This example is a revision of Working With React and TypeScript by Wolk Software Engineering. The original example has been modified to address deprecated features.

For an explanation of the example, follow along with the original post with the link above.

Deprecated React Feature:

• React.addons.classeSet
• React.render

https://github.com/nyabutid/typescript-react

Apache Kafka is publish-subscribe messaging rethought as a distributed commit log. Vagrant allows you to create and configure lightweight, reproducible, and portable development environments. This post is a walkthrough in setting up a single node Kafka cluster based on Vagrant with a Virtualbox provider (Make the necessary adjustments for your provider).

This post (where I borrowed the original setup) shows you how to extend to more than one node for your development cluster.

I will assume that you have Vagrant from vagrantup.com installed.

Follow the following steps:

1. Navigate to the directory where you would like to setup your Vagrant node.
   mkdir ubuntu-cluster-node-1
cd ubuntu-cluster-node-1
vagrant init ubuntu/vivid64

2. Create the following shell script and save it as bootstrap.sh

   #!/usr/bin/env bash
   
   apt-get update
   apt-get install -y openjdk-7-jdk build-essential git
   wget -nc -nv 
   
   http://www.webhostingjams.com/mirror/apache/kafka/0.9.0.1/kafka_2.10-0.9.0.1.tgz
   mkdir /usr/local/kafka
   tar -zxvf kafka_2.10-0.9.0.1.tgz
   mv kafka_2.10-0.9.0.1 /usr/local/kafka
   
   wget -nc -nv http://apache.mirrors.hoobly.com/zookeeper/zookeeper-3.4.8/zookeeper-3.4.8.tar.gz
   mkdir /usr/local/zookeeper
   tar -zxvf zookeeper-3.4.8.tar.gz --directory /usr/local/zookeeper
   
   export ZK_HOME=/usr/local/zookeeper/zookeeper-3.4.8
   export KAFKA_HOME=/usr/local/kafka/kafka_2.10-0.9.0.1
   export PATH=$ZK_HOME/bin:$KAFKA_HOME/bin:$PATH
   
   cp $ZK_HOME/conf/zoo_sample.cfg $ZK_HOME/conf/zoo.cfg
   sed -i 's/\/tmp\/zookeeper/\/var\/zookeeper\/data/g' $ZK_HOME/conf/zoo.cfg
   
   echo 'server.1=192.168.33.10:2888:3888' >> /$ZK_HOME/conf/zoo.cfg
   mkdir -p /var/zookeeper/data
   #Zookeeper uses a file named “myid” to identify itself within the cluster. It holds a single character, 1-255. Let’s set it to 1.
   echo "1" > /var/zookeeper/data/myid
   
   #configure kafka
   sed -i 's/broker\.id\=0/broker\.id\=1/g' $KAFKA_HOME/config/server.properties
   
   #uncomment host.name=localhost
   sed -i 's/\#host.name\=localhost/host.name\=192.168.33.10/g' $KAFKA_HOME/config/server.properties
   sed -i 's/zookeeper.connect=localhost:2181/zookeeper.connect=192.168.33.10:2181/g' $KAFKA_HOME/config/server.properties
   sed -i 's/listeners\=PLAINTEXT\:\/\/\:9092/listeners\=PLAINTEXT\:\/\/192.168.33.10\:9092/g' $KAFKA_HOME/config/server.properties
   

3. Create the following shell script and save it as startup.sh. You could also use configure upstart

   #!/usr/bin/env bash
   
   export ZK_HOME=/usr/local/zookeeper/zookeeper-3.4.8
   export KAFKA_HOME=/usr/local/kafka/kafka_2.10-0.9.0.1
   export PATH=$ZK_HOME/bin:$KAFKA_HOME/bin:$PATH
   
   #Start Zookeeper
   
   $ZK_HOME/bin/zkServer.sh start
   #Start Kafka
   
   $KAFKA_HOME/bin/kafka-server-start.sh $KAFKA_HOME/config/server.properties &

4. Update your Vagrantfile to include  bootstrap.sh and startup.sh

   config.vm.provision :shell, path: "bootstrap.sh"
   config.vm.provision :shell, path: "startup.sh", run: "always"

5. Update your Vagrant memory configuration

      config.vm.provider "virtualbox" do |vb|
        # Display the VirtualBox GUI when booting the machine
        vb.gui = true
   
        # Customize the amount of memory on the VM:
        vb.memory = "2048"
      end

6. Configure a static IP for your Node

   config.vm.network "private_network", ip: "192.168.33.10"

7. Startup Vagrant

   vagrant up

I work on a Mac and in a bandwidth rich environment, such as my work network, I usually connect to SQL Server via a MSSQL client running on a terminal server which I access over RDP. I like the GUI with the added intelliSense features from RedGate tools, plus the OSX RDP Client by Microsoft works great.

While traveling, I prefer to have access to a low bandwidth solution. I started investigating and playing with a few OSX MSSQL clients available.

I tried all the tools listed here including a DB Visualizer plugin for eclipse. In my analysis I factored in cost and feature set as well as Mean time to annoyance (MTTA).

My recommendation is to use the free Oracle SQL Developer with this instructions for setting up the MSSQL JTDS driver. This tool gets the job done!