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Setting up a TWCloud Cluster

Before setting up a TWCloud Cluster, you need to determine the following.

  • The initial number of nodes in the cluster.
  • The IP address of each TWC node.
  • Prepare a list of IPs of Cassandra nodes.

The instructions below use the following sample environment for ease of understanding.

  • 3 nodes TWC cluster
  • TWC node IP address are 10.1.1.111, 10.1.1.112, and 10.1.1.113
  • All nodes will be used as seed nodes
  • IP address of Cassandra nodes are 10.1.1.101, 10.1.1.102, 10.1.1.103

Setting up the TWCloud Cluster involves 2 groups of parameters in application.conf.

TWCloud clustering parameter

- akka.cluster.seed-nodes

This parameter indicates the initial contact points for the cluster.

If you install TWCloud using the installer file, you will be asked to provide the seed node IP during installation process and the value will be configured in application.conf.

If you install using the zip file, you will need to manually configure the parameter in application.conf. Search for the following:

                        seed-nodes = ["akka://twcloud@${seed-node.ip}:2552"]

Replace ${seed-
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This page provides instructions to set up a Teamwork Cloud (TWCloud) Cluster cluster on your system. A TWCloud Cluster Teamwork Cloud cluster is composed of two clustering layers , TWCloud – Teamwork Cloud and Cassandra layers.

To set up a TWCloud ClusterTeamwork Cloud cluster, you need to do perform two separate tasks:

  1. Set up a Cassandra Clustercluster
  2. Set up a TWCloud ClusterTeamwork Cloud cluster

Image AddedImage Removed

An illustration of
TWCloud Cluster
Teamwork Cloud cluster and Cassandra
Cluster
cluster nodes within
TWCloud Cluster
Teamwork Cloud cluster.

Anchor
cassandra
cassandra
Setting up a Cassandra

Cluster

cluster

Prior to establishing a Cassandra cluster, you need to determine the following.

  • The initial number of nodes in the cluster.
  • The IP address of each node.
  • Determine which node to will be the seed.

When setting up a Cassandra node, you need to configure a seed that indicates an initial contact point seed for the new node. So, you can configure the seed using the IP of any existing active node in the cluster. Use the node's own IP when configuring the first node. For example, if you are configuring a three-node cluster and the nodes' IPs are 10.1.1.101, 10.1.1.102, and 10.1.1.103. Select one, for example 10.1.1.101, as the seed. While you are configuring cassandra.yaml, specify 10.1.1.101 as the seed value for all of the three nodes.

Now that you understand what a seed is and how to configure it, follow the instructions to install and configure Cassandra on Windows or Linux Operating System. 

Please note that listen_address and 
Info
Note that listen_address and broadcast_rpc_
address are
address are still their machine.
Machine IP10.1.1.10110.1.1.10210.1.1.103
seeds10.1.1.101, 10.1.1.10210.1.1.101, 10.1.1.10210.1.1.101, 10.1.1.102
listen_address10.1.1.10110.1.1.10210.1.1.103
broadcast_rpc_address10.1.1.10110.1.1.10210.1.1.103


After installing and configuring all nodes, start the seed node.   Verify that it is operational by issuing the command "nodetool status".

Once the seed node is operational, you can proceed to start the other nodes in the cluster.   You must allow the node to join the cluster before proceeding to the next node.   After all nodes have started, the "nodetool status" command will display results as shown below.

Code Block
Datacenter: datacenter1

=======================

Status=Up/Down

|/ State=Normal/Leaving/Joining/Moving

--
   Address     Load      Tokens  
   Address     Load      Tokens    Owns (effective)    Host
ID                                   RackUN  
 ID                                   Rack
UN   10.1.1.
101 
101  6.7
GB    256       35.1%               b33c603a
 GB    256       100%               b33c603a-95c7-426d-9f7b-
ebad2375086a 
ebad2375086a   
 
   rack1
UN  

UN   10.1.1.
102 
102  6.34
GB   256       32.5%               16f40503
 GB   256       100%               16f40503-4a65-45fe-9ee7-
5d942506aa87 
5d942506aa87    
  
  rack1
UN  

UN   10.1.1.
103 
103  6.15
GB   256       32.4%               2d90c119
 GB   256       100%               2d90c119-08a4-4799-ac73-0440215d0b18 
 
     rack1
Note
titleNode Consistency

In order to ensure that all nodes are consistent, please run the "nodetool repair" command nightly. This can be scheduled as a crontab job or via Windows Task Scheduler. This only needs to be executed on a single node.

Anchor
twcloudtwcloud

node

.ip} with the IP addresses of the seed nodes, so it should look similar to the following:                        seed-nodes = ["akka://twcloud@10.1.1.111:2552","akka://twcloud@10.1.1.112:2552","akka://twcloud@10.1.1

.

