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A River of Bytes

A River of Bytes. Sunday, October 23, 2016. Developing Utility Bolts for Apache Storm. Storm provides various pre-defined components, most of them spouts, providing standard data sources for streaming data from database systems, file systems, queueing systems and network listeners such as a web server, and so on. Similarly it provides pre-defined bolts, some serving as data sinks along the same lines, as well as interfaces to the usual logging frameworks. Project on GitHub, which includes a small number ...

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A River of Bytes | river-of-bytes.com Reviews

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A River of Bytes. Sunday, October 23, 2016. Developing Utility Bolts for Apache Storm. Storm provides various pre-defined components, most of them spouts, providing standard data sources for streaming data from database systems, file systems, queueing systems and network listeners such as a web server, and so on. Similarly it provides pre-defined bolts, some serving as data sinks along the same lines, as well as interfaces to the usual logging frameworks. Project on GitHub, which includes a small number ...

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1 apache storm

2 audience

3 open source project

4 design goals

5 ease of use

6 appropriate generality

7 robustness

8 ease of diagnosis

9 performance and scalability

10 implementation guidelines

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apache storm,audience,open source project,design goals,ease of use,appropriate generality,robustness,ease of diagnosis,performance and scalability,implementation guidelines,distinguishing between inputs,concurrency,error handling,logging,in practice,java

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A River of Bytes | river-of-bytes.com Reviews

https://river-of-bytes.com

A River of Bytes. Sunday, October 23, 2016. Developing Utility Bolts for Apache Storm. Storm provides various pre-defined components, most of them spouts, providing standard data sources for streaming data from database systems, file systems, queueing systems and network listeners such as a web server, and so on. Similarly it provides pre-defined bolts, some serving as data sinks along the same lines, as well as interfaces to the usual logging frameworks. Project on GitHub, which includes a small number ...

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river-of-bytes.com

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A River of Bytes: Taking a Detour with Apache Spark

http://www.river-of-bytes.com/2016/08/taking-detour-with-apache-spark.html

A River of Bytes. Sunday, August 28, 2016. Taking a Detour with Apache Spark. Almost two years ago, while preparing for a talk I was giving at the now defunct Seattle Eastside Scala Meetup, I started a public GitHub project. But lately I've had to ask myself some hard questions about the project. As I hope to post separately about soon, the evolution of Spark SQL's object model (remember SchemaRDD? Time to explore the Java APIs. Has it at 76% Scala, 58% Java 8 and 34% Java 7 or lower. Clearly, there ...

2

A River of Bytes: NSMC: A Native MongoDB Connector for Apache Spark

http://www.river-of-bytes.com/2015/01/nsmc-native-mongodb-connector-for.html

A River of Bytes. Sunday, January 25, 2015. NSMC: A Native MongoDB Connector for Apache Spark. Both core Spark and Spark SQL provide ways to neatly plug in external database engines as a source of data. In this post I'm going to describe an experimental MongoDB. MongoDB makes an interesting case study as an external Spark data source for a number of reasons:. The data model, based on collections of JSON-like documents, is both deeply ad-hoc (. NSMC is hosted on GitHub. In Spark SQL Integration for MongoDB.

3

A River of Bytes: January 2015

http://www.river-of-bytes.com/2015_01_01_archive.html

A River of Bytes. Sunday, January 25, 2015. NSMC: A Native MongoDB Connector for Apache Spark. Both core Spark and Spark SQL provide ways to neatly plug in external database engines as a source of data. In this post I'm going to describe an experimental MongoDB. MongoDB makes an interesting case study as an external Spark data source for a number of reasons:. The data model, based on collections of JSON-like documents, is both deeply ad-hoc (. NSMC is hosted on GitHub. In Spark SQL Integration for MongoDB.

4

A River of Bytes: December 2014

http://www.river-of-bytes.com/2014_12_01_archive.html

A River of Bytes. Sunday, December 28, 2014. Filtering and Projection in Spark SQL External Data Sources. In the previous post. As with other posts in this series, I'm assuming familiarity with Scala, and the code for the examples can be found at https:/ github.com/spirom/LearningSpark. In this case sql/RelationProviderFilterPushdown.scala. As we discussed last time, the external data source API is located in the org.apache.spark.sql. Which also supports filter pushdown. External Data Source Adapter:.

5

A River of Bytes: Filtering and Projection in Spark SQL External Data Sources

http://www.river-of-bytes.com/2014/12/filtering-and-projection-in-spark-sql.html

A River of Bytes. Sunday, December 28, 2014. Filtering and Projection in Spark SQL External Data Sources. In the previous post. As with other posts in this series, I'm assuming familiarity with Scala, and the code for the examples can be found at https:/ github.com/spirom/LearningSpark. In this case sql/RelationProviderFilterPushdown.scala. As we discussed last time, the external data source API is located in the org.apache.spark.sql. Which also supports filter pushdown. External Data Source Adapter:.

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Spiro - Spiro & Jo Michaylov

http://www.michaylov.com/home/spiro

Spiro and Jo Michaylov. I'm a development manager in the Data Platform organization at. You can find my professional profile at LinkedIn. I blog about programming and big data at A River of Bytes. And ask and answer questions at StackOverflow. The opinions I express in all of those places are strictly my own. I share some of the results of my recreational programming on GitHub. Where the bugs are also.

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A River of Bytes

A River of Bytes. Sunday, October 23, 2016. Developing Utility Bolts for Apache Storm. Storm provides various pre-defined components, most of them spouts, providing standard data sources for streaming data from database systems, file systems, queueing systems and network listeners such as a web server, and so on. Similarly it provides pre-defined bolts, some serving as data sinks along the same lines, as well as interfaces to the usual logging frameworks. Project on GitHub, which includes a small number ...

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