the nodes to confirm that an Elasticsearch cluster has been formed.
```
$ curl 104.197.12.157:9200/_nodes?pretty=true
{
"cluster_name" : "mytunes-db",
"nodes" : {
"u-KrvywFQmyaH5BulSclsA" : {
"name" : "Jonas Harrow",
...
"discovery" : {
"zen" : {
"ping" : {
"unicast" : {
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
},
...
"name" : "Warpath",
...
"discovery" : {
"zen" : {
"ping" : {
"unicast" : {
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
},
...
"name" : "Callisto",
...
"discovery" : {
"zen" : {
"ping" : {
"unicast" : {
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
},
...
"name" : "Vapor",
...
"discovery" : {
"zen" : {
"ping" : {
"unicast" : {
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
...
```
Let's ramp up the number of Elasticsearch nodes from 4 to 10:
```
$ kubectl resize --replicas=10 replicationcontrollers music-db --namespace=mytunes
resized
$ kubectl get pods --namespace=mytunes
POD IP CONTAINER(S) IMAGE(S) HOST LABELS STATUS CREATED MESSAGE
music-db-0fwsu 10.244.2.48 kubernetes-minion-m49b/104.197.35.221 name=music-db Running 33 minutes
es kubernetes/elasticsearch:1.0 Running 26 minutes
music-db-2erje 10.244.2.50 kubernetes-minion-m49b/104.197.35.221 name=music-db Running 48 seconds
es kubernetes/elasticsearch:1.0 Running 46 seconds
music-db-5pc2e 10.244.0.24 kubernetes-minion-3c8c/146.148.41.184 name=music-db Running 33 minutes
es kubernetes/elasticsearch:1.0 Running 32 minutes
music-db-8rkvp 10.244.3.33 kubernetes-minion-zey5/104.154.59.10 name=music-db Running 48 seconds
es kubernetes/elasticsearch:1.0 Running 46 seconds
music-db-bjqmv 10.244.3.31 kubernetes-minion-zey5/104.154.59.10 name=music-db Running 33 minutes
es kubernetes/elasticsearch:1.0 Running 26 minutes
music-db-efc46 10.244.2.49 kubernetes-minion-m49b/104.197.35.221 name=music-db Running 48 seconds
es kubernetes/elasticsearch:1.0 Running 46 seconds
music-db-fhqyg 10.244.0.25 kubernetes-minion-3c8c/146.148.41.184 name=music-db Running 48 seconds
es kubernetes/elasticsearch:1.0 Running 47 seconds
music-db-guxe4 10.244.3.32 kubernetes-minion-zey5/104.154.59.10 name=music-db Running 48 seconds
es kubernetes/elasticsearch:1.0 Running 46 seconds
music-db-pbiq1 10.244.1.38 kubernetes-minion-f9dw/130.211.159.230 name=music-db Running 48 seconds
es kubernetes/elasticsearch:1.0 Running 47 seconds
music-db-swtrs 10.244.1.37 kubernetes-minion-f9dw/130.211.159.230 name=music-db Running 33 minutes
es kubernetes/elasticsearch:1.0 Running 32 minutes
```
Let's check to make sure that these 10 nodes are part of the same Elasticsearch cluster:
```
$ curl 104.197.12.157:9200/_nodes?pretty=true | grep name
"cluster_name" : "mytunes-db",
"name" : "Killraven",
"name" : "Killraven",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Tefral the Surveyor",
"name" : "Tefral the Surveyor",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Jonas Harrow",
"name" : "Jonas Harrow",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Warpath",
"name" : "Warpath",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Brute I",
"name" : "Brute I",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Callisto",
"name" : "Callisto",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Vapor",
"name" : "Vapor",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Timeslip",
"name" : "Timeslip",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Magik",
"name" : "Magik",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
"name" : "Brother Voodoo",
"name" : "Brother Voodoo",
"name" : "mytunes-db"
"vm_name" : "OpenJDK 64-Bit Server VM",
"name" : "eth0",
```

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apiVersion: v1beta3
kind: Secret
metadata:
name: apiserver-secret
namespace: NAMESPACE
data:
token: "TOKEN"

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##################### Elasticsearch Configuration Example #####################
# This file contains an overview of various configuration settings,
# targeted at operations staff. Application developers should
# consult the guide at <http://elasticsearch.org/guide>.
#
# The installation procedure is covered at
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup.html>.
