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According to Microsoft's official message, SQL Server 2014, the next database platform version, will be released by the end of this year. It will include the table-level memory OLTP function, unlike other memory databases, this feature eliminates
In the past, MySQL databases were used to write a large pile of SQL statements all day long. It took several days to remember these SQL keywords, and all the SQL keywords were written. When MongoDB was exposed, I found that I don't need to write SQL
This note sorts out the video lecture "SQL from getting started to improving" trained by Yang zhongke in Chuanzhi podcast. net. Video related links: http://www.rupeng.com/forum/tj-16325-2477.html
Database concepts
1. What is an index? What are the
I. JDBC Related CONCEPTS Introduction 1.1, Database driverHere the concept of driving and usually hear the kind of driving concept is the same, such as the usual purchase of sound card, network card directly plugged into the computer is not
Java Web Summary (1) -- getting started, javawebI. Basic Concepts 1.1. WEB development knowledge
WEB indicates the meaning of a webpage in English. It is used to indicate resources on an Internet host for external access.Web resources on the
Original linkWhat is SparkApache Spark is a large data processing framework built around speed, ease of use, and complex analysis. Originally developed in 2009 by Amplab of the University of California, Berkeley, and became one of Apache's Open
About SparkSpark is the common parallel of the open source class Hadoop MapReduce for UC Berkeley AMP Lab, Spark, with the benefits of Hadoop MapReduce But unlike MapReduce, the job intermediate output can be stored in memory, thus eliminating the
This article explains how to use left join, cross join, and IDENTITY value retrieval to Improve the Performance of SQL Server-based applications or improve their scalability.
What you will encounter: SQL queries in applications cannot respond in the
Sometimes, all you do to make the application run faster
WorkMake some minor adjustments here or there. But the key lies in determining how to adjust it! Sooner or later, you will encounter this situation:
SQLThe query cannot respond as you want. It
I. unreasonable index design
---- For example, a table with 620000 rows of record and rows with different indexes has the following SQL statements:
---- 1. A non-cluster index is created on date.
Select count (*) from record where date>
'20140901'
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