Spark Database

The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley. 　　It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

According to sort Benchmark's latest news, Databricks's spark tritonsort two systems at the University of California, San Diego, 2014 in the Daytona graysort tied sorting contest. Among them, Tritonsort is a multi-year academic project, using 186 EC2 i2.8xlarge nodes in 1378 seconds to complete the sorting of 100TB data, while Spark is a production environment general-purpose large-scale iterative computing tool, it uses 207 ...

Code version: Spark 2.2.0 This article mainly describes a creator running process. Generally divided into three parts: (1) sparkconf creation, (2) Sparkcontext creation, (3) Task execution. If we use Scala to write a wordcount program to count the words in a file, package Com.spark.myapp import Org.apache.spark. {Sparkcontext, Spar ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall Zhang: Good evening, we are very happy to invite to the Spark Address Book www.hozom.com operation team Wang Fang classmate came to the interactive space and we talk about the spark directory of that thing. In fact, the beginning of the name of the fire did not know what to do, and then after the introduction of the main is engaged in the phone book, Address Book Development, need more understanding of their products and more understanding of their services, then our interview will begin, thank you! ...

Http://www.aliyun.com/zixun/aggregation/14112.html ">hortonworks's new code improved integration of Spark and Hive, 　　and plan for security and performance upgrades to the Spark memory analysis platform. The Apache Spark Memory analysis platform is now a hot technology in the field of large data analysis, and the Hadoop publisher Hortonworks recently decided to increase its commitment to spark. This week ...

2014http://www.aliyun.com/zixun/aggregation/13383.html ">spark Summit held in San Francisco, the database platform provider DataStax announced, Work with spark supplier Databricks, in its flagship product DataStax Enterprise 4.5 (DSE), will Cassandra NoSQL database and Apache Spark Open Source ...

"Guide" the author (Xu Peng) to see Spark source of time is not long, note the original intention is just to not forget later. In the process of reading the source code is a very simple mode of thinking, is to strive to find a major thread through the overall situation. In my opinion, the clue in Spark is that if the data is processed in a distributed computing environment, it is efficient and reliable. After a certain understanding of the internal implementation of spark, of course, I hope to apply it to practical engineering practice, this time will face many new challenges, such as the selection of which as a data warehouse, HB ...

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data tec on the Hnologyconference 2014,BDTC 2014) and the second CCF large data academic conference in Beijing new Yunnan Crowne Plaza grand opening. 2014 China Large data Technology conference ...