External Article

Query Store and Parameterization Problems

The query store gives us a novel way of identifying those queries that are causing performance problems when they are parameterized by SQL Server for reuse. Although it is relatively simple to ensure that certain troublesome queries avoid the problem, it is laborious to identify these queries. Additionally, Query Store gives us the means to fix the problem for groups of queries by means of plan guides without changing the DDL at all. Dennes Torres explains the details

External Article

Statistics in SQL: The Kruskal–Wallis Test

Before you report your conclusions about your data, have you checked whether your 'actionable' figures occurred by chance? The Kruskal-Wallis test is a safe way of determining whether samples come from the same population, because it is simple and doesn't rely on a normal distribution in the population. This allows you a measure of confidence that your results are 'significant'. Phil Factor explains how to do it.

Blogs

T-SQL Tuesday #198 Roundup: How Do You Detect Data Changes?

By

Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...

Optimizing Redshift Performance by Configuring WLM Queues

By

Efficient query performance in Amazon Redshift often comes down to how well you manage...

PowerShell Strikes Back: Return of the Loop

By

Welcome back to PowerShell Strikes Back. We’re three weeks in, and the training is...

Read the latest Blogs

Forums

Dealing with huge heap tables

By JasonO

Recently, our dev teams approach me for advice on improving their huge heap table...

BCA KCU GAJAH MADA No.Telpon 087781685647

By ricardooliveira

Whatsapp 087781685647 Jl. Gajah Mada No.112 B-C-D, RT.1/RW.1, Krukut, Kec. Taman Sari, Kota Jakarta...

Merge Replication failing with Error converting data type nvarchar to numeric

By Leo.Miller

After upgrading 2 Merge Replicated databases to SQL 2022 and re-establishing the Merge Replication...

Visit the forum

Question of the Day

Distance Metric Algorithms

What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?

See possible answers