Apache Spark Hive

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 ...

Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

In attracting Cloudera, DataStax, MapR, Pivotal, Hortonworks and many other manufacturers to join, Spark technology in Yahoo, EBay, Twitter, Amazon, Ali, Tencent, Baidu, Millet, BEIJING-East and many other well-known domestic and foreign enterprises to practice. In just a year, spark has become open source to the hot, and gradually revealed the common big data platform with Hadoop's Chamber of the potential to fight. However, as a high-speed development of open source projects, the deployment process of ...

Cloudera has courted four mainstream companies to work together to push for a combination of two big open source projects to further improve the planning of the Hadoop community's power. Cloudera, IBM, Intel, Databricks and MAPR have established a partnership to migrate Apache Hive to Apache Spark, which was released at the Spark Summit in San Francisco this week. We have received the news last week, there are rumors that Cloudera will recommend the hive with ...

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 ...

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. MapR is well-known Hadoop provider, the company recently for its Ha ...

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 ...

Developing spark applications with Scala language [goto: Dong's blog http://www.dongxicheng.org] Spark kernel is developed by Scala, so it is natural to develop spark applications using Scala. 　　If you are unfamiliar with the Scala language, you can read Web tutorials a Scala Tutorial for Java programmers or related Scala books to learn. This article will introduce ...

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 ...