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## 参考文献
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1. Henry Robinson: “[The Elephant Was a Trojan Horse: On the Death of Map-Reduce at Google](http://the-paper-trail.org/blog/the-elephant-was-a-trojan-horse-on-the-death-of-map-reduce-at-google/),” *the-paper-trail.org*, June 25, 2014.
1. Henry Robinson: “[The Elephant Was a Trojan Horse: On the Death of Map-Reduce at Google](https://www.the-paper-trail.org/post/2014-06-25-the-elephant-was-a-trojan-horse-on-the-death-of-map-reduce-at-google/),” *the-paper-trail.org*, June 25, 2014.
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1. Doug McIlroy:[Internal Bell Labs memo](https://swtch.com/~rsc/thread/mdmpipe.pdf), October 1964. Cited in: Dennis M. Richie: “[Advice from Doug McIlroy](https://www.bell-labs.com/usr/dmr/www/mdmpipe.html),” *bell-labs.com*.
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@ -744,15 +744,15 @@ Spark、Flink 和 Tez 避免将中间状态写入 HDFS因此它们采取了
1. Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung: “[The Google File System](http://research.google.com/archive/gfs-sosp2003.pdf),” at *19th ACM Symposium on Operating Systems Principles* (SOSP), October 2003. [doi:10.1145/945445.945450](http://dx.doi.org/10.1145/945445.945450)
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1. Zhe Zhang, Andrew Wang, Kai Zheng, et al.: “[Introduction to HDFS Erasure Coding in Apache Hadoop](http://blog.cloudera.com/blog/2015/09/introduction-to-hdfs-erasure-coding-in-apache-hadoop/),” *blog.cloudera.com*, September 23, 2015.
1. Peter Cnudde: “[Hadoop Turns 10](http://yahoohadoop.tumblr.com/post/138739227316/hadoop-turns-10),” *yahoohadoop.tumblr.com*, February 5, 2016.
1. Eric Baldeschwieler: “[Thinking About the HDFS vs. Other Storage Technologies](http://hortonworks.com/blog/thinking-about-the-hdfs-vs-other-storage-technologies/),” *hortonworks.com*, July 25, 2012.
1. Zhe Zhang, Andrew Wang, Kai Zheng, et al.: “[Introduction to HDFS Erasure Coding in Apache Hadoop](https://blog.cloudera.com/introduction-to-hdfs-erasure-coding-in-apache-hadoop/),” *blog.cloudera.com*, September 23, 2015.
1. Peter Cnudde: “[Hadoop Turns 10](https://web.archive.org/web/20190119112713/https://yahoohadoop.tumblr.com/post/138739227316/hadoop-turns-10),” *yahoohadoop.tumblr.com*, February 5, 2016.
1. Eric Baldeschwieler: “[Thinking About the HDFS vs. Other Storage Technologies](https://web.archive.org/web/20190529215115/http://hortonworks.com/blog/thinking-about-the-hdfs-vs-other-storage-technologies/),” *hortonworks.com*, July 25, 2012.
1. Brendan Gregg: “[Manta: Unix Meets Map Reduce](http://dtrace.org/blogs/brendan/2013/06/25/manta-unix-meets-map-reduce/),” *dtrace.org*, June 25, 2013.
1. Tom White: *Hadoop: The Definitive Guide*, 4th edition. O'Reilly Media, 2015. ISBN: 978-1-491-90163-2
1. Jim N. Gray: “[Distributed Computing Economics](http://arxiv.org/pdf/cs/0403019.pdf),” Microsoft Research Tech Report MSR-TR-2003-24, March 2003.
1. Márton Trencséni: “[Luigi vs Airflow vs Pinball](http://bytepawn.com/luigi-airflow-pinball.html),” *bytepawn.com*, February 6, 2016.
1. Roshan Sumbaly, Jay Kreps, and Sam Shah: “[The 'Big Data' Ecosystem at LinkedIn](http://www.slideshare.net/s_shah/the-big-data-ecosystem-at-linkedin-23512853),” at *ACM International Conference on Management of Data (SIGMOD)*, July 2013. [doi:10.1145/2463676.2463707](http://dx.doi.org/10.1145/2463676.2463707)
1. Alan F. Gates, Olga Natkovich, Shubham Chopra, et al.: “[Building a High-Level Dataflow System on Top of Map-Reduce: The Pig Experience](http://www.vldb.org/pvldb/2/vldb09-1074.pdf),” at *35th International Conference on Very Large Data Bases* (VLDB), August 2009.
1. Alan F. Gates, Olga Natkovich, Shubham Chopra, et al.: “[Building a High-Level Dataflow System on Top of Map-Reduce: The Pig Experience](http://www.vldb.org/pvldb/vol2/vldb09-1074.pdf),” at *35th International Conference on Very Large Data Bases* (VLDB), August 2009.
1. Ashish Thusoo, Joydeep Sen Sarma, Namit Jain, et al.: “[Hive A Petabyte Scale Data Warehouse Using Hadoop](http://i.stanford.edu/~ragho/hive-icde2010.pdf),” at *26th IEEE International Conference on Data Engineering* (ICDE), March 2010. [doi:10.1109/ICDE.2010.5447738](http://dx.doi.org/10.1109/ICDE.2010.5447738)
1. “[Cascading 3.0 User Guide](http://docs.cascading.org/cascading/3.0/userguide/),” Concurrent, Inc., *docs.cascading.org*, January 2016.
1. “[Apache Crunch User Guide](https://crunch.apache.org/user-guide.html),” Apache Software Foundation, *crunch.apache.org*.
@ -767,19 +767,19 @@ Spark、Flink 和 Tez 避免将中间状态写入 HDFS因此它们采取了
1. Matthieu Monsch: “[Open-Sourcing PalDB, a Lightweight Companion for Storing Side Data](https://engineering.linkedin.com/blog/2015/10/open-sourcing-paldb--a-lightweight-companion-for-storing-side-da),” *engineering.linkedin.com*, October 26, 2015.
1. Daniel Peng and Frank Dabek: “[Large-Scale Incremental Processing Using Distributed Transactions and Notifications](https://www.usenix.org/legacy/event/osdi10/tech/full_papers/Peng.pdf),” at *9th USENIX conference on Operating Systems Design and Implementation* (OSDI), October 2010.
1. “["Cloudera Search User Guide,"](http://www.cloudera.com/documentation/cdh/5-1-x/Search/Cloudera-Search-User-Guide/Cloudera-Search-User-Guide.html) Cloudera, Inc., September 2015.
1. Lili Wu, Sam Shah, Sean Choi, et al.: “[The Browsemaps: Collaborative Filtering at LinkedIn](http://ls13-www.cs.uni-dortmund.de/homepage/rsweb2014/papers/rsweb2014_submission_3.pdf),” at *6th Workshop on Recommender Systems and the Social Web* (RSWeb), October 2014.
1. Lili Wu, Sam Shah, Sean Choi, et al.: “[The Browsemaps: Collaborative Filtering at LinkedIn](http://ceur-ws.org/Vol-1271/Paper3.pdf),” at *6th Workshop on Recommender Systems and the Social Web* (RSWeb), October 2014.
1. Roshan Sumbaly, Jay Kreps, Lei Gao, et al.: “[Serving Large-Scale Batch Computed Data with Project Voldemort](http://static.usenix.org/events/fast12/tech/full_papers/Sumbaly.pdf),” at *10th USENIX Conference on File and Storage Technologies* (FAST), February 2012.
1. Varun Sharma: “[Open-Sourcing Terrapin: A Serving System for Batch Generated Data](https://engineering.pinterest.com/blog/open-sourcing-terrapin-serving-system-batch-generated-data-0),” *engineering.pinterest.com*, September 14, 2015.
1. Varun Sharma: “[Open-Sourcing Terrapin: A Serving System for Batch Generated Data](https://web.archive.org/web/20170215032514/https://engineering.pinterest.com/blog/open-sourcing-terrapin-serving-system-batch-generated-data-0),” *engineering.pinterest.com*, September 14, 2015.
1. Nathan Marz: “[ElephantDB](http://www.slideshare.net/nathanmarz/elephantdb),” *slideshare.net*, May 30, 2011.
1. Jean-Daniel (JD) Cryans: “[How-to: Use HBase Bulk Loading, and Why](http://blog.cloudera.com/blog/2013/09/how-to-use-hbase-bulk-loading-and-why/),” *blog.cloudera.com*, September 27, 2013.
1. Jean-Daniel (JD) Cryans: “[How-to: Use HBase Bulk Loading, and Why](https://blog.cloudera.com/how-to-use-hbase-bulk-loading-and-why/),” *blog.cloudera.com*, September 27, 2013.
