Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Apache Kafka
Search
Eko Kurniawan Khannedy
August 30, 2017
Technology
1
4.4k
Apache Kafka
JVM Meetup #5 - Apache Kafka at Blibli.com
Eko Kurniawan Khannedy
August 30, 2017
Tweet
Share
More Decks by Eko Kurniawan Khannedy
See All by Eko Kurniawan Khannedy
Monolith to Event-Driven Microservices
khannedy
1
260
Refactoring
khannedy
0
340
Multi-Datacenter Kafka at Blibli.com
khannedy
2
1.5k
QA Tools - Research and Development
khannedy
0
280
Reactive Puzzle
khannedy
0
200
Event-Driven Architecture
khannedy
1
1.9k
Resilience Engineering with Hystrix and Spring
khannedy
1
560
Mocking for Unit Test using Mockito
khannedy
1
340
Centralized Configuration using Consul and Spring Cloud
khannedy
2
700
Other Decks in Technology
See All in Technology
能登半島地震で見えた災害対応の課題と組織変革の重要性
ditccsugii
0
310
AIツールでどこまでデザインを忠実に実装できるのか
oikon48
6
3.2k
英語は話せません!それでも海外チームと信頼関係を作るため、対話を重ねた2ヶ月間のまなび
niioka_97
0
130
多様な事業ドメインのクリエイターへ 価値を届けるための営みについて
massyuu
1
500
そのWAFのブロック、どう活かす? サービスを守るための実践的多層防御と思考法 / WAF blocks defense decision
kaminashi
0
140
OCI Network Firewall 概要
oracle4engineer
PRO
2
7.8k
SREとソフトウェア開発者の合同チームはどのようにS3のコストを削減したか?
muziyoshiz
1
210
後進育成のしくじり〜任せるスキルとリーダーシップの両立〜
matsu0228
7
3.2k
Geospatialの世界最前線を探る [2025年版]
dayjournal
1
200
『バイトル』CTOが語る! AIネイティブ世代と切り拓くモノづくり組織
dip_tech
PRO
1
110
Where will it converge?
ibknadedeji
0
200
Git in Team
kawaguti
PRO
3
330
Featured
See All Featured
Speed Design
sergeychernyshev
32
1.2k
Java REST API Framework Comparison - PWX 2021
mraible
33
8.9k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
2.7k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
The Pragmatic Product Professional
lauravandoore
36
6.9k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
Practical Orchestrator
shlominoach
190
11k
The Power of CSS Pseudo Elements
geoffreycrofte
79
6k
[RailsConf 2023] Rails as a piece of cake
palkan
57
5.9k
BBQ
matthewcrist
89
9.8k
Music & Morning Musume
bryan
46
6.8k
Build your cross-platform service in a week with App Engine
jlugia
232
18k
Transcript
APACHE KAFKA EKO KURNIAWAN KHANNEDY
APACHE KAFKA EKO KURNIAWAN KHANNEDY ▸ Principal Software Development Engineer
at Blibli.com ▸ Part of RnD Team at Blibli.com ▸
[email protected]
APACHE KAFKA AGENDA ▸ Kafka Intro ▸ Kafka Internals ▸
Installing Kafka ▸ Kafka Producer ▸ Kafka Consumer ▸ Kafka in blibli.com ▸ Demo ▸ Conclusion
KAFKA INTRO APACHE KAFKA
APACHE KAFKA BEFORE PUBLISH / SUBSCRIBE MESSAGING MEMBER ORDER RISK
PAYMENT … ERP FINANCE …
APACHE KAFKA PUBLISH / SUBSCRIBE MESSAGING MEMBER ORDER RISK PAYMENT
… ERP FINANCE … MESSAGING SYSTEM / MESSAGE BROKER
None
APACHE KAFKA WHAT IS KAFKA ▸ Apache Kafka is a
publish/subscribe messaging system, or more recently a “distributing streaming platform” ▸ Opensource project under Apache Software Foundation.
APACHE KAFKA KAFKA HISTORY ▸ Kafka was born to solve
the data pipeline problem in LinkedIn. ▸ The development team at LinkedIn was led by Jay Kreps, now CEO of Confluent. ▸ Kafka was released as an Open Source project on Github in late 2010, and join Apache Software Foundation in 2011.
KAFKA INTERNALS APACHE KAFKA
APACHE KAFKA BROKER TOPIC A PARTITION 0 TOPIC A PARTITION
1 KAFKA BROKER
APACHE KAFKA CLUSTER TOPIC A PARTITION 0 TOPIC A PARTITION
1 (LEADER) KAFKA BROKER 1 TOPIC A PARTITION 0 TOPIC A PARTITION 1 (LEADER) KAFKA BROKER 2
APACHE KAFKA TOPICS ▸ Messages in Kafka are categorized into
Topics. ▸ The closest analogy for topic is a database table, or a folder in filesystem.
