I have 2 azure sql db and I've created SSIS job to transfer some data from 1 db to another.
The db has millions of records
The SSIS is hosted on premise and if I execute the package on my pc,
will it directly copy the data from 1 azure db to another on the FLY
OR
Fetch the data from 1 azure db to my local and then upload the data to another azure db
A trip from azure to local and again from local to azure will be too costly if I have millions of records.
I am aware of azure data sync but my requirements requires ssis for transferring particular data.
Also, do azure data sync have option to sync only particular tables?
Running the SSIS package on your local machine will cause the data to be moved to your machine before being sent out to the destination database.
When you configure a sync group in SQL Azure Data Sync you should be able to select which tables to synchronize.
I'm pretty sure the SQL Azure Data Sync does have the option to select just the tables you need to transfer. However I don't think there is an option to do transformation over the data being transfered.
As for SSIS, I don't see how would a transfer be possible without data first coming to your premises. You have to connections established - 1 connection with the first SQL Azure, and then the other connestion with the second SQL Azure server. And SSIS will pull the data from the first stream (Connection) then push it to the second one.
I would suggest exploring SQL Azure Data Sync, as it might be the best choise for your scenario. Any other option would require data to first come on premise, then being transfered back to the cloud.
Well, there is 3rd option. You create a simple worker based on ADO.NET and SqlBulkCopy class. Put your worker in a worker role in the Cloud, and trigger it by message in an Azure queue or so. Hm. That would seem to be some of the best solution, as you have total control of what is being copied. Thus all the data will stay in MSFT datacenter which means:
Fast transfer
No bandwidth charges (as long as all the 3 - 2 x SQL Azure server + 1 x Worker role are deployed in same affinity group)
Related
Our current web application uses Azure SQL Database. We need to create a scheduled process for importing/exporting data from a SQL database in Azure Virtual Machine to Azure SQl database. And also provide ability to trigger manually.
Currently we have manual scripts with Linked server which needs to be run on both servers.
What are the best options available for clean import/Export data automation (scheduled or manual)? for e.g. Secure Connection between servers, Tools or Applications (other than SSIS)
Could someone please provide guidance.
Thank you,
Vamshi
You can use SQL Data Sync tool to sync data between an Azure SQL Server VM and an Azure SQL database. The sync can be done manually or scheduled with a frequency of days, hours, minutes and seconds.
Of course, you can also use SSIS for that purpose. But you may see intermittent connection failures that can substantially impact data loads.
You can use Azure Data Factory to connect to Azure SQL VM and Azure SQL Database and using the copy data tool export/import data from one to the other, and vice versa.
I need a help to sync the data on Azure SQL from SQL server(On-premise).
Available recourses:
2 Database (SQL Server) on premise available on different server
Azure SQL database on cloud
Migration script/queries are ready to fetch data from on-premise sql server
Requirements:
Set up a scheduler which will run every 12 hours means two times in a day on Azure SQL.
In scheduler, using migration scripts data will be fetch from the On-premise SQL server and insert into Azure SQL Database.
One of the most prevalent Azure SQL DB migration/replication features is Azure Data Sync.
There are two sorts of schedules: Automatic and Manual. Automatic schedules function on time intervals, with the lowest number being 5 minutes. The second kind is the manual schedule, which allows the user to conduct the sync anytime they want using the Azure Portal or PowerShell. The goal of this PowerShell workflow script is to do a one-time sync manually, then switch to automatic sync and configure Sync time intervals according to your preferences.
you can refer this links to setup data sync Set up Data Sync in the Azure portal, Set up Data Sync with PowerShell
Reference: Schedule Data Sync with Azure SQL Database use an Automation account
Due to reasons (I've been told it's a networking issue with MIs; regardless, we can't fix it, we're waiting on a solution from MS that may or may not come out this year), we cannot talk from on-prem to managed instances. However, we can reach Azure SQL Databases.