1. Nathan Marz: “[How to Beat the CAP Theorem](http://nathanmarz.com/blog/how-to-beat-the-cap-theorem.html),” *nathanmarz.com*, October 13, 2011.
1. Molly Bartlett Dishman and Martin Fowler: “[Agile Architecture](http://conferences.oreilly.com/software-architecture/sa2015/public/schedule/detail/40388),” at *O'Reilly Software Architecture Conference*, March 2015.
1. David J. DeWitt and Jim N. Gray: “[Parallel Database Systems: The Future of High Performance Database Systems](http://www.cs.cmu.edu/~pavlo/courses/fall2013/static/papers/dewittgray92.pdf),” *Communications of the ACM*, volume 35, number 6, pages 8598, June 1992. [doi:10.1145/129888.129894](http://dx.doi.org/10.1145/129888.129894)
1. Jay Kreps: “[But the multi-tenancy thing is actually really really hard](https://twitter.com/jaykreps/status/528235702480142336),” tweetstorm, *twitter.com*, October 31, 2014.
1. Jeffrey Cohen, Brian Dolan, Mark Dunlap, et al.: “[MAD Skills: New Analysis Practices for Big Data](http://www.vldb.org/pvldb/2/vldb09-219.pdf),” *Proceedings of the VLDB Endowment*, volume 2, number 2, pages 14811492, August 2009. [doi:10.14778/1687553.1687576](http://dx.doi.org/10.14778/1687553.1687576)
1. Jeffrey Cohen, Brian Dolan, Mark Dunlap, et al.: “[MAD Skills: New Analysis Practices for Big Data](http://www.vldb.org/pvldb/vol2/vldb09-219.pdf),” *Proceedings of the VLDB Endowment*, volume 2, number 2, pages 14811492, August 2009. [doi:10.14778/1687553.1687576](http://dx.doi.org/10.14778/1687553.1687576)
1. Ignacio Terrizzano, Peter Schwarz, Mary Roth, and John E. Colino: “[Data Wrangling: The Challenging Journey from the Wild to the Lake](http://cidrdb.org/cidr2015/Papers/CIDR15_Paper2.pdf),” at *7th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2015.
1. Paige Roberts: “[To Schema on Read or to Schema on Write, That Is the Hadoop Data Lake Question](http://adaptivesystemsinc.com/blog/to-schema-on-read-or-to-schema-on-write-that-is-the-hadoop-data-lake-question/),” *adaptivesystemsinc.com*, July 2, 2015.
1. Bobby Johnson and Joseph Adler: “[The Sushi Principle: Raw Data Is Better](https://vimeo.com/123985284),” at *Strata+Hadoop World*, February 2015.
1. Bobby Johnson and Joseph Adler: “[The Sushi Principle: Raw Data Is Better](https://conferences.oreilly.com/strata/big-data-conference-ca-2015/public/schedule/detail/38737),” at *Strata+Hadoop World*, February 2015.
1. Vinod Kumar Vavilapalli, Arun C. Murthy, Chris Douglas, et al.: “[Apache Hadoop YARN: Yet Another Resource Negotiator](http://www.socc2013.org/home/program/a5-vavilapalli.pdf),” at *4th ACM Symposium on Cloud Computing* (SoCC), October 2013. [doi:10.1145/2523616.2523633](http://dx.doi.org/10.1145/2523616.2523633)
1. Abhishek Verma, Luis Pedrosa, Madhukar Korupolu, et al.: “[Large-Scale Cluster Management at Google with Borg](http://research.google.com/pubs/pub43438.html),” at *10th European Conference on Computer Systems* (EuroSys), April 2015. [doi:10.1145/2741948.2741964](http://dx.doi.org/10.1145/2741948.2741964)
1. Malte Schwarzkopf: “[The Evolution of Cluster Scheduler Architectures](http://www.firmament.io/blog/scheduler-architectures.html),” *firmament.io*, March 9, 2016.
@ -789,7 +789,7 @@ Spark、Flink 和 Tez 避免将中间状态写入 HDFS因此它们采取了
1. Bikas Saha, Hitesh Shah, Siddharth Seth, et al.: “[Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications](http://home.cse.ust.hk/~weiwa/teaching/Fall15-COMP6611B/reading_list/Tez.pdf),” at *ACM International Conference on Management of Data* (SIGMOD), June 2015. [doi:10.1145/2723372.2742790](http://dx.doi.org/10.1145/2723372.2742790)
1. Kostas Tzoumas: “[Apache Flink: API, Runtime, and Project Roadmap](http://www.slideshare.net/KostasTzoumas/apache-flink-api-runtime-and-project-roadmap),” *slideshare.net*, January 14, 2015.
1. Alexander Alexandrov, Rico Bergmann, Stephan Ewen, et al.: “[The Stratosphere Platform for Big Data Analytics](https://ssc.io/pdf/2014-VLDBJ_Stratosphere_Overview.pdf),” *The VLDB Journal*, volume 23, number 6, pages 939964, May 2014. [doi:10.1007/s00778-014-0357-y](http://dx.doi.org/10.1007/s00778-014-0357-y)
1. Michael Isard, Mihai Budiu, Yuan Yu, et al.: “[Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks](http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf),” at *European Conference on Computer Systems* (EuroSys), March 2007. [doi:10.1145/1272996.1273005](http://dx.doi.org/10.1145/1272996.1273005)
1. Michael Isard, Mihai Budiu, Yuan Yu, et al.: “[Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks](https://www.microsoft.com/en-us/research/publication/dryad-distributed-data-parallel-programs-from-sequential-building-blocks/),” at *European Conference on Computer Systems* (EuroSys), March 2007. [doi:10.1145/1272996.1273005](http://dx.doi.org/10.1145/1272996.1273005)
1. Daniel Warneke and Odej Kao: “[Nephele: Efficient Parallel Data Processing in the Cloud](https://stratosphere2.dima.tu-berlin.de/assets/papers/Nephele_09.pdf),” at *2nd Workshop on Many-Task Computing on Grids and Supercomputers* (MTAGS), November 2009. [doi:10.1145/1646468.1646476](http://dx.doi.org/10.1145/1646468.1646476)
1. Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd: ["The PageRank"](http://ilpubs.stanford.edu:8090/422/)
1. Leslie G. Valiant: “[A Bridging Model for Parallel Computation](http://dl.acm.org/citation.cfm?id=79181),” *Communications of the ACM*, volume 33, number 8, pages 103111, August 1990. [doi:10.1145/79173.79181](http://dx.doi.org/10.1145/79173.79181)
@ -800,10 +800,10 @@ Spark、Flink 和 Tez 避免将中间状态写入 HDFS因此它们采取了
1. Aapo Kyrola, Guy Blelloch, and Carlos Guestrin: “[GraphChi: Large-Scale Graph Computation on Just a PC](https://www.usenix.org/system/files/conference/osdi12/osdi12-final-126.pdf),” at *10th USENIX Symposium on Operating Systems Design and Implementation* (OSDI), October 2012.
1. Andrew Lenharth, Donald Nguyen, and Keshav Pingali: “[Parallel Graph Analytics](http://cacm.acm.org/magazines/2016/5/201591-parallel-graph-analytics/fulltext),” *Communications of the ACM*, volume 59, number 5, pages 7887, May [doi:10.1145/2901919](http://dx.doi.org/10.1145/2901919)
1. Fabian Hüske: “[Peeking into Apache Flink's Engine Room](http://flink.apache.org/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html),” *flink.apache.org*, March 13, 2015.
1. Mostafa Mokhtar: “[Hive 0.14 Cost Based Optimizer (CBO) Technical Overview](http://hortonworks.com/blog/hive-0-14-cost-based-optimizer-cbo-technical-overview/),” *hortonworks.com*, March 2, 2015.
1. Mostafa Mokhtar: “[Hive 0.14 Cost Based Optimizer (CBO) Technical Overview](https://web.archive.org/web/20170607112708/http://hortonworks.com/blog/hive-0-14-cost-based-optimizer-cbo-technical-overview/),” *hortonworks.com*, March 2, 2015.
1. Michael Armbrust, Reynold S Xin, Cheng Lian, et al.: “[Spark SQL: Relational Data Processing in Spark](http://people.csail.mit.edu/matei/papers/2015/sigmod_spark_sql.pdf),” at *ACM International Conference on Management of Data* (SIGMOD), June 2015. [doi:10.1145/2723372.2742797](http://dx.doi.org/10.1145/2723372.2742797)
1. Daniel Blazevski: “[Planting Quadtrees for Apache Flink](http://insightdataengineering.com/blog/flink-knn/),” *insightdataengineering.com*, March 25, 2016.
