Sql Server Table Properties

This series of articles is a learning record about the fundamentals of azure services development, and because of time constraints, the process of wishing to discuss and explore yourself is from scratch, to be able to develop basic programming for azure services. There may be a very deep topic relative to each topic, and I would like to have time to do it through other articles. 　　The positioning of this series is basically positioning, take 20-30 minutes, download the code first, follow the article, run to get the relevant experience. The previous article is about Azure queue storage, this is about ...

An example of a full-text index for SQL Server databases, in the pubs database. First, introduce the steps to create a Full-text index from a system stored procedure: 1 The Full-text processing capabilities of the startup database (Sp_fulltext_database) 2) Establish a Full-text catalog (sp_fulltext_catalog) 3) to register a table in the Full-text catalog that requires Full-text indexing ( sp_fulltext_table) 4 indicates the column name in the table that requires a Full-text index (Sp_fu ...).

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Related Settings for IIS: Delete the default site's virtual directory, stop the default Web site, delete the corresponding file directory c:inetpub, configure the public settings for all sites, set the associated number of connections, bandwidth settings, and other settings such as performance settings. Configures application mappings, removes all unnecessary application extensions, and retains only asp,php,cgi,pl,aspx application extensions. For PHP and CGI, it is recommended to use ISAPI parsing and EXE parsing to have an impact on security and performance. User program debug Settings send ...

In the "Azure Services Platform Step by step-9th" Windows Azure Storage Overview, we have discussed the role and characteristics of table storage. 　　This article will take the example of building a simple chat room, demonstrating that if you use the simplest code, the C # entity class (Entity) is stored directly into table storage, completely leaving the SQL Server 200x and ORM Tools. Final effect: (Deployed to the cloud ...)

Overview 2.1.1 Why a Workflow Dispatching System A complete data analysis system is usually composed of a large number of task units: shell scripts, java programs, mapreduce programs, hive scripts, etc. There is a time-dependent contextual dependency between task units In order to organize such a complex execution plan well, a workflow scheduling system is needed to schedule execution; for example, we might have a requirement that a business system produce 20G raw data a day and we process it every day, Processing steps are as follows: ...

Applications cannot be separated from data, and cloud computing applications are supported by data. Windows Azure Service Platform, Microsoft Cloud Computing Services platform provides storage Service--windows Azure storage to store data for cloud applications and, of course, SQL Azure to store relational data. Windows Azure Storage consists of three important parts or three storage data services: Windows ...

The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...

Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up and ...