LCK_M_S_ABORT_BLOCKERS SQL Server Wait Type

Wait Type LCK_M_S_ABORT_BLOCKERS

The wait type LCK_M_S_ABORT_BLOCKERS is ranked #137 by Stedman Solutions and Database Health Monitor.

Wait statistics, in the context of SQL Server, refer to the amount of time that a query spends waiting to access data in the database. When a client application requests data from the database, the request is placed in a queue and the client application must wait for its turn to access the data. The time that the query spends waiting is called a "wait" and is tracked by SQL Server. This information can be used to identify potential performance bottlenecks and optimize the performance of the database. Wait statistics are commonly used by database administrators to diagnose and troubleshoot performance issues in SQL Server.


SQL Server employs locking mechanisms to ensure data consistency and manage concurrent transactions effectively. Occasionally, locks can lead to waits, such as the LCK_M_S_ABORT_BLOCKERS wait type. Understanding this wait type can help you resolve blocking issues and maintain optimal performance in your SQL Server environment.

What is LCK_M_S_ABORT_BLOCKERS?

The LCK_M_S_ABORT_BLOCKERS wait type occurs when a session is waiting to acquire a Shared (S) lock but is blocked by another transaction. A Shared lock allows multiple transactions to read the same data but prevents data modification. The “Abort Blockers” aspect means that SQL Server must wait for the blocking transactions to either complete or be aborted before it can grant the lock.

In simpler terms, this wait type indicates that SQL Server is pausing a read operation to prevent conflicts with other transactions that are holding incompatible locks on the same resource.

Why Does LCK_M_S_ABORT_BLOCKERS Happen?

Several factors can lead to LCK_M_S_ABORT_BLOCKERS waits, including:

  • Long-running transactions holding locks on the data being read.
  • High contention for specific rows, tables, or partitions involved in the operation.
  • Inefficient queries or missing indexes, leading to prolonged lock durations.
  • Concurrency challenges during peak usage, causing overlapping transactions.
  • Heavy workloads involving frequent reads and writes to the same data.

Addressing these factors can help minimize contention and improve overall database performance.

How to Monitor LCK_M_S_ABORT_BLOCKERS Waits

Monitoring LCK_M_S_ABORT_BLOCKERS waits is critical for understanding their root causes and mitigating their impact. The Database Health Monitor is an excellent tool for tracking this wait type. Its Historic Waits Monitoring feature provides insights into when these waits occur, their frequency, and their effect on overall system performance.

With Database Health Monitor, you can analyze patterns in these waits and determine whether they are caused by blocking chains, inefficient queries, or resource contention. This allows you to take targeted corrective actions to optimize your SQL Server environment.

What Can You Do About LCK_M_S_ABORT_BLOCKERS Waits?

If you encounter frequent or prolonged LCK_M_S_ABORT_BLOCKERS waits, consider implementing the following strategies:

  • Analyze blocking chains using tools like Extended Events or Activity Monitor to identify and address conflicting transactions.
  • Optimize queries to minimize execution time and lock durations.
  • Ensure indexes are well-designed to improve query performance and reduce contention.
  • Partition large tables to limit the scope of locks and reduce conflicts.
  • Break long-running read operations into smaller tasks to lower blocking potential.
  • Adjust transaction isolation levels to balance concurrency and data consistency requirements for your workload.
  • Schedule read-heavy operations during off-peak hours to avoid conflicts with critical tasks.

These steps can help reduce contention and ensure smooth operations in your SQL Server environment.

Why Use Database Health Monitor?

The Database Health Monitor is a powerful tool for tracking SQL Server wait types, including LCK_M_S_ABORT_BLOCKERS. Its Historic Waits Monitoring feature provides actionable insights into wait trends, helping you identify and resolve performance bottlenecks. With Database Health Monitor, you can maintain a high-performing and reliable SQL Server environment.

Start using Database Health Monitor today to monitor and optimize your SQL Server’s performance, ensuring reliable and efficient database operations!


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Applies to

    Related Waits

    LCK_M_BU
    LCK_M_BU_ABORT_BLOCKERS
    LCK_M_BU_LOW_PRIORITY
    LCK_M_IS
    LCK_M_IS_ABORT_BLOCKERS
    LCK_M_IS_LOW_PRIORITY
    LCK_M_IU
    LCK_M_IU_ABORT_BLOCKERS
    LCK_M_IU_LOW_PRIORITY
    LCK_M_IX
    LCK_M_IX_ABORT_BLOCKERS
    LCK_M_IX_LOW_PRIORITY
    LCK_M_RIn_NL
    LCK_M_RIn_NL_ABORT_BLOCKERS
    LCK_M_RIn_NL_LOW_PRIORITY
    LCK_M_RIn_S
    LCK_M_RIn_S_ABORT_BLOCKERS
    LCK_M_RIn_S_LOW_PRIORITY
    LCK_M_RIn_U
    LCK_M_RIn_U_ABORT_BLOCKERS
    LCK_M_RIn_U_LOW_PRIORITY
    LCK_M_RIn_X
    LCK_M_RIn_X_ABORT_BLOCKERS
    LCK_M_RIn_X_LOW_PRIORITY
    LCK_M_RS_S
    LCK_M_RS_S_ABORT_BLOCKERS
    LCK_M_RS_S_LOW_PRIORITY
    LCK_M_RS_U
    LCK_M_RS_U_ABORT_BLOCKERS
    LCK_M_RS_U_LOW_PRIORITY
    LCK_M_RX_S
    LCK_M_RX_S_ABORT_BLOCKERS
    LCK_M_RX_S_LOW_PRIORITY
    LCK_M_RX_U
    LCK_M_RX_U_ABORT_BLOCKERS
    LCK_M_RX_U_LOW_PRIORITY
    LCK_M_RX_X
    LCK_M_RX_X_ABORT_BLOCKERS
    LCK_M_RX_X_LOW_PRIORITY
    LCK_M_S
    LCK_M_S_LOW_PRIORITY
    LCK_M_SCH_M
    LCK_M_SCH_M_ABORT_BLOCKERS
    LCK_M_SCH_M_LOW_PRIORITY
    LCK_M_SCH_S
    LCK_M_SCH_S_ABORT_BLOCKERS
    LCK_M_SCH_S_LOW_PRIORITY
    LCK_M_SIU
    LCK_M_SIU_ABORT_BLOCKERS
    LCK_M_SIU_LOW_PRIORITY
    LCK_M_SIX
    LCK_M_SIX_ABORT_BLOCKERS
    LCK_M_SIX_LOW_PRIORITY
    LCK_M_U
    LCK_M_U_ABORT_BLOCKERS
    LCK_M_U_LOW_PRIORITY
    LCK_M_UIX
    LCK_M_UIX_ABORT_BLOCKERS
    LCK_M_UIX_LOW_PRIORITY
    LCK_M_X
    LCK_M_X_ABORT_BLOCKERS
    LCK_M_X_LOW_PRIORITY

    See Also


    All Wait Types
    LCK_M_S_ABORT_BLOCKERS SQL Server Wait Type