I cannot see the serverless sql pool datababases or tables on the data tab in synapse.
Dedicated sql pool & spark pool are visible.
Is this by design or am i missing something?
Yes, it's by design.
Under Data Tab you can browse Dedicated SQL pools and Spark pools.
Related
We are currently extracting multiple tables from Azure SQL Servereless pool in Synapse. Unlike a regular Azure SQL Database it is very easy to increase the performance from Basic all the way through to Premium or Business continuity.
Can someone let me know how to go about increasing the performance of Azure SQL Serverles Pool in synapse?
Serverless SQL pool is a distributed data processing system and it doesn't have any inbuilt storage to store data. It uses external table to query the data from Azure data lake storage. Therefore, data cannot be copied to the serverless SQL pool. If data needs to be extracted from serverless SQL pool, you can extract data directly from the underlying external storage. If the target datastore supports polybase data loading, use that to load to the target table from ADLS.
Currently exploring using Spark notebooks in Synapse for data transformation instead of data flows but the lake db capabilities are a little confusing.
I created a lake db, an external table (catalog?) and a view using a notebook in Synapse Workspace. The view is visible in the Synapse UI and I can query it.
But the view is not available when connecting via the SQL pool using management or data studio for example. Are only table meta data shared, or am I missing something? Having trouble finding documentation regarding this.
But the view is not available when connecting via the SQL pool using management or data studio for example. Is this intended, or am I missing something?
The Serverless SQL Pool and the Spark Pool share a catalog, but the Dedicated SQL Pool has its own.
Spark views are session (temp views) or app (global views) scoped and do not belong in the catalog. That is the reason you don't see views.
I try to use Serverless Sql Pool Integration dataset in Azure Analitycs DataFlow as a source but I can't. SQL Pool is unavailable as a Source in DataFlow, but I don't know why?
What is a problem? I use SQL Pool datasets in Azure Synapse Pipelines and it works. Is it problem with my licence, version or maybe I do something wrong?
Have you tried selecting Synapse Dataset instead of SQL
You will need a Synapse Linked Service as well
I have question regarding SQL Pool. Not sure i understood what it is. Does SQL Pool service is the service for SQL Server type databases? I have Postgres database and consider to move it to Azure nevertheless what is there any usage of SQL Pool service in case of Azure Postgres or it's only for Azure SQL Server database? Last: Does SQL Pool also used by Synapse ETL?
Azure SQL Pool is used with Azure Synapse Analytics to query Big Data. You can consider it as a Data Warehouse. Once your dedicated SQL pool is created, you can import big data with simple PolyBase T-SQL queries, and then use the power of the distributed query engine to run high-performance analytics.
How SQL Pool works? In a cloud data solution, data is ingested into big data stores from a variety of sources. Once in a big data store, Hadoop, Spark, and machine learning algorithms prepare and train the data. When the data is ready for complex analysis, dedicated SQL pool uses PolyBase to query the big data stores. PolyBase uses standard T-SQL queries to bring the data into dedicated SQL pool tables.
No, PostgreSQL can't be used in SQL Pool. There is actually no link between these two services. If you want to migrate the on-premises PostgreSQL to Azure, you can use Azure Database for PostgreSQL. Check Tutorial: Migrate PostgreSQL to Azure DB for PostgreSQL online using DMS via the Azure CLI.
Fast question:
Is it possible to have an Elastic Pool in Azure with Azure SQL Databases and MySQL databases?
Or in alternative an Elastic Pool made of Managed Instance and MySQL databases?
Thank you #Francesco Mantovani. For now Lets post the answer that we have for now. Once you have your article ready, you can still post it as additional answer here.
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Cut from https://dba.stackexchange.com/questions/279553/azure-elastic-pool-is-it-supported-for-mysql
Azure DB for MySQL is similar as Azure SQL DB Elastic pool or Azure SQL DB managed instance.
With Azure DB for MySQL server, we can create one or multiple DBs. We
can >
Create a single DB per server to use all the resources or
Create multiple databases to share the resources. The pricing is structured per-server, based on the configuration of pricing tier,
vCores, and storage (GB).
Reference : https://learn.microsoft.com/en-us/azure/mysql/concepts-servers
Similarly in Azure SQL DB Elastic Pool
Azure SQL DB elastic pools are cost-effective solution for managing
and scaling multiple databases that have varying and unpredictable
usage demands. The DBs in an elastic pool are on a single server and
share a set number of resources at a set price. Elastic pools in Azure
SQL DB enable SaaS developers to optimize the price performance for a
group of databases within a prescribed budget while delivering
performance elasticity for each database.
Reference : https://learn.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview
Only Azure SQL DB has the feature to have multiple databases with separate physical resources in the same logical server.
In Azure DBs for MySQL, If you wish to have two DBs with their own dedicated resources, you need to have two separate Azure DBs for MySQL Servers.
I totally agree with MadhurajVadde-MT:
In Azure DBs for MySQL, If you wish to have two DBs with their own
dedicated resources, you need to have two separate Azure DBs for MySQL
Servers.
It might sound ridiculous but all Azure OSS servers are made to store several databases by default:
https://www.jeeja.biz/2021/08/26/lets-get-confused-azure-database-for-mysql-mariadb-postgresql-part-2/
You kinda have Elastic Pool by default.