Embodiments of the invention relate to systems and methods for managing memory in a computing environment. More particularly, embodiments of the invention relate to systems and methods for rebuilding an index to data stored in a cache such as a flash cache.
Advances in computing technology has resulted in the ability to store ever growing amounts of data. However, the performance of data storage systems is often limited by hard disk drive (HDD) latency, which has been relatively constant for years. To improve performance, data storage systems use caching layers. Typically, each caching layer performs better than the lower layer.
In systems that deal with large amounts of data, flash memory can be used as a caching layer and can be much larger than DRAM (dynamic random access memory). In fact, caches configured from flash memory (flash cache) may be very large (e.g., hundreds of gigabytes to hundreds of terabytes in size). Flash memory has both higher TOPS (input output operations per second) and lower latency compared to HDDs.
The performance of a storage system can be improved by placing the most valuable data or metadata into the flash cache for faster access. Unlike DRAM, flash is persistent across system restarts. Consequently, content stored in the flash cache is not lost when a system restarts and the contents can be advantageously used. This is referred to as a warm cache and is distinct from starting with a cold cache that needs to be repopulated with data.
However, an index is needed to access the contents of the flash cache. The index is usually stored in memory such as DRAM and maps an identifier (e.g., a fingerprint, hash, key, or the like) to a location in the flash cache. The data stored in the flash cache may be data such as file blocks, content-defined chunks, or meta-data such as directory records, file indirect blocks, or the like. Because the index in DRAM is lost across restarts, it is necessary to rebuild the index before the content of the flash cache can be used.
The index could be stored in the flash cache instead of memory. When the index is stored in the flash cache, it may not be necessary to rebuild the index or load the index into memory. A drawback of this approach is that the index has to be kept up-to-date in the flash cache. This has the effect of causing high churn in the flash cache and can have an impact on the performance of the flash cache. Flash has a limited endurance and only supports a limited number of writes before it becomes read-only. As one example, consider a flash device of 100 GB that only supports one full overwrite per day for five years. That means it supports 100 GB times 356 days times 1 write per day times five years, which approximately equals 178 TB of writes before it becomes read-only. Frequent index updates can use up the writes supported by the flash device. Additionally updates to the index are usually very small, such as only a few bytes, but flash updates are at the unit of a page, usually 4 KB, requiring a page to be read, modified and written to a new location for each small update.
In another example, the flash cache can be completely scanned and the index can be rebuilt in memory from the scan. Reading the entire cache, however, requires a lot of time (depending on the size of the cache) and consumes I/O that could be used for other purposes. This is expensive and can negatively impact the performance of the flash cache. Systems and methods are needed for building or for rebuilding an index for a flash cache.
In order to describe the manner in which at least some aspects of this disclosure can be obtained, a more particular description will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only example embodiments of the invention and are not therefore to be considered to be limiting of its scope, embodiments of the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings, in which:
Embodiments of the invention relate to systems and methods for managing memory in a computing system. More particularly, embodiments of the invention relate to systems and methods for building or rebuilding indexes used to access content in a cache such as a flash cache.
A computing system may include multiple or tiered storage. The different tiers may include different types of storage. A computing system may include DRAM, a flash memory cache (flash or flash cache), and storage such as hard disk drives (HDD). The content stored in the flash cache is accessed using an index that maps an identifier of the content or data to a location of the data in the cache. In one example, the identifier may identify a location of the data in a container stored in the cache. A container is an example of a structure to store multiple data segments.
Unlike DRAM, flash is persistent across system restarts, so when a storage system restarts, the content in the flash cache can be used. This allows the storage system to start with a warm cache instead of starting from a cold cache that has to be repopulated. However, the index to the cache, which was stored in memory, is typically lost and must be rebuilt.
Embodiments of the invention relate to systems and methods for rebuilding or reconstructing the index when the flash cache is loaded. In one example, the process of rebuilding the cache is improved by managing the manner in which content is stored in the cache. More specifically, the data may be arranged or stored in containers. Each container includes a header that includes enough metadata to index the content of the container. As a result, the process of rebuilding the index is improved because it is only necessary to read the headers of the containers when rebuilding the cache. In addition, the container headers in the flash cache can be read using multiple parallel threads. The order of reading from the flash cache has little impact on the index because the index stores relationships between an identifier of the data (a data segment) and a location of the data segment in the flash cache and more specifically to a location of the data segment in a container in the cache. The index may also store other data or metadata. Even if the flash cache includes multiple flash devices, one or more threads can be created to read from each device independently and add entries to the index.
