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Resolve Out Of Memory issues

  • Article
  • viii minutes to read

Applies to: yesSQL Server (all supported versions)

SQL Server In-Memory OLTP uses more retentivity and in different means than does SQL Server. It is possible that the corporeality of memory you installed and allocated for In-Memory OLTP becomes inadequate for your growing needs. If so, you could run out of memory. This topic covers how to recover from an OOM situation. See Monitor and Troubleshoot Retentivity Usage for guidance that tin help you avoid many OOM situations.

Covered in this topic

Topic Overview
Resolve database restore failures due to OOM What to do if you get the error bulletin, "Restore operation failed for database '<databaseName>' due to insufficient memory in the resources pool '<resourcePoolName>'."
Resolve impact of low memory or OOM conditions on the workload What to do if you notice depression memory issues are negatively impacting performance.
Resolve page allocation failures due to insufficient retentivity when sufficient memory is bachelor What to practice if y'all get the mistake bulletin, "Disallowing page allocations for database '<databaseName>' due to insufficient memory in the resources pool '<resourcePoolName>'. ..." when available memory is sufficient for the operation.
Best Practices using In-Retentiveness OLTP in a VM surround What to continue in mind when using In-Memory OLTP in a virtualized surround.

Resolve database restore failures due to OOM

When y'all endeavour to restore a database yous may get the error message: "Restore functioning failed for database '<databaseName>' due to insufficient memory in the resource pool '<resourcePoolName>'." This indicates that the server does not have enough available memory for restoring the database.

The server you restore a database to must have enough available retention for the retention-optimized tables in the database backup, otherwise the database will non come up online, and volition be marked as suspect.

If the server does have plenty physical memory, only you are however seeing this error, it could be that other processes are using also much retentiveness or a configuration issue causes not enough retentivity to be available for restore. For this class of issues, utilise the following measures to make more than memory bachelor to the restore operation:

  • Temporarily close running applications.
    By closing i or more running applications or stopping services not needed at the moment, yous brand the memory they were using available for the restore operation. You can restart them post-obit the successful restore.

  • Increase the value of MAX_MEMORY_PERCENT.
    If the database is bound to a resources pool, which is best practise, the memory available to restore is governed past MAX_MEMORY_PERCENT. If the value is too low, restore volition neglect. This code snippet changes MAX_MEMORY_PERCENT for the resource pool PoolHk to 70% of installed memory.

    Important

    If the server is running on a VM and is not defended, ready the value of MIN_MEMORY_PERCENT to the same value as MAX_MEMORY_PERCENT.
    See the topic Best Practices using In-Memory OLTP in a VM environment for more information.

                      -- disable resources governor   Change RESOURCE GOVERNOR DISABLE    -- change the value of MAX_MEMORY_PERCENT   Alter RESOURCE Pool PoolHk   WITH        ( MAX_MEMORY_PERCENT = 70 )   GO    -- reconfigure the Resources Governor   --    RECONFIGURE enables resource governor   ALTER Resources GOVERNOR RECONFIGURE   Become

    For information on maximum values for MAX_MEMORY_PERCENT see the topic section Per centum of memory available for memory-optimized tables and indexes.

  • Increase max server retention.
    For information on configuring max server retention run into the topic Server Memory Server Configuration Options.

Resolve impact of low memory or OOM conditions on the workload

Obviously, it is best to non become into a low retentiveness or OOM (Out of Memory) situation. Good planning and monitoring can help avoid OOM situations. Still, the all-time planning does non always foresee what actually happens and you might end up with low memory or OOM. There are two steps to recovering from OOM:

  1. Open a DAC (Dedicated Administrator Connection)

  2. Have corrective activity

Open a DAC (Defended Administrator Connectedness)

SQL Server provides a dedicated administrator connection (DAC). The DAC allows an administrator to access a running instance of SQL Server Database Engine to troubleshoot problems on the server-fifty-fifty when the server is unresponsive to other client connections. The DAC is available through the sqlcmd utility and SQL Server Management Studio.

For guidance on using DAC through SSMS or sqlcmd, refer to Diagnostic Connection for Database Administrators.

Take corrective action

To resolve your OOM condition you need to either complimentary upwards existing retention by reducing usage, or make more than memory available to your in-retentiveness tables.

Gratuitous upwards existing retention

Delete not-essential memory optimized table rows and wait for garbage collection

You can remove non-essential rows from a memory optimized table. The garbage collector returns the retentiveness used by these rows to available retentivity. In-memory OLTP engine collects garbage rows aggressively. Notwithstanding, a long running transaction can forestall garbage collection. For example, if you accept a transaction that runs for five minutes, whatever row versions created due to update/delete operations while the transaction was active can't be garbage collected.

Motility 1 or more rows to a deejay-based table

The post-obit TechNet articles provide guidance on moving rows from a retention-optimized table to a disk-based table.

