Performance tuning

Hadi Fadlallah
This image shows how to add an OLE DB Connection manager from Visual studio

SSIS OLE DB Source: SQL Command vs Table or View

August 22, 2019 by

Introduction

SQL Server Integration Services provides a wide variety of features that helps developers to build a robust Extract, Transform and Load process. After many years contributing to SSIS related tags on Stackoverflow.com, I can say that many developers have some misunderstanding about SSIS features (SSIS OLE DB Source, SSIS Expressions, SQL Server destination …) especially those which are very similar and have some common usability.

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Ben Richardson
Screenshot of Query Store fully enabled.

Performance Monitoring via SQL Server Query Store

August 19, 2019 by

SQL Server Query Store is a performance monitoring tool that helps us evaluate the performance of a SQL query in terms of several different performance metrics such as CPU and Memory Consumption, execution time and the I/O cycles consumed by the query. Query store is similar to the windows “Task Manager”. A task manager provides information about the CPU, Memory, Network and Disc consumption of a process. Similarly, the Query Store provides insight to similar information.

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Rajendra Gupta
Deadlock overview

Monitoring SQL Server deadlocks using the system_health extended event

August 12, 2019 by

Performance monitoring is a must to do the task for a DBA. You should ensure that the database performance is optimal all the time without any impact on the databases. Performance issues act like an open stage, and you need to look at every aspect such as CPU, RAM, server performance, database performance, indexes, blocking, waits, and SQL Server deadlocks. You might face frequent deadlocks issues, and they have a direct impact on the application performance.

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Ranga Babu
adding database to an existing failover group

Azure SQL Server auto-failover groups

July 18, 2019 by

In this article, we will review how to set up auto-failover groups in Azure SQL Server and how failover group is different from active geo-replication in Azure. Auto-failover group is an Azure SQL database feature that replicates one or a group of databases to the secondary Azure SQL server in the cross-region. We cannot have a secondary server in the same region. This feature is used to failover all the databases in the failover group in case of disaster and the failover is automatic.

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Ranga Babu
Geo-Replication

Azure SQL database Geo-Replication

July 15, 2019 by

In this article, we will review how to set up Geo-Replication on Azure SQL databases. Geo-Replication is an Azure SQL database feature that allows you to create a readable secondary database in the same region or cross-region. We can failover to the secondary database in case of an outage for a long time on the primary database server. We can also use this feature to migrate a database from one server to another server in the same or cross region with minimal downtime. Geo-replication uses the Always-on feature to replicate committed transactions to the secondary database asynchronously.

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Rajendra Gupta
Availability group validations

Applying Transaction Logs to the Secondary Replica in SQL Server Always On Availability Groups

July 12, 2019 by

Introduction

SQL Server Always On Availability Groups provides HADR solutions for the SQL databases. Here HA refers to high availability and DR refers to disaster recovery. The priority of this feature is to keep the database highly available and then provide Disaster recovery. Due to this reason, if the secondary replica goes down in a synchronous data commit mode, SQL Server changes commit mode to Asynchronous so that users can continue run the transactions and a secondary replica can be in sync later once it bought up. SQL Listener also points to the primary replica and continues redirects connection to the primary replica.

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Bojan Petrovic

Optimizing SQL Server index strategies

July 2, 2019 by

Index strategies overview

This article is about techniques for optimizing the SQL Server indexes strategy. It is an appendix of the SQL index overview and strategy article in which I covered different areas like what indexes actually do, how to create them, and I briefly mentioned some index design guidelines. Furthermore, I also presented an example of how to design them by tuning and optimizing queries, so I’ve really tried to cover all but there is always more when it comes to SQL Server indexes.

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Sifiso W. Ndlovu
Data imported using Custom SQL Statement.

Monitor batch statements of the Get Data feature in Power BI using SQL Server extended events

July 1, 2019 by

One shared characteristic among popular data visualization tools such as Power BI is the ease at which data can be extracted from a variety of disparate data sources, usually at a click of a button, as shown in Figure 1. Such convenience, though, tends to come at a cost as you often have little control over how background scripts used to extract data are generated. Yet, this should be of utmost concern for data architects and BI developers alike as rarely do you find auto-generated scripts that are efficient and optimal. In this article, join me as I put on my DBA hat and trace, monitor and review SQL batch statements that are auto-generated by the Get Data feature in Power BI using SQL Server Extended Events.

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