The Memory Management facility is used to assist the client in avoiding a situation where a space server gets into an out-of-memory failure scenario. Based on the configured cache policy, the memory manager protects the space (and the application, in the case it is running collocated with the space) from consuming memory beyond a defined threshold.
The client/Application is expected to have some business logic that will handle
org.openspaces.core.SpaceMemoryShortageException that might be thrown (when using the openspaces API). When the legacy
IJSpace interface is used,
com.j_spaces.core.MemoryShortageException will be thrown instead. Without such business logic, the space server or a client local cache may eventually exhaust all their parent process available memory resources.
Most of the considerations described in this topic are also relevant for the client application when running a Local Cache with a LRU Cache policy.
The space memory can be managed using the following mechanisms:
- Eviction policy - You can set the policy to run
ALL IN CACHEor
LRU(Least Recently Used) or custom implementation.
- Memory Manager - Provides options for controlling the JVM that is hosting the space memory utilization. It allows you to define thresholds for situations where the memory becomes over-utilized.
Cache Eviction Policies
The space supports two cache eviction policies: LRU Cache Policy (code 0) and ALL IN CACHE Policy (code 1) defined via the the
space-config.engine.cache_policy property. See below example how you can configure it:
<os-core:embedded-space id="space" space-name="mySpace"> <os-core:properties> <props> <prop key="space-config.engine.cache_policy">0</prop> </props> </os-core:properties> </os-core:embedded-space>
- ALL IN CACHE Policy - Assumes the JVM hosting the space instance has enough heap to hold all data in memory.
- LRU Cache Policy - Assumes the JVM hosting the space instance does not have enough heap to hold all data in memory. By default ALL IN CACHE policy is used for an in-memory data grid,and LRU-Cache Policy is used for a persistent space with Space Persistency enabled.
Calculating the Available Memory
LRU cache policies calculate the JVM’s available memory to determine if there is a need to throw
SpaceMemoryShortageException or to start to evict objects. Calculating the available memory is performed when the following operations are called: abort, changeReplicationState, clear, commit, count, getReplicationStatus, getRuntimeInfo, getSpacePump, getTemplatesInfo, joinReplicationGroup, leaveReplicationGroup, notify, prepare, prepareAndCommit, execute, read, readMultiple, replace, spaceCopy, update, updateMultiple, write.
MemoryShortageException the local cache/local view/space performs an explicit garbage collection call (System.gc() ), allowing the JVM to reclaim any unused heap memory. This activity may happen at the client side when running a local cache or a local view, or at the space side (JVM hosting the GSC).
The explicit garbage collection call reduces the probability of throwing
MemoryShortageException in case the JVM does have some available memory left. Still, such a call might impact the client side (when running local cache/view) or space-side responsiveness since during the garbage collection activity, no JVM thread will manage to perform its activity. With a client or space using a large heap size, this might introduce a long pause.
To avoid this behavior, you can add one of the following into your client or space side JVM parameters list:
Only do so if you’ve determined it necessary, as this disables a feature designed to protect your application.
Handling Large JVM Heap Sizes
When configuring the JVM to use large heap sizes (over 10GB), it is recommended to use the following values:
<os-core:embedded-space id="space" space-name="mySpace"> <os-core:properties> <props> <prop key="space-config.engine.memory_usage.high_watermark_percentage">97</prop> <prop key="space-config.engine.memory_usage.write_only_block_percentage">96</prop> <prop key="space-config.engine.memory_usage.write_only_check_percentage">95</prop> <prop key="space-config.engine.memory_usage.low_watermark_percentage">94</prop> </props> </os-core:properties> </os-core:embedded-space>
These values represent 400MB difference between the
high_watermark_percentage and the
low_watermark_percentage when having 10GB max heap size. The above values will make sure the memory manager will not waste memory, but throw
MemoryShortageException when running in
ALL_IN_CACHE or evict objects when running in
LRU cache policy mode when the absolute amount of JVM available memory is low.
With large JVM heap size, it is recommended to use the CMS Garbage collector. This will prevent long Garbage collector pauses.
Memory Manager Activity when Initializing the Space
In this phase of the space life cycle, the space checks for the amount of available memory. This is relevant when the space performs a warm start, such as
Memory Manager and Transient Objects
Transient objects are specified using the
@SpaceClass (persist=false) decoration. You may specify transient decoration at the class or object level (field method level decoration).
