Storm Blueprints :: Patterns for Distributed Real-time Computation.
A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications. Although the book focuses primarily on Java development with Storm, the patterns are mor...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2014.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications. Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and the tips, techniques, and approaches described in the book apply to architects, developers, and operations. Additionally, the book should provoke and inspire applications of distributed computing to other industries and domains. Hadoop enthusiasts will also find this book a go. |
| Beschreibung: | Sending notifications with XMPP. |
| Beschreibung: | 1 online resource (336 pages) |
| ISBN: | 9781782168300 1782168303 |
Internformat
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| 245 | 1 | 0 | |a Storm Blueprints : |b Patterns for Distributed Real-time Computation. |
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| 505 | 0 | |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology -- streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt. | |
| 505 | 8 | |a Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI. | |
| 505 | 8 | |a Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster. | |
| 505 | 8 | |a Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations -- filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators -- Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state. | |
| 505 | 8 | |a The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds. | |
| 500 | |a Sending notifications with XMPP. | ||
| 520 | |a A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications. Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and the tips, techniques, and approaches described in the book apply to architects, developers, and operations. Additionally, the book should provoke and inspire applications of distributed computing to other industries and domains. Hadoop enthusiasts will also find this book a go. | ||
| 650 | 0 | |a Data structures (Computer science) |0 http://id.loc.gov/authorities/subjects/sh85035862 | |
| 650 | 0 | |a Real-time data processing. |0 http://id.loc.gov/authorities/subjects/sh85111765 | |
| 650 | 6 | |a Structures de données (Informatique) | |
| 650 | 6 | |a Temps réel (Informatique) | |
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| 776 | 0 | 8 | |i Print version: |a Goetz, P. Taylor. |t Storm Blueprints : Patterns for Distributed Real-time Computation. |d Birmingham : Packt Publishing, ©2014 |z 9781782168294 |
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| contents | Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology -- streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt. Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI. Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster. Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations -- filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators -- Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state. The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds. |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn875819498 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:25:53Z |
| institution | BVB |
| isbn | 9781782168300 1782168303 |
| language | English |
| oclc_num | 875819498 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (336 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Publishing, |
| record_format | marc |
| spelling | Goetz, P. Taylor. Storm Blueprints : Patterns for Distributed Real-time Computation. Birmingham : Packt Publishing, 2014. 1 online resource (336 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rda Print version record. Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology -- streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt. Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI. Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster. Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations -- filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators -- Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state. The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds. Sending notifications with XMPP. A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications. Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and the tips, techniques, and approaches described in the book apply to architects, developers, and operations. Additionally, the book should provoke and inspire applications of distributed computing to other industries and domains. Hadoop enthusiasts will also find this book a go. Data structures (Computer science) http://id.loc.gov/authorities/subjects/sh85035862 Real-time data processing. http://id.loc.gov/authorities/subjects/sh85111765 Structures de données (Informatique) Temps réel (Informatique) COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Data structures (Computer science) fast Real-time data processing fast O'Neill, Brian. has work: Storm Blueprints: Patterns for Distributed Real-Time Computation (Text) https://id.oclc.org/worldcat/entity/E39PCXY6hchQ9Tqwd8xH3CTdV3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Goetz, P. Taylor. Storm Blueprints : Patterns for Distributed Real-time Computation. Birmingham : Packt Publishing, ©2014 9781782168294 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=748829 Volltext |
| spellingShingle | Goetz, P. Taylor Storm Blueprints : Patterns for Distributed Real-time Computation. Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology -- streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt. Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI. Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster. Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations -- filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators -- Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state. The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds. Data structures (Computer science) http://id.loc.gov/authorities/subjects/sh85035862 Real-time data processing. http://id.loc.gov/authorities/subjects/sh85111765 Structures de données (Informatique) Temps réel (Informatique) COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Data structures (Computer science) fast Real-time data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85035862 http://id.loc.gov/authorities/subjects/sh85111765 |
| title | Storm Blueprints : Patterns for Distributed Real-time Computation. |
| title_auth | Storm Blueprints : Patterns for Distributed Real-time Computation. |
| title_exact_search | Storm Blueprints : Patterns for Distributed Real-time Computation. |
| title_full | Storm Blueprints : Patterns for Distributed Real-time Computation. |
| title_fullStr | Storm Blueprints : Patterns for Distributed Real-time Computation. |
| title_full_unstemmed | Storm Blueprints : Patterns for Distributed Real-time Computation. |
| title_short | Storm Blueprints : |
| title_sort | storm blueprints patterns for distributed real time computation |
| title_sub | Patterns for Distributed Real-time Computation. |
| topic | Data structures (Computer science) http://id.loc.gov/authorities/subjects/sh85035862 Real-time data processing. http://id.loc.gov/authorities/subjects/sh85111765 Structures de données (Informatique) Temps réel (Informatique) COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Data structures (Computer science) fast Real-time data processing fast |
| topic_facet | Data structures (Computer science) Real-time data processing. Structures de données (Informatique) Temps réel (Informatique) COMPUTERS Computer Literacy. COMPUTERS Computer Science. COMPUTERS Data Processing. COMPUTERS Hardware General. COMPUTERS Information Technology. COMPUTERS Machine Theory. COMPUTERS Reference. Real-time data processing |
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