#
# Elasticsearch comes with reasonable defaults for most settings,
# so you can try it out without bothering with configuration.
#
# Most of the time, these defaults are just fine for running a production
# cluster. If you're fine-tuning your cluster, or wondering about the
# effect of certain configuration option, please _do ask_ on the
# mailing list or IRC channel [http://elasticsearch.org/community].
# Any element in the configuration can be replaced with environment variables
# by placing them in ${...} notation. For example:
#
#node.rack: ${RACK_ENV_VAR}
# For information on supported formats and syntax for the config file, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup-configuration.html>
################################### Cluster ###################################
# Cluster name identifies your cluster for auto-discovery. If you're running
# multiple clusters on the same network, make sure you're using unique names.
#
cluster.name: ${CLUSTER_NAME}
#################################### Node #####################################
# Node names are generated dynamically on startup, so you're relieved
# from configuring them manually. You can tie this node to a specific name:
#
#node.name: "Franz Kafka"
# Every node can be configured to allow or deny being eligible as the master,
# and to allow or deny to store the data.
#
# Allow this node to be eligible as a master node (enabled by default):
#
node.master: ${NODE_MASTER}
#
# Allow this node to store data (enabled by default):
#
node.data: ${NODE_DATA}
# You can exploit these settings to design advanced cluster topologies.
#
# 1. You want this node to never become a master node, only to hold data.
# This will be the "workhorse" of your cluster.
#
#node.master: false
#node.data: true
#
# 2. You want this node to only serve as a master: to not store any data and
# to have free resources. This will be the "coordinator" of your cluster.
#
#node.master: true
#node.data: false
#
# 3. You want this node to be neither master nor data node, but
# to act as a "search load balancer" (fetching data from nodes,
# aggregating results, etc.)
#
#node.master: false
#node.data: false
# Use the Cluster Health API [http://localhost:9200/_cluster/health], the
# Node Info API [http://localhost:9200/_nodes] or GUI tools
# such as <http://www.elasticsearch.org/overview/marvel/>,
# <http://github.com/karmi/elasticsearch-paramedic>,
# <http://github.com/lukas-vlcek/bigdesk> and
# <http://mobz.github.com/elasticsearch-head> to inspect the cluster state.
# A node can have generic attributes associated with it, which can later be used
# for customized shard allocation filtering, or allocation awareness. An attribute
# is a simple key value pair, similar to node.key: value, here is an example:
#
#node.rack: rack314
# By default, multiple nodes are allowed to start from the same installation location
# to disable it, set the following:
#node.max_local_storage_nodes: 1
#################################### Index ####################################
# You can set a number of options (such as shard/replica options, mapping
# or analyzer definitions, translog settings, ...) for indices globally,
# in this file.
#
# Note, that it makes more sense to configure index settings specifically for
# a certain index, either when creating it or by using the index templates API.
#
# See <http://elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules.html> and
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/indices-create-index.html>
# for more information.
# Set the number of shards (splits) of an index (5 by default):
#
#index.number_of_shards: 5
# Set the number of replicas (additional copies) of an index (1 by default):
#
#index.number_of_replicas: 1
# Note, that for development on a local machine, with small indices, it usually
# makes sense to "disable" the distributed features:
#
#index.number_of_shards: 1
#index.number_of_replicas: 0
