SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.
When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,
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This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below,
In part one, we learned the basics of data, database, database management system, and types of DBMS and SQL.
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When you develop large chunks of T-SQL code with the help of the SQL Server Management Studio tool, it is essential to test the “Live” behavior of your code by making sure that each small piece of code works fine and being able to allocate any error message that may cause a failure within that code.
The easiest way to perform that would be to use the T-SQL debugger feature, which used to be built-in over the SQL Server Management Studio tool. But since the T-SQL debugger feature was removed completely from SQL Server Management Studio 18 and later editions, we need a replacement for that feature. This is because we cannot keep using the old versions of SSMS just to support the T-SQL Debugger feature without “enjoying” the new features and bug fixes that are released in the new SSMS versions.
If you plan to wait for SSMS to bring back the T-SQL Debugger feature, vote in the Put Debugger back into SSMS 18 to ask Microsoft to reintroduce it.
As for me, I searched for an alternative tool for a T-SQL Debugger SSMS built-in feature and found that Devart company rolled out a new T-SQL Debugger feature to version 6.4 of SQL – Complete tool. SQL Complete is an add-in for Visual Studio and SSMS that offers scripts autocompletion capabilities, which help develop and debug your SQL database project.
The SQL Debugger feature of SQL Complete allows you to check the execution of your scripts, procedures, functions, and triggers step by step by adding breakpoints to the lines where you plan to start, suspend, evaluate, step through, and then to continue the execution of your script.
You can download SQL Complete from the dbForge Download page and install it on your machine using a straight-forward installation wizard. The wizard will ask you to specify the installation path for the SQL Complete tool and the versions of SSMS and Visual Studio that you plan to install the SQL Complete on, as an add-in, from the versions that are installed on your machine, as shown below:
Once SQL Complete is fully installed on your machine, the dbForge SQL Complete installation wizard will notify you of whether the installation was completed successfully or the wizard faced any specific issue that you can troubleshoot and fix easily. If there are no issues, the wizard will provide you with an option to open the SSMS tool and start using the SQL Complete tool, as displayed below:
When you open SSMS, you will see a new “Debug” tools menu, under which you can navigate the SQL Debugger feature options. Besides, you will see a list of icons that will be used to control the debug mode of the T-SQL query at the leftmost side of the SSMS tool. If you cannot see the list, you can go to View -> Toolbars -> Debugger to make these icons visible.
During the debugging session, the SQL Debugger icons will be as follows:
The functionality of these icons within the SQL Debugger can be summarized as:
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The SQL Server design implies a one-to-many mapping between the database engine (instance) and the databases hosted on the instance. It means that you can deploy several databases on one instance of the SQL server. According to the Microsoft documentation, you can have up to 32767 databases on a single instance of SQL Server. Of course, there will be limitations, like the resources on the server, managing concurrency on TempDB, network traffic, etc.
Databases deployed on a SQL Server instance can either be System Databases or User Databases. System Databases come installed with the instance. In this article, we will discuss the purpose of each System database. Also, we’ll clarify what you need to care for when managing system databases on SQL Server.
System databases are a part of many processes taking place when you install an instance of SQL Server. By default, these databases are created in the following paths:
%programfiles%\Microsoft SQL Server\MSSQL15.MSSQLSERVER\MSSQL\DATA
%programfiles%\Microsoft SQL Server\MSSQL15.MSSQLSERVER\MSSQL\Log
The path can be different. During the installation of SQL Server, you can specify the location of the system database files.
To list all the system databases in an instance, you can invoke the code in Listing 1. Listing 2 can be used to determine the location of the datafiles associated with the system databases. Note that in both scripts, we use a filter returning databases with database_id of 5 or higher than 5.
The essential “visible” system databases have database_ids 1,2,3,4 – they refer to master, tempdb, model, and msdb, respectively. There is also an “invisible” database called the resource databases and other system databases created when you enable features like replication.
-- Listing 1: System Databases select name ,database_id ,create_date ,state_desc ,recovery_model_desc ,log_reuse_wait_desc ,physical_database_name ,is_db_chaining_on ,is_broker_enabled ,is_mixed_page_allocation_on from sys.databases where database_id<5; -- Listing 2: System Database Files select name ,database_id ,DB_NAME(database_id) ,name ,physical_name ,type_desc from sys.master_files where database_id<5;
Figure 1: System Databases
The master database is the first database open on the start of SQL Server, containing the following data:
Thus, it has the information necessary for opening all other databases. That’s why it has to be first to open. The question is how to do it.
The SQL Server startup parameters contain two entries, which define the locations of the master database data and log files. The default startup parameters include only three lines – the third one is the error log file location. When SQL Server starts up, it must be able to write to that error log file.
The master database opens first. The information stored in the master database, including the configurations defined using sp_configure, applies to open other databases and complete the instance startup process.
Figure 2: SQL Server Configuration Manager
Figure 3: SQL Server Startup Parameters
There are several ways to learn about useful SQL Server system objects, like Dynamic Management Views and Functions.
For instance, expand the views or programmability nodes for the master database on object explorer. There, review these objects’ names and get more details from Books Online.
You can also migrate logins from one instance to another. For that, restore a backup of the master database to the destination instance. We’ll describe the specific technique in a separate article.
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