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/2.0.0.

• For master elasticsearch versions, look at master branch.
• For 1.1.x elasticsearch versions, look at es-1.1 branch.
• For 1.0.x elasticsearch versions, look at es-1.0 branch.
• For 0.90.x elasticsearch versions, look at es-0.90 branch.

GCE Cloud Plugin	elasticsearch	gce api	Release date
3.0.0-SNAPSHOT	master	1.18.0-rc	XXXX-XX-XX

Please read documentation relative to the version you are using:

• 3.0.0-SNAPSHOT

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
wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.0.0.RC1.deb

# Prepare Java installation
sudo apt-get install java7-runtime-headless

# Prepare Elasticsearch installation
sudo dpkg -i elasticsearch-1.0.0.RC1.deb

# Check that elasticsearch is running:
curl http://localhost:9200/

This command should give you a JSON result:

{
  "ok" : true,
  "status" : 200,
  "name" : "Shriker",
  "version" : {
    "number" : "1.0.0.RC1",
    "build_hash" : "0a5781f44876e8d1c30b6360628d59cb2a7a2bbb",
    "build_timestamp" : "2014-01-10T10:18:37Z",
    "build_snapshot" : false,
    "lucene_version" : "4.6"
  },
  "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/2.0.0.RC1

# 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

If anything goes wrong, you should check logs:

tail -f /var/log/elasticsearch/elasticsearch.log

If needed, you can change log level to TRACE by modifying sudo vi /etc/elasticsearch/logging.yml:

  # discovery
  discovery.gce: TRACE

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-1-0-0-RC1 \
       gs://esimage/e4686d7f5bf904a924ae0cfeb58d0827c6d5b966.image.tar.gz \
       --preferred_kernel=projects/google/global/kernels/gce-v20130603

# If the previous command did not work for you, logout from your instance
# and launch the same command from your local machine.

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-1-0-0-RC1 \
       --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

Changing default transport port

By default, elasticsearch GCE plugin assumes that you run elasticsearch on 9300 default port. But you can specify the port value elasticsearch is meant to use using google compute engine metadata es_port:

When creating instance

Add --metadata=es_port:9301 option:

# when creating first instance
gcutil --project=es-cloud addinstance myesnode1 \
       --service_account_scope=compute-rw,storage-full \
       --persistent_boot_disk \
       --metadata=es_port:9301

# when creating an instance from an image
gcutil --project=es-cloud addinstance --image=elasticsearch-1-0-0-RC1 \
       --kernel=projects/google/global/kernels/gce-v20130603 myesnode2 \
       --zone europe-west1-a --machine_type f1-micro --service_account_scope=compute-rw \
       --persistent_boot_disk --metadata=es_port:9301

On a running instance

# Get metadata fingerprint
gcutil --project=es-cloud getinstance myesnode1 \
       --zone=europe-west1-a
+------------------------+---------------------------------------------------------------------------------------------------------+
|        property        |                                                  value                                                  |
+------------------------+---------------------------------------------------------------------------------------------------------+
| metadata               |                                                                                                         |
| fingerprint            | 42WmSpB8rSM=                                                                                            |
+------------------------+---------------------------------------------------------------------------------------------------------+

# Use that fingerprint
gcutil --project=es-cloud setinstancemetadata myesnode1 \
       --zone=europe-west1-a \
       --metadata=es_port:9301 \
       --fingerprint=42WmSpB8rSM=

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 2009-2014 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.