1. Tom White: “[Genome Analysis Toolkit: Now Using Apache Spark for Data Processing](http://blog.cloudera.com/blog/2016/04/genome-analysis-toolkit-now-using-apache-spark-for-data-processing/),” *blog.cloudera.com*, April 6, 2016.
1. Tom White: “[Genome Analysis Toolkit: Now Using Apache Spark for Data Processing](https://web.archive.org/web/20190215132904/http://blog.cloudera.com/blog/2016/04/genome-analysis-toolkit-now-using-apache-spark-for-data-processing/),” *blog.cloudera.com*, April 6, 2016.
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1. Seth Lowenberger: “[MoldUDP64 Protocol Specification V 1.00](http://www.nasdaqtrader.com/content/technicalsupport/specifications/dataproducts/moldudp64.pdf),” *nasdaqtrader.com*, July 2009.
1. Pieter Hintjens: [*ZeroMQ The Guide*](http://zguide.zeromq.org/page:all). O'Reilly Media, 2013. ISBN: 978-1-449-33404-8
1. Ian Malpass: “[Measure Anything, Measure Everything](https://codeascraft.com/2011/02/15/measure-anything-measure-everything/),” *codeascraft.com*, February 15, 2011.
1. Dieter Plaetinck: “[25 Graphite, Grafana and statsd Gotchas](https://blog.raintank.io/25-graphite-grafana-and-statsd-gotchas/),” *blog.raintank.io*, March 3, 2016.
1. Dieter Plaetinck: “[25 Graphite, Grafana and statsd Gotchas](https://grafana.com/blog/2016/03/03/25-graphite-grafana-and-statsd-gotchas/),” *grafana.com*, March 3, 2016.
1. Jeff Lindsay: “[Web Hooks to Revolutionize the Web](https://web.archive.org/web/20180928201955/http://progrium.com/blog/2007/05/03/web-hooks-to-revolutionize-the-web/),” *progrium.com*, May 3, 2007.
1. Jim N. Gray: “[Queues Are Databases](http://research.microsoft.com/pubs/69641/tr-95-56.pdf),” Microsoft Research Technical Report MSR-TR-95-56, December 1995.
1. Jim N. Gray: “[Queues Are Databases](https://arxiv.org/pdf/cs/0701158.pdf),” Microsoft Research Technical Report MSR-TR-95-56, December 1995.
1. Mark Hapner, Rich Burridge, Rahul Sharma, et al.: “[JSR-343 Java Message Service (JMS) 2.0 Specification](https://jcp.org/en/jsr/detail?id=343),” *jms-spec.java.net*, March 2013.
1. Sanjay Aiyagari, Matthew Arrott, Mark Atwell, et al.: “[AMQP: Advanced Message Queuing Protocol Specification](http://www.rabbitmq.com/resources/specs/amqp0-9-1.pdf),” Version 0-9-1, November 2008.
1. “[Google Cloud Pub/Sub: A Google-Scale Messaging Service](https://cloud.google.com/pubsub/architecture),” *cloud.google.com*, 2016.
@ -741,7 +741,7 @@ Storm 的 Trident 基于类似的想法来处理状态【78】。依赖幂等性
1. Jay Kreps, Neha Narkhede, and Jun Rao: “[Kafka: A Distributed Messaging System for Log Processing](http://www.longyu23.com/doc/Kafka.pdf),” at *6th International Workshop on Networking Meets Databases* (NetDB), June 2011.
1. “[Amazon Kinesis Streams Developer Guide](http://docs.aws.amazon.com/streams/latest/dev/introduction.html),” *docs.aws.amazon.com*, April 2016.
1. Leigh Stewart and Sijie Guo: “[Building DistributedLog: Twitters High-Performance Replicated Log Service](https://blog.twitter.com/2015/building-distributedlog-twitter-s-high-performance-replicated-log-service),” *blog.twitter.com*, September 16, 2015.
1. “[DistributedLog Documentation](http://distributedlog.incubator.apache.org/docs/latest/),” Twitter, Inc., *distributedlog.io*, May 2016.
1. “[DistributedLog Documentation](https://bookkeeper.apache.org/distributedlog/docs/latest/),” Apache Software Foundation, *distributedlog.io*.
1. Jay Kreps: “[Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machines)](https://engineering.linkedin.com/kafka/benchmarking-apache-kafka-2-million-writes-second-three-cheap-machines),” *engineering.linkedin.com*, April 27, 2014.
1. Kartik Paramasivam: “[How Were Improving and Advancing Kafka at LinkedIn](https://engineering.linkedin.com/apache-kafka/how-we_re-improving-and-advancing-kafka-linkedin),” *engineering.linkedin.com*, September 2, 2015.
1. Jay Kreps: “[The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction](http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying),” *engineering.linkedin.com*, December 16, 2013.
@ -749,7 +749,7 @@ Storm 的 Trident 基于类似的想法来处理状态【78】。依赖幂等性
1. Yogeshwer Sharma, Philippe Ajoux, Petchean Ang, et al.: “[Wormhole: Reliable Pub-Sub to Support Geo-Replicated Internet Services](https://www.usenix.org/system/files/conference/nsdi15/nsdi15-paper-sharma.pdf),” at *12th USENIX Symposium on Networked Systems Design and Implementation* (NSDI), May 2015.
1. P. P. S. Narayan: “[Sherpa Update](http://web.archive.org/web/20160801221400/https://developer.yahoo.com/blogs/ydn/sherpa-7992.html),” *developer.yahoo.com*, June 8, .
1. Martin Kleppmann: “[Bottled Water: Real-Time Integration of PostgreSQL and Kafka](http://martin.kleppmann.com/2015/04/23/bottled-water-real-time-postgresql-kafka.html),” *martin.kleppmann.com*, April 23, 2015.
1. Ben Osheroff: “[Introducing Maxwell, a mysql-to-kafka Binlog Processor](https://developer.zendesk.com/blog/introducing-maxwell-a-mysql-to-kafka-binlog-processor),” *developer.zendesk.com*, August 20, 2015.
1. Ben Osheroff: “[Introducing Maxwell, a mysql-to-kafka Binlog Processor](https://web.archive.org/web/20170208100334/https://developer.zendesk.com/blog/introducing-maxwell-a-mysql-to-kafka-binlog-processor),” *developer.zendesk.com*, August 20, 2015.
1. Randall Hauch: “[Debezium 0.2.1 Released](http://debezium.io/blog/2016/06/10/Debezium-0/),” *debezium.io*, June 10, 2016.
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1. “[Mongoriver](https://github.com/stripe/mongoriver),” Stripe, Inc., *github.com*, September 2014.
@ -764,19 +764,19 @@ Storm 的 Trident 基于类似的想法来处理状态【78】。依赖幂等性
1. Neha Narkhede: “[Announcing Kafka Connect: Building Large-Scale Low-Latency Data Pipelines](http://www.confluent.io/blog/announcing-kafka-connect-building-large-scale-low-latency-data-pipelines),” *confluent.io*, February 18, 2016.
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1. Martin Kleppmann: “[Accounting for Computer Scientists](http://martin.kleppmann.com/2011/03/07/accounting-for-computer-scientists.html),” *martin.kleppmann.com*, March 7, 2011.
1. Pat Helland: “[Accountants Don't Use Erasers](https://blogs.msdn.microsoft.com/pathelland/2007/06/14/accountants-dont-use-erasers/),” *blogs.msdn.com*, June 14, 2007.
1. Fangjin Yang: “[Dogfooding with Druid, Samza, and Kafka: Metametrics at Metamarkets](https://metamarkets.com/2015/dogfooding-with-druid-samza-and-kafka-metametrics-at-metamarkets/),” *metamarkets.com*, June 3, 2015.
1. Gavin Li, Jianqiu Lv, and Hang Qi: “[Pistachio: Co-Locate the Data and Compute for Fastest Cloud Compute](http://yahoohadoop.tumblr.com/post/116365275781/pistachio-co-locate-the-data-and-compute-for),” *yahoohadoop.tumblr.com*, April 13, 2015.
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1. Kartik Paramasivam: “[Stream Processing Hard Problems Part 1: Killing Lambda](https://engineering.linkedin.com/blog/2016/06/stream-processing-hard-problems-part-1-killing-lambda),” *engineering.linkedin.com*, June 27, 2016.
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@ -787,20 +787,20 @@ Storm 的 Trident 基于类似的想法来处理状态【78】。依赖幂等性
1. Jay Kreps: “[The irony of distributed systems is that data loss is really easy but deleting data is surprisingly hard,](https://twitter.com/jaykreps/status/582580836425330688)” *twitter.com*, March 30, 2015.
