This article is dedicated to a slightly more complex product analysis with Full-Text Search as opposed to the first part where we looked at how to perform a basic product analysis.
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Learn to Perform Product Analysis using SQL Server Full-Text Search. Part 1
This article considers how to perform basic product analysis using Full-Text Search.
Additionally, the readers are going to learn some practical examples of product analysis regarding sales with the help of Full-Text queries.
Read MoreBest SQL Tools for Database Developers and Administrators
For a SQL database developer, it is essential to have the necessary SQL tools in hand, which enable to reduce the development time of given functionality. The same is true for the tester. For a database administrator, it is also important to have monitoring tools.
In this article, we are going to look at some MS SQL Server development and monitoring tools, such as:
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Storing XML data in SQL Server
When working on the release of dbForge Transaction Log, among other tasks, our team had to puzzle out how to properly store typed XML data.
To start with, it is worth mentioning that SQL Server does not store XML in the format it was entered. An XML string is parsed, split to tags, and thus is stored in a compressed format. Description elements that the server considers unnecessary are discarded.
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Basics of Working with JSON in SQL Server
JSON – A Brief Background
JSON is an acronym for JavaScript Object Notation, that became popular a little over seventeen years ago. JSON is essentially a data format, it was popularized by Douglas Crockford, a well-known programmer with an interesting history who was also involved in the development of JavaScript. JSON has nearly replaced XML as a cross-platform data exchange format. It is reported to be lightweight and easier to manipulate compared to XML. In AWS CloudFormation, templates, which are actually JSON (or YAML) formatted documents, are used to describe AWS resources when automating deployments.
JSON is also used extensively in NoSQL databases such as the increasingly popular MongoDB. Virtually all the Social Media giants expose APIs that are based on JSON. I am sure you begin to get the idea of how widespread its applications have become. JSON was standardized in 2013 and the latest version of the standard (ECMA-404: The JSON Data Interchange Syntax) was released in 2017.
SQL Server introduced support for JSON in SQL Server 2016.
Different Ways to Monitor SQL Server AlwaysOn Availability Groups
In my previous articles, I have explained the step-by-step process of deploying an AlwaysOn Availability group on SQL Server 2017. In this article, I am going to explain how to monitor AlwaysOn availability groups.
First, let’s review the configuration of the availability group we had deployed previously. To do that, open SQL Server Management Studio Expand database engine from the object explorer Expand “AlwaysOn High Availability” Expand “Availability Groups.” You can see the availability group named SQLAAG. Under this availability group (SQLAAG), you can see the list of availability replicas, availability databases, and availability group listeners. Read More
Searching for Database Objects and Table Data in SQL Server
If you are a SQL Server database administrator or developer, you need to frequently search for specific database objects the names of which you can only partly remember. The manual approach to performing these search operations is time-consuming, especially when the database has a large number of objects.
Another scenario is one in which you want to search for specific data in all database tables. In this case, you need to run a SELECT statement multiple times based on the number of database tables or views you want to search in, or write a complex cursor to loop and search in all database tables, which requires advanced SQL Server development skills.
In this article, we will look at different ways of searching for a specific database object or data in SQL Server, going gradually from built-in methods and diving into a 3rd-party tool that makes it a piece of cake to get the requested database object or data. Read More
Accelerated Database Recovery in SQL Server 2019
An Overview of Traditional Recovery
As with all relational database systems, SQL Server guarantees the durability of data by implementing crash recovery. Durability in the acronym ACID which refers to the characteristics of transactions in relational databases means that we can be assured that if the database fails suddenly, our data is safe.
SQL Server implements this capability using the transaction log. Changes made by all Data Manipulation Operations in SQL Server are captured in the transaction log before being applied to data files (through the checkpoint process) in case it’s needed to roll back or roll forward.
SQL Server High availability: Install SQL Server failover clustered instance Part 2
In my previous article, I have explained the step-by-step process of installing SQL Server Failover Clustered Instance. In this article, I will explain how to add a secondary node to the existing failover clustered instance.
Install SQL Server Failover Cluster instance
Once SQL Server is installed on an SQL01.dc.Local node, connect to SQL02.dc.Local and run setup.exe – SQL Server installation wizard opens. In the wizard, select “Installation” from the panel on the left and click on “Add node to a SQL Server failover cluster”. See the following image:
SQL Server AlwaysOn Availability Groups: Installation and configuration, Part 2
In my previous article, I have explained the process of installing and creating a failover cluster and how to enable the AlwaysOn availability group.
In this article, I am going to explain the step-by-step deployment process of SQL Server AlwaysOn Availability groups using wizards. The deployment configurations look the following way:
