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
Kafka Partitioning Algorithm
Search
Gordon Diggs
September 02, 2016
Technology
0
130
Kafka Partitioning Algorithm
A look at the default partitioning algorithm that Kafka uses
Gordon Diggs
September 02, 2016
Tweet
Share
More Decks by Gordon Diggs
See All by Gordon Diggs
John Coltrane: Lessons in Leadership
gordondiggs
2
280
The Customer Gap
gordondiggs
1
100
Picking Records with JavaScript and a Button
gordondiggs
0
74
Supbutton
gordondiggs
0
60
Rayons
gordondiggs
0
61
Sous Vide
gordondiggs
0
78
Dev Events & Internal Tools at Paperless Post
gordondiggs
0
120
The Joys and Pains of Working With an Old Codebase
gordondiggs
0
130
The Joys and Pains of Working with an Old Codebase
gordondiggs
1
2.3k
Other Decks in Technology
See All in Technology
20250807_Kiroと私の反省会
riz3f7
0
220
ファッションコーディネートアプリ「WEAR」における、Vertex AI Vector Searchを利用したレコメンド機能の開発・運用で得られたノウハウの紹介
zozotech
PRO
0
310
AI関数が早くなったので試してみよう
kumakura
0
290
形式手法特論:位相空間としての並行プログラミング #kernelvm / Kernel VM Study Tokyo 18th
ytaka23
3
1.3k
[OCI Technical Deep Dive] OracleのAI戦略(2025年8月5日開催)
oracle4engineer
PRO
1
170
AI時代の経営、Bet AI Vision #BetAIDay
layerx
PRO
1
2k
Claude CodeでKiroの仕様駆動開発を実現させるには...
gotalab555
3
1k
人に寄り添うAIエージェントとアーキテクチャ #BetAIDay
layerx
PRO
9
2.2k
「Roblox」の開発環境とその効率化 ~DAU9700万人超の巨大プラットフォームの開発 事始め~
keitatanji
0
120
事業特性から逆算したインフラ設計
upsider_tech
0
110
Bet "Bet AI" - Accelerating Our AI Journey #BetAIDay
layerx
PRO
4
1.7k
結局QUICで通信は速くなるの?
kota_yata
5
3.3k
Featured
See All Featured
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
332
22k
Code Review Best Practice
trishagee
69
19k
Facilitating Awesome Meetings
lara
54
6.5k
Reflections from 52 weeks, 52 projects
jeffersonlam
351
21k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.4k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
50
5.5k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
Making Projects Easy
brettharned
117
6.3k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3k
Stop Working from a Prison Cell
hatefulcrawdad
271
21k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
36
2.5k
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