mysql vs mssql performance

For some systems with a large data volume, the database faces problems in addition to the low query efficiency, but also the long data warehouse receiving time. Especially for the report system, the time spent on data import may be several hours or dozens of hours every day. Therefore, MySQL is used to optimize the database insertion performance. For some systems with a large data volume, the database fac

Label:One1.1). Indexes reduce the amount of data the server has to examine.2). Indexes Help the server avoid sorting and temporary tables.3). Indexes turn random I/O into sequential I/O.Lahdenmaki and Leach ' s book also introduces a Three-star system for grading how suitable an index was for a query. The index earns one star if it places relevant rows adjacent to all other, a second star if it rows is sorted In the order of the query needs, anda final star if it contains all the columns needed

resulting indexes is quite a bit bigger. Some of that was due to the larger primary key, but Some of it was undoubtedly due to page splits and resultant fra Gmentation as well. 2. Why is there a difference in the primary key succession? Insertion of successive primary keys Insertion of discontinuous primary keys Disadvantages of inserting discontinuous primary keys: The destination page might has been flushed to disk and removed from the caches, or might not having ever been placed into the

Eight methods for optimizing MySQL database performance (2) bitsCN.com Create table customerinfo(CustomerID int not null,Primary key (CustomerID)) TYPE = INNODB;Create table salesinfo(SalesID int not null,CustomerID int not null,Primary key (CustomerID, SalesID ),Foreign key (CustomerID) REFERENCES customerinfo(CustomerID) ON DELETECASCADE) TYPE = INNODB; Note the parameter "on delete cascade" in the exampl

Eight methods for optimizing MySQL database performance (2) bitsCN.com Create table customerinfo(CustomerID int not null,Primary key (CustomerID)) TYPE = INNODB;Create table salesinfo(SalesID int not null,CustomerID int not null,Primary key (CustomerID, SalesID ),Foreign key (CustomerID) REFERENCES customerinfo(CustomerID) ON DELETECASCADE) TYPE = INNODB; Note the parameter "on delete cascade" in the exampl

table, if the increase can also be separate head portrait for a separate table (such as Baidu separate picture server) Read and write separation: The Web program is slow, the first test object is the database, wrote a few years of program are aware. Now you want to track down the SQL statements in MySQL that drag server performance? Need to open a slow query output

Five methods to improve the performance of hexadecimal identifiers in MySQL: bitsCN.com Here we will talk about how to maintain good performance when using hexadecimal big data, mainly about the MySQL database, which should also work for other databases. 1. be careful about your character encoding Check the following S

We will first discuss the index, because it is the most important tool to speed up the query. Of course there are other technologies to speed up the query, but the most effective is to use the index properly. Next we will introduce what the index is, how it improves the query performance, and when the index may degrade as a free and efficient Database. mysql is the first choice. Good secure connection, buil

This article mainly introduces how to use FriendFeed to improve MySQL Performance and use it to store schema-less data to maintain indexes. For more information, see Background We use MySQL to store all the data of FriendFeed. The database increases a lot with the growth of the user base. More than 0.25 billion records and a bunch of other data from comments and

MySQL database performance optimization-table structure optimization bitsCN.com Many As a database table structure design "Bible", the author believes that as long as the design is based on this paradigm requirement, the designed table structure can be optimized enough to ensure excellent performance and meet scalability requirements. It is unknown that th

internal data structures (parse trees), and then optimizes them, including rewriting queries, determining the order in which tables are read, and selecting the appropriate indexes. 2, for the SELECT statement, before parsing the query, the server will first check the query cache, if it can hit, the server will not have to perform query parsing, optimization and execution of the entire process, directly return to the query cache result set. MySQL Focu