ASYNC_NETWORK_IO Wait

Understanding the ASYNC_NETWORK_IO Wait Type in SQL Server

The ASYNC_NETWORK_IO wait type in SQL Server occurs when the server is waiting for the client application to process data before it can send more results. This wait type is usually an indication that the client is not able to keep up with the rate at which SQL Server is sending data, causing a bottleneck in data transmission.


What Causes ASYNC_NETWORK_IO Waits?

Network issues can contribute to ASYNC_NETWORK_IO wait, the primary cause is usually the client application itself. Here are the most common reasons for this wait type:

  1. Slow Client Processing
    The client application may not be processing the incoming data fast enough. This often happens when the application processes rows one by one instead of letting SQL Server handle filtering, joining, and aggregating data more efficiently.
  2. Large Result Sets
    Queries giving big result sets can overwhelm the client, especially if it’s not meant for large data in a single batch. SQL Server is ready to send more data, but it has to wait for the client to finish processing.
  3. Microsoft Access as a Client
    Applications like Microsoft Access often cause excessive ASYNC_NETWORK_IO waits by retrieving more data than necessary, such as entire tables instead of just the needed records.
  4. Network Latency
    A slow or congested network can contribute to ASYNC_NETWORK_IO waits by delaying data transmission between SQL Server and the client.

How to Troubleshoot and Fix ASYNC_NETWORK_IO Waits

If you’re seeing ASYNC_NETWORK_IO waits, here are some steps to help diagnose and resolve the issue:

  1. Optimize the Client Application
    The primary fix for this wait type is optimizing how the client application processes data. Instead of fetching large result sets and processing them row by row, push more work to SQL Server. This includes:
    • Using set-based operations: Let SQL Server handle filtering, joining, and aggregations.
    • Paging results: If the application needs to display large data sets, implement paging so it only fetches a portion of the results at a time, rather than all at once.
  2. Check the Network
    If the client and server are in different locations or over a slow connection, network latency may be contributing to the issue. While this is less common, it’s worth verifying that:
    • Network Interface Cards (NICs) on both the server and client are correctly configured (firmware up-to-date, full duplex mode, etc.).
    • There is no congestion or packet loss on the network that might delay data transmission.
  3. Reboot the Client Application
    The client application (or the web server if it’s a web-based app) may simply need a reboot. Resource exhaustion, such as running low on available memory, could prevent the application from processing data efficiently.
  4. Monitor the Client’s Resource Usage
    Ensure that the client application has enough available memory and processing power to handle the incoming data from SQL Server. Low memory on the client can cause slowdowns in how quickly it processes data, leading to ASYNC_NETWORK_IO waits.
  5. Review SQL Queries
    If the queries being executed return large result sets, review them for opportunities to reduce the data being transmitted. Can the result set be reduced by more efficient filtering? Are there any unnecessary columns being returned? Can complex joins or aggregations be handled on the server side instead of by the client?

Example: Microsoft Access and ASYNC_NETWORK_IO

One of the most common offenders causing ASYNC_NETWORK_IO waits is Microsoft Access. Access sometimes pulls down excessive amounts of data from SQL Server, especially when it retrieves large lists or tables in their entirety rather than only the records needed at the moment. This can result in SQL Server waiting for Access to finish processing, creating a bottleneck.

To address this, ensure that queries originating from Access are limited to the necessary data. This can be achieved by:

  • Using parameterized queries to only retrieve the required data.
  • Implementing paging mechanisms for large result sets.

Conclusion

The ASYNC_NETWORK_IO wait type signals that SQL Server is ready to send more data but is waiting for the client to process what it has already received. In most cases, this points to the client application as the primary bottleneck, though slow networks can occasionally contribute to the issue.

To resolve this, focus on optimizing the client application to handle data more efficiently, minimizing large result sets, and ensuring the network and client resources are sufficient for smooth data transfer.

By keeping an eye on your wait statistics and optimizing data transmission between SQL Server and client applications, you can minimize ASYNC_NETWORK_IO waits and improve overall system performance. If you’re struggling to identify the cause or need expert assistance, consider Stedman Solutions’ SQL Server Managed Services for ongoing monitoring, tuning, and performance optimization. Learn more at DatabaseHealth.com.

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