Exam DP203 SQL Management

SQL Pool management

In SQL pools, the unit of scale is an abstraction of compute power that is known as a DWU - data warehouse unit

You can scale a Synapse SQL dedicated pool through:

1. Azure portal (click on Scale, then drag a slider)
2. Synapse Studio (also right-click- scale + slider)
3. TSQL: ALTER DATABASE mySampleDataWarehouse MODIFY (SERVICE_OBJECTIVE = 'DW300c')
4. PowerShell: Set-AzSqlDatabase -ResourceGroupName "resourcegroupname" -DatabaseName "mySampleDataWarehouse" -ServerName "sqlpoolservername" -RequestedServiceObjectiveName "DW300c"

Spark Pools

To do the same with Spark pools, you can click "Scale" in Synapse Studio.

Spark Pool Autoscale

"Auto Scale Settings" in the Azure portal, or "scale" in Synapse Studio.

AutoScale collects the following metrics as it runs:

Total Pending CPU	The total number of cores required to start execution of all pending nodes.
Total Pending Memory	The total memory (in MB) required to start execution of all pending nodes.
Total Free CPU	The sum of all unused cores on the active nodes.
Total Free Memory	The sum of unused memory (in MB) on the active nodes.
Used Memory per Node	The load on a node. A node on which 10 GB of memory is used, is considered under more load than a worker with 2 GB of used memory.

The following conditions will then autoscale the memory or CPU:

Scale-up	Scale-down
Total pending CPU is greater than total free CPU for more than 1 minute.	Total pending CPU is less than total free CPU for more than 2 minutes.
Total pending memory is greater than total free memory for more than 1 minute.	Total pending memory is less than total free memory for more than 2 minutes.

Fundamentally, scale up and down occur when the pending (required) CPU and memory is too small or too large compared with the free memory.

Pool pausing

To save money, pause SQL pools and Spark pools that are not being used. This can be done in Synapse Studio for both SQL and Spark pools, or in the portal for SQL pools. Or you can set up autopause to pause after 15 minutes of idleness.

Workload prioritization

You can set the following properties on workloads, in order to allow the system to choose which ones to prioritize if there is more than one running at the time:

• Workload Classification
• Workload Importance
• Workload Isolation

To apply a Workload Classifier, run:

CREATE WORKLOAD CLASSIFIER CEO
  WITH (WORKLOAD_GROUP = 'largerc'
  ,MEMBERNAME = 'asa.sql.workload01',IMPORTANCE = High);

This creates classifier "CEO" that applies to login "asa.sql.workload01", giving queries run by this login a high importance.