Azure SQL Query Wait Activity Test

This test monitors the wait types on the target Azure SQL database, and reports the number and duration of waits of each type.

Target of the test : A Microsoft Azure SQL database

Agent deploying the test : A remote agent

Outputs of the test : One set of results for each wait type on the target Azure SQL database

Configurable parameters for the test
Parameters	Description
Test Period	How often should the test be executed.
Host	The host for which the test is to be configured.
Port	The port at which the specified Host listens.
Database Name	Specify the name of the Azure SQL database that is to be monitored.
User Name and Password	Against the User Name and Password parameters, specify the credentials of the user who is vested with DBOWNER rights to the configured Database Name.
Confirm Password	Confirm the specified Password by retyping it here.
SSL	If the Azure SQL database service being monitored is SSL-enabled, then set the SSL flag to Yes. If not, then set the SSL flag to No.
Domain	By default, none is displayed in this text box. If the ‘SQL server and Windows’ authentication has been enabled for the Azure SQL database being monitored, then the Domain parameter can continue to be none. On the other hand, if ‘Windows only’ authentication has been enabled, then, in the Domain text box, specify the Windows domain in which the monitored database exists. Also, in such a case, the User Name and Password that you provide should be that of a 'domain user' with DBOWNER rights to the configured Database Name.
IS NTLMv2	In some Windows networks, NTLM (NT LAN Manager) may be enabled. NTLM is a suite of Microsoft security protocols that provides authentication, integrity, and confidentiality to users. NTLM version 2 (“NTLMv2”) was concocted to address the security issues present in NTLM. By default, this flag is set to No, indicating that NTLMv2 is not enabled by default for the target Microsoft Azure SQL database. Set this flag to Yes if NTLMv2 is enabled for the target database.
Exclude Info	By default, this is set to none, indicating that the test will monitor all the wait types active on the target Azure SQL database. To exclude specific wait types from the monitoring scope of this test, provide a comma-separated list of wait types in this text box.
DD Frequency	Refers to the frequency with which detailed diagnosis measures are to be generated for this test. The default is 1:1. This indicates that, by default, detailed measures will be generated every time the test runs, and also every time the test detects a problem. You can modify this frequency, if you so desire. Also, if you intend to disable the detailed diagnosis capability for this test, you can do so by specifying none against DD Frequency.
Detailed Diagnosis	To make diagnosis more efficient and accurate, the eG Enterprise embeds an optional detailed diagnostic capability. With this capability, the eG agents can be configured to run detailed, more elaborate tests as and when specific problems are detected. To enable the detailed diagnosis capability of this test for a particular server, choose the On option. To disable the capability, click on the Off option. The option to selectively enable/disable the detailed diagnosis capability will be available only if the following conditions are fulfilled: The eG manager license should allow the detailed diagnosis capability Both the normal and abnormal frequencies configured for the detailed diagnosis measures should not be 0.

Measurements made by the test
Measurement	Description	Measurement Unit	Interpretation
Number of waits	Indicates the total number of waits for this wait type.	Number	The detailed diagnosis of this measure provides the query that caused the waits; you may want to fine-tune the queries to reduce the number of waits.
Avg wait time	Indicates the average wait time for this wait type.	Seconds	Ideally, the value for this measure should be low. If the value for this measure is high, use the detailed diagnosis of the Num of waits measure to identify the queries that are causing the waits to remain for a long time. You may want to fine-tune the queries to reduce wait time.
Max wait time	Indicates the maximum wait time for this wait type.	Seconds	Comparing the value of this measure across wait types will enable you to accurately isolate the wait type that is responsible for the longest waits.