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1. Srinath Perera: “[How Is Stream Processing and Complex Event Processing (CEP) Different?](https://www.quora.com/How-is-stream-processing-and-complex-event-processing-CEP-different),” *quora.com*, December 3, 2015.
1. Arvind Arasu, Shivnath Babu, and Jennifer Widom: “[The CQL Continuous Query Language: Semantic Foundations and Query Execution](http://research.microsoft.com/pubs/77607/cql.pdf),” *The VLDB Journal*, volume 15, number 2, pages 121142, June 2006. [doi:10.1007/s00778-004-0147-z](http://dx.doi.org/10.1007/s00778-004-0147-z)
1. Arvind Arasu, Shivnath Babu, and Jennifer Widom: “[The CQL Continuous Query Language: Semantic Foundations and Query Execution](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/cql.pdf),” *The VLDB Journal*, volume 15, number 2, pages 121142, June 2006. [doi:10.1007/s00778-004-0147-z](http://dx.doi.org/10.1007/s00778-004-0147-z)
1. Julian Hyde: “[Data in Flight: How Streaming SQL Technology Can Help Solve the Web 2.0 Data Crunch](http://queue.acm.org/detail.cfm?id=1667562),” *ACM Queue*, volume 7, number 11, December 2009. [doi:10.1145/1661785.1667562](http://dx.doi.org/10.1145/1661785.1667562)
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1. Philippe Flajolet, Éric Fusy, Olivier Gandouet, and Frédéric Meunier: “[HyperLogLog: The Analysis of a Near-Optimal Cardinality Estimation Algorithm](http://algo.inria.fr/flajolet/Publications/FlFuGaMe07.pdf),” at *Conference on Analysis of Algorithms* (AofA), June 2007.
1. Jay Kreps: “[Questioning the Lambda Architecture](https://www.oreilly.com/ideas/questioning-the-lambda-architecture),” *oreilly.com*, July 2, 2014.
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1. Jay Kreps: “[Why Local State Is a Fundamental Primitive in Stream Processing](https://www.oreilly.com/ideas/why-local-state-is-a-fundamental-primitive-in-stream-processing),” *oreilly.com*, July 31, 2014.
1. Shay Banon: “[Percolator](https://www.elastic.co/blog/percolator),” *elastic.co*, February 8, 2011.
1. Alan Woodward and Martin Kleppmann: “[Real-Time Full-Text Search with Luwak and Samza](http://martin.kleppmann.com/2015/04/13/real-time-full-text-search-luwak-samza.html),” *martin.kleppmann.com*, April 13, 2015.
1. “[Apache Storm 1.0.1 Documentation](https://storm.apache.org/releases/1.0.1/index.html),” *storm.apache.org*, May 2016.
1. “[Apache Storm 2.1.0 Documentation](https://storm.apache.org/releases/2.1.0/index.html),” *storm.apache.org*, October 2019.
1. Tyler Akidau: “[The World Beyond Batch: Streaming 102](https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102),” *oreilly.com*, January 20, 2016.
1. Stephan Ewen: “[Streaming Analytics with Apache Flink](http://www.confluent.io/kafka-summit-2016-systems-advanced-streaming-analytics-with-apache-flink-and-apache-kafka),” at *Kafka Summit*, April 2016.
1. Stephan Ewen: “[Streaming Analytics with Apache Flink](https://www.confluent.io/resources/kafka-summit-2016/advanced-streaming-analytics-apache-flink-apache-kafka/),” at *Kafka Summit*, April 2016.
1. Tyler Akidau, Alex Balikov, Kaya Bekiroğlu, et al.: “[MillWheel: Fault-Tolerant Stream Processing at Internet Scale](http://research.google.com/pubs/pub41378.html),” at *39th International Conference on Very Large Data Bases* (VLDB), August 2013.
1. Alex Dean: “[Improving Snowplow's Understanding of Time](http://snowplowanalytics.com/blog/2015/09/15/improving-snowplows-understanding-of-time/),” *snowplowanalytics.com*, September 15, 2015.
1. “[Windowing (Azure Stream Analytics)](https://msdn.microsoft.com/en-us/library/azure/dn835019.aspx),” Microsoft Azure Reference, *msdn.microsoft.com*, April 2016.
@ -812,7 +812,7 @@ Storm 的 Trident 基于类似的想法来处理状态【78】。依赖幂等性
1. Ralph Kimball and Margy Ross: *The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling*, 3rd edition. John Wiley & Sons, 2013. ISBN: 978-1-118-53080-1
1. Viktor Klang: “[I'm coining the phrase 'effectively-once' for message processing with at-least-once + idempotent operations](https://twitter.com/viktorklang/status/789036133434978304),” *twitter.com*, October 20, 2016.
1. Matei Zaharia, Tathagata Das, Haoyuan Li, et al.: “[Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters](https://www.usenix.org/system/files/conference/hotcloud12/hotcloud12-final28.pdf),” at *4th USENIX Conference in Hot Topics in Cloud Computing* (HotCloud), June 2012.
1. Kostas Tzoumas, Stephan Ewen, and Robert Metzger: “[High-Throughput, Low-Latency, and Exactly-Once Stream Processing with Apache Flink](http://data-artisans.com/high-throughput-low-latency-and-exactly-once-stream-processing-with-apache-flink/),” *data-artisans.com*, August 5, 2015.
1. Kostas Tzoumas, Stephan Ewen, and Robert Metzger: “[High-Throughput, Low-Latency, and Exactly-Once Stream Processing with Apache Flink](https://www.ververica.com/blog/high-throughput-low-latency-and-exactly-once-stream-processing-with-apache-flink),” *ververica.com*, August 5, 2015.
1. Paris Carbone, Gyula Fóra, Stephan Ewen, et al.: “[Lightweight Asynchronous Snapshots for Distributed Dataflows](http://arxiv.org/abs/1506.08603),” arXiv:1506.08603 [cs.DC], June 29, 2015.
1. Ryan Betts and John Hugg: [*Fast Data: Smart and at Scale*](http://www.oreilly.com/data/free/fast-data-smart-and-at-scale.csp). Report, O'Reilly Media, October 2015.
1. Flavio Junqueira: “[Making Sense of Exactly-Once Semantics](http://conferences.oreilly.com/strata/hadoop-big-data-eu/public/schedule/detail/49690),” at *Strata+Hadoop World London*, June 2016.

24
ch12.md
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@ -891,19 +891,19 @@ ACID 意义下的一致性(请参阅 “[一致性](ch7.md#一致性)”)基
1. Rachid Belaid: “[Postgres Full-Text Search is Good Enough!](http://rachbelaid.com/postgres-full-text-search-is-good-enough/),” *rachbelaid.com*, July 13, 2015.
1. Philippe Ajoux, Nathan Bronson, Sanjeev Kumar, et al.: “[Challenges to Adopting Stronger Consistency at Scale](https://www.usenix.org/system/files/conference/hotos15/hotos15-paper-ajoux.pdf),” at *15th USENIX Workshop on Hot Topics in Operating Systems* (HotOS), May 2015.
1. Pat Helland and Dave Campbell: “[Building on Quicksand](https://database.cs.wisc.edu/cidr/cidr2009/Paper_133.pdf),” at *4th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2009.
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1. Jessica Kerr: “[Provenance and Causality in Distributed Systems](https://web.archive.org/web/20190425150540/http://blog.jessitron.com/2016/09/provenance-and-causality-in-distributed.html),” *blog.jessitron.com*, September 25, 2016.
1. Kostas Tzoumas: “[Batch Is a Special Case of Streaming](http://data-artisans.com/batch-is-a-special-case-of-streaming/),” *data-artisans.com*, September 15, 2015.
1. Shinji Kim and Robert Blafford: “[Stream Windowing Performance Analysis: Concord and Spark Streaming](http://concord.io/posts/windowing_performance_analysis_w_spark_streaming),” *concord.io*, July 6, 2016.
1. Shinji Kim and Robert Blafford: “[Stream Windowing Performance Analysis: Concord and Spark Streaming](https://web.archive.org/web/20180125074821/http://concord.io/posts/windowing_performance_analysis_w_spark_streaming),” *concord.io*, July 6, 2016.
1. Jay Kreps: “[The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction](http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying),” *engineering.linkedin.com*, December 16, 2013.
1. Pat Helland: “[Life Beyond Distributed Transactions: An Apostates Opinion](http://www-db.cs.wisc.edu/cidr/cidr2007/papers/cidr07p15.pdf),” at *3rd Biennial Conference on Innovative Data Systems Research* (CIDR), January 2007.
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1. Jay Kreps: “[Questioning the Lambda Architecture](https://www.oreilly.com/ideas/questioning-the-lambda-architecture),” *oreilly.com*, July 2, 2014.
