Sql Join Performance Improvement

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology conference? (Big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

"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 Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Star Ring Technology CTO Sun Yuanhao ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

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 ...

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 ...

Hive is the most widely used SQL on Hadoop tool, and recently many major data companies have introduced new SQL tools such as Impala,tez,spark, based on column or memory hot data, although many people have a view of hive, inefficient, slow query, and many bugs. But Hive is still the most widely used and ubiquitous SQL on Hadoop tool. Taobao survey analysis of the previous report, Taobao 90% of the business run in hive above. The ratio of the storm audio and video ...

From the 2008 60-man "Hadoop in China" technology salon, to the current thousands of-person scale of the industry technology feast, the seven-year BDTC (large data technology conference) has fully witnessed the transformation of China's large data technology and applications, faithfully depicting the large data field of technology hotspots, Precipitated countless valuable industry experience. At the same time, from December 2014 12 to 14th, the largest China data technology event will continue to lead the current field of technology hotspots, sharing the industry experience. In order to better understand the trend of industry development, understanding of enterprises ...

At the moment, PCs are still the core tool in our day-to-day life-we use PCs to process documents, store data, and share information with others via email or u disk. If the PC hard drive is broken, we will be stranded because of data loss. In the "Cloud computing" era, the cloud will do the work of storing and computing for us. "Cloud" is the computer group, each group includes hundreds of thousands of units, and even millions of computers. The benefit of the cloud is that the computer can be updated at any time to ensure that the cloud is immortal. Google has several such "clouds", other IT giants ...