Skip to main content

Sync Group - Let's talk about Performance

In one of my latest post I talked about synchronization functionality that is available for SQL Azure. There was a question related of the performance of this service.
So, I decided to make a performance test, to see what are the performance. Please take into account that this service is in the preview and the performance will change when the service will be released.
For this test I had the following setup:
  • Database
    • Size 7.2 GB
    • 15 tables
    • 2 tables with more than 30.000.000 of rows (one table had around 3.2 GB and the other one had 2.7 GB)
    • 34.378.980 rows in total
  • Database instances
    • 1 DB in West Europe (Hub)
    • 1 DB in West Europe
    • 1 DB in North Europe
    • 1 DB in North Central US
  • Agent
    • 1 agent in West Europe
  • Configuration
    • Hubs win
    • Sync From Hub
Scenario One: Initialize Setup
I started from the presumption that your data were not duplicated yet on all the databases. First hit of the Sync button will duplicate the database schema of the tables that needs to be sync, table content and rest of resources to all the databases for the given table. This means that 7.2 GB were send to the 3 different databases.
Normally you can do this action in other ways. Exporting/Importing the database for example, but I wanted to see how long it takes to sync all the databases.
Sync action duration: 5 hours and 36 minutes (20160.17 seconds)
 
Scenario Two: Update 182 rows
In this scenario I updated 182 rows from one of the tables
Sync action duration: 53.63 seconds
 Scenario Three: No changes
In this case I triggered the synchronization action without any changes.
Sync action duration: 38.47 seconds
 Scenario Four: 23.767 rows updated
23767 rows were updated on the hub database.
Sync action duration: 1 minute and 16 seconds (76 seconds)
 Scenario Five: 4.365.513 rows updated
As in the previous scenario, I updated  I changed a specific number of rows.
Sync action duration: 1 minute and 41 seconds (101.6 seconds)
 Scenario Six: 76.353 rows deleted
From one of the tables I deleted 73.353 rows.
Sync action duration: 56.26 seconds
 
As we can see, the synchronization action itself takes a very short period of time. For 4.5M of rows that were updated, the synchronization action took less than 2 minutes. The only scenario that took a log period of time was the initial synchronization action. Usually this action is made only one time. Also we have other method to import the database content to all our database.
I would say that the performance of the sync service is very good and I invite all of you tot check it out. You have support for synchronization out of the box.
Great job!

Comments

  1. Thank you for taking your time to test and share the performances. The performances seems to be very good. I know the service creates triggers for each table involved in sync and it also creates additional tables to keep differences. Do you see a problem with database size in time? Especially because size could involve additional cost in Azure.

    ReplyDelete

Post a Comment

Popular posts from this blog

Windows Docker Containers can make WIN32 API calls, use COM and ASP.NET WebForms

After the last post , I received two interesting questions related to Docker and Windows. People were interested if we do Win32 API calls from a Docker container and if there is support for COM. WIN32 Support To test calls to WIN32 API, let’s try to populate SYSTEM_INFO class. [StructLayout(LayoutKind.Sequential)] public struct SYSTEM_INFO { public uint dwOemId; public uint dwPageSize; public uint lpMinimumApplicationAddress; public uint lpMaximumApplicationAddress; public uint dwActiveProcessorMask; public uint dwNumberOfProcessors; public uint dwProcessorType; public uint dwAllocationGranularity; public uint dwProcessorLevel; public uint dwProcessorRevision; } ... [DllImport("kernel32")] static extern void GetSystemInfo(ref SYSTEM_INFO pSI); ... SYSTEM_INFO pSI = new SYSTEM_INFO(...

How to audit an Azure Cosmos DB

In this post, we will talk about how we can audit an Azure Cosmos DB database. Before jumping into the problem let us define the business requirement: As an Administrator I want to be able to audit all changes that were done to specific collection inside my Azure Cosmos DB. The requirement is simple, but can be a little tricky to implement fully. First of all when you are using Azure Cosmos DB or any other storage solution there are 99% odds that you’ll have more than one system that writes data to it. This means that you have or not have control on the systems that are doing any create/update/delete operations. Solution 1: Diagnostic Logs Cosmos DB allows us activate diagnostics logs and stream the output a storage account for achieving to other systems like Event Hub or Log Analytics. This would allow us to have information related to who, when, what, response code and how the access operation to our Cosmos DB was done. Beside this there is a field that specifies what was th...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...