1. Raul Castro Fernandez, Peter Pietzuch, Jay Kreps, et al.: “[Liquid: Unifying Nearline and Offline Big Data Integration](http://www.cidrdb.org/cidr2015/Papers/CIDR15_Paper25u.pdf),” at *7th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2015.
1. Dennis M. Ritchie and Ken Thompson: “[The UNIX Time-Sharing System](http://www.cs.virginia.edu/~zaher/classes/CS656/p365-ritchie.pdf),” *Communications of the ACM*, volume 17, number 7, pages 365375, July 1974. [doi:10.1145/361011.361061](http://dx.doi.org/10.1145/361011.361061)
1. Raul Castro Fernandez, Peter Pietzuch, Jay Kreps, et al.: “[Liquid: Unifying Nearline and Offline Big Data Integration](http://cidrdb.org/cidr2015/Papers/CIDR15_Paper25u.pdf),” at *7th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2015.
1. Dennis M. Ritchie and Ken Thompson: “[The UNIX Time-Sharing System](http://web.eecs.utk.edu/~qcao1/cs560/papers/paper-unix.pdf),” *Communications of the ACM*, volume 17, number 7, pages 365375, July 1974. [doi:10.1145/361011.361061](http://dx.doi.org/10.1145/361011.361061)
1. Eric A. Brewer and Joseph M. Hellerstein: “[CS262a: Advanced Topics in Computer Systems](http://people.eecs.berkeley.edu/~brewer/cs262/systemr.html),” lecture notes, University of California, Berkeley, *cs.berkeley.edu*, August 2011.
1. Michael Stonebraker: “[The Case for Polystores](http://wp.sigmod.org/?p=1629),” *wp.sigmod.org*, July 13, 2015.
1. Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, et al.: “[The BigDAWG Polystore System](http://dspace.mit.edu/openaccess-disseminate/1721.1/100936),” *ACM SIGMOD Record*, volume 44, number 2, pages 1116, June 2015. [doi:10.1145/2814710.2814713](http://dx.doi.org/10.1145/2814710.2814713)
@ -912,14 +912,14 @@ ACID 意义下的一致性(请参阅 “[一致性](ch7.md#一致性)”)基
1. Martin Kleppmann and Jay Kreps: “[Kafka, Samza and the Unix Philosophy of Distributed Data](http://martin.kleppmann.com/papers/kafka-debull15.pdf),” *IEEE Data Engineering Bulletin*, volume 38, number 4, pages 414, December 2015.
1. John Hugg: “[Winning Now and in the Future: Where VoltDB Shines](https://voltdb.com/blog/winning-now-and-future-where-voltdb-shines),” *voltdb.com*, March 23, 2016.
1. Frank McSherry, Derek G. Murray, Rebecca Isaacs, and Michael Isard: “[Differential Dataflow](http://cidrdb.org/cidr2013/Papers/CIDR13_Paper111.pdf),” at *6th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2013.
1. Derek G Murray, Frank McSherry, Rebecca Isaacs, et al.: “[Naiad: A Timely Dataflow System](http://research.microsoft.com/pubs/201100/naiad_sosp2013.pdf),” at *24th ACM Symposium on Operating Systems Principles* (SOSP), pages 439455, November 2013. [doi:10.1145/2517349.2522738](http://dx.doi.org/10.1145/2517349.2522738)
1. Derek G Murray, Frank McSherry, Rebecca Isaacs, et al.: “[Naiad: A Timely Dataflow System](http://sigops.org/s/conferences/sosp/2013/papers/p439-murray.pdf),” at *24th ACM Symposium on Operating Systems Principles* (SOSP), pages 439455, November 2013. [doi:10.1145/2517349.2522738](http://dx.doi.org/10.1145/2517349.2522738)
1. Gwen Shapira: “[We have a bunch of customers who are implementing database inside-out concept and they all ask is anyone else doing it? are we crazy?](https://twitter.com/gwenshap/status/758800071110430720)” *twitter.com*, July 28, 2016.
1. Martin Kleppmann: “[Turning the Database Inside-out with Apache Samza,](http://martin.kleppmann.com/2015/03/04/turning-the-database-inside-out.html)” at *Strange Loop*, September 2014.
1. Peter Van Roy and Seif Haridi: [*Concepts, Techniques, and Models of Computer Programming*](http://www.epsa.org/forms/uploadFiles/3B6300000000.filename.booksingle.pdf). MIT Press, 2004. ISBN: 978-0-262-22069-9
1. Peter Van Roy and Seif Haridi: [*Concepts, Techniques, and Models of Computer Programming*](https://www.info.ucl.ac.be/~pvr/book.html). MIT Press, 2004. ISBN: 978-0-262-22069-9
1. “[Juttle Documentation](http://juttle.github.io/juttle/),” *juttle.github.io*, 2016.
1. Evan Czaplicki and Stephen Chong: “[Asynchronous Functional Reactive Programming for GUIs](http://people.seas.harvard.edu/~chong/pubs/pldi13-elm.pdf),” at *34th ACM SIGPLAN Conference on Programming Language Design and Implementation* (PLDI), June 2013. [doi:10.1145/2491956.2462161](http://dx.doi.org/10.1145/2491956.2462161)
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1. Peter Alvaro, Neil Conway, Joseph M. Hellerstein, and William R. Marczak: “[Consistency Analysis in Bloom: A CALM and Collected Approach](http://www.eecs.berkeley.edu/~palvaro/cidr11.pdf),” at *5th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2011.
1. Peter Alvaro, Neil Conway, Joseph M. Hellerstein, and William R. Marczak: “[Consistency Analysis in Bloom: A CALM and Collected Approach](https://dsf.berkeley.edu/cs286/papers/calm-cidr2011.pdf),” at *5th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2011.
1. Felienne Hermans: “[Spreadsheets Are Code](https://vimeo.com/145492419),” at *Code Mesh*, November 2015.
1. Dan Bricklin and Bob Frankston: “[VisiCalc: Information from Its Creators](http://danbricklin.com/visicalc.htm),” *danbricklin.com*.
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@ -948,7 +948,7 @@ ACID 意义下的一致性(请参阅 “[一致性](ch7.md#一致性)”)基
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@ -166,8 +166,8 @@ In the next chapter, we will turn to stream processing, in which the input is *u
1. Aapo Kyrola, Guy Blelloch, and Carlos Guestrin: “[GraphChi: Large-Scale Graph Computation on Just a PC](https://www.usenix.org/system/files/conference/osdi12/osdi12-final-126.pdf),” at *10th USENIX Symposium on Operating Systems Design and Implementation* (OSDI), October 2012.
1. Andrew Lenharth, Donald Nguyen, and Keshav Pingali: “[Parallel Graph Analytics](http://cacm.acm.org/magazines/2016/5/201591-parallel-graph-analytics/fulltext),” *Communications of the ACM*, volume 59, number 5, pages 7887, May [doi:10.1145/2901919](http://dx.doi.org/10.1145/2901919)
1. Fabian Hüske: “[Peeking into Apache Flink's Engine Room](http://flink.apache.org/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html),” *flink.apache.org*, March 13, 2015.
1. Mostafa Mokhtar: “[Hive 0.14 Cost Based Optimizer (CBO) Technical Overview](http://hortonworks.com/blog/hive-0-14-cost-based-optimizer-cbo-technical-overview/),” *hortonworks.com*, March 2, 2015.
1. Mostafa Mokhtar: “[Hive 0.14 Cost Based Optimizer (CBO) Technical Overview](https://web.archive.org/web/20170607112708/http://hortonworks.com/blog/hive-0-14-cost-based-optimizer-cbo-technical-overview/),” *hortonworks.com*, March 2, 2015.
1. Michael Armbrust, Reynold S Xin, Cheng Lian, et al.: “[Spark SQL: Relational Data Processing in Spark](http://people.csail.mit.edu/matei/papers/2015/sigmod_spark_sql.pdf),” at *ACM International Conference on Management of Data* (SIGMOD), June 2015. [doi:10.1145/2723372.2742797](http://dx.doi.org/10.1145/2723372.2742797)
1. Daniel Blazevski: “[Planting Quadtrees for Apache Flink](http://insightdataengineering.com/blog/flink-knn/),” *insightdataengineering.com*, March 25, 2016.
1. Tom White: “[Genome Analysis Toolkit: Now Using Apache Spark for Data Processing](http://blog.cloudera.com/blog/2016/04/genome-analysis-toolkit-now-using-apache-spark-for-data-processing/),” *blog.cloudera.com*, April 6, 2016.
