Understanding Apache Spark

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 ...

Http://www.aliyun.com/zixun/aggregation/13383.html ">spark is a cluster computing platform originating from the Amplab of the University of California, Berkeley, which is based on memory computing and has more performance than Hadoop , even with disk, the calculation of the iteration type will increase by 10 times times. Spark is a rare all-round player, starting from multiple iterations, eclectic data Warehouse, stream processing and graph calculation. Spar ...

At the moment, http://www.aliyun.com/zixun/aggregation/13383.html ">spark has gained popularity, and a distributed computing approach based on map reduce makes spark similar to Hadoop, 　　It is more versatile than Hadoop, with more efficient iterations and more fault-tolerant capabilities, and future spark will be a very successful parallel computing framework. "Editor's note" author Mikio Braun is Berlin industrial big ...

3721.html ">2014 April 19" China Spark Technology Summit (Spark Summit Chinese 2014) will be held in Beijing, home and abroad Apache Spark community members and business users will be in Beijing for the first time. 　　 　　Spark contributors and front-line developers of Amplab, Databricks, Intel, Taobao, and NetEase will share their spark project experience and best practices in the production environment. Spark as a ...

April 19, 2014 Spark Summit China 2014 will be held in Beijing. The Apache Spark community members and business users at home and abroad will be gathered in Beijing for the first time. Spark contributors and front-line developers from AMPLab, Databricks, Intel, Taobao, NetEase, and others will share their Spark project experience and best practices in production environments. The following is a reporter interviewed the original: - What are the reasons to attract you to study Spark ...

Over the past two years, the Hadoop community has made a lot of improvements to mapreduce, but the key improvements have been in the code layer, http://www.aliyun.com/zixun/aggregation/13383.html "> 　　Spark, as a substitute for MapReduce, has developed very quickly, with more than 100 contributors from 25 countries, and the community is very active and may replace MapReduce in the future. The high latency of mapreduce has become ha ...

Summary Today we only talk about the code to read the method, do not carry out those complicated technical implementation in Spark. Surely we all know that Spark was developed using scala, but because of the large number of syntactic sugars in scala, code often follows and discovers clues. Second, Spark interacts with Akka based on how to know who Recipient it? new Throwable (). printStackTrace In the code following, we often rely on the log, and ...

Set "Hadoop China cloud Computing Conference" and "CSDN large data Technology conference" The essence of the great, successive Chinese large Data technology conference (BDTC) has developed into the domestic de facto industry's top technology event. From the 2008 60-man Hadoop salon to the present thousands of-person technical feast, as the industry has a very real value of the professional Exchange platform, each session of China's large data technology conference faithfully portrayed in the field of large data technology, sedimentation of the industry experience, witnessed the whole large data eco-circle technology development and evolution. December 2014 1 ...

Set "Hadoop China cloud Computing Conference" and "CSDN large data Technology conference" The essence of the great, successive Chinese large Data technology conference (BDTC) has developed into the domestic de facto industry's top technology event. From the 2008 60-man Hadoop salon to the present thousands of-person technical feast, as the industry has a very real value of the professional Exchange platform, each session of China's large data technology conference faithfully portrayed in the field of large data technology, sedimentation of the industry experience, witnessed the whole large data eco-circle technology development and evolution. December 2014 1 ...

Hadoop ecosystem has developed rapidly in recent years, and it contains more and more software, and it also drives the prosperity and development of the peripheral system. Especially in the field of distributed computing, the system is numerous and diverse, from time to time a system, claiming to be more efficient than mapreduce or hive dozens of times times, hundreds of times times. There are some ignorant people who always follow the impala and say that the replacement of Hive,spark will replace the Hadoop MapReduce. This article fires from the problem domain and explains the unique role of each system in Hadoop ...