Ben Richardson

Importing and Working with CSV Files in SQL Server

January 28, 2019 by

Introduction

CSV (comma separated values) is one of the most popular formats for datasets used in machine learning and data science. MS Excel can be used for basic manipulation of data in CSV format. We often need to execute complex SQL queries on CSV files, which is not possible with MS Excel. See this article for what is possible with Power BI.

However, before we can execute complex SQL queries on CSV files, we need to convert CSV files to data tables.

Read more »
Timothy Smith

Inserts and Updates with CTEs in SQL Server (Common Table Expressions)

January 28, 2019 by

In CTEs in SQL Server; Querying Common Table Expressions the first article of this series, we looked at creating common table expressions for select statements to help us organize data. This can be useful in aggregates, partition-based selections from within data, or for calculations where ordering data within groups can help us. We also saw that we weren’t required to explicitly create a table an insert data, but we did have to ensure that we had names for each of the columns along with the names being unique. Now, we’ll use our select statements for inserts and updates.

Read more »
Ahmad Yaseen

Implementing a manual SQL Server Audit

January 25, 2019 by

A SQL Server audit can be performed using various number of methods. This includes using the built-in SQL Server Audit feature, using third party tools from the SQL Server market or simply perform the audit task using the legacy methods manually. In the previous article of this series, SQL Server audit overview, we discussed the main concept of a SQL Server audit, the importance of auditing the SQL Server instance changes and the SQL server audit checklists. In this article, we will go through the manual procedures for auditing the SQL Server instance.

Read more »
Timothy Smith

CTEs in SQL Server; Querying Common Table Expressions

January 25, 2019 by

Common table expressions (CTEs) in SQL Server provide us with a tool that allows us to design and organize queries in ways that may allow faster development, troubleshooting, and improve performance. In the first part of this series, we’ll look at querying against these with a practice data set. From examples of wrapped query checks to organization of data to multiple structured queries, we’ll see how many options we have with this tool and where it may be useful when we query data.

Read more »
Bojan Petrovic

SQL index maintenance

January 23, 2019 by

One of the main DBA responsibilities is to ensure databases to perform optimally. The most efficient way to do this is through indexes. SQL indexes are one of the greatest resources when it comes to performance gain. However, the thing about indexes is that they degrade over time.

Read more »
Rajendra Gupta

Working with SQL Server FILESTREAM – Adding columns and moving databases

January 23, 2019 by

SQL Server FILESTREAM is a great feature to store unstructured data into the file system with the metadata into SQL Server database. In the article, FILESTREAM in SQL Server, we wrote to enable the FILESTREAM feature at the instance level. We created the new database for the FILESTREAM and insert sample data into it in the Managing data with SQL Server FILESTREAM tables.

Read more »
Timothy Smith

SQL Bulk Insert Concurrency and Performance Considerations

January 18, 2019 by

One of the challenges we face when using SQL bulk insert from files flat can be concurrency and performance challenges, especially if the load involves a multi-step data flow, where we can’t execute a latter step until we finish with an early step. We also see these optimization challenges with constraints as well, as fewer steps to complete a data flow results in saved time, but possibly less accurate data.

Read more »
Rajendra Gupta

Restoring a SQL Server FILESTREAM enabled database

January 17, 2019 by

In the series on the SQL Server FILESTREAM feature, we have explored the various aspects of FILESTREAM including its overview, internal architecture, database creation etc. In my last article [put the name of the article and a link], we explored the backup for the FILESTREAM enabled database. We can take Full backup as well as filegroup level backup in the FILESTREAM database.

Rajendra Gupta

SQL Server FILESTREAM Database backup overview

January 16, 2019 by

The SQL Server FILESTREAM feature in SQL Server allows storing the large documents files directly into the file systems. In my previous articles, we explored the concepts of FILESTREAM feature in SQL Server. We also learned the folder structures, metadata information and the process of garbage collection. In this article, we are going to learn about the backup and restores in SQL Server.

Read more »
Ed Pollack

Generating Schedules with SQL Server Agent

January 15, 2019 by

Summary

SQL Server Agent allows us to create jobs and assign any number of schedules to them. This allows for great flexibility when deciding when jobs should run. Over time, as the number of jobs and schedules increase on a given SQL Server, it can become challenging to fully understand when and how often jobs run during a given span of time.

Read more »
Ranga Babu

SQL Server Replication with a table with more than 246 columns

January 14, 2019 by

Problem

In our environment we use SQL Server merge replication to replicate data to multiple subscribers. We had a situation where a table needs to be part of merge replication and the table has more than 246 columns. Merge replication supports tables with maximum of 246 columns. In this article let us see how to replicate a table with more than 246 columns.