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To implement a Spring Boot Kafka consumer that processes messages in batch with a retry mechanism, we can use Spring Kafka and Spring Batch, along with a retry template. The retry template will enable us to handle processing failures and retry failed messages.

Here's how you can achieve this:

Step 1: Set up the project and configure Kafka as shown in previous examples.

Step 2: Create the Kafka batch consumer with retry mechanism:

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To make a Kafka consumer in Java faster, you can implement several strategies to optimize its performance. Here are some tips:

Use Kafka Consumer Groups: Distribute the workload across multiple consumer instances by using consumer groups. Each consumer in a group processes a subset of the partitions, allowing for parallel processing.

Increase Consumer Threads: If you have a multi-core system, you can create multiple consumer threads to process messages in parallel. This can improve the overall throughput of your consumer.

Tune Consumer Configuration: Adjust Kafka consumer configuration parameters based on your use case and workload. Parameters like fetch.min.bytes, fetch.max.wait.ms, max.partition.fetch.bytes, and max.poll.records can significantly impact performance.

Batch Polling: Instead of polling for individual records, you can use batch polling to fetch multiple records in a single request, reducing the number of network round-trips.

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import org.apache.commons.collections.bag.TransformedBag;
import org.apache.commons.io.FileUtils;
import org.apache.commons.lang3.exception.ExceptionUtils;
import org.elasticsearch.action.admin.cluster.health.ClusterHealthResponse;
import org.elasticsearch.action.admin.cluster.health.ClusterHealthStatus;
import org.elasticsearch.action.admin.cluster.health.ClusterIndexHealth;
import org.elasticsearch.client.Client;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.cluster.node.DiscoveryNode;

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<beans                                                                                     
  xmlns="http://www.springframework.org/schema/beans"                                      
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"                                    
  xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframewor
k.org/schema/beans/spring-beans.xsd                                                        
  http://activemq.apache.org/schema/core http://activemq.apache.org/schema/core/activemq-co
re.xsd">                                                                                   
                                                                                           
    <!-- Allows us to use system properties as variables in this configuration file -->    
    <bean class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">  

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13:02:58.494 [main] DEBUG o.a.a.t.failover.FailoverTransport - Waking up reconnect task
13:02:58.497 [ActiveMQ Task] DEBUG o.a.a.t.failover.FailoverTransport - Attempting connect to: tcp://10.172.6.46:61616
13:02:58.624 [ActiveMQ Task] DEBUG o.a.a.transport.WireFormatNegotiator - Sending: WireFormatInfo { version=3, properties={TcpNoDelayEnabled=true, SizePrefixDisabled=false, CacheSize=1024, StackTraceEnabled=true, CacheEnabled=true, TightEncodingEnabled=true, MaxInactivityDuration=30000, MaxInactivityDurationInitalDelay=10000}, magic=[A,c,t,i,v,e,M,Q]}
13:02:58.626 [ActiveMQ Task] DEBUG o.a.a.t.failover.FailoverTransport - Connection established
13:02:58.626 [ActiveMQ Task] INFO  o.a.a.t.failover.FailoverTransport - Successfully connected to tcp://10.172.6.46:61616
13:02:58.628 [main] DEBUG o.a.a.t.failover.FailoverTransport - Started.
13:02:58.722 [ActiveMQ Transport: tcp:///10.172.6.46:61616] DEBUG o.a.a.transport.WireFormatNegotiator - Received WireFormat: WireFormatInfo { version=10, properties={CacheSi

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package com.cengage.ceq.plugin.broker;

public interface IPAuth {

	public int getSessionCount();
}