Apache Spark

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Spark在广告领域有很多的成功应用。
 
Spark在广告领域有很多的成功应用。
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==版本==
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*2.3
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*[https://github.com/apache/spark/tree/branch-2.2 2.2]
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*[https://github.com/apache/spark/tree/branch-2.1 2.1]
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*[https://github.com/apache/spark/tree/branch-2.0 2.0]
  
 
==Apache Hive==
 
==Apache Hive==
 
[[Hive on Spark]]
 
[[Hive on Spark]]
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==Spark on HBase==
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[http://spark-packages.org/package/Huawei-Spark/Spark-SQL-on-HBase Spark SQL on HBase]: Spark SQL/DataFrame access to NoSQL data in [[Apache HBase]]
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==Spark on YARN==
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通过Spark on YARN的方式与[[Apache Hadoop]]方便地共享集群的存储功能和计算资源。
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==[[Apache Cassandra|Cassandra]]==
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*[http://www.datastax.com/dev/blog/zen-art-spark-maintenance Zen and the Art of Spark Maintenance]
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*[https://github.com/datastax/spark-cassandra-connector DataStax Spark Cassandra Connector]
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*[https://tobert.github.io/post/2014-07-15-installing-cassandra-spark-stack.html Installing the Cassandra / Spark OSS Stack]
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==[[elasticsearch]]==
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*[https://www.elastic.co/guide/en/elasticsearch/hadoop/master/spark.html ElasticSearch Spark Integration]
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==REST API==
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Spark 1.4引入REST API
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http://localhost:4040/api/v1/applications
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==机器学习==
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*[http://mlbase.org/ MLbase]
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*[[Apache Mahout]]使用Spark作为后端
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*[https://github.com/ariskk/distributedWekaSpark Weka on Spark]
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*[https://github.com/amplab/keystone KeystoneML]
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*[[SparkNet]]
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*[https://github.com/gingsmith/cocoa CoCoA]
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*[https://github.com/zhangyuc/splash Splash Project for parallel stochastic learning]
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*[[Deeplearning4j]]
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*[[H2O]] Spark
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*[https://github.com/yahoo/TensorFlowOnSpark TensorFlowOnSpark]
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*Yahoo [https://github.com/yahoo/CaffeOnSpark CaffeOnSpark]
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*[https://arimo.com/machine-learning/deep-learning/2016/arimo-distributed-tensorflow-on-spark/ Arimo Tensorflow On Spark]
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==项目==
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[https://cwiki.apache.org/confluence/display/SPARK/Supplemental+Spark+Projects Spark的相关项目和生态系统: Supplemental Spark Projects]
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*[https://github.com/spark-jobserver/spark-jobserver spark-jobserver]
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*[https://github.com/amplab-extras/SparkR-pkg SparkR]
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*[[Apache Mesos]]
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*[[Alluxio]]
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*[https://github.com/tuplejump/FiloDB FiloDB]
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*[[Apache Zeppelin]], [https://github.com/andypetrella/spark-notebook/ Spark Notebook]
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*[https://github.com/SnappyDataInc/snappydata SnappyData: OLTP + OLAP Database built on Apache Spark]
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*[http://blinkdb.org/ BlinkDB]
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*[https://github.com/adobe-research/spindle Spindle]
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*[http://simin.me/projects/spatialspark/ SpatialSpark]
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*[https://toree.apache.org Apache Toree]
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*[[Apache SystemML]]
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*[[Oryx]]
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*[https://github.com/SnappyDataInc/snappydata SnappyData] OLTP + OLAP Database built on Apache Spark [http://docs.huihoo.com/apache/spark/summit/2016/efficient-state-management-with-spark-20-and-scale-out-databases.pdf Efficient State Management With Spark 2.0 And Scale-Out Databases]
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*[http://livy.io/ Livy] an Open Source REST Service for Spark
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==服务商==
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*[http://databricks.com/ Spark背后的商业公司:Databricks],同时提供Spark服务提供商Certified Spark Distribution官方认证。
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*[http://www.stratio.com Stratio Platform]: The first "pure Spark" platform with 50% fewer components and operational complexity.
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*IBM的思路是将Spark视为数据分析的操作系统。
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==用户==
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*[https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark Powered By Spark]
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*[https://zhuanlan.zhihu.com/p/27538270 60 TB 数据:Facebook 是如何大规模使用 Apache Spark 的]
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==课程==
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*[http://docs.huihoo.com/big-data/introduction-to-big-data-with-apache-spark/ Introduction to Big Data with Apache Spark]
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*[http://docs.huihoo.com/machine-learning/scalable-machine-learning/ Scalable Machine Learning]
  
