Microsoft SQL Server monitoring integration

Our Microsoft SQL Server integration collects and sends inventory and metrics from your MS SQL Server environment to our platform, where you can see the health of your MS SQL Server environment. We collect both database and instance-level metrics so that you can pinpoint the source of any problems.

Read on to install the integration, and to see what data we collect.

Compatibility and requirements

Our integration is compatible with Microsoft SQL Server 2008 R2 SP3 or higher.

Before installing the integration, make sure that you meet the following requirements:

Microsoft SQL users and privileges

In the Microsoft SQL Server that is to be monitored, execute the following script to create a new user and grant CONNECT, VIEW SERVER STATE, and read access permissions to that user.

See the Microsoft documentation for details on creating logins and users in Microsoft SQL Server.

The Microsoft SQL Server Integration currently only supports SQL Authentication.

  1. Use the following statements to create a new login and to grant CONNECT and VIEW SERVER STATE permissions to the login.
        USE master;
        CREATE LOGIN newrelic WITH PASSWORD = 'tmp_password'; --insert new password here
        GRANT CONNECT SQL TO newrelic;
        GRANT VIEW SERVER STATE TO newrelic;
  2. Use the following statements to grant read access privileges to the user.
        DECLARE @name SYSNAME
        DECLARE db_cursor CURSOR 
        FROM master.sys.databases
        WHERE NAME NOT IN ('master','msdb','tempdb','model','rdsadmin','distribution')
        OPEN db_cursor
        FETCH NEXT FROM db_cursor INTO @name WHILE @@FETCH_STATUS = 0
            EXECUTE('USE "' + @name + '"; CREATE USER newrelic FOR LOGIN newrelic;' );
            FETCH next FROM db_cursor INTO @name
        CLOSE db_cursor
        DEALLOCATE db_cursor
  3. Run the following command to verify that the user was successfully created.
        sqlcmd -U user_name -S host_name

Install and activate

To install the Microsoft SQL Server integration:

  1. Download the latest .MSI installer image from:

    32-bit Windows
    64-bit Windows
  2. In an admin account, run the install script using an absolute path.

    32-bit Windows
    msiexec.exe /qn /i PATH\TO\nri-mssql-amd386.msi
    64-bit Windows
    msiexec.exe /qn /i PATH\TO\nri-mssql-amd64.msi
  3. Rename C:\Program Files\New Relic\newrelic-infra\integrations.d\mssql-config.yml.sample to mssql-config.yml, and edit according to your instance.
  4. Restart the infrastructure agent.

Additional notes:

Configure the integration

An integration's YAML-format configuration is where you can place required login credentials and configure how data is collected. Which options you change depend on your setup and preference.

For an example configuration, see the example config file.

With secrets management, you can configure on-host integrations with New Relic Infrastructure's agent to use sensitive data (such as passwords) without having to write them as plain text into the integration's configuration file. For more information, see Secrets management.


The mssql-config.yml file accepts the following commands:

  • all_data: collects both inventory and metric data from the Microsoft SQL Server environment.


The all_data command accepts the following arguments:

  • username: username used to authenticate the MS SQL Server. To use Windows Authentication, specify this argument in the DOMAIN\username form. This field is required.

  • password: password used to authenticate the MS SQL Server. This field is required.

  • hostname: hostname or IP of the MS SQL Server installation. Default:

  • port: port number on which the MS SQL Server is listening. This is only required when instance is not specified.

  • instance: instance the Microsoft SQL Server is connected to. instance can be used in place of port by enabling SQL Browser; if enabled, do not include port in the argument.

  • enable_ssl: indicates whether SSL is used to connect to the MS SQL Server. Default: false.

  • trust_server_certificate: if set to true, server certificate is not verified for SSL. If set to false, certificate will be verified against supplied certificate.

  • certificate_location: certificate file to verify SSL encryption against.

  • timeout: timeout for queries, in seconds. Default: 30.

  • enable_buffer_metrics: enables the collection of buffer pool metrics. These can be resource intensive for large systems. Default: true.

  • enable_database_reserve_metrics: enables the collection of database partition reserve space. These can be resource intensive for large systems. Default: true.

  • custom_metrics_query: an SQL query with the required columns metric_name, metric_type, and metric_value. The metric_type can be gauge, rate, delta, or attribute. Additional columns collected with the query are added to the metric set as attributes.

If both port and instance are omitted, the default port of 1433 is used.

