Mix it14

May 5, 20140 likes749 views

The document discusses various messaging protocols and brokers, including JMS, AMQP, STOMP, MQTT, and Kafka. It covers key aspects of each such as architecture, message delivery semantics, reliability guarantees, and performance considerations. The document concludes that messaging systems provide decoupling and buffering between applications while supporting reliable delivery, routing, ordering, and other features.

Comment choisir son
broker de message
Guillaume Arnaud
@guillarnaud

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Offtopic
2
commercial
products
low latency
benchmarks ESB

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Benchmarks
3

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Exchange information !
4
notiﬁcations
RPC
log
centralized
dashboard
synchronization
worker
metrics

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Once upon a time JMS…
5
API (!=protocol)
JMS ∈ JEE
100% Java
JMS 2.02001
Transaction
decoupling

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JMS: client side
6
connexion
session
broker
client
clientsessiontcp!
transport
buffer
buffer

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Beware of wrong asynchronism
7
connection = new ActiveMQConnectionFactory(
"failover:(tcp://localhost:61616)?timeout=1000")
.createConnection();
…
producer.send(queue,message);

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Exit strategy
8
bounded
ABC
A consumer
queue
dead letter queue
B
C
Time To Live
10 seconds
=10 seconds

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JMS: queue vs topic
9
ABC
A
B
C
consumer 1
queue
consumer 2
consumer 3
ABC
A
C
consumer 1
topic
consumer 2
consumer 3
BC
ABC
B
consumer 3

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AMQP: le challenger
10
100% Protocol
interoperability
routing
2006
0.9.1 vs 1.0

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broker
AMQP
11
exchange
queue
publisher
subscriber
subscriberqueue
queue.a.b
queue.a.c
queue.a.*
binding
virtual host

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AMQP: topology
12
exchange
queue
queue
queue
queuefanout
exchange
queue.a.b
fanout
direct
exchange
queue.*.#
queue topic
exchange
queue.a.b (ignored)
queue
header1: value1
header2: value2
…
headers

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STOMP: light messaging
13
textual
light
Simple Text Orientated
Messaging Protocol
2010 (?)
incompatibility
heartbeat
js + ws
security

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MQTT
15
Device
QoSCompact
2007
Last Known Good
semantic
Highly constrained

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MQTT
16
sender server
publish
QoS 0: at most once delivery
client server
publish
ack
QoS 1: at least once delivery
QoS 2: exactly one delivery
receiver
receiver
publish
publish
client server
publish
receive
receiver
publish
complete
release
id
id
id
id

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Kafka
17
distributed
complexity
MessageSet
ZeroCopy
2011
consumer oriented
ordering
append only
LinkedIn
λ & μ-service
architecture

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Kafka
18
producer
consumer consumer
partitionpartition partition partition
serveur serveur
consumer consumer
consumer consumer
consumer group
consumer group
topic:partition topic:partition
zookeeper

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Distribution/high availability
19
broker 1
broker 2
shared
fs/db
load
balancing
High Availability!
actif/actif!
actif/passif
broker 1
broker 2
broker 3
broker 4
P1
C1
Network of brokers!
(a topology example)
failover
Zookeeper!
(robust distribution)
idempotency

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Performance
20
persistance mandatory ?
ﬁlesystemdatabase
distribution
yes
no
batch
prefetch
ack
no
serialization
headers
specialized
queue
ﬂow control

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My subjective solutions
21

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Conclusion
22
decoupling
semantic buffer
routingheartbeat
ordering
batch/prefetch exit strategy
idempotency ﬂow control

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1. Comment choisir son broker de message Guillaume Arnaud @guillarnaud

2. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Offtopic 2 commercial products low latency benchmarks ESB

3. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Benchmarks 3

4. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Exchange information ! 4 notiﬁcations RPC log centralized dashboard synchronization worker metrics

5. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Once upon a time JMS… 5 API (!=protocol) JMS ∈ JEE 100% Java JMS 2.02001 Transaction decoupling

6. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC JMS: client side 6 connexion session broker client clientsessiontcp! transport buffer buffer

7. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Beware of wrong asynchronism 7 connection = new ActiveMQConnectionFactory( "failover:(tcp://localhost:61616)?timeout=1000") .createConnection(); … producer.send(queue,message);

8. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Exit strategy 8 bounded ABC A consumer queue dead letter queue B C Time To Live 10 seconds =10 seconds

9. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC JMS: queue vs topic 9 ABC A B C consumer 1 queue consumer 2 consumer 3 ABC A C consumer 1 topic consumer 2 consumer 3 BC ABC B consumer 3

10. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC AMQP: le challenger 10 100% Protocol interoperability routing 2006 0.9.1 vs 1.0

11. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC broker AMQP 11 exchange queue publisher subscriber subscriberqueue queue.a.b queue.a.c queue.a.* binding virtual host

12. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC AMQP: topology 12 exchange queue queue queue queuefanout exchange queue.a.b fanout direct exchange queue.*.# queue topic exchange queue.a.b (ignored) queue header1: value1 header2: value2 … headers

13. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC STOMP: light messaging 13 textual light Simple Text Orientated Messaging Protocol 2010 (?) incompatibility heartbeat js + ws security

14. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC STOMP: message structure 14 COMMAND header1:value1 header2:value2 ! Body^@ CONNECT accept-version:1.0,1.2 host:myhost heart-beat: 10,20 ! ^@ CONNECTED version:1.2 heart-beat:10,20 ! ^@ SEND destination:/queue/a content-type:text/plain ! hello ^@ SUBSCRIBE id:0 destination:/queue/a ack:client ! ^@ MESSAGE subscription:0 message-id:003 destination: /queue/a content-type:text/plain ! hello ^@

15. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC MQTT 15 Device QoSCompact 2007 Last Known Good semantic Highly constrained

16. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC MQTT 16 sender server publish QoS 0: at most once delivery client server publish ack QoS 1: at least once delivery QoS 2: exactly one delivery receiver receiver publish publish client server publish receive receiver publish complete release id id id id

17. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Kafka 17 distributed complexity MessageSet ZeroCopy 2011 consumer oriented ordering append only LinkedIn λ & μ-service architecture

18. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Kafka 18 producer consumer consumer partitionpartition partition partition serveur serveur consumer consumer consumer consumer consumer group consumer group topic:partition topic:partition zookeeper

19. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Distribution/high availability 19 broker 1 broker 2 shared fs/db load balancing High Availability! actif/actif! actif/passif broker 1 broker 2 broker 3 broker 4 P1 C1 Network of brokers! (a topology example) failover Zookeeper! (robust distribution) idempotency

20. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Performance 20 persistance mandatory ? ﬁlesystemdatabase distribution yes no batch prefetch ack no serialization headers specialized queue ﬂow control

21. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC My subjective solutions 21

22. • EBIA ALLIANCE = XEBIA + XEBIALABS + THIGA + UX REPUBLIC Conclusion 22 decoupling semantic buffer routingheartbeat ordering batch/prefetch exit strategy idempotency ﬂow control

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