Further, multiple threads can be used to read from a single flash device when the flash device supports multiple outstanding I/Os. Each thread, for example, may be configured to read a distinct set of container identifiers (IDs). Reading the flash cache using multiple threads can shorten the time required to rebuild the index. When rebuilding the flash cache using multiple threads, the index or subregions of the index may be locked as necessary to avoid conflicting updates.
Traditionally, a cache is not available until the index is fully reconstructed. Embodiments of the invention, however, allow access to the cache even when the index is not fully reconstructed. In this scenario, some requests to the index may fail to find data that is actually located in the flash cache. However, more of the data becomes available over time as the index is built. In addition, content can be inserted into the flash cache while the index is being rebuilt. Insertions are simply added to the index.
To facilitate the process of rebuilding the cache, an overall cache state may be stored in a reserved region of the flash cache. The cache state may be referred to as a cache status header. The cache status header may include the highest container ID stored to flash as well as an allocation table indicating which regions of flash cache have containers and which regions of the flash cache are unused. When a client inserts new content into the flash cache, the content is packed into a new container (or multiple containers if necessary), the container's header is created representing the container, a new container ID is created, the container is written to flash, and the content is added to the index. The content is added to the index by adding at least an identifier (e.g., a key, a hash or partial identifier of the content) and a location of the data segment. The location may specify the container plus an offset within the container where the content or data segment is stored.
During the rebuild process, the location in the flash cache in which the container is written can be selected in different ways. If unused regions are available in the flash cache, the container may be written to an unused region. If a region of the flash cache is used but not yet indexed, this region can be selected for replacement without reading the container's header and without removing entries from the index. If a region that is used and indexed is selected, the region can be selected for replacement.
Various policies can be used to manage the content in the cache. Least recently used (LRU) is an example of a policy for evicting content from the cache. Thus, content can be added to the cache in parallel with the reconstruction of the index.
The computing system 100 may include a processor 102 (or multiple processors), a memory 104, a flash cache 108 (or other suitable memory type), and storage 114. The memory 104 and the flash cache 108 may both be configured as a cache. The memory 104, for example, may be DRAM or the like. The memory 104 is typically faster and smaller than the flash cache 108. The flash cache 108 is typically smaller and faster than the storage 114. The storage 114 may include multiple HDDs or other storage type.
The memory 104, flash cache 108, and storage 114 are arranged to improve performance of the computing system 100. Over time, by way of example, data that is requested more frequently tends to reside in the flash cache 108.
In the computing system 100, an index 106 is maintained in the memory 104. The index 106 includes multiple entries and each entry corresponds to data or content stored in the flash cache 108. In one example, the index 106 may be implemented as a hash index. The hash in an entry of the index is an identifier of content in the flash cache 108 corresponding to the entry. In one example, the index 106 may not store the complete identifier. The index 106 may include identifiers of data or content stored in the flash cache 108. Each entry in the index 106 may also store other information or metadata such as a segment size, segment type, or the like or other combination thereof. In another example, the metadata in the index may be a logical block address or file handle and offset within a file.
The content in the flash cache 108 may be stored in containers 110. Each of the containers 110 may include a container header. The container header contains enough metadata to index the content stored in the corresponding container. Each container may include multiple segments. When rebuilding the index, the container headers may be read and entries in the index 106 may be generated from the metadata in the container header. More specifically, each container may include multiple data segments. The container header may include the identifier and location of each data segment in the container. The container header may also identify a segment type and a segment size for each data segment. By reading the container headers, all information needed to index each of the data segments can be obtained without having to read or process the data segments themselves.
A cache status header 112 may also be stored in the flash cache 108. The cache status header 112 may be stored at a known location such that information contained therein can be extracted across restarts without having to search for the cache status header.
The cache status header 112 may include information that can be used at least when the index is being rebuilt. For example, the cache status header 112 may identify the highest container identifier included in the containers 110. When rebuilding the index, the container headers can be read in parallel using multiple threads. Knowing the highest container identifier allows the computing system to know when all container headers have been read and allows the computing system to allocate a range of container headers to different threads. This eliminates redundancy when reading the container headers such that container headers are only read once.
The cache status header 112 may also identify regions of the flash cache 108 that are unused and/or regions that are used and/or regions recommended for replacement. This provides flexibility when inserting new content into the flash cache 108 while the index is being rebuilt.