APACHE KAFKA PARTITIONS
APACHE KAFKA REPLICATION FACTOR TOPIC A PARTITION 0 TOPIC A
PARTITION 1 KAFKA BROKER 1 TOPIC A PARTITION 0 KAFKA BROKER 2 TOPIC A PARTITION 1 KAFKA BROKER 3 TOPIC A PARTITION 0 TOPIC A PARTITION 1 KAFKA BROKER 4
APACHE KAFKA CONSUMER GROUP
APACHE KAFKA CONSUMER GROUP (2)
APACHE KAFKA RETENTION POLICY ▸ A key feature of Apache
Kafka is that of retention, or the durable storage of messages for some period of time. ▸ We can set retention policy per topics by time or by size.
APACHE KAFKA MIRROR MAKER
INSTALLING KAFKA APACHE KAFKA
APACHE KAFKA JAVA ▸ Kafka using Java 8.
APACHE KAFKA ZOOKEEPER KAFKA BROKER PRODUCER CONSUMER ZOOKEEPER Metadata
APACHE KAFKA KAFKA BROKER # Minimum Broker Configuration broker.id=0 #
must unique in cluster zookeeper.connect=localhost:2181 log.dirs=data/kafka-logs
APACHE KAFKA CREATE / UPDATE TOPIC kafka-topics.sh --create --zookeeper localhost:2181
-- replication-factor 1 --partitions 1 --topic topic_name kafka-topics.sh --zookeeper localhost:2181 --alter --topic topic_name --partitions 2 --replication-factor 2
KAFKA PRODUCER APACHE KAFKA
APACHE KAFKA PRODUCER RECORD PRODUCER RECORD TOPIC PARTITION KEY VALUE
APACHE KAFKA SERIALIZER PRODUCER RECORD TOPIC PARTITION KEY VALUE SERIALIZER
APACHE KAFKA PARTITIONER PRODUCER RECORD TOPIC PARTITION KEY VALUE SERIALIZER
PARTITIONER Send to Broker
APACHE KAFKA KAFKA PRODUCER Properties props = new Properties(); props.put("bootstrap.servers",
"broker1:9092,broker2:9092"); props.put("key.serializer", “org.apache.kafka.common.serialization.StringSerializer"); props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer"); producer = new KafkaProducer<String, String>(kafkaProps);
APACHE KAFKA SEND MESSAGE record = new ProducerRecord<>(topicName, key, value);
producer.send(record);
KAFKA CONSUMER APACHE KAFKA
APACHE KAFKA CONSUMER GROUP
APACHE KAFKA PARTITION REBALANCE
APACHE KAFKA PARTITION REBALANCE
APACHE KAFKA PARTITION REBALANCE
APACHE KAFKA CONSUMER RECORD & DESERIALIZER CONSUMER RECORD TOPIC PARTITION
KEY VALUE DESERIALIZER From Broker
APACHE KAFKA KAFKA CONSUMER Properties props = new Properties(); props.put("bootstrap.servers",
"broker1:9092,broker2:9092"); props.put("group.id", "GroupName"); props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); consumer = new KafkaConsumer<String, String>(props);
APACHE KAFKA GET MESSAGES consumer.subscribe(Collections.singletonList("topicName")); Long timeout = 1000L; ConsumerRecords<String,
String> records = consumer.poll(timeout);
KAFKA IN BLIBLI APACHE KAFKA
APACHE KAFKA API GATEWAY EVENT API GATEWAY MEMBER API GATEWAY
COMMON API GATEWAY … KAFKA ANALYTICS … …
APACHE KAFKA CURRENT PRODUCT (CODENAME X) X MEMBER X CART
X AUTH X WISHLIST API GATEWAY X YYYY X XXX X ORDER X PRODUCT
APACHE KAFKA NEW PRODUCT (CODENAME VERONICA) VERONICA MEMBER VERONICA CORE
VERONICA MERCHANT KAFKA VERONICA NOTIFICATION API GATEWAY
DEMO
CONCLUSION APACHE KAFKA
APACHE KAFKA WHY KAFKA? ▸ Multiple Consumer ▸ Flexible Scalability
▸ Flexible Durability ▸ High Performance ▸ Multi-Datacenter
WE ARE HIRING!
[email protected]
APACHE KAFKA
APACHE KAFKA REFERENCES ▸ http://kafka.apache.org/ ▸ https://engineering.linkedin.com/kafka/benchmarking-apache-kafka-2-million- writes-second-three-cheap-machines ▸ https://engineering.linkedin.com/kafka/running-kafka-scale