LCK_M_RX_S SQL Server Wait Type

Wait Type LCK_M_RX_S

The wait type LCK_M_RX_S is ranked #288 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 uses a system of locks to maintain data consistency and manage concurrent access to resources. Sometimes, these locks result in waits, such as the LCK_M_RX_S wait type. Understanding this wait type is key to identifying and resolving potential performance bottlenecks in your SQL Server environment.

What is LCK_M_RX_S?

The LCK_M_RX_S wait type occurs when a session is waiting to acquire a Range-Exclusive Shared (RX_S) lock. This type of lock is used for read operations on a range of data while ensuring that no other transaction can modify the data within that range. It allows shared access for reads but prevents modifications.

In simpler terms, this wait type indicates that SQL Server is pausing a read operation on a range of data to avoid conflicts with other transactions. While this lock ensures data integrity, excessive waits can signal resource contention or inefficiencies in your workload.

Why Does LCK_M_RX_S Happen?

Several factors can contribute to LCK_M_RX_S waits, including:

  • Long-running transactions holding incompatible locks on the same data range.
  • High contention for the same tables, rows, or partitions being accessed.
  • Inefficient queries or missing indexes, causing longer execution times and lock durations.
  • Concurrency challenges during peak usage, leading to overlapping operations on the same resource.
  • Heavy workloads involving frequent reads and writes to the same range of data.

Addressing these issues can help reduce contention and improve overall database performance.

How to Monitor LCK_M_RX_S Waits

Monitoring LCK_M_RX_S waits is essential for understanding their frequency and impact. The Database Health Monitor provides a robust solution for tracking this wait type. Its Historic Waits Monitoring feature allows you to see when these waits occur, how long they last, and their effect on your system’s performance.

Using Database Health Monitor, you can analyze patterns in these waits and determine whether they stem from inefficient queries, blocking chains, or resource contention. This data enables you to take targeted corrective actions to optimize your SQL Server environment.

What Can You Do About LCK_M_RX_S Waits?

If you notice frequent or prolonged LCK_M_RX_S waits, consider implementing these strategies:

  • Analyze blocking chains using tools like Extended Events or Activity Monitor to identify and address conflicting transactions.
  • Optimize queries to reduce execution time and minimize lock durations.
  • Ensure indexes are properly designed to improve query efficiency and reduce contention.
  • Partition large tables to limit the scope of range-based 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 intensive range-based operations, such as scans or reports, during off-peak hours to avoid conflicts with high-priority tasks.

These measures can help you reduce contention and ensure efficient operations in your SQL Server environment.

Why Use Database Health Monitor?

The Database Health Monitor is an essential tool for tracking SQL Server wait types, including LCK_M_RX_S. 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 smooth and effective 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_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_ABORT_BLOCKERS
    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_RX_S SQL Server Wait Type