Skip to main content

SQL Server Query Store–How to use it in older SQL versions

One of the (not-so hidden) gems in SQL Server is the availability of the Query Store. Unfortunately you need SQL Server 2016 or higher to be able to use this feature.

The good news is that there is an alternative for older SQL Server versions; OpenQueryStore.

OpenQueryStore (OQS) is a collection of scripts that add Query Store like functionality to pre-SQL Server 2016 Instances!

OQS is being built from the ground up to allow all versions and editions of SQL Server from 2005 up to and including 2014 to have a Query Store like functionality. The data collection, retention and cleanup will be easily configurable to allow for complete control of the OQS data storage.

Installation

  1. Download the latest release of Open Query Store from the releases page and unzip the file.

  2. Open a PowerShell console and navigate to the location of the unzipped files. Copying the command below change the values of <Instance>, <dbName> and <path> and OQS will be installed for you.

.\Install.ps1 -SqlInstance <Instance> -Database <dbName> -OQSMode Centralized -SchedulerType "Service Broker" -CertificateBackupPath "<path>"

Configuration

After the installation is done, you have to enable the data collection by setting the collection_active bit to true in the [oqs].[collection_metadata] table. When enough data is collected you can check the generated data through one of the available reports.

Reports

The OQS Dashboards can be viewed directly from SSMS (v16. or V17.).

  1. Download the OpenQueryStoreDashboard.rdl and OpenQueryStoreWaitStatsDashboard.rdl files from the GitHub page and store it on a machine with SSMS installed.
  2. Right-click on a user database that has the OQS enabled and select "Reports - Custom Reports".
  3. Navigate to the location were you stored the .rdl files and open it.

Popular posts from this blog

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Kubernetes–Limit your environmental impact

Reducing the carbon footprint and CO2 emission of our (cloud) workloads, is a responsibility of all of us. If you are running a Kubernetes cluster, have a look at Kube-Green . kube-green is a simple Kubernetes operator that automatically shuts down (some of) your pods when you don't need them. A single pod produces about 11 Kg CO2eq per year( here the calculation). Reason enough to give it a try! Installing kube-green in your cluster The easiest way to install the operator in your cluster is through kubectl. We first need to install a cert-manager: kubectl apply -f https://github.com/cert-manager/cert-manager/releases/download/v1.14.5/cert-manager.yaml Remark: Wait a minute before you continue as it can take some time before the cert-manager is up & running inside your cluster. Now we can install the kube-green operator: kubectl apply -f https://github.com/kube-green/kube-green/releases/latest/download/kube-green.yaml Now in the namespace where we want t...

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...