We would like to replicate lookup data from on-prem to Azure Managed Instances (MIs) as well as ASDs. Is there any way to use the ASD as a "jump" box for replication, maybe by putting the Distributor on an MI that can talk to the ASD?
Looked at Azure Data Sync, but the 5-minute-minimum makes it a no-go.
Otherwise, our current fallback is to run an Azure VM/AKS instance, replicate to it, then from there to the ASDs/MIs. But man, I'd rather not have to do that.
Any suggestions appreciated.
One Way Transactional replication using SQL Data Sync for Azure.
If they wish to maintain the replication running after the migration to Managed Instances, transactional replication will be the best option at this time. Replication to Azure SQL Database
Or using ETL via Azure DataFactory
Transfer data from a SQL Server database to an Azure SQL Database using Azure Blob Storage and the Azure Data Factory (ADF): this is a supported legacy technique that benefits from a replicated staging copy.
ADF pipeline consisting of two data migration processes. They work together to transfer data between a SQL Server database and an Azure SQL Database on a regular basis. The two actions are as follows:
Data should be copied from a SQL Server database to an Azure Blob Storage account
I have a need to load data into Azure Hyperscale incrementally.
Source data is in Azure VM that has SQL server installed in it.
Source database is about 6Tb in size and has about 370 tables.
We need a way to get incremental changes in the last X amount of hours and sync them into the same database in Hyperscale.
Ideally, we would extend our database with the availability group setup but since Hyperscale does not support that, we need to find a way to keep these in sync.
Source database does have change data capture enabled.
The best on-line migration option is to use the Azure Database Migration Service (link) where the Online (continuous sync) migration support scenario (link) you need is supported:
The sync will essentially run in the background until completed while being able to access the data that has been migrated. I believe this is a continuous copy scenario and is not incremental. With PaaS database services, you do not have access to perform snapshot replication operations from external data sources. The Hyperscale instance is built upon snapshot replication but it currently only serves the hosted database functionality.
Regards,
Mike
We are wanting to use Azure servers to run our Power Apps applications, however we have local SQL servers which contains our data warehouse we want only certain tables to be on Azure and want to create data feeds between the two with information going from one to the other.
Does anyone have any insight into how I can achieve this?
I have googled but there doesn't appear to be a wealth of information on this topic.
It depends on how fast after a change in your source (the on premise SQL Server) you need that change reflected in your Sink (Azure SQL).
If you have some minutes or even only need to update it every day I would suggest a basic Data Factory Pipeline (search on google for data factory upsert). Here it depends on your data on how you can achieve this.
If you need it faster or it is impossible to extract an incremental update from your source you would need to either use triggers and write the changes from one database to the other or get a program that does change data capture that does that.
It looks like you just want to sync the data in some table between local SQL Server and Azure SQL database.
You can use the Azure SQL Data Sync.
Summary：
SQL Data Sync is a service built on Azure SQL Database that lets you synchronize the data you select bi-directionally across multiple SQL databases and SQL Server instances.
With Data Sync, you can keep data synchronized between your on-premises databases and Azure SQL databases to enable hybrid applications.
A Sync Group has the following properties:
The Sync Schema describes which data is being synchronized.
The Sync Direction can be bi-directional or can flow in only one
direction. That is, the Sync Direction can be Hub to Member, or
Member to Hub, or both.
The Sync Interval describes how often synchronization occurs.
The Conflict Resolution Policy is a group level policy, which can be
Hub wins or Member wins.
Next step, you need to learn how to configure the Data Sync. Please reference this Azure document:Tutorial: Set up SQL Data Sync between Azure SQL Database and SQL Server on-premises.
In this tutorial, you learn how to set up Azure SQL Data Sync by creating a sync group that contains both Azure SQL Database and SQL Server instances. The sync group is custom configured and synchronizes on the schedule you set.
Hope this helps.
The most robust solution here is Transactional Replication. You can also use SSIS or Azure Data Factory for copying tables to/from Azure SQL Database. And Azure SQL Data Sync also exists.