113:2552"]

Cassandra configuration parameters 

  

- esi.persistence.cassandra.connection.seeds

          The value of this parameter is a list of Cassandra node IP addresses. You can find this parameter in application.conf by conf by looking for the following.

Code Block
titleapplication.conf
# 
List
The list of comma-separated 
delimited host
hosts.

# 
Setting
Set the value 
as
to 
localhost
the 
will
IP 
be
addresses 
resolved
of 
from
Cassandra 
InetAddress.getLocalHost().getHostAddress()# Ex
nodes.
# If one Cassandra node is used, set one seed, e.g. seeds = ["10.1.1.123"]
# If three cassandra nodes are used, set two seeds, e.g. seeds = ["10.1.1.
124
123", "10.1.1.
125
124"]

- seeds

=

["localhost"]

As you can see, the default value is [“localhost”], which is only suitable for a single node server where both

TWCloud

Teamwork Cloud and Cassandra are deployed on the same machine. According to our sample environment, you should change it to the following.

Code Block
titleapplication.conf
                
seeds = ["10.1.1.101", "10.1.1.102", "10.1.1.103"]

- esi.persistence.cassandra.keyspace.replication-factor

This parameter defines the Cassandra replication factor

for the “esi” keyspace used by TWCloud. The replication factor

which describes how many copies of your data will be written by Cassandra. For example, replication factor 2 means your data will be written to 2 nodes.

For a three-node cluster, if you would like the cluster to be able to survive 1 node loss, you will need to set the replication factor to 3.

Code Block
persistence {
         cassandra {
                 keyspace {                                                                                           
                        replication-factor = 3                                         
                 

         cassandra {
                 keyspace {                                                                                           
                        replication-factor = 3                                         
                 }

Please note that this configuration will be used only for the first time TWCloud Teamwork Cloud connects to Cassandra and creates a new esi twc keyspace. Changing the replication factor after the keyspace has already been created is rather a complex task. Read Read this document if you need to change it.

Note

TWCloud Teamwork Cloud uses QUORUM for both write and read consistency levellevels.

Click here for a detailed explanation about of data consistency.

To start up the TWCloud Teamwork Cloud cluster, first start the server on the seed machine and wait until you see a message similar to the following in the server.log.

INFO 
Code Block
INFO  2017-02-15 10:57:08.409 Teamwork 
TWCloud
Cloud 
Cluster
cluster with 1 node(s) : [10.1.1.111] [com.nomagic.esi.server.core.actor.ClusterHealthActor, twcloud-esi.actor.other-dispatcher-31]

Then you can start the server on the remaining machines. You should see the following messages in the server.log which shows all 3 nodes are forming the cluster. 

Code Block
INFO 
INFO  2017-02-15 10:58:23.956 Teamwork 
TWCloud
Cloud 
Cluster
cluster with 2 node(s) : [10.1.1.111, 10.1.1.112] [com.nomagic.esi.server.core.actor.ClusterHealthActor, twcloud-esi.actor.other-dispatcher-18]
INFO 

INFO  2017-02-15 10:58:25.963 Teamwork 
TWCloud
Cloud 
Cluster
cluster with 3 node(s) : [10.1.1.111, 10.1.1.112, 10.1.1.113] [com.nomagic.esi.server.core.actor .ClusterHealthActor, twcloud-esi.actor.other-dispatcher-18]

Anchor
twcloud
twcloud
Setting up a Teamwork Cloud cluster

Before setting up a Teamwork Cloud cluster, you need to determine the following.

  • The initial number of nodes in the cluster.
  • The IP address of each Teamwork Cloud node.
  • Prepare a list of IPs of Cassandra nodes.


The instructions below use the following sample environment for ease of understanding.

  • 3 nodes Teamwork Cloud cluster.
  • Teamwork Cloud node IP addresses are 10.1.1.111, 10.1.1.112, and 10.1.1.113.
  • All nodes will be used as seed nodes.
  • IP addresses of Cassandra nodes are 10.1.1.101, 10.1.1.102, 10.1.1.103.


Setting up the Teamwork Cloud cluster involves 2 groups of parameters in application.conf.

Teamwork Cloud clustering parameter

- akka.cluster.seed-nodes

This parameter indicates the initial seed for the cluster.

If you install Teamwork Cloud using the installer file, you will be asked to provide the seed node IP during installation process and the value will be configured in application.conf.

If you install using the zip file, you will need to manually configure the parameter in application.conf. Search for the following:

Code Block
titleapplication.conf
seed-nodes = ["akka://twcloud@${seed-node.ip}:2552"]

Replace ${seed-node.ip}with the IP addresses of the seed nodes, so it should look similar to the following:

Code Block
titleapplication.conf
seed-nodes = ["akka://twcloud@10.1.1.111:2552","akka://twcloud@10.1.1.112:2552","akka://twcloud@10.1.1.113:2552"]


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