Example mssql-config.yml file configuration:

Configuration for one query
integration_name: com.newrelic.mssql

  - name: mssql-server
    command: all_data
      hostname: mssql.localnet
      username: mssql_user
      password: mssql_password
      port: 1433
      custom_metrics_query: >-
          'instance_buffer_pool_size' AS metric_name,
          Count_big(*) * (8*1024) AS metric_value,
          'gauge' as metric_type,
        FROM sys.dm_os_buffer_descriptors WITH (nolock)
        GROUP BY database_id
      env: production
      role: mssql
Configuration for multiple queries

If you need multiple SQL queries, add them to mssql-custom-query.yml, and then reference that file.

integration_name: com.newrelic.mssql

  - name: mssql-server
    command: all_data
      hostname: mssql.localnet
      username: mssql_user
      password: mssql_password
      port: 1433
      custom_metrics_config: full_path_to_file
      env: production
      role: mssql              

Here's an example mssql-custom-query.yml.

    # Example for metric_name / metric_type specified in this config
- query: SELECT count(*) AS 'metric_value' FROM sys.databases
  metric_name: dbCount
  metric_type: gauge
    # Example for metric_name from query, metric_type auto-detected, additional attribute 'category_type'
- query: SELECT CONCAT('category_', category_id) AS metric_name, name AS metric_value, category_type FROM syscategories
  database: msdb
    # Example for stored procedure 'exec dbo.sp_server_info @attribute_id = 2'
- query: dbo.sp_server_info @attribute_id = 2        

For more about the general structure of on-host integration configuration, see Configuration.

Find and use data

To find your integration data go to > Infrastructure > Third-party services and select one of the Microsoft SQL Server integration links.

Microsoft SQL Server data is attached to the following event types:

For more on how to find and use your data, see Understand integration data.

Metric data

The Microsoft SQL Server integration collects the following metric data attributes. Some metric name are prefixed with a category indicator and a period, such as asserts. or flush..

These attributes can be found by querying the MssqlDatabaseSample event.

Metric Description


The size of the buffer pool per database.


Wait time of stall since last restart, in milliseconds.


Total number of times the transaction log for the database has been expanded since the last restart.


Available page file size, in bytes.


Total page file size, in bytes.

The Microsoft SQL Server integration collects the following instance metrics. These attributes can be found by querying the MssqlInstanceSample event.

Metric Description


The number of page splits per second.


The number of active connections.


The ratio of data pages found and read from the buffer cache over all data page requests.


The number of pages flushed to disk per second by a checkpoint or other operation that require all dirty pages to be flushed.


The number of batch requests per second on the buffer pool.


The life expectancy of a page in the buffer pool, in milliseconds.


The size of the buffer pool, in bytes.


The number of background processes on the instance.


The number of blocked processes on the instance.


The amount of disk space on the instance, in bytes.


The number of dormant processes on the instance.


The number of forced parameterizations per second on the instance.


The number of preconnect processes on the instance.


The number of runnable processes on the instance.


The number of runnable tasks on the instance.


The number of running processes on the instance.


The number of sleeping processes on the instance.


The number of suspended processes on the instance.


The number of transactions per second on the instance.


The available physical memory, in bytes.


The total physical memory, in bytes.


The percentage of memory utilization.


The number of user connections.


The number of lock requests per second that resulted in a deadlock since the last restart.


The number of kill connection errors per second since the last restart.


The number of times per second that MS SQL Server is unable to retain a lock right away for a resource.


The number of MS SQL compilations per second.


The number of MS SQL re-compilations per second.


The number of user errors per second since the last restart.


The percentage of buffer pools hits on the instance.


The number of milliseconds per second spent waiting across the instance.

These attributes can be found by querying the MssqlWaitSample event.

Metric Description


Total wait time for this wait type, in milliseconds. This time is inclusive of signal_wait_time_ms.


The number of waits on this wait type, in milliseconds. This counter is incremented at the start of each wait.

Inventory data

The Microsoft SQL Server integration captures the configuration parameters and current settings of the Microsoft SQL Server environment. It collects the results of the sp_configure stored procedure, as well as current running configuration settings from the sys.configurations table.

The data is available on the Inventory page, under the config/mssql source. For more about inventory data, see Understand integration data.

Check the source code

This integration is open source software. That means you can browse its source code and send improvements, or create your own fork and build it.

For more help

If you need more help, check out these support and learning resources: