Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
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
140
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
290
The Customer Gap
gordondiggs
1
110
Picking Records with JavaScript and a Button
gordondiggs
0
79
Supbutton
gordondiggs
0
63
Rayons
gordondiggs
0
64
Sous Vide
gordondiggs
0
84
Dev Events & Internal Tools at Paperless Post
gordondiggs
0
120
The Joys and Pains of Working With an Old Codebase
gordondiggs
0
140
The Joys and Pains of Working with an Old Codebase
gordondiggs
1
2.3k
Other Decks in Technology
See All in Technology
GitHub Copilotを使いこなす 実例に学ぶAIコーディング活用術
74th
3
3.4k
.NET 10の概要
tomokusaba
0
110
多様なデジタルアイデンティティを攻撃からどうやって守るのか / 20251212
ayokura
0
480
初めてのDatabricks AI/BI Genie
taka_aki
0
200
20251218_AIを活用した開発生産性向上の全社的な取り組みの進め方について / How to proceed with company-wide initiatives to improve development productivity using AI
yayoi_dd
0
110
WordPress は終わったのか ~今のWordPress の制作手法ってなにがあんねん?~ / Is WordPress Over? How We Build with WordPress Today
tbshiki
1
810
re:Invent2025 3つの Frontier Agents を紹介 / introducing-3-frontier-agents
tomoki10
0
230
年間40件以上の登壇を続けて見えた「本当の発信力」/ 20251213 Masaki Okuda
shift_evolve
PRO
1
140
re:Invent 2025 ふりかえり 生成AI版
takaakikakei
1
220
RAG/Agent開発のアップデートまとめ
taka0709
0
180
生成AIを利用するだけでなく、投資できる組織へ / Becoming an Organization That Invests in GenAI
kaminashi
0
100
AWSを使う上で最低限知っておきたいセキュリティ研修を社内で実施した話 ~みんなでやるセキュリティ~
maimyyym
2
1.7k
Featured
See All Featured
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
How GitHub (no longer) Works
holman
316
140k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
Visualization
eitanlees
150
16k
Mobile First: as difficult as doing things right
swwweet
225
10k
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.1k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.2k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
Making Projects Easy
brettharned
120
6.5k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.5k
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