This article continues from the series on SQL Server Always On Availability Group. This is the 11th article in this series.
In the previous article, Deploy a domain-independent Windows Failover Cluster for SQL Server Always On Availability Groups, we learned the new capability in Windows Server 2016 to configure a domain-independent Windows failover cluster. We did the following steps in the previous article.
In this article, we will configure an Availability Group on the domain-independent cluster.
First, you should install the SQL Server database engine on all nodes participating in the failover cluster. I do not cover all steps in SQL Server 2019 installation in this article, and you can explore the previous article in the series for detailed instructions.
As you know, we do not have an active directory configured for both nodes in my failover cluster. You should use the built-in service accounts(NT Service). As per best practice, you should grant volume maintenance task privilege for the SQL Server Database engine service, as shown below.
Open the SQL Server Configuration Manager and put a tick on the Enable Always On Availability Group. You can see the name of the domain-independent failover cluster on this page. You must restart SQL Services to make the changes effective.
Similarly, enable the Always-on availability groups on the SQLAG2 node and restart SQL Services.
A domain-independent uses the database master key for SQL Server Always On Availability Group. You require a password to encrypt the database master key.
Image Reference: Microsoft docs
We configure the SQLAG1 as the primary replica for this article.
In this step, we create a certificate to secure the availability group endpoint in SQL Server Always On. This certificate is also useful to secure the inbound traffic on the secondary AG. SQL Server uses these certificates for authentication purposes as well in a domain-independent cluster.
Execute this script on the primary replica SQLAG1.
We need to take a backup of the certificate created in step 4. This certificate is required later in the secondary replica user authentication.
In this step, we create an endpoint on the primary replica SQLAG1 with the following information.
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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 working in the SQL Server, we may have to check some other databases other than the current one which we are working. In that scenario we may not be sure that does we have access to those Databases?. In this article we discuss the list of databases that are available for the current logged user in SQL Server
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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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