LCK_M_RX_X SQL Server Wait Type

Wait Type LCK_M_RX_X

The wait type LCK_M_RX_X is ranked #119 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 locks to ensure data consistency and manage concurrency when multiple transactions occur simultaneously. One such lock type, LCK_M_RX_X, can cause waits under certain conditions. Understanding this wait type helps in diagnosing performance issues and improving the efficiency of your SQL Server environment.

What is LCK_M_RX_X?

The LCK_M_RX_X wait type occurs when a session is waiting to acquire a Range-Exclusive Exclusive (RX_X) lock. This type of lock is used during operations that modify a range of data while ensuring that no other transaction can read or modify the same data range. It provides the highest level of exclusivity for range-based operations to maintain data integrity.

In simpler terms, this wait type indicates that SQL Server is delaying a transaction that modifies a range of data to prevent conflicts with other transactions that might also need to access the same range.

Why Does LCK_M_RX_X Happen?

Several factors can contribute to LCK_M_RX_X waits, including:

  • Long-running transactions holding locks on the same range of data.
  • High contention for resources, such as specific tables or partitions.
  • Inefficient queries or missing indexes increasing the duration of locks.
  • Concurrency challenges during peak usage times, causing overlapping transactions.
  • Heavy workloads with frequent updates or deletes targeting the same data range.

Identifying and addressing these factors is key to reducing contention and improving database performance.

How to Monitor LCK_M_RX_X Waits

Monitoring LCK_M_RX_X waits is essential for understanding their frequency and impact. The Database Health Monitor is a valuable tool for tracking this wait type. Its Historic Waits Monitoring feature provides insights into when these waits occur, how long they last, and their impact on overall system performance.

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

What Can You Do About LCK_M_RX_X Waits?

If you encounter frequent or prolonged LCK_M_RX_X waits, consider these strategies:

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

Implementing these strategies 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_X. 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 effective and smooth 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_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_X SQL Server Wait Type