 
==文档==
 
==文档==
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*[http://docs.huihoo.com/apache/spark/Matrix-Computations-and-Neural-Networks-in-Spark.pdf Spark上的矩阵计算和神经网络]
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*[http://docs.huihoo.com/apache/apachecon/us2015/Hive-Now-Sparks.pdf Hive Now Sparks]
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*[http://docs.huihoo.com/apache/apachecon/us2015/Going-Deep-with-Spark-Streaming.pdf Going Deep with Spark Streaming]
 
*[http://docs.huihoo.com/apache/apachecon/us2015/Significantly-speedup-real-world-big-data-applications-using-Apache-Spark.pdf Significantly Speed up real world big data Applications using Apache Spark]
 
*[http://docs.huihoo.com/apache/apachecon/us2015/Significantly-speedup-real-world-big-data-applications-using-Apache-Spark.pdf Significantly Speed up real world big data Applications using Apache Spark]
 
*[http://docs.huihoo.com/apache/spark/summit/east2015/SSE15-39-Finding-Shoe-Stores-in-more-than-100k-Merchants-Using-Apache-Spark-to-group-all-things.pdf Finding Shoe Stores in >100k Merchants: Using Spark to Group All Things]
 
*[http://docs.huihoo.com/apache/spark/summit/east2015/SSE15-39-Finding-Shoe-Stores-in-more-than-100k-Merchants-Using-Apache-Spark-to-group-all-things.pdf Finding Shoe Stores in >100k Merchants: Using Spark to Group All Things]
 
*[http://docs.huihoo.com/apache/spark/summit/east2015/SSE15-11-Delivering-Meaning-At-High-Velocity-with-Spark-Streaming-Cassandra-Kafka-and-Akka.pdf Delivering Meaning In NearReal Time At High Velocity & Massive Scale]
 
*[http://docs.huihoo.com/apache/spark/summit/east2015/SSE15-11-Delivering-Meaning-At-High-Velocity-with-Spark-Streaming-Cassandra-Kafka-and-Akka.pdf Delivering Meaning In NearReal Time At High Velocity & Massive Scale]
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*[http://docs.huihoo.com/apache/apachecon/us2015/Streaming-OODT-Combining-Apache-Spark-Power-with-Apache-OODT.pdf Streaming OODT: Combining Apache Spark's Power with Apache OODT]
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*[http://docs.huihoo.com/infoq/qconshanghai/2015/%e5%9f%ba%e4%ba%8e%e5%a4%a7%e6%95%b0%e6%8d%ae%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e6%8a%80%e6%9c%af/QCon%e4%b8%8a%e6%b5%b72015-%e5%9f%ba%e4%ba%8e%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%9a%84%e9%93%b6%e8%a1%8c%e5%8d%a1%e6%b6%88%e8%b4%b9%e6%95%b0%e6%8d%ae%e9%a2%84%e6%b5%8b%e4%b8%8e%e6%8e%a8%e8%8d%90-%e6%a2%81%e5%a0%b0%e6%b3%a2.pdf Machine learning in finance using Spark ML pipeline]
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*[http://docs.huihoo.com/infoq/qconshanghai/2015/%e5%9f%ba%e4%ba%8e%e5%a4%a7%e6%95%b0%e6%8d%ae%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e6%8a%80%e6%9c%af/QCon%e4%b8%8a%e6%b5%b72015-%e5%9c%a8Spark%e4%b8%8a%e6%9e%84%e5%bb%ba%e7%a1%ac%e4%bb%b6%e5%8a%a0%e9%80%9f%e7%9a%84%e5%88%86%e5%b8%83%e5%bc%8f%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e6%9e%b6%e6%9e%84-%e7%8e%8b%e5%a5%95%e6%81%92%e3%80%81%e9%bb%84%e6%99%9f%e7%9b%9b.pdf 在Spark上构建分布式神经网络]
  
 
==图集==
 
==图集==
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image:spark-streaming-architecture.png|Streaming
 
image:spark-streaming-architecture.png|Streaming
 
image:Spark-Streaming-Cassandra-Kafka-and-Akka.png|堆栈
 
image:Spark-Streaming-Cassandra-Kafka-and-Akka.png|堆栈
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image:Spark-and-Map-Reduce-Differences.png|Spark和MapReduce
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image:apache-spark-cluster.png|Spark集群
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image:Berkeley-Data-Analytics-Stack.png|伯克利数据分析堆栈BDAS
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image:baidu-spark-one.png|百度Spark One
 
</gallery>
 
</gallery>
  
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*[https://amplab.cs.berkeley.edu/ Spark发源地:AMPLab]
 
*[https://amplab.cs.berkeley.edu/ Spark发源地:AMPLab]
 
