As a SQL Server DBA, we are responsible for moving the customer SQL databases to other servers. Recently, I was assigned the same project. One of the customers wanted to move their SQL database to a separate server. Following were the challenges:
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Database Administrators are vigilant on the backup and restore processes and use the Monitor Transaction log for the same. SQL Server Transaction Log shipping’s prime steps are Transaction Log backup, copy and restore. The answer to solving Disaster Recovery (DR) at the database level can be achieved by SQL Server Transaction Log shipping.
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SQL Server Log shipping provides a DR (disaster recovery) solution for the SQL Server databases and it can be configured at the database level. In a specific time-gap, SQL Server Transaction Log backup will be taken and copied to the destination site and will be restored. This complete activity or solution will be done by SQL Server job and each step is configured by the user. The learner may confront the difficulties in a couple of steps or while troubleshooting but for the experienced user, it is too easy to set up and handle the SQL Server log shipping set up errors.
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This article explores the use of multiple SQL Server Transaction Log Files and the process of removing the secondary transaction log file.
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In this article, we will discuss some important SQL Server Transaction Log interview questions that you may be asked during a SQL Server administrator or developer technical job interview.
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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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This is the last article, but not the least one, in the SQL Server Transaction Log series. In this series of articles (see the TOC below), we described the Transaction Log concept from four different aspects.
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If this is your first visit to this SQL Server Transaction Log series, I recommend you first review the previous articles (see the TOC below), in order not to be familiar with the concepts that we will discuss in this article. Reviewing the previous articles, you will have a good idea about the following:
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In this article, we will go through a number of SQL Server Transaction Log recommendations and best practices that each database administrator needs to follow in order to enjoy his holidays and have a pleasant sleep without nightmares or calls during the night.
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In this article, we will cover SQL Server Transaction log backups, truncate and shrink operations with an overview and examples covering everything discussed
In the previous articles of this series on the SQL Server Transaction Log, we discussed the importance of the SQL Server Transaction Log and the role that it plays in maintaining the database consistency, by ensuring that the committing transactions data will be preserved and the failed transaction will be rolled back. It also helps to recover the database to a specific point in time in case of system or hardware failure. This is achieved by writing a log record to the SQL transaction log file before writing the data pages to the physical data file, using Write-ahead Logging process.
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Both log shipping and mirroring are high availability and disaster recovery options available in SQL Server. This article will review on how to configure log shipping on a mirrored database.
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In my previous article in this series Accelerated Database Recovery; Instant Rollback and Database Recovery, we talked about a potential DBA painkiller to resolve long waiting times for database recovery and rollback scenarios using Accelerated Database Recovery. In this article, we will look at one more painful challenge for DBAs, Long Running Transaction with Transaction log growth.
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In the previous article of this series on the SQL Server transaction log, we discuss the SQL Server database recovery models, Full, Simple and Bulk-Logged, and the how the recovery model option of the database affects the way the SQL Server Engine works with the transaction logs. In this article, we will discuss the different types of high availability and disaster recovery solutions and the role of the SQL Server transaction log in these technologies.
This article is the continuation of the SQL FILESTREAM series.
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In the continuation of our SQL FILESTREAM article series, we’ll be covering transaction log backups
In SQL Server, we take transaction log backups regularly to have a point-in-time recovery of a database. It is essential to define the backup policy with the combination of full, differential and transaction log backups. A standard configuration of backups for large databases in the production database environment is as follows.
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In the previous articles of this series (see TOC at bottom), we discussed the main concept of the SQL Server transaction, the internal architecture of the SQL Server Transaction Log and finally the Virtual Log File and the best practices in managing the VLFs. In this article, we will go through the relationship between the SQL Server Transaction Log and the three database recovery models.
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In the previous articles of this series, we discussed the reasons behind auditing the different SQL Server instance and database events, how to audit the SQL Server instance manually and using the Extended Events and Triggers methods. In this article, we will show how to audit your SQL Server instance by reading the content of the SQL Transaction Log file of the user database.
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In this article we’ll review SQL Virtual Log files aka SQL Server VLFs, providing an overview and review topics related to size, performance, monitoring and troubleshooting.
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This article will cover SQL Server transaction log architecture including file topography, basic overview, review of LSN and MinLSN, and log truncation
In general, a Transaction is a single unit of work consists of multiple related tasks that should succeed or fail as one atomic unit. To make the concept of the transaction more familiar and why it should go all or none, imagine one of the most critical transaction examples in our daily life, which is withdrawing money from the ATM.
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A workload management is considered as a critical aspect of SQL Server transactional replication. Replication is the oldest of the high availability technologies in SQL Server and it is available since the inception of SQL Server. As a very mature technology, SQL Server transactional replication is also very robust and, in most cases, very straightforward to set up and manage.
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This is article is a continuation of the previous: SQL Server replication: Overview of components and topography.
By now, you’re familiar with the components of replication. So far, we’ve seen a lot of theory about replication. It’s a time for practical walkthrough of setting up a basic transactional SQL Replication system. The best way to get a feel for how SQL Replication is implemented and how it works is to see it in action.
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In this data-driven era, replication is often a critical requirement for achieving a modern, agile database management environment. It is believed designing an enterprise-grade dataset is the to achieving this requirement but building datamarts from datasets always presents certain challenges
In this article, we’ll discuss what it takes to setup “central subscriber with multiple publishers” replication model, to create an aggregate dataset from multiple sources, and you’ll also see how to scale with the data.
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The volume of data retained, managed, and accessed today is unprecedented. Businesses expect the IT department to keep data online and accessible indefinitely, putting intense pressure on the databases required to store and manage it. To meet today’s needs; we need to replace outdated and inefficient legacy processes with new, more agile techniques. SQL Server Replication is one of the techniques to accommodate such demands.
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