When using transient objects, note that they are:
- Included in the free heap size calculation.
- Included in the count of total objects (for max cache size).
- Not evicted when running in LRU cache policy mode.
Use the transient object option to prevent the space from evicting objects when running in LRU cache policy mode.
Memory Manager’s Synchronous Eviction
Since LRU eviction can be costly, it is done in asynchronously by the memory manager. However, when the amount of used memory reaches a threshold, LRU eviction by the memory manager is done synchronously and API calls to the space are blocked. The synchronous eviction watermark can be set by the
space-config.engine.memory_usage.synchronous_eviction_watermark_percentage memory manager parameter.
Explicit Eviction of Objects from the Space
Objects can be evicted explicitly from the space by calling the
clear operations on the GigaSpace interface combined with the TakeModifiers.EVICT_ONLY modifier. The
clear operation only returns the number of objects actually evicted from the space. The
takeMultiple operation returns the actual objects that were evicted. Here’s usage example:
GigaSpace gigaSpace = ...; User template = new User(); // Using clear - evicts all the objects of type User from the space int numEvicted = gigaSpace.clear(template, ClearModifiers.EVICT_ONLY);
GigaSpace gigaSpace = ...; User template = new User(); // Using takeMultiple - evicts all the objects of type User from the space User evictedUsers = gigaSpace.takeMultiple(template, Integer.MAX_VALUE, TakeModifiers.EVICT_ONLY);
It’s important to note the following about the
- It can be used with any take operation -
- It can be used only with LRU policy.
- When using this modifier, the timeout argument in operations that allow to specify a timeout is ignored. The operations will always return immediately.
- When using this modifier, the
clearcalls will never be propagated to the underlying database (EDS layer) when running in synchronous or asynchronous persistency mode. A
takeoperation for example might return a
nullwhile a matching object exists in the underlying database.
TakeModifiers.EVICT_ONLYis ignored when used in a transactional operation - A
clearin the context of a transaction will not result eviction.
Exceeding Physical Memory Capacity
The overall space capacity is not necessarily limited to the capacity of its physical memory. Currently there are two options for exceeding this limit:
- Using an LRU and Space Persistency - in this mode, all the space data is kept in the database and therefore the space capacity is dependent on the database capacity rather than the memory capacity. The space maintains in memory, a partial image of the persistent view in an LRU basis.
- Using Partitioned Space - in this mode, the space utilizes the physical memory of multiple JVMs. This means the application using the space is able to access all the space instances transparently, as if they were a single space with higher memory capacity.
Memory Manager Parameters
The following properties used to control the memory manager.
|Property||Description||Default value||Supported with Cache Policy|
|space-config.engine.cache_size||Defines the maximum size of the space cache. This is the total number of space objects across all space class instances, within a single space. This parameter is ignored when running an
|Specifies a maximum threshold for memory use. If the space container’s memory usage exceeds this threshold, a
|Specifies the recommended lower threshold for the JVM heap size that should be occupied by the space container. When the system reaches the high_watermark_percentage, it evicts objects on an LRU basis, and attempts to reach this
|Specifies a threshold from which LRU eviction is synchronous.||high_watermark
(100 - high_watermark
|Specifies the amount of objects to evict each time. This option is relevant only in LRU cache management policy.||500||LRU|
|Specifies a lower threshold for blocking
|Specifies an upper threshold for checking only
|Number of retries to lower the memory level below the
When using the LRU cache policy,
This settings should be set to false when running large heap size (above 4GB) as it may cause a long pause with the JVM response time due-to long garbage collection.
|true||LRU , ALL_IN_CACHE|
|Time (in milliseconds) to wait after evicting a batch of objects, before measuring the current memory utilization.||50||LRU|
|space-config.engine.initial_load||When a persistent space running in LRU cache policy mode is started/deployed, it loads data from the underlying data source before being available for clients to access. The default behavior is to load data up to 50% of the
|LRU touch activity kicks-in when the percentage of objects within the space exceeds
The default value of the
com.j_spaces.core.MemoryShortageException or an
org.openspaces.core.SpaceMemoryShortageException are thrown only when the JVM garbage collection and the eviction mechanism do not evict enough memory. This can happen if the
space-config.engine.memory_usage.low_watermark_percentage value is too high.