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What is Kafka?

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Deepika Sahu answered on December 17, 2022 Popularity 8/10 Helpfulness 2/10

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What is Kafka?

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Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics
Key Features:-
High Throughput	Support for millions of messages with modest hardware
Scalability	Highly scalable distributed systems with no downtime
Replication	Messages are replicated across the cluster to provide support for multiple subscribers and balances the consumers in case of failures
Durability	Provides support for persistence of message to disk
Stream Processing	Used with real-time streaming applications like Apache Spark & Storm
Data Loss	Kafka with proper configurations can ensure zero data loss

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Contributed on Dec 17 2022

Deepika Sahu

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$ bin/kafka-topics.sh --describe --topic quickstart-events --bootstrap-server localhost:9092
Topic: quickstart-events        TopicId: NPmZHyhbR9y00wMglMH2sg PartitionCount: 1       ReplicationFactor: 1	Configs:
    Topic: quickstart-events Partition: 0    Leader: 0   Replicas: 0 Isr: 0

Popularity 9/10 Helpfulness 1/10 Language shell

Source: kafka.apache.org

Tags: shell shel

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Contributed on Dec 22 2022

maryam askari

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Kafka

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$ bin/kafka-console-producer.sh --topic quickstart-events --bootstrap-server localhost:9092
This is my first event
This is my second event

Popularity 8/10 Helpfulness 1/10 Language shell

Source: kafka.apache.org

Tags: shell

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Contributed on Dec 22 2022

maryam askari

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What can you do with Kafka?

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It can perform in several ways, such as:
>> In order to transmit data between two systems, we can build a real-time stream of data pipelines with it.
>> Also, we can build a real-time streaming platform with Kafka, that can actually react to the data.

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Contributed on Dec 29 2022

Deepika Sahu

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What is Kafka used for?

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Kafka is a distributed system used for creating real-time streaming data pipelines and applications.

@Configuration
@EnableKafka
public class Config {

    @Bean
    ConcurrentKafkaListenerContainerFactory<Integer, String>
                        kafkaListenerContainerFactory(ConsumerFactory<Integer, String> consumerFactory) {
        ConcurrentKafkaListenerContainerFactory<Integer, String> factory =
                                new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory);
        return factory;
    }

    @Bean
    public ConsumerFactory<Integer, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(consumerProps());
    }

    private Map<String, Object> consumerProps() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "group");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, IntegerDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
        // ...
        return props;
    }

    @Bean
    public Sender sender(KafkaTemplate<Integer, String> template) {
        return new Sender(template);
    }

    @Bean
    public Listener listener() {
        return new Listener();
    }

    @Bean
    public ProducerFactory<Integer, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(senderProps());
    }

    private Map<String, Object> senderProps() {
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        props.put(ProducerConfig.LINGER_MS_CONFIG, 10);
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        //...
        return props;
    }

    @Bean
    public KafkaTemplate<Integer, String> kafkaTemplate(ProducerFactory<Integer, String> producerFactory) {
        return new KafkaTemplate<Integer, String>(producerFactory);
    }

}

https://aws.amazon.com/msk/what-is-kafka/#:~:text=Kafka%20is%20primarily%20used%20to,historical%20and%20real%2Dtime%20data.

Popularity 8/10 Helpfulness 1/10 Language java

Source: Grepper

Tags: java

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Contributed on Feb 06 2023

Pragya Keshap

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Kafka

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All methods in vault-account are triggered by gRPC calls, thus Kafka is not a prerequisite for initiating any actions. Kafka is used to communicate events between microservices. Events are:

generated by vault-account for the vault-account-processor to execute asynchronous jobs.

generated by vault-account-processor for further operations (such as account migrations).

published eagerly by vault-account if the config flag events_disable_eager_publishing is set to FALSE.

published at least once for those recorded in the event journals tables (using the event orchestrators and journal pollers).

picked up by the Core Streaming service to be streamed out to the public.

Account processor events are the most relevant to the communication between vault-account and vault-account-processor. Account processor events for account updates are published by vault-account to the internal topic vault.core.accounts.account_processor.events in an eager manner if enabled; the account-events-orchestrator, account-journal-poller, plan-events-orchestrator and plan-journal-poller are required to publish all account processor events for account updates and plan updates eventually. vault-account-processor awaits jobs by listening to the activity on this topic.

The processor also uses the topic vault.core.accounts.account_update_batch_completed in order to manage account migrations and account update batches.

Non-event topics are also used.

