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Introduce Apache Pulsar
Some numbers running 4 years in
Production
Components under the hood
Read & Write Paths
SUBSCRIBER
TOPIC
SUBSCRIBER
SUBSCRIBER
PUBLISHER
600+
contributors
9800+ Slack
members
1000+ orgs
using Pulsar
2 BLR
meetups*
Open Source
Apache 2.0
License
Unified
Streaming &
Queuing
Multi-
tenancy
Built for the
cloud
Isolation
Options
Tiered
Storage
Geo
Replication
Auto Load
Balancing
LAST 2 DAYS
LAST 7 DAYS
APP 1 APP 2
PUBLISH CONSUME
BROKER
PUBLISH CONSUME
BROKER
ZOOKEEPER
PULSAR
PUBLISH CONSUME
BROKER
ZOOKEEPER
BOOKKEEPER
PULSAR
PUBLISH CONSUME
BROKER
ZOOKEEPER
BOOKKEEPER
PULSAR
PUBLISH CONSUME
BROKER (TOPIC CACHE)
ZOOKEEPER (COORDINATION)
BOOKKEEPER (DATA)
https://jack-vanlightly.com/blog/2018/10/2/understanding-how-apache-pulsar-works
BOOKKEEPER
CLIENT
BOOKKEEPER
CLIENT
JOURNAL
ENTRY <L1
E1>
ENTRY <L1 E2>
ENTRY<L2 EO>
ENTRY<L2 E1>
ENTRY <L1 E3>
ENTRY <L2 E2>
ENTRY <L3
EO>
JOURNAL
Synchronous write
Legend
WRITE CACHE
BOOKKEEPER
CLIENT
JOURNAL
LEDGER
ENTRY <L1
E1>
ENTRY <L1 E2>
ENTRY<L2 EO>
ENTRY<L2 E1>
ENTRY <L1 E3>
ENTRY <L2 E2>
ENTRY <L3
EO>
WRITE CACHE
JOURNAL
LEDGER
Synchronous write Asynchronous Write
Legend
https://jack-vanlightly.com/blog/2018/10/2/understanding-how-apache-pulsar-works
APP
(PULSAR CLIENT)
JOURNAL
READ
CACHE
LEDGER
INDEX
Open Source
Apache 2.0
License
Unified
Streaming &
Queuing
Multi-
tenancy
Built for the
cloud
Isolation
Options
Tiered
Storage
Geo
Replication
Auto Load
Balancing
1. UNDERSTANDING HOW APACHE PULSAR WORKS BY JACK VANLIGHTLY
2. PULSAR ARCHITECTURE PERFORMANCE TUNING - STREAMNATIVE BLOG
3. HOW PULSAR STORES YOUR DATA – PULSAR SUMMIT NA 2021
4. BOOKKEEPER AS A KEY VALUE STORE AND ITS USE CASES – APACHE FOUNDATION
5. KEEPING ON TOP OF HYBRID CLOUD USE CASES – PULSAR USAGE AT NUTANIX
6. PULSAR VS KAFKA, NATS AND KINESIS – PULSAR SUMMIT ASIA 2022
7. APACHE PULSAR DESIGN CHOICES AND USE CASE IMPLICATIONS
8. TGI Pulsar Playlist by Sijie Guo
9. https://pulsar.apache.org/docs
• PULSAR COMMUNITY
• HTTPS://APACHE-PULSAR.SLACK.COM/
• USERS@PULSAR.APACHE.ORG
• DEV@PULSAR.APACHE.ORG
•
linkedin.com/in/shivjijha/
youtube.com/@ShivjiKumarJha
slideshare.net/shiv4289
Drop me a message on
Streaming features
Data processing in order
Ingestion of large amounts of data
Data retention
Handle big catch-up reads
Message queuing features
Add/remove consumers dynamically
Do not block the queue when a consumer is busy or fails
to consume one message
Redeliver ‘failed’ messages
Scheduled or delayed delivery
is the best of both worlds!
PULSAR DATA STORES :
DISTRIBUTION
tenant
namespace
bundle1 bundle2 bundle3
T
O
P
I
C
1
T
O
P
I
C
2
T
O
P
I
C
3
T
O
P
I
C
4
T
O
P
I
C
5
T
O
P
I
C
6
Shards (aka namespace Bundles) for load balancing
31
tenant
namespace
bundles
Shards (aka namespace Bundles) for load balancing
ledgers
topic
cursors
managed ledger
32
PULSAR DATA STORES :
DISTRIBUTION
tenant
namespace
bundles
Shards (aka namespace Bundles) for load balancing
ledgers
topic
cursors
managed ledger
33
PULSAR DATA STORES :
DISTRIBUTION

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