  • Application-Level Partitioning

  • Application Blueprint for Partitioning Memory-Optimized Tables

Increment available memory

Increase value of MAX_MEMORY_PERCENT on the resources pool

If you have not created a named resource pool for your in-retentivity tables you should do that and bind your In-Retentiveness OLTP databases to it. See the topic Demark a Database with Retentiveness-Optimized Tables to a Resource Puddle for guidance on creating and binding your In-Retention OLTP databases to a resource pool.

If your In-Memory OLTP database is jump to a resource pool you lot may be able to increase the percent of retention the pool tin can access. See the sub-topic Change MIN_MEMORY_PERCENT and MAX_MEMORY_PERCENT on an existing pool for guidance on changing the value of MIN_MEMORY_PERCENT and MAX_MEMORY_PERCENT for a resource pool.

Increase the value of MAX_MEMORY_PERCENT.
This code snippet changes MAX_MEMORY_PERCENT for the resource pool PoolHk to 70% of installed memory.

Important

If the server is running on a VM and is not dedicated, set the value of MIN_MEMORY_PERCENT and MAX_MEMORY_PERCENT to the same value.
Encounter the topic Best Practices using In-Retentivity OLTP in a VM surroundings for more information.

              -- disable resource governor   Alter RESOURCE GOVERNOR DISABLE      -- change the value of MAX_MEMORY_PERCENT   ALTER Resources Puddle PoolHk   WITH        ( MAX_MEMORY_PERCENT = 70 )   Go      -- reconfigure the Resource Governor to enabled it Change Resource GOVERNOR RECONFIGURE   GO

For data on maximum values for MAX_MEMORY_PERCENT run into the topic department Percent of memory available for memory-optimized tables and indexes.

Install additional memory

Ultimately the best solution, if possible, is to install additional physical memory. If yous do this, recollect that yous will probably be able to likewise increment the value of MAX_MEMORY_PERCENT (see the sub-topic Change MIN_MEMORY_PERCENT and MAX_MEMORY_PERCENT on an existing pool) since SQL Server won't probable demand more memory, allowing you to brand about if not all of the newly installed memory available to the resource puddle.

Important

If the server is running on a VM and is not dedicated, set the value of MIN_MEMORY_PERCENT and MAX_MEMORY_PERCENT to the same value.
See the topic Best Practices using In-Memory OLTP in a VM environment for more information.

Resolve folio allocation failures due to insufficient retention when sufficient memory is available

If you become the error bulletin, Disallowing page allocations for database '*\<databaseName>*' due to insufficient memory in the resource pool '*\<resourcePoolName>*'. See 'https://become.microsoft.com/fwlink/?LinkId=330673' for more data. in the error log when the available physical memory is sufficient to classify the page, it may be due to a disabled Resource Governor. When the Resources Governor is disabled MEMORYBROKER_FOR_RESERVE induces artificial retentiveness pressure.

To resolve this yous demand to enable the Resource Governor.

See Enable Resource Governor for data on Limits and Restrictions as well as guidance on enabling Resources Governor using Object Explorer, Resource Governor backdrop, or Transact-SQL.

Best Practices using In-Memory OLTP in a VM environs

Server virtualization tin can help you lower IT majuscule and operational costs and accomplish greater It efficiency with improved application provisioning, maintenance, availability, and backup/recovery processes. With recent technological advances, complex database workloads can be more readily consolidated using virtualization. This topic covers best practices for using SQL Server In-Memory OLTP in a virtualized environment.

Memory pre-allocation

For retentiveness in a virtualized surroundings, better performance and enhanced support are essential considerations. You lot must be able to both quickly allocate memory to virtual machines depending on their requirements (peak and off-elevation loads) and ensure that the memory is not wasted. The Hyper-Five Dynamic Memory feature increases agility in how the memory is allocated and managed between virtual machines running on a host.

Some best practices for virtualizing and managing SQL Server need to be modified when virtualizing a database with retentiveness-optimized tables. Without memory-optimized tables, 2 of the best practices are:

  • If you use min server memory, information technology is ameliorate to assign only the amount of memory that is required so sufficient memory remains for other processes (thereby avoiding paging).
  • Do non set the memory pre-allocation value too high. Otherwise, other processes may not become sufficient retentiveness at the time when they require information technology, and this tin can result in memory paging.

If you follow the above practices for a database with memory-optimized tables, an try to restore and recover a database could result in the database beingness in a "Recovery Awaiting" land, fifty-fifty if you have sufficient memory to recover the database. The reason for this is that, when starting up, In-Memory OLTP brings data into retention more aggressively than dynamic retentivity allocation allocates memory to the database.

Resolution

To mitigate this, pre-allocate sufficient memory to the database to recover or restart the database, not a minimum value relying on dynamic retentivity to provide the additional memory when needed.

Come across Also

Managing Memory for In-Retention OLTP
Monitor and Troubleshoot Memory Usage
Bind a Database with Memory-Optimized Tables to a Resources Puddle
Memory Direction Architecture guide
Server Memory Server Configuration Options

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Source: https://docs.microsoft.com/en-us/sql/relational-databases/in-memory-oltp/resolve-out-of-memory-issues

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