Concepts
Introduction
When working with Microsoft Azure SQL Solutions, it is important to monitor and manage sessions effectively. Blocking occurs when one session holds a lock on a resource that another session needs, causing it to wait. This article will guide you through the process of identifying sessions that cause blocking in Azure SQL solutions. You will learn about various methods and techniques to detect and resolve blocking.
1. Monitoring Blocked Sessions
To identify blocking sessions, you need to actively monitor your Azure SQL solution. Follow these steps:
-
Use the
sys.dm_exec_requests
view to identify sessions that are currently blocked. Execute the following query:SELECT *
FROM sys.dm_exec_requests
WHERE blocking_session_id > 0; -
Analyze the results to identify the blocking session and the session(s) being blocked.
2. Gathering Session Details
Once you have identified the blocking session, gather more details about it using the sys.dm_exec_sessions
view. Execute the following query, replacing
with the actual identifier:
SELECT *
FROM sys.dm_exec_sessions
WHERE session_id =
This query will provide information about the blocking session, including login details and execution context.
3. Collecting Resource and Lock Information
To gain a deeper understanding of the resources being locked and the associated locks, utilize the sys.dm_tran_locks
view. Use the following query to select locks related to the blocking session:
SELECT *
FROM sys.dm_tran_locks
WHERE request_session_id =
This query will return information regarding the resources and locks associated with the blocking session.
4. Investigating Query Execution Plans
Query execution plans can shed light on the cause of blocking by identifying expensive queries or missing indexes. Follow these steps:
-
Capture the query plan of the blocking session using the query:
SELECT *
FROM sys.dm_exec_query_stats AS qs
CROSS APPLY sys.dm_exec_query_plan (qs.plan_handle) AS qp
WHERE qs.session_id =;
-
Analyze the execution plan for any inefficiencies, such as long-running queries or table scans. Consider optimizing these queries or adding missing indexes.
5. Resolving Blocking Issues
To resolve blocking, consider the following approaches:
-
Kill the blocking session using the
KILL
statement. Execute the query:KILL
;
Note: Killing a session forcefully may lead to data inconsistencies, so use this option with caution.
-
Identify and resolve the root cause of blocking. This may involve optimizing queries, redesigning data models, or restructuring transactional logic.
-
Implement appropriate isolation levels and locking hints in your queries to minimize blocking scenarios.
-
Consider implementing read replicas to offload read workloads and reduce contention.
Conclusion
Detecting and resolving blocking sessions is crucial for maintaining optimal performance in Azure SQL Solutions. By monitoring blocked sessions, gathering detailed information, analyzing execution plans, and applying appropriate resolution strategies, you can mitigate and prevent blocking issues. Strengthen your knowledge and skills in identifying sessions that cause blocking to excel in the Examining Administering Microsoft Azure SQL Solutions exam.
Answer the Questions in Comment Section
Which of the following sessions can cause blocking in Azure SQL Database?
a) Read-only transactions
b) Long-running queries
c) Locking large tables
d) All of the above
Correct answer: d) All of the above
True/False: Sessions executing DML statements cannot cause blocking in Azure SQL Database.
Correct answer: False
During an Azure SQL Database exam, a session that holds an exclusive lock on a table is called a __________.
a) Blocking session
b) Deadlock victim
c) Locking session
d) Deadlock initiator
Correct answer: a) Blocking session
Which of the following actions can be taken to address blocking in Azure SQL Database?
a) Use READ COMMITTED isolation level
b) Remove unnecessary indexes
c) Optimize query execution plans
d) All of the above
Correct answer: d) All of the above
True/False: Session-level parallelism can contribute to blocking in Azure SQL Database.
Correct answer: True
In Azure SQL Database, what is the default isolation level for transactions?
a) READ COMMITTED
b) READ UNCOMMITTED
c) REPEATABLE READ
d) SERIALIZABLE
Correct answer: a) READ COMMITTED
Which of the following statements about blocking in Azure SQL Database is true?
a) Blocking can occur between sessions from different databases within the same server.
b) Blocking can only occur between sessions from the same database.
c) Blocking can only occur between sessions that are executing the same query.
d) Blocking can only occur between sessions from different Azure SQL Database servers.
Correct answer: a) Blocking can occur between sessions from different databases within the same server.
True/False: Increasing the transaction timeout can help prevent blocking in Azure SQL Database.
Correct answer: False
Which of the following lock modes can contribute to blocking in Azure SQL Database?
a) Shared locks
b) Exclusive locks
c) Update locks
d) All of the above
Correct answer: d) All of the above
In Azure SQL Database, which system view can be used to identify blocking sessions?
a) sys.dm_tran_locks
b) sys.dm_exec_sessions
c) sys.dm_exec_requests
d) sys.dm_exec_connections
Correct answer: c) sys.dm_exec_requests
Great blog post on identifying sessions causing blocking for the DP-300 exam!
Can someone explain how to use DMVs to identify blocking sessions?
The post mentions Extended Events. Are they better than using Trace for this purpose?
I found the way to monitor blocking using Activity Monitor very useful!
Thanks, this will help a lot for my DP-300 preparation.
Is there any way to automate the detection of blocking sessions?
I think the article missed discussing the impact of indexing on blocking.
Thanks for the detailed insights on blocking sessions!