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README.md
Google Compute Engine Cloud Plugin for Elasticsearch
The GCE Cloud plugin allows to use GCE API for the unicast discovery mechanism.
In order to install the plugin, simply run: bin/plugin -install elasticsearch/elasticsearch-cloud-gce/1.0.0-SNAPSHOT
.
----------------------------------------------
| GCE Cloud Plugin | Elasticsearch |
----------------------------------------------
| 1.0.0-SNAPSHOT (master) | 0.90 -> master |
----------------------------------------------
Google Compute Engine Virtual Machine Discovery
Google Compute Engine VM discovery allows to use the google APIs to perform automatic discovery (similar to multicast in non hostile multicast environments). Here is a simple sample configuration:
cloud:
gce:
project_id: <your-google-project-id>
zone: <your-zone>
discovery:
type: gce
How to start (short story)
- Create Google Compute Engine instance
- Install Elasticsearch
- Install Google Compute Engine Cloud plugin
- Modify
elasticsearch.yml
file - Start Elasticsearch
How to start (long story)
Prerequisites
Before starting, you should have:
- Your project ID. Let's say here
es-cloud
. Get it from Google APIS Console. - GCUtil
Creating your first instance
gcutil --project=es-cloud addinstance myesnode1 --service_account_scope=compute-rw,storage-full --persistent_boot_disk
You will be asked to open a link in your browser. Login and allow access to listed services. You will get back a verification code. Copy and paste it in your terminal.
You should get Authentication successful.
message.
Then, choose your zone. Let's say here that we choose europe-west1-a
.
Choose your compute instance size. Let's say f1-micro
.
Choose your OS. Let's say projects/debian-cloud/global/images/debian-7-wheezy-v20130617
.
You may be asked to create a ssh key. Follow instructions to create one.
When done, a report like this one should appears:
Table of resources:
+-----------+--------------+-------+---------+--------------+----------------+----------------+----------------+---------+----------------+
| name | machine-type | image | network | network-ip | external-ip | disks | zone | status | status-message |
+-----------+--------------+-------+---------+--------------+----------------+----------------+----------------+---------+----------------+
| myesnode1 | f1-micro | | default | 10.240.20.57 | 192.158.29.199 | boot-myesnode1 | europe-west1-a | RUNNING | |
+-----------+--------------+-------+---------+--------------+----------------+----------------+----------------+---------+----------------+
You can now connect to your machine using the external IP address in order to install Elasticsearch:
ssh -i ~/.ssh/google_compute_engine 192.158.29.199
Once connected, install Elasticsearch:
sudo apt-get update
# Install curl if needed
sudo apt-get install curl
# Download Elasticsearch
curl https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-0.90.2.deb -o elasticsearch-0.90.2.deb
# Prepare Java installation
sudo apt-get install java7-runtime-headless
# Prepare Elasticsearch installation
sudo dpkg -i elasticsearch-0.90.2.deb
# Check that elasticsearch is running:
curl http://localhost:9200/
This command should give you a JSON result:
{
"ok" : true,
"status" : 200,
"name" : "Lunatica",
"version" : {
"number" : "0.90.2",
"snapshot_build" : false
},
"tagline" : "You Know, for Search"
}
Install elasticsearch cloud gce plugin
Install the plugin:
# Use Plugin Manager to install it
sudo /usr/share/elasticsearch/bin/plugin -install elasticsearch/elasticsearch-cloud-gce/1.0.0-SNAPSHOT
# Configure it:
sudo vi /etc/elasticsearch/elasticsearch.yml
And add the following lines:
cloud:
gce:
project_id: es-cloud
zone: europe-west1-a
discovery:
type: gce
Restart elasticsearch:
sudo /etc/init.d/elasticsearch restart
Cloning your existing machine
In order to build a cluster on many nodes, you can clone your configured instance to new nodes. You won't have to reinstall everything!
First create an image of your running instance and upload it to Google Cloud Storage:
# Create an image of yur current instance
sudo python /usr/share/imagebundle/image_bundle.py \
-r / -o /tmp/ --log_file=/tmp/abc.log
# An image has been created in `/tmp` directory:
ls /tmp
e4686d7f5bf904a924ae0cfeb58d0827c6d5b966.image.tar.gz
# Upload your image to Google Cloud Storage:
# Launch this command and follow instructions to give your instance an access to your storage
gsutil config
# Create a bucket to hold your image, let's say `esimage`:
gsutil mb gs://esimage
# Copy your image to this bucket:
gsutil cp /tmp/e4686d7f5bf904a924ae0cfeb58d0827c6d5b966.image.tar.gz gs://esimage
# Then add your image to images collection:
gcutil listkernels --project es-cloud
+----------------------------------------------+--------------------------------------------------+-------------+
| name | description | deprecation |
+----------------------------------------------+--------------------------------------------------+-------------+
| projects/google/global/kernels/gce-20120621 | 2.6.39-gcg built 2012-03-29 01:07:00 | DEPRECATED |
| projects/google/global/kernels/gce-v20130603 | SCSI-enabled 3.3.8-gcg built 2013-05-29 01:04:00 | |
+----------------------------------------------+--------------------------------------------------+-------------+
# Note the kernel you prefer to use and add your image to your catalog:
gcutil --project=es-cloud addimage elasticsearch-0-90-2 \
gs://esimage/e4686d7f5bf904a924ae0cfeb58d0827c6d5b966.image.tar.gz \
--preferred_kernel=projects/google/global/kernels/gce-v20130603
Start new instances
As you have now an image, you can create as many instances as you need:
# Just change node name (here myesnode2)
gcutil --project=es-cloud addinstance --image=elasticsearch-0-90-2 \
--kernel=projects/google/global/kernels/gce-v20130603 myesnode2 \
--zone europe-west1-a --machine_type f1-micro --service_account_scope=compute-rw \
--persistent_boot_disk
Remove an instance (aka shut it down)
You can use Google Cloud Console or CLI to manage your instances:
# Stopping and removing instances
gcutil --project=es-cloud deleteinstance myesnode1 myesnode2 --zone=europe-west1-a
# Consider removing disk as well if you don't need them anymore
gcutil --project=es-cloud deletedisk boot-myesnode1 boot-myesnode2 --zone=europe-west1-a
Filtering by tags
The GCE discovery can also filter machines to include in the cluster based on tags using discovery.gce.tags
settings.
For example, setting discovery.gce.tags
to dev
will only filter instances having a tag set to dev
. Several tags
set will require all of those tags to be set for the instance to be included.
One practical use for tag filtering is when an GCE cluster contains many nodes that are not running elasticsearch. In this case (particularly with high ping_timeout values) there is a risk that a new node's discovery phase will end before it has found the cluster (which will result in it declaring itself master of a new cluster with the same name - highly undesirable). Adding tag on elasticsearch GCE nodes and then filtering by that tag will resolve this issue.
Add your tag when building the new instance:
gcutil --project=es-cloud addinstance myesnode1 --service_account_scope=compute-rw --persistent_boot_disk \
--tags=elasticsearch,dev
Then, define it in elasticsearch.yml
:
cloud:
gce:
project_id: es-cloud
zone: europe-west1-a
discovery:
type: gce
gce:
tags: elasticsearch, dev
Tips
If you don't want to repeat the project id each time, you can save it in ~/.gcutil.flags
file using:
gcutil getproject --project=es-cloud --cache_flag_values
~/.gcutil.flags
file now contains:
--project=es-cloud
License
This software is licensed under the Apache 2 license, quoted below.
Copyright 2009-2013 ElasticSearch <http://www.elasticsearch.org>
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.