We continue to discuss the implementation principle of the console Consumer, this article focuses on the use of Zookeeperconsumerconnector, that is, all subsequent content from the following statement: Val connector = consumer.create (config)So that's the problem? What does it do after this statement? Let's look at the definition of Create method def create (config:consumerconfig): Consumerconnector = {val Consumerconnect = new Zookeeperconsumercon Ne
1. OverviewIn Kafka, there are two types of consumer APIs, one for high-level consumer APIs and the other for low-level consumer APIs. In the article "Advanced Consumer API", the API implementation of its advanced consumption is introduced. Let's introduce another
possible to repeat the consumption
Of the 0.9 clients, there are 3 types of ACK policies:Strategy 1: Automatic, Periodic ack. The way the demo shows above:
Props.put ("Enable.auto.commit", "true");
Props.put ("auto.commit.interval.ms", "1000");
Policy 2:consumer.commitsync ()//Call Commitsync, manually synchronize Ack. 1 messages per processing, Commitsync 1 times
Policy 3:consumer. Commitasync ()//manual Asynchronous Ack exactly once– sav
consumer crashes trigger rebalancing, and when the new consumer tries to update the offset information, it will cause the missing message, as shown in:Pull and consume of messagesConsumer if a message exists during the last message pull, it is returned directly, otherwise the pull cancellation request is resent from the previously updated pull offset location.Pull cancellation request to the
I here Kafka consumer code is copied online, is to open a thread monitoring Kafka topic, a message on the processing. The code to begin with is this:
public void Kafkastart () {final String topic = HipchatAction.properties.getProperty ("Kafka.hipchat.topic"); Final int partitionnum = integer.valueof (HipchatAction.properties.getProperty ("Kafka.hipchat.topic.par
Reprint please specify original address http://www.cnblogs.com/dongxiao-yang/p/6238029.htmlRecently, we need to study in detail the algorithm details of the partition calculation in the process of Kafka Reblance, searching some of the words on the internet, feeling more obscure and not easy to understand, or self-keying the source code more convenient.The Kafka Reblance calculates part of the code as follow
); Mapconsumerconnector.createmessagestreams (map); List); //Create List of 4 threads to consume from each of the partitionsExecutorservice executor = Executors.newfixedthreadpool (4); //consume the messages in the threads for(FinalKafkastreamstream:streams) {Executor.submit (NewRunnable () { Public voidrun () { for(Messageandmetadata msgandmetadata:stream) {//Process Message (Msgandmetadata.message ())System.out.println ("topic:" +msgandmetadata.topic ()); Message Message=(Message) msgandmeta
some time ago in the Kafka QQ Group was asked about this--about how Java consumer dynamically modify topic subscription issues. It's really a good question to think about it, because if you simply hold the consumer instance in another thread and then call subscribe to modify it, the consumer side will inevitably throw
At present the Central Library Org.apache.kafka is compiled with jdk1.7, so run in 1.6 of the JVM will be errorSolution:1. Download Kafka source code, local SBT to install, pre-compile java-version confirm that the JDK version in Classpath is 1.62. After compiling the package successfully, go to the core/target/scala_2.8.0/of the current Kafka directory, find kafka
)); Stringdecoder Keydecoder = new Stringdecoder (new Verifiableproperties ());Stringdecoder Valuedecoder = new Stringdecoder (new Verifiableproperties ()); MapConsumer.createmessagestreams (Topiccountmap,keydecoder,valuedecoder);kafkastreamConsumeriterator int messagecount = 0;while (It.hasnext ()) {System.out.println (It.next (). message ());messagecount++;if (Messagecount = = 100) {SYSTEM.OUT.PRINTLN ("Consumer end of the total consumption of" + Me
In the use of Kafka high-level consumer, the use of multi-threaded consumption data times wrong, simple analysis of the reason for download , Consumeriterator will not be blocked when the message and set the internal state to failed, which throws an exception when other threads access it.Java code 650) this.width=650; "class=" star "src=" Http://woodding2008.iteye.com/images/icon_star.png "alt=" Favorites
Error phenomenon:Java client programming as the consumer of Kafka, connecting Kafka's broker error650) this.width=650; "Src=" https://s4.51cto.com/wyfs02/M00/91/6A/wKiom1j12BGgUkKgAACUSA5Q0tU565.png-wh_500x0-wm_ 3-wmp_4-s_64493172.png "title=" Qq20170418170758.png "alt=" Wkiom1j12bggukkgaacusa5q0tu565.png-wh_50 "/>Error reason analysis:When the server configuration or network environment is poor, there will
The producers are as follows:
public class KafkaProduce1 {public
static void Main (string[] args) throws ioexception{
String topic= "test";
Properties prop = new properties ();
Prop.load (KafkaProduce1.class.getClassLoader (). getResourceAsStream ("producer.properties"));
producer
The producer.properies configuration is as follows:
# List of brokers used for bootstrapping knowledge about the rest of the cluster
# FORMAT:HOST1:PORT1,HOST2:PORT2. .
metad
Error process:650) this.width=650; "Src=" https://s1.51cto.com/wyfs02/M00/91/60/wKiom1j1sYHyYBNNAADoGsBpPEc665.png-wh_500x0-wm_ 3-wmp_4-s_1657427620.png "title=" Qq20170418142553.png "alt=" Wkiom1j1syhyybnnaadogsbppec665.png-wh_50 "/>Cause: Host name mapped IP error, resulting in no communication between nodesWorkaround: Configure IP and hostname mappings on each machineVi/etc/hosts650) this.width=650; "Src=" https://s2.51cto.com/wyfs02/M01/91/5F/wKioL1j1skjRcJXNAAAZuUAeA9Q879.png-wh_500x0-wm_ 3
Kafka Learning (1) configuration and simple command usage
1. Introduction to related concepts in Kafka is a distributed message middleware implemented by scala. the concepts involved are as follows:
The content transmitted in Kafka is called message. The relationship between topics and messages that are grouped by top
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