With the introduction of SQL Server 2014 Microsoft has made enhancements to the algorithm that determines when statistics are out of date. This means that statistics will be invalidated sooner, which will lead to the triggering of the update statistics process. By updating statistics more often SQL Server will be able to create better optimized query plans.
- If you want to evaluate how the new In-Memory OLTP engine improves your database’s performance, then Microsoft has a new Analysis, Migrate, and Report tool (AMR).
- The script updates metadata information for all VIEWS, DML TRIGGERS, PROCEDURES, FUNCTIONS, and DDL TRIGGERS.
- This was easy and effective but not always practical and often expensive.
- Here Brent Ozar tells you how it’s simply not true, and you can do it in just 3 steps.
Since migration of databases is a time consuming
and expensive task, we as database professionals must decide what is best for our customers. That forces us to do some research about the new version’s features in order to make the most accurate decision. Improved cardinality estimation is a behind the scenes process that improves SQL Server’s ability to create good execution plans.
The All-New SQL Server 2022: New Features, Updates and More
The script updates metadata information for all VIEWS, DML TRIGGERS, PROCEDURES, FUNCTIONS, and DDL TRIGGERS. Containerization platforms like Docker can be used to create database environments that you can easily refresh. It’s a basic method and implies creating a backup of a database in its desired state and then restoring the backup when you need to refresh the database. You may want to read Part 1 , Part 2 , and Part 3 before continuing.
When you first hear about it, SQL Server’s In-Memory OLTP sounds like a new feature that’s hard to implement, requires a lot of schema changes, and takes planning and downtime. Here Brent Ozar tells you how it’s simply not true, and you can do it in just 3 steps. As an example, login with CONTROL https://remotemode.net/become-a-sql-dba-developer/sql-server-2014/ SERVER permission can be disallowed from impersonating other logins. If this permission is denied, a high privileged login can be stopped from impersonating any other logins. The new estimator has incorporated algorithms and assumptions which work with modern OLTP and data warehouse workloads.
SQL Server 2014
At the same time Illustra and other companies commercialized Postgres, Berkeley released the code for POSTGRES under the MIT license, allowing other developers to work on it. Although the research code for the database was — and remains – open source, building a database company around it was, at the time, impossible, as Stonebraker discovered when founding Illustra in 1992. “When we got venture capital funding for both Ingres and Postgres, VCs would have nothing to do with open source, that was a later phenomenon,” he says. The motivation to make the database extendable also came from wanting to support new data types. An early project with Ingres tried to use it as a geographic information system, far from its home turf of business data. Stonebraker’s first influential work started with Ingres, the early relational database system, which began as his research topic following his appointment as an assistant professor at UC Berkeley in 1971.
Also, you will have to use either one of the Enterprise, Developer, or Evaluation editions of SQL Server 2014 in order to have access to In-Memory OLTP. This engine has been designed to deliver increased concurrency and it has a brand new mechanism to control and eliminate delays due to locking with an optimistic concurrency control mechanism. The new project replaced Linux and Kubernetes with a new operating system stack at the bottom of which is a database system, the prototype multi-node multi-core, transactional, highly-available VoltDB, which Stonebraker started. Despite many of his ideas being so widely used in the database industry, which Gartner said was worth $91 billion in 2022, Stonebraker is laid back about other people using his ideas.
So the Engineers at Microsoft had the wonderful idea of allowing Hybrid High Availability solutions like
the creation of Azure replicas for Availability Groups with a simple Add Azure Replica Wizard to guide you through the process. Memory-Optimized tables can be defined as durable, so data persists on server restart and with schema only duration to preserve table definition alone, useful for ETL transformations and data staging. Let’s take a look at the new features and improvements with SQL Server 2014.
- There are many factors to consider and for every environment certain features have a higher priority and need for implementation than others.
- Hekaton enables you to use both disk based tables and Memory-Optimized Tables together in the same queries and
- Even new Dynamic Management Views have been added to increase ease of troubleshooting.
- Do you know of any links to any T-SQL improvements or new features in SQL Server 2014.
- The ALTER INDEX command ran with REBUILD has a new COLUMNSTORE_ARCHIVE compression option for your data.
There are many factors to consider and for every environment certain features have a higher priority and need for implementation than others. However, not everyone takes the time to look at what has been removed from the new release that may impact their current usage of the database. Each release of SQL Server has features that are being removed in the next release or are labeled for removal in future releases.
Extending Buffer Pool Memory to Solid State Drives
SQL Server 2014 permits statistics creation per partition by setting the INCREMENTAL option to ON in
the CREATE STATISTICS statement. Even new Dynamic Management Views have been added to increase ease of troubleshooting. You can read about them on my previous tip “Understanding Dynamic Management Views in SQL Server 2014”. As I told you before, this version of SQL Server was conceived as a platform for
a Hybrid Cloud.