External Article

Optimizing Your Query Plans with the SQL Server 2014 Cardinality Estimator

SQL Server 2014 introduces the first major redesign of the SQL Server Query Optimizer cardinality estimation process since version 7.0. The goal for the redesign was to improve accuracy, consistency and supportability of key areas within the cardinality estimation process, ultimately affecting average query execution plan quality and associated workload performance. This paper provides an overview of the primary changes made to the cardinality estimator functionality by the Microsoft query processor team, covering how to enable and disable the new cardinality estimator behavior, and showing how to troubleshoot plan-quality regressions if and when they occur.

External Article

In-Memory OLTP – Common Workload Patterns and Migration Considerations

In-Memory OLTP is a high performance, memory-optimized engine integrated into SQL Server 2014 and designed for modern hardware trends. In-Memory OLTP allows users to move data into memory resident tables while keeping other data in traditional, disk-based table structures. For performance critical workloads, users can also migrate Transact-SQL code to natively compiled stored procedures. This can provide additional performance gains. This paper aims to help readers understand some of the common architectural patterns where In-Memory OLTP has provided significant benefits. The paper also discusses considerations for migrating applications to In-Memory OLTP.

Blogs

Overcoming Challenges: Navigating Common Pitfalls in FinOps Adoption

By

Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...

Why your data still can’t answer a simple question 

By

Every organization I talk to has the same problem dressed up in different clothes....

T-SQL Tuesday #197 Invitation – An impactful session or two from a conference

By

I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...

Read the latest Blogs

Forums

The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI

By Terry Jago

Comments posted to this topic are about the item The day-to-day pressures of a...

Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)

By BOR15K

Hello all, I’m looking for advice on how to derive a daily snapshot table...

SQL 2017 to SQL 2025. Good to Go ?

By homebrew01

We need to replace our Windows server running SQL 2017. Any reason not to...

Visit the forum

Question of the Day

Using OPENJSON

I have some data in a table that looks like this:

BeerID BeerName    brewer               beerdescription
1      Becks       Interbrew            Beck's is a German-style pilsner beer 
2      Fat Tire    New Belgium          Toasty malt, gentle sweetness, flash of fresh hop bitterness.
3      Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste
4      Alaskan Amber Alaskan Brewing     Alaskan Brewing Amber Ale is an "alt" style beer
8      Kirin       Kirin Brewing         Kirin Ichiban is a Lager-type beer
If I run this, what is returned?
select t1.[key]
    from openjson((select t.* FROM Beer AS t for json path)) t1

See possible answers