Generally we receive this issue when we trying elasticsearch start again with same port while one instance of elasticseearch is already running . For resolving issue follow below steps:

Exception :

Caused by: java.net.BindException: Address already in use
at sun.nio.ch.Net.bind0(Native Method) ~[?:?]
at sun.nio.ch.Net.bind(Net.java:433) ~[?:?]
at sun.nio.ch.Net.bind(Net.java:425) ~[?:?]
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223) ~[?:?]
at io.netty.channel.socket.nio.NioServerSocketChannel.doBind(NioServerSocketChannel.java:128) ~[?:?]
at io.netty.channel.AbstractChannel$AbstractUnsafe.bind(AbstractChannel.java:554) ~[?:?]
at io.netty.channel.DefaultChannelPipeline$HeadContext.bind(DefaultChannelPipeline.java:1258) ~[?:?]
at io.netty.channel.AbstractChannelHandlerContext.invokeBind(AbstractChannelHandlerContext.java:501) ~[?:?]
at io.netty.channel.AbstractChannelHandlerContext.bind(AbstractChannelHandlerContext.java:486) ~[?:?]
at io.netty.channel.DefaultChannelPipeline.bind(DefaultChannelPipeline.java:980) ~[?:?]
at io.netty.channel.AbstractChannel.bind(AbstractChannel.java:250) ~[?:?]
at io.netty.bootstrap.AbstractBootstrap$2.run(AbstractBootstrap.java:365) ~[?:?]
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163) ~[?:?]
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403) ~[?:?]
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:442) ~[?:?]
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858) ~[?:?]
at java.lang.Thread.run(Thread.java:745) [?:1.8.0_66]

Follow below steps:

• To check elasticsearch running instance and get process Id run below command

ps -ef|grep elasticsearch

• Kill this process if you want to start elasticsearch again

kill -9 elasticsearchProcessId

• Restart elasticsearch again.

Issues Solution

For more Elasticsearch  issue solutions follow link Elasticsearch Common Issues.

Integration

Integrate Filebeat, Kafka, Logstash, Elasticsearch and Kibana