LCK_M_SIU SQL Server Wait Type

Wait Type LCK_M_SIU

The wait type LCK_M_SIU is ranked #176 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 locking mechanisms to manage concurrency and ensure data consistency during transactions. One such lock, the LCK_M_SIU, can lead to waits under specific conditions. Understanding this wait type is essential for diagnosing and addressing performance bottlenecks in your SQL Server environment.

What is LCK_M_SIU?

The LCK_M_SIU wait type occurs when a session is waiting to acquire a Shared with Intent Update (SIU) lock. This lock is used during operations that involve reading data while preparing to update or modify it later in the transaction. The SIU lock ensures that no other transaction modifies the data being read, while still allowing other read operations to occur.

In simpler terms, this wait type means SQL Server is pausing an operation to maintain consistency when a transaction reads data it intends to update. While some waiting is normal, excessive waits may indicate resource contention or inefficiencies in your workload.

Why Does LCK_M_SIU Happen?

Several factors can lead to LCK_M_SIU waits, including:

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

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

How to Monitor LCK_M_SIU Waits

Monitoring LCK_M_SIU waits is critical for identifying 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 duration, and their effect on your SQL Server environment.

With Database Health Monitor, you can analyze patterns in these waits and determine whether they result from blocking chains, inefficient queries, or resource contention. This data allows you to take targeted corrective actions to optimize your database operations.

What Can You Do About LCK_M_SIU Waits?

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

  • Analyze and resolve blocking chains using tools like Activity Monitor or Extended Events to identify conflicting transactions.
  • Optimize queries to reduce 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 and update operations into smaller, more manageable tasks.
  • Adjust transaction isolation levels to balance concurrency and data consistency requirements for your workload.
  • Schedule intensive operations during off-peak hours to minimize conflicts with critical tasks.

Implementing these strategies can help reduce contention and ensure efficient 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_SIU. 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_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_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_SIU SQL Server Wait Type