Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Kafka Partitioning Algorithm
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Gordon Diggs
September 02, 2016
Technology
170
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Kafka Partitioning Algorithm
A look at the default partitioning algorithm that Kafka uses
Gordon Diggs
September 02, 2016
More Decks by Gordon Diggs
See All by Gordon Diggs
John Coltrane: Lessons in Leadership
gordondiggs
2
320
The Customer Gap
gordondiggs
1
130
Picking Records with JavaScript and a Button
gordondiggs
0
94
Supbutton
gordondiggs
0
110
Rayons
gordondiggs
0
110
Sous Vide
gordondiggs
0
130
Dev Events & Internal Tools at Paperless Post
gordondiggs
0
130
The Joys and Pains of Working With an Old Codebase
gordondiggs
0
170
The Joys and Pains of Working with an Old Codebase
gordondiggs
1
2.4k
Other Decks in Technology
See All in Technology
2026 Apache Flink Community Checkpoint
rmetzger
0
200
AI時代の組織作り:チーム開発から「個人×AI」への移行と、持続可能な「開発資本」の築き方
ham0215
2
310
視野はAIに、視座は人に / ai-for-breadth-humans-for-perspective
nkzn
6
3.2k
[dbts2026]数十PBの超巨大データ×AI活用を支えるSnowflakeの実力〜大規模環境におけるアーキテクチャと運用のリアル〜
y_matsubara
0
110
AX時代の自治体支援リソース再配分と役割分担の再構成:戦略とロードマップ(概要)
sishi2026
0
200
AIがGISを代替する日:〜すべてをAIが創る時代に、私たちがFOSS4Gに関わる意味〜
lehupa
1
210
【dbts2026】AIエージェントの 判断と探索を変える、 データベース エンジニアリング― 既存DBの処理と依存関係から作る、オペレーショナルオントロジー ―
shisyu_gaku
0
240
「いつか使う」の「いつか」は来ない 〜AI駆動開発における「作らない」判断について〜
ikki0006
0
150
リアクションエンジニア ― 小さなリアクションから、話しかけやすい組織をつくる ―
ryuguyana
1
130
eBPF 簡介 2026 版
shunghsiyu
0
190
FinOpsを導入してマルチプロダクトのコスト最適化を実現する
kworkdev
PRO
0
140
Lint の層を組み直した話
bengo4com
3
320
Featured
See All Featured
The Limits of Empathy - UXLibs8
cassininazir
2
770
Why Our Code Smells
bkeepers
PRO
340
58k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
68
60k
First, design no harm
axbom
PRO
2
1.4k
Documentation Writing (for coders)
carmenintech
77
5.6k
The Spectacular Lies of Maps
axbom
PRO
1
1.1k
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
540
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.7k
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
360
Technical Leadership for Architectural Decision Making
baasie
3
640
The agentic SEO stack - context over prompts
schlessera
0
1k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Transcript
Kafka Partitioning Algorithm CC LnL 20160902
Kafka Partitioning Algorithm CC LnL 20160902
Kafka Partitioning • Can be keyed • Round robin (mostly)
by default
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
public int partition(String topic, Object key, byte[] keyBytes, Object value,
byte[] valueBytes, Cluster cluster) { List<PartitionInfo> partitions = cluster.partitionsForTopic(topic); int numPartitions = partitions.size(); if (keyBytes == null) { int nextValue = counter.getAndIncrement(); List<PartitionInfo> availablePartitions = cluster.availablePartitionsForTopic(topic); if (availablePartitions.size() > 0) { int part = Utils.toPositive(nextValue) % availablePartitions.size(); return availablePartitions.get(part).partition(); } else { // no partitions are available, give a non-available partition return Utils.toPositive(nextValue) % numPartitions; } } else { // hash the keyBytes to choose a partition return Utils.toPositive(Utils.murmur2(keyBytes)) % numPartitions; } }
Utils.toPositive
public static int toPositive(int number) { return number & 0x7fffffff;
}
0111 1111 1111 1111 1111 1111 1111 1111
0000 0000 0000 0000 0000 0000 0000 1010 & 0111
1111 1111 1111 1111 1111 1111 1111 = 0000 0000 0000 0000 0000 0000 0000 1010
Two’s Complement
0000 0000 0000 0000 0000 0000 0000 1010 1111 1111
1111 1111 1111 1111 1111 0101 1111 1111 1111 1111 1111 1111 1111 1010
1111 1111 1111 1111 1111 1111 1111 1010 & 0111
1111 1111 1111 1111 1111 1111 1111 = 0111 1111 1111 1111 1111 1111 1111 1010
None