Access Array Data With Indexes

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance. 　　Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

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.

Here is a translation of the Redis Official document "A fifteen minute introduction to Redis data Types", as the title says, The purpose of this article is to allow a beginner to have an understanding of the Redis data structure through 15 minutes of simple learning. Redis is a kind of "key/value" type data distributed NoSQL database system, characterized by high-performance, persistent storage, to adapt to high concurrent application scenarios. It started late, developed rapidly, has been many ...

HBase terms in this article: column-oriented: Row column Group: Column families Column: Column unit: Cell Understanding HBase (an Open-source Google bigtable practical application) The biggest difficulty is what is HBase's data structure concept? First HBase is different from the general relational database, which is a database suitable for unstructured data storage. Another difference is that HBase is based on columns rather than on rows. Goo ...

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

Speaking of solid-state drives, there has been a constant controversy since 1978 when there are solid products. It was predicted in 2009 that solid-state drives would not have a future. Solid-State hard drive in the eyes of the people questioned all the way stumbled to today, its own vitality is still very strong. Solid-State hard disk (Solid state DRIVE,SSD) is composed of control unit and storage unit (flash chip), simple is to use solid-state electronic memory chip array and made of hard disk, solid-state hard disk interface specification and definition, function and use the same as ordinary hard drive, in the product ...

My Chinese name is Yu Zhihong. In the HBase community, more people know about Ted Yu. has been a member of the HBase PMC since June 2011. At the HBTC 2012 conference, I was pleasantly surprised by the wide adoption of hbase in China. Famous companies such as Taobao, Huawei, Intel and IBM all recognise HBase. HBase has become a de facto nosql solution in the United States, a trend that is more pronounced in China. I am delighted to see the company's contribution to HBase. In the introduction NoSQL ...