1. Tom White: “[Genome Analysis Toolkit: Now Using Apache Spark for Data Processing](https://web.archive.org/web/20190215132904/http://blog.cloudera.com/blog/2016/04/genome-analysis-toolkit-now-using-apache-spark-for-data-processing/),” *blog.cloudera.com*, April 6, 2016.

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@ -80,9 +80,9 @@ Finally, we discussed techniques for achieving fault tolerance and exactly-once
1. Seth Lowenberger: “[MoldUDP64 Protocol Specification V 1.00](http://www.nasdaqtrader.com/content/technicalsupport/specifications/dataproducts/moldudp64.pdf),” *nasdaqtrader.com*, July 2009.
1. Pieter Hintjens: [*ZeroMQ The Guide*](http://zguide.zeromq.org/page:all). O'Reilly Media, 2013. ISBN: 978-1-449-33404-8
1. Ian Malpass: “[Measure Anything, Measure Everything](https://codeascraft.com/2011/02/15/measure-anything-measure-everything/),” *codeascraft.com*, February 15, 2011.
1. Dieter Plaetinck: “[25 Graphite, Grafana and statsd Gotchas](https://blog.raintank.io/25-graphite-grafana-and-statsd-gotchas/),” *blog.raintank.io*, March 3, 2016.
1. Dieter Plaetinck: “[25 Graphite, Grafana and statsd Gotchas](https://grafana.com/blog/2016/03/03/25-graphite-grafana-and-statsd-gotchas/),” *grafana.com*, March 3, 2016.
1. Jeff Lindsay: “[Web Hooks to Revolutionize the Web](https://web.archive.org/web/20180928201955/http://progrium.com/blog/2007/05/03/web-hooks-to-revolutionize-the-web/),” *progrium.com*, May 3, 2007.
1. Jim N. Gray: “[Queues Are Databases](http://research.microsoft.com/pubs/69641/tr-95-56.pdf),” Microsoft Research Technical Report MSR-TR-95-56, December 1995.
1. Jim N. Gray: “[Queues Are Databases](https://arxiv.org/pdf/cs/0701158.pdf),” Microsoft Research Technical Report MSR-TR-95-56, December 1995.
1. Mark Hapner, Rich Burridge, Rahul Sharma, et al.: “[JSR-343 Java Message Service (JMS) 2.0 Specification](https://jcp.org/en/jsr/detail?id=343),” *jms-spec.java.net*, March 2013.
1. Sanjay Aiyagari, Matthew Arrott, Mark Atwell, et al.: “[AMQP: Advanced Message Queuing Protocol Specification](http://www.rabbitmq.com/resources/specs/amqp0-9-1.pdf),” Version 0-9-1, November 2008.
1. “[Google Cloud Pub/Sub: A Google-Scale Messaging Service](https://cloud.google.com/pubsub/architecture),” *cloud.google.com*, 2016.
@ -90,7 +90,7 @@ Finally, we discussed techniques for achieving fault tolerance and exactly-once
1. Jay Kreps, Neha Narkhede, and Jun Rao: “[Kafka: A Distributed Messaging System for Log Processing](http://www.longyu23.com/doc/Kafka.pdf),” at *6th International Workshop on Networking Meets Databases* (NetDB), June 2011.
1. “[Amazon Kinesis Streams Developer Guide](http://docs.aws.amazon.com/streams/latest/dev/introduction.html),” *docs.aws.amazon.com*, April 2016.
1. Leigh Stewart and Sijie Guo: “[Building DistributedLog: Twitters High-Performance Replicated Log Service](https://blog.twitter.com/2015/building-distributedlog-twitter-s-high-performance-replicated-log-service),” *blog.twitter.com*, September 16, 2015.
1. “[DistributedLog Documentation](http://distributedlog.incubator.apache.org/docs/latest/),” Twitter, Inc., *distributedlog.io*, May 2016.
1. “[DistributedLog Documentation](https://bookkeeper.apache.org/distributedlog/docs/latest/),” Apache Software Foundation, *distributedlog.io*.
1. Jay Kreps: “[Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machines)](https://engineering.linkedin.com/kafka/benchmarking-apache-kafka-2-million-writes-second-three-cheap-machines),” *engineering.linkedin.com*, April 27, 2014.
1. Kartik Paramasivam: “[How Were Improving and Advancing Kafka at LinkedIn](https://engineering.linkedin.com/apache-kafka/how-we_re-improving-and-advancing-kafka-linkedin),” *engineering.linkedin.com*, September 2, 2015.
1. Jay Kreps: “[The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction](http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying),” *engineering.linkedin.com*, December 16, 2013.
@ -98,7 +98,7 @@ Finally, we discussed techniques for achieving fault tolerance and exactly-once
1. Yogeshwer Sharma, Philippe Ajoux, Petchean Ang, et al.: “[Wormhole: Reliable Pub-Sub to Support Geo-Replicated Internet Services](https://www.usenix.org/system/files/conference/nsdi15/nsdi15-paper-sharma.pdf),” at *12th USENIX Symposium on Networked Systems Design and Implementation* (NSDI), May 2015.
1. P. P. S. Narayan: “[Sherpa Update](http://web.archive.org/web/20160801221400/https://developer.yahoo.com/blogs/ydn/sherpa-7992.html),” *developer.yahoo.com*, June 8, .
1. Martin Kleppmann: “[Bottled Water: Real-Time Integration of PostgreSQL and Kafka](http://martin.kleppmann.com/2015/04/23/bottled-water-real-time-postgresql-kafka.html),” *martin.kleppmann.com*, April 23, 2015.
1. Ben Osheroff: “[Introducing Maxwell, a mysql-to-kafka Binlog Processor](https://developer.zendesk.com/blog/introducing-maxwell-a-mysql-to-kafka-binlog-processor),” *developer.zendesk.com*, August 20, 2015.
1. Ben Osheroff: “[Introducing Maxwell, a mysql-to-kafka Binlog Processor](https://web.archive.org/web/20170208100334/https://developer.zendesk.com/blog/introducing-maxwell-a-mysql-to-kafka-binlog-processor),” *developer.zendesk.com*, August 20, 2015.
1. Randall Hauch: “[Debezium 0.2.1 Released](http://debezium.io/blog/2016/06/10/Debezium-0/),” *debezium.io*, June 10, 2016.
1. Prem Santosh Udaya Shankar: “[Streaming MySQL Tables in Real-Time to Kafka](https://engineeringblog.yelp.com/2016/08/streaming-mysql-tables-in-real-time-to-kafka.html),” *engineeringblog.yelp.com*, August 1, 2016.
1. “[Mongoriver](https://github.com/stripe/mongoriver),” Stripe, Inc., *github.com*, September 2014.
@ -113,19 +113,19 @@ Finally, we discussed techniques for achieving fault tolerance and exactly-once
1. Neha Narkhede: “[Announcing Kafka Connect: Building Large-Scale Low-Latency Data Pipelines](http://www.confluent.io/blog/announcing-kafka-connect-building-large-scale-low-latency-data-pipelines),” *confluent.io*, February 18, 2016.
1. Greg Young: “[CQRS and Event Sourcing](https://www.youtube.com/watch?v=JHGkaShoyNs),” at *Code on the Beach*, August 2014.
1. Martin Fowler: “[Event Sourcing](http://martinfowler.com/eaaDev/EventSourcing.html),” *martinfowler.com*, December 12, 2005.
1. Vaughn Vernon: [*Implementing Domain-Driven Design*](https://vaughnvernon.co/?page_id=168). Addison-Wesley Professional, 2013. ISBN: 978-0-321-83457-7
1. H. V. Jagadish, Inderpal Singh Mumick, and Abraham Silberschatz: “[View Maintenance Issues for the Chronicle Data Model](http://www.mathcs.emory.edu/~cheung/papers/StreamDB/Histogram/1995-Jagadish-Histo.pdf),” at *14th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems* (PODS), May 1995. [doi:10.1145/212433.220201](http://dx.doi.org/10.1145/212433.220201)
1. Vaughn Vernon: [*Implementing Domain-Driven Design*](https://www.informit.com/store/implementing-domain-driven-design-9780321834577). Addison-Wesley Professional, 2013. ISBN: 978-0-321-83457-7
1. H. V. Jagadish, Inderpal Singh Mumick, and Abraham Silberschatz: “[View Maintenance Issues for the Chronicle Data Model](https://dl.acm.org/doi/10.1145/212433.220201),” at *14th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems* (PODS), May 1995. [doi:10.1145/212433.220201](http://dx.doi.org/10.1145/212433.220201)
1. “[Event Store 3.5.0 Documentation](http://docs.geteventstore.com/),” Event Store LLP, *docs.geteventstore.com*, February 2016.
