Sql Rebuild All Indexes

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optimization of SQL Server database under large data volume

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, ...

Mysql database sql statement commonly used optimization methods

MySQL database sql statement commonly used optimization methods 1. Query optimization, should try to avoid full table scan, should first consider where and order by the columns involved in the establishment of the index. 2. Should be avoided in the where clause on the field null value judgment, otherwise it will cause the engine to abandon the use of indexes and full table scan, such as: select id from t where num is null You can set the default value of num 0, to ensure that Num column table does not null value ...

SQL Server Optimization: Filter condition setting improves indexing efficiency

Setting filter conditions to improve indexing efficiency good indexes are key to SQL Server database performance, but efficient indexes are carefully designed. As we all know, a primary key is a unique identifier for a data object, and if there is no clustered index in the datasheet, the SQL Server database will create a clustered index (Clustered index) for the primary key by default in order to maintain the uniqueness of the key. Unless the user specifically specifies that the index should be created as a nonclustered index (non-clustered index). There is no doubt that we ...

Database security: How to recover when SQL Server database crashes

No database system can avoid a crash situation, even if you use a clustered, two-machine hot standby ... It is still not possible to completely eradicate the single point of failure in the system, and for most users, this expensive hardware investment cannot be sustained. So, when the system crashes, how to restore the original valuable data becomes an extremely important problem. In the recovery, the ideal situation is that your data files and log files are intact, so that only need to sp_attach_db, the data file attached to the new database, or in the downtime of the ...

Method of recovery after SQL Server database crashes

No database system can avoid a crash situation, even if you use a clustered, two-machine hot standby ... It is still not possible to completely eradicate the single point of failure in the system, and for most users, this expensive hardware investment cannot be sustained. So, when the system crashes, how to restore the original valuable data becomes an extremely important problem. In the recovery, the ideal situation is that your data files and log files are intact, so only need to sp_attach_db, the data file attached to the new database, or in the downtime ...

Better management of multiple databases on the server

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host Technology Hall every this instance or every server set up this single database can make database consultants more convenient.   However, doing so will soon increase the cost of your database solution because you will need to purchase a new server or a new SQL Server license for each of the databases that you expect to host. In order to deal with this ...

The combination of Spark and Hadoop

Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...

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