# These settings directly affect the performance of index and search operations
# in your cluster. Assuming you have enough machines to hold shards and
# replicas, the rule of thumb is:
#
# 1. Having more *shards* enhances the _indexing_ performance and allows to
# _distribute_ a big index across machines.
# 2. Having more *replicas* enhances the _search_ performance and improves the
# cluster _availability_.
#
# The "number_of_shards" is a one-time setting for an index.
#
# The "number_of_replicas" can be increased or decreased anytime,
# by using the Index Update Settings API.
#
# Elasticsearch takes care about load balancing, relocating, gathering the
# results from nodes, etc. Experiment with different settings to fine-tune
# your setup.
# Use the Index Status API (<http://localhost:9200/A/_status>) to inspect
# the index status.
#################################### Paths ####################################
# Path to directory containing configuration (this file and logging.yml):
#
#path.conf: /path/to/conf
# Path to directory where to store index data allocated for this node.
#
#path.data: /path/to/data
#
# Can optionally include more than one location, causing data to be striped across
# the locations (a la RAID 0) on a file level, favouring locations with most free
# space on creation. For example:
#
#path.data: /path/to/data1,/path/to/data2
# Path to temporary files:
#
#path.work: /path/to/work
# Path to log files:
#
#path.logs: /path/to/logs
# Path to where plugins are installed:
#
#path.plugins: /path/to/plugins
#################################### Plugin ###################################
# If a plugin listed here is not installed for current node, the node will not start.
#
#plugin.mandatory: mapper-attachments,lang-groovy
################################### Memory ####################################
# Elasticsearch performs poorly when JVM starts swapping: you should ensure that
# it _never_ swaps.
#
# Set this property to true to lock the memory:
#
#bootstrap.mlockall: true
# Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set
# to the same value, and that the machine has enough memory to allocate
# for Elasticsearch, leaving enough memory for the operating system itself.
#
# You should also make sure that the Elasticsearch process is allowed to lock
# the memory, eg. by using `ulimit -l unlimited`.
############################## Network And HTTP ###############################
# Elasticsearch, by default, binds itself to the 0.0.0.0 address, and listens
# on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node
# communication. (the range means that if the port is busy, it will automatically
# try the next port).
# Set the bind address specifically (IPv4 or IPv6):
#
#network.bind_host: 192.168.0.1
# Set the address other nodes will use to communicate with this node. If not
# set, it is automatically derived. It must point to an actual IP address.
#
#network.publish_host: 192.168.0.1
# Set both 'bind_host' and 'publish_host':
#
#network.host: 192.168.0.1
# Set a custom port for the node to node communication (9300 by default):
#
transport.tcp.port: ${TRANSPORT_PORT}
# Enable compression for all communication between nodes (disabled by default):
#
#transport.tcp.compress: true
# Set a custom port to listen for HTTP traffic:
#
http.port: ${HTTP_PORT}
# Set a custom allowed content length:
#
#http.max_content_length: 100mb
# Disable HTTP completely:
#
#http.enabled: false
################################### Gateway ###################################
# The gateway allows for persisting the cluster state between full cluster
# restarts. Every change to the state (such as adding an index) will be stored
# in the gateway, and when the cluster starts up for the first time,
# it will read its state from the gateway.
# There are several types of gateway implementations. For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-gateway.html>.