[Produces] -> vault.core.account.events
[Produces] -> vault.core.account_update.events
[Produces] -> vault.core.account_update_batch.events
[Produces] -> vault.core.account_plan_assoc.events
[Produces] -> vault.core.accounts.account_processor.events
[Produces] -> vault.core.accounts.account_update_batch_completed
[Produces] -> vault.core.plan.events
[Produces] -> vault.core.plan_update.events
[Produces] -> vault.core.plan_update_batch.events
[Produces] -> vault.core.plan_update_batch_completed
[Produces] -> vault.core.plan_migration.events
[Produces] -> vault.core.flag.events
[Produces] -> vault.core.restriction_set.events
[Produces] -> vault.core.payment_device.events
[Produces] -> vault.core.payment_device_link.events

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Contributed on Apr 03 2023

Vinay Rawal

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kafka

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$ tar -xzf kafka_2.13-3.5.0.tgz
$ cd kafka_2.13-3.5.0

Popularity 5/10 Helpfulness 1/10 Language whatever

Source: kafka.apache.org

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Contributed on Sep 21 2023

mkali mkali

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kafka

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# Start the ZooKeeper service
$ bin/zookeeper-server-start.sh config/zookeeper.properties

Popularity 5/10 Helpfulness 1/10 Language whatever

Source: kafka.apache.org

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Contributed on Sep 21 2023

mkali mkali

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kafka

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# Kafka, kafkajs

## Prerequisite
- Knowledge
  - Node.JS Intermediate level
  - Experience with designing distributed systems
- Tools
  - Node.js: [Download Node.JS](https://nodejs.org/en)
  - Docker: [Download Docker](https://www.docker.com)
  - Kafkajs: [Download VSCode](https://kafka.js.org)

## Commands
- Start Zookeper Container and expose PORT `2181`.
```bash
docker run -p 2181:2181 zookeeper
```
- Start Kafka Container, expose PORT `9092` and setup ENV variables.
```bash
docker run -p 9092:9092 \
-e KAFKA_ZOOKEEPER_CONNECT=<PRIVATE_IP>:2181 \
-e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://<PRIVATE_IP>:9092 \
-e KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=1 \
confluentinc/cp-kafka
```

## Code
`client.js`
```js
const { Kafka } = require("kafkajs");

exports.kafka = new Kafka({
  clientId: "my-app",
  brokers: ["<PRIVATE_IP>:9092"],
});

```
`admin.js`
```js
const { kafka } = require("./client");

async function init() {
  const admin = kafka.admin();
  console.log("Admin connecting...");
  admin.connect();
  console.log("Adming Connection Success...");

  console.log("Creating Topic [rider-updates]");
  await admin.createTopics({
    topics: [
      {
        topic: "rider-updates",
        numPartitions: 2,
      },
    ],
  });
  console.log("Topic Created Success [rider-updates]");

  console.log("Disconnecting Admin..");
  await admin.disconnect();
}

init();
```
`producer.js`
```js
const { kafka } = require("./client");
const readline = require("readline");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
});

async function init() {
  const producer = kafka.producer();

  console.log("Connecting Producer");
  await producer.connect();
  console.log("Producer Connected Successfully");

  rl.setPrompt("> ");
  rl.prompt();

  rl.on("line", async function (line) {
    const [riderName, location] = line.split(" ");
    await producer.send({
      topic: "rider-updates",
      messages: [
        {
          partition: location.toLowerCase() === "north" ? 0 : 1,
          key: "location-update",
          value: JSON.stringify({ name: riderName, location }),
        },
      ],
    });
  }).on("close", async () => {
    await producer.disconnect();
  });
}

init();
```
`consumer.js`
```js
const { kafka } = require("./client");
const group = process.argv[2];

async function init() {
  const consumer = kafka.consumer({ groupId: group });
  await consumer.connect();

  await consumer.subscribe({ topics: ["rider-updates"], fromBeginning: true });

  await consumer.run({
    eachMessage: async ({ topic, partition, message, heartbeat, pause }) => {
      console.log(
        `${group}: [${topic}]: PART:${partition}:`,
        message.value.toString()
      );
    },
  });
}

init();
```
## Running Locally
- Run Multiple Consumers
```bash
node consumer.js <GROUP_NAME>
```
- Create Producer
```bash
node producer.js
```
```bash
> tony south
> tony north
```

Popularity 6/10 Helpfulness 1/10 Language whatever

Source: gist.githubusercontent.com

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Contributed on Feb 26 2024

sOhan chaudhuree

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What is Kafka?

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