I have a backup file of an mssql database using which I would like to create a database in Azure SQL.I see option for restoring a database in azure. But I dont find an option to create a database in Azure SQL from an external backup file.kindly advise.
The data import steps might not be same as how we restore an on premise sql database.
The Data can easily be restored from a azure backup in azure portal ( just import it into a new sql db).
For migrating an on-premise sql database to azure sql database Microsoft provides a tool DMA (Data Migration Assistant). This tool provides a wizard based step by step approach to connect to your on-premise sql database source , select the objects to migrate , generate a script , follow the migration progress and errors if any during the process.
A few changes might be required post migration in the Azure sql database to update the pricing tier , performance and compatibility level.
Here is a document demonstrating a step by step process to migrate an on-premise sql database to azure sql database - https://learn.microsoft.com/en-us/azure/sql-database/sql-database-migrate-your-sql-server-database
Related
Is there a way to directly migrate your database in Azure SQL database to the Azure PostgreSQL database (HyperScale-Citus).
I have looked into the Azure migration services but it does not support this particular migration route.
I have an approach in mind but don't know if it will work?
We can make a backup of the Azure SQL database on the cloud itself
and then load that backup to Azure PostgreSQL database
But I do not where to make a backup. In azure blob storage or something else?
Frist way, you could try the tutorial #ffffff01 provided for you.
There this another way can help you achieve that: Data Factory can help you migrate the database/data from Azure SQL database to Azure PostgreSQL database directly.
Ref bellow tutorial:
Copy data to and from Azure Database for PostgreSQL by using Azure
Data Factory
Copy and transform data in Azure SQL Database by using Azure Data
Factory
Create Azure SQL database as source dataset and Azure PostgreSQL database as sink.
Hope this helps.
IN my scenario need to take azure sql database backup and restore in another azure sql database server.I have done it using Export and Import . But i need to take the backup of users from one DB to another with permissions.
You can use the script for creating a script that can be run on the exported/imported database to create users. Here is the script -
https://dba.stackexchange.com/questions/190475/scripting-out-database-user-level-permissions
If the need is to move the On premises Logins to Azure SQL DB:There is a utility to move On-Premises SQL Server Logins to Azure SQL DB.
This scenario is documented in the Data Migration Assistant guide
Hope this helps.
Thanks
Navtej S
Has anyone used SSMS v18.2 or Azure Data Studio to connect to a DataBricks Cluster and so query on DataBricks tables and/or the DataBricks File System (dbfs)?
Would like to know how you can set this up to show a DataBricks server in connections and use PolyBase to connect to dbfs
I can connect to ADLS using the PolyBase commands like as follows:
-- Scoped Credential
CREATE DATABASE SCOPED CREDENTIAL myScopedCredential
WITH
IDENTITY = '<MyId>#https://login.microsoftonline.com/<Id2>/oauth2/token',
SECRET = '<MySecret>';
-- External Data Source
CREATE EXTERNAL DATA SOURCE myDataSource
WITH
(
TYPE = HADOOP,
LOCATION = 'adl://mydatalakeserver.azuredatalakestore.net',
CREDENTIAL = myScopedCredential
)
-- Something similar to setup for dbfs?
-- What IDENTITY used for Scoped Credential?
As per my knowledge, Azure Databrick cannot be connect to SQL Server 2019 using SSMS or Azure Data Studio.
The following list provides the data sources in Azure that you can use with Azure Databricks. For a complete list of data sources that can be used with Azure Databricks, see Data sources for Azure Databricks.
The Spark connector for Microsoft SQL Server and Azure SQL Database enables Microsoft SQL Server and Azure SQL Database to act as input data sources and output data sinks for Spark jobs. It allows you to use real- time transactional data in big data analytics and persist results for ad-hoc queries or reporting.
For more details, refer "Connecting to Microsoft SQL Server and Azure SQL database with Spark connector".
Hope this helps.
This doesn't seem possible without the use of 3rd party tools or custom applications. Databricks SQL just doesn't expose the protocols necessary.