# The default gateway type is the "local" gateway (recommended):
#
#gateway.type: local
# Settings below control how and when to start the initial recovery process on
# a full cluster restart (to reuse as much local data as possible when using shared
# gateway).
# Allow recovery process after N nodes in a cluster are up:
#
#gateway.recover_after_nodes: 1
# Set the timeout to initiate the recovery process, once the N nodes
# from previous setting are up (accepts time value):
#
#gateway.recover_after_time: 5m
# Set how many nodes are expected in this cluster. Once these N nodes
# are up (and recover_after_nodes is met), begin recovery process immediately
# (without waiting for recover_after_time to expire):
#
#gateway.expected_nodes: 2
############################# Recovery Throttling #############################
# These settings allow to control the process of shards allocation between
# nodes during initial recovery, replica allocation, rebalancing,
# or when adding and removing nodes.
# Set the number of concurrent recoveries happening on a node:
#
# 1. During the initial recovery
#
#cluster.routing.allocation.node_initial_primaries_recoveries: 4
#
# 2. During adding/removing nodes, rebalancing, etc
#
#cluster.routing.allocation.node_concurrent_recoveries: 2
# Set to throttle throughput when recovering (eg. 100mb, by default 20mb):
#
#indices.recovery.max_bytes_per_sec: 20mb
# Set to limit the number of open concurrent streams when
# recovering a shard from a peer:
#
#indices.recovery.concurrent_streams: 5
################################## Discovery ##################################
# Discovery infrastructure ensures nodes can be found within a cluster
# and master node is elected. Multicast discovery is the default.
# Set to ensure a node sees N other master eligible nodes to be considered
# operational within the cluster. This should be set to a quorum/majority of
# the master-eligible nodes in the cluster.
#
#discovery.zen.minimum_master_nodes: 1
# Set the time to wait for ping responses from other nodes when discovering.
# Set this option to a higher value on a slow or congested network
# to minimize discovery failures:
#
#discovery.zen.ping.timeout: 3s
# For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html>
# Unicast discovery allows to explicitly control which nodes will be used
# to discover the cluster. It can be used when multicast is not present,
# or to restrict the cluster communication-wise.
#
# 1. Disable multicast discovery (enabled by default):
#
discovery.zen.ping.multicast.enabled: ${MULTICAST}
#
# 2. Configure an initial list of master nodes in the cluster
# to perform discovery when new nodes (master or data) are started:
#
#discovery.zen.ping.unicast.hosts: ${UNICAST_HOSTS}
# EC2 discovery allows to use AWS EC2 API in order to perform discovery.
#
# You have to install the cloud-aws plugin for enabling the EC2 discovery.
#
# For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-ec2.html>
#
# See <http://elasticsearch.org/tutorials/elasticsearch-on-ec2/>
# for a step-by-step tutorial.
# GCE discovery allows to use Google Compute Engine API in order to perform discovery.
#
# You have to install the cloud-gce plugin for enabling the GCE discovery.
#
# For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-gce>.
# Azure discovery allows to use Azure API in order to perform discovery.
#
# You have to install the cloud-azure plugin for enabling the Azure discovery.
#
# For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-azure>.
################################## Slow Log ##################################
# Shard level query and fetch threshold logging.
#index.search.slowlog.threshold.query.warn: 10s
#index.search.slowlog.threshold.query.info: 5s
#index.search.slowlog.threshold.query.debug: 2s
#index.search.slowlog.threshold.query.trace: 500ms
#index.search.slowlog.threshold.fetch.warn: 1s
#index.search.slowlog.threshold.fetch.info: 800ms
#index.search.slowlog.threshold.fetch.debug: 500ms
#index.search.slowlog.threshold.fetch.trace: 200ms
#index.indexing.slowlog.threshold.index.warn: 10s
#index.indexing.slowlog.threshold.index.info: 5s
#index.indexing.slowlog.threshold.index.debug: 2s
#index.indexing.slowlog.threshold.index.trace: 500ms
################################## GC Logging ################################
#monitor.jvm.gc.young.warn: 1000ms
#monitor.jvm.gc.young.info: 700ms
#monitor.jvm.gc.young.debug: 400ms
#monitor.jvm.gc.old.warn: 10s
#monitor.jvm.gc.old.info: 5s
#monitor.jvm.gc.old.debug: 2s
################################## Security ################################
# Uncomment if you want to enable JSONP as a valid return transport on the
# http server. With this enabled, it may pose a security risk, so disabling
# it unless you need it is recommended (it is disabled by default).
#
#http.jsonp.enable: true

97
examples/elasticsearch/elasticsearch_discovery.go Normal file
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/*
Copyright 2015 The Kubernetes 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.
*/
package main
import (
"flag"
"fmt"
"os"
"strings"
"time"
"github.com/GoogleCloudPlatform/kubernetes/pkg/api"
"github.com/GoogleCloudPlatform/kubernetes/pkg/client"
"github.com/GoogleCloudPlatform/kubernetes/pkg/fields"
"github.com/GoogleCloudPlatform/kubernetes/pkg/labels"
"github.com/golang/glog"
)
var (
token = flag.String("token", "", "Bearer token for authentication to the API server.")