1. Martin Kleppmann: [*Making Sense of Stream Processing*](http://www.oreilly.com/data/free/stream-processing.csp). Report, O'Reilly Media, May 2016.
1. Sander Mak: “[Event-Sourced Architectures with Akka](http://www.slideshare.net/SanderMak/eventsourced-architectures-with-akka),” at *JavaOne*, September 2014.
1. Julian Hyde: [personal communication](https://twitter.com/julianhyde/status/743374145006641153), June 2016.
1. Ashish Gupta and Inderpal Singh Mumick: *Materialized Views: Techniques, Implementations, and Applications*. MIT Press, 1999. ISBN: 978-0-262-57122-7
1. Timothy Griffin and Leonid Libkin: “[Incremental Maintenance of Views with Duplicates](http://homepages.inf.ed.ac.uk/libkin/papers/sigmod95.pdf),” at *ACM International Conference on Management of Data* (SIGMOD), May 1995. [doi:10.1145/223784.223849](http://dx.doi.org/10.1145/223784.223849)
1. Pat Helland: “[Immutability Changes Everything](http://www.cidrdb.org/cidr2015/Papers/CIDR15_Paper16.pdf),” at *7th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2015.
1. Pat Helland: “[Immutability Changes Everything](http://cidrdb.org/cidr2015/Papers/CIDR15_Paper16.pdf),” at *7th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2015.
1. Martin Kleppmann: “[Accounting for Computer Scientists](http://martin.kleppmann.com/2011/03/07/accounting-for-computer-scientists.html),” *martin.kleppmann.com*, March 7, 2011.
1. Pat Helland: “[Accountants Don't Use Erasers](https://blogs.msdn.microsoft.com/pathelland/2007/06/14/accountants-dont-use-erasers/),” *blogs.msdn.com*, June 14, 2007.
1. Fangjin Yang: “[Dogfooding with Druid, Samza, and Kafka: Metametrics at Metamarkets](https://metamarkets.com/2015/dogfooding-with-druid-samza-and-kafka-metametrics-at-metamarkets/),” *metamarkets.com*, June 3, 2015.
1. Gavin Li, Jianqiu Lv, and Hang Qi: “[Pistachio: Co-Locate the Data and Compute for Fastest Cloud Compute](http://yahoohadoop.tumblr.com/post/116365275781/pistachio-co-locate-the-data-and-compute-for),” *yahoohadoop.tumblr.com*, April 13, 2015.
1. Gavin Li, Jianqiu Lv, and Hang Qi: “[Pistachio: Co-Locate the Data and Compute for Fastest Cloud Compute](https://web.archive.org/web/20181214032620/https://yahoohadoop.tumblr.com/post/116365275781/pistachio-co-locate-the-data-and-compute-for),” *yahoohadoop.tumblr.com*, April 13, 2015.
1. Kartik Paramasivam: “[Stream Processing Hard Problems Part 1: Killing Lambda](https://engineering.linkedin.com/blog/2016/06/stream-processing-hard-problems-part-1-killing-lambda),” *engineering.linkedin.com*, June 27, 2016.
1. Martin Fowler: “[CQRS](http://martinfowler.com/bliki/CQRS.html),” *martinfowler.com*, July 14, 2011.
1. Greg Young: “[CQRS Documents](https://cqrs.files.wordpress.com/2010/11/cqrs_documents.pdf),” *cqrs.files.wordpress.com*, November 2010.
@ -136,20 +136,20 @@ Finally, we discussed techniques for achieving fault tolerance and exactly-once
1. Jay Kreps: “[The irony of distributed systems is that data loss is really easy but deleting data is surprisingly hard,](https://twitter.com/jaykreps/status/582580836425330688)” *twitter.com*, March 30, 2015.
1. David C. Luckham: “[Whats the Difference Between ESP and CEP?](http://www.complexevents.com/2006/08/01/what%E2%80%99s-the-difference-between-esp-and-cep/),” *complexevents.com*, August 1, 2006.
1. Srinath Perera: “[How Is Stream Processing and Complex Event Processing (CEP) Different?](https://www.quora.com/How-is-stream-processing-and-complex-event-processing-CEP-different),” *quora.com*, December 3, 2015.
1. Arvind Arasu, Shivnath Babu, and Jennifer Widom: “[The CQL Continuous Query Language: Semantic Foundations and Query Execution](http://research.microsoft.com/pubs/77607/cql.pdf),” *The VLDB Journal*, volume 15, number 2, pages 121142, June 2006. [doi:10.1007/s00778-004-0147-z](http://dx.doi.org/10.1007/s00778-004-0147-z)
1. Arvind Arasu, Shivnath Babu, and Jennifer Widom: “[The CQL Continuous Query Language: Semantic Foundations and Query Execution](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/cql.pdf),” *The VLDB Journal*, volume 15, number 2, pages 121142, June 2006. [doi:10.1007/s00778-004-0147-z](http://dx.doi.org/10.1007/s00778-004-0147-z)
1. Julian Hyde: “[Data in Flight: How Streaming SQL Technology Can Help Solve the Web 2.0 Data Crunch](http://queue.acm.org/detail.cfm?id=1667562),” *ACM Queue*, volume 7, number 11, December 2009. [doi:10.1145/1661785.1667562](http://dx.doi.org/10.1145/1661785.1667562)
1. “[Esper Reference, Version 5.4.0](http://www.espertech.com/esper/release-5.4.0/esper-reference/html_single/index.html),” EsperTech, Inc., *espertech.com*, April 2016.
1. “[Esper Reference, Version 5.4.0](http://esper.espertech.com/release-5.4.0/esper-reference/html_single/index.html),” EsperTech, Inc., *espertech.com*, April 2016.
1. Zubair Nabi, Eric Bouillet, Andrew Bainbridge, and Chris Thomas: “[Of Streams and Storms](https://developer.ibm.com/streamsdev/wp-content/uploads/sites/15/2014/04/Streams-and-Storm-April-2014-Final.pdf),” IBM technical report, *developer.ibm.com*, April 2014.
1. Milinda Pathirage, Julian Hyde, Yi Pan, and Beth Plale: “[SamzaSQL: Scalable Fast Data Management with Streaming SQL](https://github.com/milinda/samzasql-hpbdc2016/blob/master/samzasql-hpbdc2016.pdf),” at *IEEE International Workshop on High-Performance Big Data Computing* (HPBDC), May 2016. [doi:10.1109/IPDPSW.2016.141](http://dx.doi.org/10.1109/IPDPSW.2016.141)
1. Philippe Flajolet, Éric Fusy, Olivier Gandouet, and Frédéric Meunier: “[HyperLo⁠g​Log: The Analysis of a Near-Optimal Cardinality Estimation Algorithm](http://algo.inria.fr/flajolet/Publications/FlFuGaMe07.pdf),” at *Conference on Analysis of Algorithms* (AofA), June 2007.
1. Philippe Flajolet, Éric Fusy, Olivier Gandouet, and Frédéric Meunier: “[HyperLogLog: The Analysis of a Near-Optimal Cardinality Estimation Algorithm](http://algo.inria.fr/flajolet/Publications/FlFuGaMe07.pdf),” at *Conference on Analysis of Algorithms* (AofA), June 2007.
1. Jay Kreps: “[Questioning the Lambda Architecture](https://www.oreilly.com/ideas/questioning-the-lambda-architecture),” *oreilly.com*, July 2, 2014.
1. Ian Hellström: “[An Overview of Apache Streaming Technologies](https://databaseline.wordpress.com/2016/03/12/an-overview-of-apache-streaming-technologies/),” *databaseline.wordpress.com*, March 12, 2016.
1. Jay Kreps: “[Why Local State Is a Fundamental Primitive in Stream Processing](https://www.oreilly.com/ideas/why-local-state-is-a-fundamental-primitive-in-stream-processing),” *oreilly.com*, July 31, 2014.
1. Shay Banon: “[Percolator](https://www.elastic.co/blog/percolator),” *elastic.co*, February 8, 2011.
1. Alan Woodward and Martin Kleppmann: “[Real-Time Full-Text Search with Luwak and Samza](http://martin.kleppmann.com/2015/04/13/real-time-full-text-search-luwak-samza.html),” *martin.kleppmann.com*, April 13, 2015.
1. “[Apache Storm 1.0.1 Documentation](https://storm.apache.org/releases/1.0.1/index.html),” *storm.apache.org*, May 2016.
1. “[Apache Storm 2.1.0 Documentation](https://storm.apache.org/releases/2.1.0/index.html),” *storm.apache.org*, October 2019.
1. Tyler Akidau: “[The World Beyond Batch: Streaming 102](https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102),” *oreilly.com*, January 20, 2016.