*[http://docs.huihoo.com/big-data/ampcamp/ UC Berkeley Big Data AMP Camp 大会资料]
 
*[http://docs.huihoo.com/big-data/ampcamp/ UC Berkeley Big Data AMP Camp 大会资料]
*[http://databricks.com/ Spark背后的商业公司:Databricks],同时提供Spark服务提供商Certified Spark Distribution官方认证。
 
 
*[http://docs.huihoo.com/apache/spark Spark开放文档]
 
*[http://docs.huihoo.com/apache/spark Spark开放文档]
 
*[http://spark-summit.org/ Spark Summit]
 
*[http://spark-summit.org/ Spark Summit]
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*[http://spark-packages.org/ Spark Packages]
 
*[http://mp.weixin.qq.com/s?__biz=MzA3MDQ4MzQzMg==&mid=205137135&idx=1&sn=24de5f0a11d8a4f3bb40854717c1fa42&scene=4&uin=MTEyNDM1NzgxMA%3D%3D&key=88c7ba82076acca7edd27801f1257cdb75ade13b909dd6ed6c053bc893f6cc1ca31174495f0c63c423df1953fbdbadd7&devicetype=android-17&version=25030050&lang=zh_CN 腾讯大数据之计算新贵Spark,广点通是最早使用Spark的应用之一]
 
*[http://mp.weixin.qq.com/s?__biz=MzA3MDQ4MzQzMg==&mid=205137135&idx=1&sn=24de5f0a11d8a4f3bb40854717c1fa42&scene=4&uin=MTEyNDM1NzgxMA%3D%3D&key=88c7ba82076acca7edd27801f1257cdb75ade13b909dd6ed6c053bc893f6cc1ca31174495f0c63c423df1953fbdbadd7&devicetype=android-17&version=25030050&lang=zh_CN 腾讯大数据之计算新贵Spark,广点通是最早使用Spark的应用之一]
 
*[http://www.biaodianfu.com/spark-tdw.html Spark在腾讯数据仓库TDW的应用]
 
*[http://www.biaodianfu.com/spark-tdw.html Spark在腾讯数据仓库TDW的应用]
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*[http://www.infoq.com/cn/articles/spark-core-rdd 理解Spark的核心Resilient Distributed Datasets(RDD)]
 
*[http://www.infoq.com/cn/articles/spark-core-rdd 理解Spark的核心Resilient Distributed Datasets(RDD)]
 
*[http://www.csdn.net/article/2015-04-30/2824594-spark-summit-china-2015 七牛技术总监陈超:记Spark Summit China 2015]
 
*[http://www.csdn.net/article/2015-04-30/2824594-spark-summit-china-2015 七牛技术总监陈超:记Spark Summit China 2015]
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*[http://www.csdn.net/article/2015-07-30/2825342 七牛是如何搞定每天500亿条日志的]
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*[http://datascienceassn.org/content/39-machine-learning-libraries-spark-categorized 39 Machine Learning Libraries for Spark]
  
[[category:apache]]
 
 
[[category:big data]]
 
[[category:big data]]
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[[category:data science]]
 
[[category:hadoop]]
 
[[category:hadoop]]
 
[[category:scala]]
 
[[category:scala]]
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[[category:apache]]
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[[category:hortonworks]]
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[[category:huihoo]]

2017年6月28日 (三) 01:58的版本

Apache Spark:新一代大数据解决方案

Spark 是用Scala语言编写的一套分布式内存计算系统,它的核心抽象模型是 RDD (Resilient Distributed Dataset,弹性分布式数据集),围绕 RDD 构建了一系列分布式 API,可以直接对数据集进行分布式处理。

相对于 MapReduce 上的批量计算、迭代计算,以及基于 Apache Hive 的 SQL 查询,Spark 可以带来一到两个数量级的性能提升。

Spark在广告领域有很多的成功应用。

目录

版本

Apache Hive

Hive on Spark

Spark on HBase

Spark SQL on HBase: Spark SQL/DataFrame access to NoSQL data in Apache HBase

Spark on YARN

通过Spark on YARN的方式与Apache Hadoop方便地共享集群的存储功能和计算资源。

Cassandra

elasticsearch

REST API

Spark 1.4引入REST API

http://localhost:4040/api/v1/applications

机器学习

项目

Spark的相关项目和生态系统: Supplemental Spark Projects

服务商

  • Spark背后的商业公司:Databricks,同时提供Spark服务提供商Certified Spark Distribution官方认证。
  • Stratio Platform: The first "pure Spark" platform with 50% fewer components and operational complexity.
  • IBM的思路是将Spark视为数据分析的操作系统。

用户

课程

文档

图集

链接

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