server = flag.String("server", "", "The address and port of the Kubernetes API server")
namespace = flag.String("namespace", api.NamespaceDefault, "The namespace containing Elasticsearch pods")
selector = flag.String("selector", "", "Selector (label query) for selecting Elasticsearch pods")
)
func main() {
flag.Parse()
glog.Info("Elasticsearch discovery")
apiServer := *server
if apiServer == "" {
kubernetesService := os.Getenv("KUBERNETES_SERVICE_HOST")
if kubernetesService == "" {
glog.Fatalf("Please specify the Kubernetes server with --server")
}
apiServer = fmt.Sprintf("https://%s:%s", kubernetesService, os.Getenv("KUBERNETES_SERVICE_PORT"))
}
glog.Infof("Server: %s", apiServer)
glog.Infof("Namespace: %q", *namespace)
glog.Infof("selector: %q", *selector)
config := client.Config{
Host: apiServer,
BearerToken: *token,
Insecure: true,
}
c, err := client.New(&config)
if err != nil {
glog.Fatalf("Failed to make client: %v", err)
}
l, err := labels.Parse(*selector)
if err != nil {
glog.Fatalf("Failed to parse selector %q: %v", *selector, err)
}
pods, err := c.Pods(*namespace).List(l, fields.Everything())
if err != nil {
glog.Fatalf("Failed to list pods: %v", err)
}
glog.Infof("Elasticsearch pods in namespace %s with selector %q", *namespace, *selector)
podIPs := []string{}
for i := range pods.Items {
p := &pods.Items[i]
for attempt := 0; attempt < 10; attempt++ {
glog.Infof("%d: %s PodIP: %s", i, p.Name, p.Status.PodIP)
if p.Status.PodIP != "" {
podIPs = append(podIPs, fmt.Sprintf(`"%s"`, p.Status.PodIP))
break
}
time.Sleep(1 * time.Second)
p, err = c.Pods(*namespace).Get(p.Name)
if err != nil {
glog.Warningf("Failed to get pod %s: %v", p.Name, err)
}
}
if p.Status.PodIP == "" {
glog.Warningf("Failed to obtain PodIP for %s", p.Name)
}
}
fmt.Printf("discovery.zen.ping.unicast.hosts: [%s]\n", strings.Join(podIPs, ", "))
}

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examples/elasticsearch/music-rc.yaml Normal file
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apiVersion: v1beta3
kind: ReplicationController
metadata:
labels:
name: music-db
namespace: mytunes
name: music-db
spec:
replicas: 4
selector:
name: music-db
template:
metadata:
labels:
name: music-db
spec:
containers:
- name: es
image: kubernetes/elasticsearch:1.0
env:
- name: "CLUSTER_NAME"
value: "mytunes-db"
- name: "SELECTOR"
value: "name=music-db"
- name: "NAMESPACE"
value: "mytunes"
ports:
- name: es
containerPort: 9200
- name: es-transport
containerPort: 9300
volumeMounts:
- name: apiserver-secret
mountPath: /etc/apiserver-secret
readOnly: true
volumes:
- name: apiserver-secret
secret:
secretName: apiserver-secret

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examples/elasticsearch/music-service.yaml Normal file
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apiVersion: v1beta3
kind: Service
metadata:
name: music-server
namespace: mytunes
labels:
name: music-db
spec:
selector:
name: music-db
ports:
- name: db
port: 9200
targetPort: es
createExternalLoadBalancer: true

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examples/elasticsearch/run.sh Executable file
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#!/bin/bash
# Copyright 2015 The Kubernetes 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.
export CLUSTER_NAME=${CLUSTER_NAME:-elasticsearch-default}
export NODE_MASTER=${NODE_MASTER:-true}
export NODE_DATA=${NODE_DATA:-true}
export MULTICAST=${MULTICAST:-false}
readonly TOKEN=$(cat /etc/apiserver-secret/token)
/elasticsearch_discovery --namespace="${NAMESPACE}" --token="${TOKEN}" --selector="${SELECTOR}" >> /elasticsearch-1.5.2/config/elasticsearch.yml
export HTTP_PORT=${HTTP_PORT:-9200}
export TRANSPORT_PORT=${TRANSPORT_PORT:-9300}
/elasticsearch-1.5.2/bin/elasticsearch