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http://readme.skplanet.com/?p=12465
https://voltdb.com/sites/default/files/real-time-data-report.pdf 2015 Real-time Data Report by VoltDB
b 효과 같은 a
b 능력 다른 a
b A FP WN
b f4
r w 4
마감 시간(Deadline)
) y4 (( y4
https://www.soasta.com/blog/23-stats-mobile-web-performance-monitoring/
https://en.wikipedia.org/wiki/Real-time_computing
b ? F A FP WN 4
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https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-101
https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102
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Unbound Data h e
작은 배치 처리
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5B5 d 실시간으로 l l
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b s
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실시간 1 목표
스트림 1 방식
http://bigdatapage.com/4-really-real-meanings-of-real-time/
https://tsicilian.wordpress.com/2015/02/16/streaming-big-data-storm-spark-and-samza/
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Exactly-onceb 목표 10초 이내
사용 4
좋아 4
https://twitter.com/jaykreps/status/568499167686995969
https://twitter.com/miguno/status/568503505113247744
Storm vs. Spark Streaming
좋아 4
사용 4 w x
https://databaseline.wordpress.com/2016/03/12/an-overview-of-apache-streaming-technologies/
s o (). (
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m t
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At-most-once 1
At-least-once 1
Exactly-once 1
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8 FHWP SRH
https://twitter.com/mathiasverraes/status/632260618599403520
8 FHWP SRH
M F SRP W S MF I T SGP NR IN W NG W I W 1
8 FHWP SRH I PNY
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8 FHWP SRH I PNY
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m t
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Transactional exactly-once
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YARN
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thin
JDBC client
Apache
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Rake
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Rake
API
Logs
LogAgent
HTTPS
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(select)
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(upsert)
Kafka
Consumer
Kafka Producer
Collector
6=8
6=8
) - g , g
YARN
HDFS
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Apache
Kafka
Kafka
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Kafka Producer
Kafka
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부분 8 FHWP SRH
전체 8 FHWP SRH
데이터 원천 비즈니스 행동 i t
목표 응답 시간 내 반응
실시간 시스템 구축 s c
데이터 파이프라인 배치 처리 pb
l 스트림 처리 p
Appendix
https://lobste.rs/s/ecjfcm/why_is_exactly-once_messaging_not_possible_in_a_distributed_queue/
8 FHWP SRH delivery N impossible.
8 FHWP SRH processing of messages N possible
N WM T SH NRL HFR G FI idempotent.
8 FHWP SRH
8 FHWP SRH
NI TSW RW
8 FHWP SRH
http://readme.skplanet.com/?p=10170

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