1. Stephan Ewen: “[Streaming Analytics with Apache Flink](http://www.confluent.io/kafka-summit-2016-systems-advanced-streaming-analytics-with-apache-flink-and-apache-kafka),” at *Kafka Summit*, April 2016.
1. Stephan Ewen: “[Streaming Analytics with Apache Flink](https://www.confluent.io/resources/kafka-summit-2016/advanced-streaming-analytics-apache-flink-apache-kafka/),” at *Kafka Summit*, April 2016.
1. Tyler Akidau, Alex Balikov, Kaya Bekiroğlu, et al.: “[MillWheel: Fault-Tolerant Stream Processing at Internet Scale](http://research.google.com/pubs/pub41378.html),” at *39th International Conference on Very Large Data Bases* (VLDB), August 2013.
1. Alex Dean: “[Improving Snowplow's Understanding of Time](http://snowplowanalytics.com/blog/2015/09/15/improving-snowplows-understanding-of-time/),” *snowplowanalytics.com*, September 15, 2015.
1. “[Windowing (Azure Stream Analytics)](https://msdn.microsoft.com/en-us/library/azure/dn835019.aspx),” Microsoft Azure Reference, *msdn.microsoft.com*, April 2016.
@ -161,7 +161,7 @@ Finally, we discussed techniques for achieving fault tolerance and exactly-once
1. Ralph Kimball and Margy Ross: *The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling*, 3rd edition. John Wiley & Sons, 2013. ISBN: 978-1-118-53080-1
1. Viktor Klang: “[I'm coining the phrase 'effectively-once' for message processing with at-least-once + idempotent operations](https://twitter.com/viktorklang/status/789036133434978304),” *twitter.com*, October 20, 2016.
1. Matei Zaharia, Tathagata Das, Haoyuan Li, et al.: “[Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters](https://www.usenix.org/system/files/conference/hotcloud12/hotcloud12-final28.pdf),” at *4th USENIX Conference in Hot Topics in Cloud Computing* (HotCloud), June 2012.
1. Kostas Tzoumas, Stephan Ewen, and Robert Metzger: “[High-Throughput, Low-Latency, and Exactly-Once Stream Processing with Apache Flink](http://data-artisans.com/high-throughput-low-latency-and-exactly-once-stream-processing-with-apache-flink/),” *data-artisans.com*, August 5, 2015.
1. Kostas Tzoumas, Stephan Ewen, and Robert Metzger: “[High-Throughput, Low-Latency, and Exactly-Once Stream Processing with Apache Flink](https://www.ververica.com/blog/high-throughput-low-latency-and-exactly-once-stream-processing-with-apache-flink),” *ververica.com*, August 5, 2015.
1. Paris Carbone, Gyula Fóra, Stephan Ewen, et al.: “[Lightweight Asynchronous Snapshots for Distributed Dataflows](http://arxiv.org/abs/1506.08603),” arXiv:1506.08603 [cs.DC], June 29, 2015.
1. Ryan Betts and John Hugg: [*Fast Data: Smart and at Scale*](http://www.oreilly.com/data/free/fast-data-smart-and-at-scale.csp). Report, O'Reilly Media, October 2015.
1. Flavio Junqueira: “[Making Sense of Exactly-Once Semantics](http://conferences.oreilly.com/strata/hadoop-big-data-eu/public/schedule/detail/49690),” at *Strata+Hadoop World London*, June 2016.

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@ -46,19 +46,19 @@ As software and data are having such a large impact on the world, we engineers m
1. Rachid Belaid: “[Postgres Full-Text Search is Good Enough!](http://rachbelaid.com/postgres-full-text-search-is-good-enough/),” *rachbelaid.com*, July 13, 2015.
1. Philippe Ajoux, Nathan Bronson, Sanjeev Kumar, et al.: “[Challenges to Adopting Stronger Consistency at Scale](https://www.usenix.org/system/files/conference/hotos15/hotos15-paper-ajoux.pdf),” at *15th USENIX Workshop on Hot Topics in Operating Systems* (HotOS), May 2015.
1. Pat Helland and Dave Campbell: “[Building on Quicksand](https://database.cs.wisc.edu/cidr/cidr2009/Paper_133.pdf),” at *4th Biennial Conference on Innovative Data Systems Research* (CIDR), January 2009.
1. Jessica Kerr: “[Provenance and Causality in Distributed Systems](http://blog.jessitron.com/2016/09/provenance-and-causality-in-distributed.html),” *blog.jessitron.com*, September 25, 2016.
1. Jessica Kerr: “[Provenance and Causality in Distributed Systems](https://web.archive.org/web/20190425150540/http://blog.jessitron.com/2016/09/provenance-and-causality-in-distributed.html),” *blog.jessitron.com*, September 25, 2016.
1. Kostas Tzoumas: “[Batch Is a Special Case of Streaming](http://data-artisans.com/batch-is-a-special-case-of-streaming/),” *data-artisans.com*, September 15, 2015.
1. Shinji Kim and Robert Blafford: “[Stream Windowing Performance Analysis: Concord and Spark Streaming](http://concord.io/posts/windowing_performance_analysis_w_spark_streaming),” *concord.io*, July 6, 2016.
1. Shinji Kim and Robert Blafford: “[Stream Windowing Performance Analysis: Concord and Spark Streaming](https://web.archive.org/web/20180125074821/http://concord.io/posts/windowing_performance_analysis_w_spark_streaming),” *concord.io*, July 6, 2016.
1. Jay Kreps: “[The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction](http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying),” *engineering.linkedin.com*, December 16, 2013.
1. Pat Helland: “[Life Beyond Distributed Transactions: An Apostates Opinion](http://www-db.cs.wisc.edu/cidr/cidr2007/papers/cidr07p15.pdf),” at *3rd Biennial Conference on Innovative Data Systems Research* (CIDR), January 2007.
1. “[Great Western Railway (18351948)](https://www.networkrail.co.uk/VirtualArchive/great-western/),” Network Rail Virtual Archive, *networkrail.co.uk*.
1. “[Great Western Railway (18351948)](https://web.archive.org/web/20160122155425/https://www.networkrail.co.uk/VirtualArchive/great-western/),” Network Rail Virtual Archive, *networkrail.co.uk*.
1. Jacqueline Xu: “[Online Migrations at Scale](https://stripe.com/blog/online-migrations),” *stripe.com*, February 2, 2017.
1. Molly Bartlett Dishman and Martin Fowler: “[Agile Architecture](http://conferences.oreilly.com/software-architecture/sa2015/public/schedule/detail/40388),” at *O'Reilly Software Architecture Conference*, March 2015.
1. Nathan Marz and James Warren: [*Big Data: Principles and Best Practices of Scalable Real-Time Data Systems*](https://www.manning.com/books/big-data). Manning, 2015. ISBN: 978-1-617-29034-3
1. Oscar Boykin, Sam Ritchie, Ian O'Connell, and Jimmy Lin: “[Summingbird: A Framework for Integrating Batch and Online MapReduce Computations](http://www.vldb.org/pvldb/vol7/p1441-boykin.pdf),” at *40th International Conference on Very Large Data Bases* (VLDB), September 2014.
1. Jay Kreps: “[Questioning the Lambda Architecture](https://www.oreilly.com/ideas/questioning-the-lambda-architecture),” *oreilly.com*, July 2, 2014.
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@ -724,16 +724,16 @@ Spark、Flink 和 Tez 避免將中間狀態寫入 HDFS因此它們採取了
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@ -789,7 +789,7 @@ Spark、Flink 和 Tez 避免將中間狀態寫入 HDFS因此它們採取了
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@ -731,9 +731,9 @@ Storm 的 Trident 基於類似的想法來處理狀態【78】。依賴冪等性
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@ -741,7 +741,7 @@ Storm 的 Trident 基於類似的想法來處理狀態【78】。依賴冪等性
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@ -749,7 +749,7 @@ Storm 的 Trident 基於類似的想法來處理狀態【78】。依賴冪等性
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@ -764,19 +764,19 @@ Storm 的 Trident 基於類似的想法來處理狀態【78】。依賴冪等性
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@ -787,20 +787,20 @@ Storm 的 Trident 基於類似的想法來處理狀態【78】。依賴冪等性
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@ -812,7 +812,7 @@ Storm 的 Trident 基於類似的想法來處理狀態【78】。依賴冪等性
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@ -891,19 +891,19 @@ ACID 意義下的一致性(請參閱 “[一致性](ch7.md#一致性)”)基
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@ -912,14 +912,14 @@ ACID 意義下的一致性(請參閱 “[一致性](ch7.md#一致性)”)基
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