Partition Query

The example demonstrates using the IBM BCU design architecture to benchmark TPC as data source (300GB data volume) and test case, showing the pull effect of "troika" on query performance. Whether in the POC test or in the real production system, query performance is an important indicator of customer concern. Through this article, the reader can fully understand the "troika" of the mystery, the text of the example demo to the reader has reference and referential significance. In the Http://www.aliyun.com/zixun/aggreg ...

Hive in the official document of the query language has a very detailed description, please refer to: http://wiki.apache.org/hadoop/Hive/LanguageManual, most of the content of this article is translated from this page, Some of the things that need to be noted during the use process are added. Create tablecreate [EXTERNAL] TABLE [IF not EXISTS] table_name [col_name data_t ...

A large data resource description model supporting efficient query retrieval Zhang Wenji Xianglenzhi Wangxiaofang The problem of large data resource description model which can not support efficient query retrieval in the form of a unified query interface, by extending the trace attribute of large data partition management model, the extension function is introduced, In order to support the construction of differentiated large data information resource organization pattern. On this basis, the inverted retrieval mode which supports high efficient retrieval of large data resources is given, and it is proved that it is much more efficient than traversal retrieval mode and hierarchical retrieval mode. At the same time, the unified query mechanism in dialect mode is given. At present, large data resources are traced ...

1.1: Increase the secondary data file from SQL SERVER 2005, the database does not default to generate NDF data files, generally have a main data file (MDF) is enough, but some large databases, because of information, and query frequently, so in order to improve the speed of query, You can store some of the records in a table or some of the tables in a different data file. Because the CPU and memory speed is much larger than the hard disk read and write speed, so you can put different data files on different physical hard drive, so that the execution of the query, ...

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 ...

Editorial Staff Note: This article is written by Azurecat Cloud and the senior project manager of the Enterprise Engineering Group, Shaun Tinline-jones and Chris Clayton. The cloud service base application, also known as "csfundamentals," shows how to build Azure services supported by the database. This includes usage scenarios that describe logging, configuration, and data access, implementation architectures, and reusable components. The code base is designed to be used by the Windows Azure Customer consulting Team ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall The optimization of the database has been an important problem that many large web sites have to deal with during operation. For example, at the end of March 2012, I have participated in the development of a province's provincial government information public release system, after 4 months of functional development and testing, the system officially online, because the system is ...

Absrtact: The optimization of database has always been an important problem to be addressed in the operation of many large websites. For example, at the end of March 2012, I have participated in the development of a province's provincial government information public release system, after 4 months of functional development and testing of the database optimization has been a lot of large-scale web site operation must be addressed in the important issues. For example, at the end of March 2012, I have participated in the development of a province's provincial government information public release system, after 4 months of functional development and testing, the system officially online, because the system uses ...

It is well known that the system reads data from memory hundreds of times times faster than it does from the hard disk. So now most of the application system, will maximize the use of caching (in memory, a storage area) to improve the system's operational efficiency. MySQL database is no exception. 　　Here, the author will combine their own work experience, with you to explore the MySQL database Cache management skills: How to properly configure the MySQL database cache, improve cache hit rate. 　　When will the application get the data from the cache? Database read from server ...

"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 ...