There are 3rd party tools (e.g. from CData) that can help you here. See this article: https://www.cdata.com/kb/tech/databricks-odbc-linked-server.rst
We're in the process of a server migration from an on-prem server (Win2008R2) to Azure PaaS.
To move the DBs, we used the Microsoft Data Migration Assistant (DMA) tool, which worked great and we can connect to the migrated Azure DB via SQL Server Management Studio.
Considering:
Made quite a few changes to the migrated Azure DB (tables, stored procedures, indexes) to work with the apps in Azure
Combined multiple on-prem DBs into one DB in Azure via DMA to save costs
On-prem DB is continually being modified by insert/update operations (multiple tables) during the migration process
Question: what is the best and fastest way to migrate data (all vs missing/updated) considering the above?
I would recommend you to migrate first only the schema of your on-premises databases to Azure SQL Databases and then let Azure SQL Data Sync to migrate the data to Azure and keep it updated on Azure SQL Database.
My suggestion to start with an empty schema on the Azure SQL Database side is because when SQL data Sync finds data on-premises and on Azure it start comparing both databases and that consumes a lot of resources.
On the initial sync SQL Data Sync may consume a lot of resources on the on-premises database server even when having an empty schema on the Azure side, for that you can use SQL Server Resource Governor to cap the CPU used by the data sync sessions in your on premises SQL Server, and this way avoid big performance impact possibly affecting database users.
When you are ready, you can switch your users (gradually or not if SQL Data Sync is on bi-directional mode) to Azure. Once your users have been migrated, you can then remove the member database (the on-premises database) from the SQL Data Sync configuration and stop SQL Data Sync operation.
I disagree with all the answers here.
If you are running on Win2008R2 there is a high chance that you are on an old SQL Server (2008? 2012?) which are both deprecated and unsuitable for Azure SQL Database. And probably the application is also old and not suitable for the Cloud in general. I suggest you a good testing phase.
Here my to do list:
Upgrade SQL Server to SQL Server 2016 on-prem and test if all your queries are still running correctly
Test how ready is your SQL Server to go to Azure SQL Database through Microsoft Data Migration Assistant (DMA) tool or the new Azure SQL Migration extension for Azure Data Studio (came out his month).
Don even think for a second that merging databases will reduce your overall costs. Decide if going multi-tenant or single-tanant not because of the price of the database.
Plan for hours of downtime based on the size of the migration. Don't migrate while your database is modified. Expect downtime. The best way is to take a backup of the day before and then resume the logs.
and test like crazy. This is not gonna be easy because the app is old.
Good luck.
Visual Studio also has a great tool for comparing both schema and data between two databases on different servers.
It can then update the target database with any changes after which you can switch over to use the Azure DB.
This method would require downtime of around 5-30 minutes depending on amount of data, but that might be acceptible depending on your requirements.
I have migrated my database schema to SQL Azure, but I have huge(millions) data records to be migrated please suggest me an approach to move data
Approaches I have tried.
SQLAzureMW tool (but it takes 14 hours time, its not feasible for me)
Import export on SQL server(even this is taking time)
Any other approaches ..need help..!!
For large datasets you usually have to take a more imaginative approach to migration!
One possible approach is to take a full data backup. Ensuring that transaction logs are committed and cleared at the same time.
upload, or use Azure Import / Export to get the backup into Azure blob storage
syncronise your transaction logs with Azure blob storage
Create an Azure SQL database, import backup
replay transaction logs
Keep in sync with transaction logs until you are ready to switch over.
If 14 hours using SQLAzure Migration Wizard and your database is Azure compatible, you have 4 other choices:
export locally to BACPAC, upload BACPAC to Azure, and import BACPAC to Azure
export BACPAC directly to Azure and then import BACPAC to Azure
Use SSMS migration wizard with the most recent version of SSMS (includes a number of functional and performance enhancements)
Use SQL Server transaction replication - see additional requirements for this option. This last option enables you to incrementally migrate to SQL DB and then when SQL DB is current with your on-premise database, just cut your application(s) over to SQL DB with minimal downtime
For more information, see https://azure.microsoft.com/en-us/documentation/articles/sql-database-cloud-migrate/#options-to-migrate-a-compatible-database-to-azure-sql-database