MemoryXtend for PMEM
Persistent Memory (PMEM) is a new class of memory that combines high capacity and affordability. By expanding affordable system memory capacities (greater than 3TB per CPU socket), end customers can use systems enabled with PMEM to better optimize their workloads by moving and maintaining larger amounts of data closer to the processor, and minimizing the higher latency of fetching data from system storage.
The Persistent Memory Development Kit, PMDK, is a collection of libraries that have been developed for various use cases, tuned, validated to production quality, and thoroughly documented. These libraries build on the Direct Access (DAX) feature available in both Linux and Windows, which allows applications direct load/store access to persistent memory by memory-mapping files on a persistent-memory-aware file system. The PMDK also includes a collection of tools, examples, and tutorials on persistent memory programming.
The PMEM storage driver does not currently support Windows.
PMDK is vendor-neutral, started by Intel and motivated by the introduction of Optane DC persistent memory. PMDK is open source and will work with any persistent memory that provides the SNIA NVM Programming Model.
GigaSpaces has developed a PMEM driver that works with Intel's Optane DC PMEM array. The MemoryXtend pmem storage driver stores Space objects in pmem, outside the Java heap.
Intel's Optane DC PMEM array supports two modes, Memory mode and App Direct mode. The MemoryXtend PMEM driver uses Intel's App Direct mode. Ensure that the PMEM array is set to App Direct mode so that it will work with the MemoryXtend PMEM driver.
For more information about the different PMEM modes, see this Intel blog.
Direct Access (DAX)
In order for the MemoryXtend PMEM driver to work properly, you must mount the PMEM array to a DAX-enabled system.
For more information about DAX, see this explanation of Direct Access for files.
The PMEM storage driver dose not currently support persistence mode.
You can create a Space that utilizes the MemoryXtend PMEM storage driver via the
pu.xml configuration file, or in the code. For example, to create a Space called "mySpace' with a PMEM memory pool of 20GB to be allocated at
<?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:os-core="http://www.openspaces.org/schema/core" xmlns:blob-store="http://www.openspaces.org/schema/pmem-blob-store" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.openspaces.org/schema/core http://www.openspaces.org/schema/15.2/core/openspaces-core.xsd http://www.openspaces.org/schema/pmem-blob-store http://www.openspaces.org/schema/15.2/pmem-blob-store/openspaces-pmem-blob-store.xsd"> <blob-store:pmem-blob-store id="myBlobStore" memory-pool-size="20GB" pmem-path="/mnt/pmem0/"/> <os-core:embedded-space id="space" name="MySpace"> <!-- cache-entries-percentage=0 in order to make sure that objects are written to the ssd--> <os-core:blob-store-data-policy blob-store-handler="myBlobStore" cache-entries-percentage="20" avg-object-size-KB="10"/> </os-core:embedded-space> </beans>
// Create off-heap storage driver: BlobStoreStorageHandler blobStore = new PmemBlobStoreConfigurer() blobStore.setMemoryPoolSize("20GB"); blobStore.setPmemPath("/mnt/pmem0/"); blobStore.setVerbose(false); .create(); // Create space with that storage driver: String spaceName = "mySpace"; EmbeddedSpaceConfigurer spaceConfigurer = new EmbeddedSpaceConfigurer(spaceName) .cachePolicy(new BlobStoreDataCachePolicy() .setBlobStoreHandler(blobStore)); GigaSpace gigaSpace = new GigaSpaceConfigurer(spaceConfigurer).gigaSpace();
The general MemoryXtend configuration options also apply. For example, you can configure MemoryXtend to cache some data on-heap for faster access.
For an example of how to configure the on-heap cache properties, see the MemoryXtend overview topic.
In order to use PMEM storage, you must define the amount of memory to allocate, for example.
20g. Use the following sizing units:
Before any operation that requires memory allocation (write, update, and initial load), the memory manager checks how much of the allocated memory has been used. If the threshold has been breached, an
OffHeapMemoryShortageException is thrown. Read, take, and clear operations are always allowed.
The amount of used memory can be tracked with the following monitoring and administration tools:
- Metrics - The
space_blobstore_off-heap_used-bytes_totalmetric, as described on the Metrics page.
- Admin API - Thru SpaceInstanceStatistics.getBlobStoreStatistics()
- Web Management Console - In the Space instances view, right-click any of the columns in the table and add the Used Off-Heap column.
Additionally, you can use Ops Manager to view which services are configured for MemoryXtend at the cluster level.
The data grid views the PMEM storage as off-heap storage. Therefore, the monitoring tools are the same for both the PMEM and the off-heap drivers.