More specifically, the flash cache 108 includes, by way of example a container 214 and a container 220. In practice, the flash cache 108 includes a large number of containers. The container 214 includes a container header 216 and data segments 218. The container header 216 includes metadata that allows the data segments 218 to be indexed without having to read the data segments 218. The metadata includes information such as the identifiers the data segments and locations of the data segments in the container. This metadata can be used to rebuild the index. The container 220 similarly includes a container header 222 and corresponding data segments 224.
In one embodiments, the container headers can be read using multiple threads 226. In this example, the thread 228 reads the container header 216 and the thread 230 reads the container header 222. After reading the container headers 216 and 222, the threads 226 insert the metadata into the index 106.
The thread 228 is reading the container header 216 and the thread 230 is reading the container header 222. After reading the container header 216, at least an identifier 206 (e.g., a key, hash or fingerprint or partial identifier of the corresponding segment) and a location 208 is written to the entry 202 of the index 106. The location stored in the index 106 may be represented in different ways. The location 208, for example, may point to the container 214 and include an offset to the relevant segment. Alternatively, the location 208 could point directly to a particular segment. Similarly, an identifier 210 and a location 212 are written to the entry 204 of the index 106. Once this is completed, the containers 214 and 220 are indexed. The containers can be read in a parallel manner. A lock may be applied to the index 106 as necessary during index updates.
Until all of the containers have been indexed in this manner, the index 106 is only partially rebuilt. However, embodiments of the invention allow the index to be used in a partially reconstructed state. This allows the computing system to be used more quickly compared to waiting for the index to be completely rebuilt.
In box 304, the index is updated by the threads. Because multiple threads are reading the container headers, the index or portions of the index may be locked during an update. This ensures that the in-memory index is locked as necessary. In one example, the index may include index buckets. Locking the index or locking a specific bucket can ensure that the updates are performed appropriately without different threads interfering with each others writes and potentially creating invalid index entries. Each index bucket may include multiple entries.
After a container has been indexed, the data segments associated with the container can be accessed via the cache. Thus, lookup operations can be performed in box 306. Stated differently, a request for a data segment that has been indexed allows the data segment to be retrieved from the flash cache even if the cache index is not completely rebuilt. A request for a data segment that has not been indexed may be retrieved from storage even if the requested data segment is stored in the flash cache. In other words, cache misses are handled normally in the computing system.
In box 404, a request to insert a data segment is evaluated using the index. In one example, the request is evaluated to determine whether the index includes the data segment associated with the request. This may occur, for example, when the container containing the data segment has been indexed. In one example, an identifier of the requested data segment is compared with identifiers presently indexed. If the identifier is found, then the data segment is stored in the flash cache and has been indexed. The response to the request in box 404 may be to read the data segment from the flash cache.
In one example when the identifier is not in the index in box 404, the data segment may be inserted into the cache in box 406. The index may also be updated. The data segment can be inserted in different manners. In one example, the cache status header may be read to identify the highest container number and to obtain information about free space. Then, the data segment is written to a container (that is given the next container number) and the container is written to an unused region of the flash cache if an unused region is available.
In another example, the container containing the data segment can be written to a region of the flash cache that has been used but has not been indexed. In this example, the header of the container being replaced does not need to be read and no entries need to be removed from the index. Information for the new container, however, may be added to the index.
In another example, a region that is already indexed and used can be selected for the new data segment. The selection of the used region can be made using various caching eviction policies, such as least recently used, lowest container number, or the like.
This process may continue until the cache is rebuilt. Once the cache is rebuilt, normal caching policies may be performed.
The embodiments disclosed herein may include the use of a special purpose or general-purpose computer including various computer hardware or software modules, as discussed in greater detail below. A computer may include a processor and computer storage media carrying instructions that, when executed by the processor and/or caused to be executed by the processor, perform any one or more of the methods disclosed herein.
As indicated above, embodiments within the scope of the present invention also include computer storage media, which are physical media for carrying or having computer-executable instructions or data structures stored thereon. Such computer storage media can be any available physical media that can be accessed by a general purpose or special purpose computer.
By way of example, and not limitation, such computer storage media can comprise hardware such as solid state disk (SSD), RAM, ROM, EEPROM, CD-ROM, flash memory, DRAM, phase-change memory (“PCM”), or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other hardware storage devices which can be used to store program code in the form of computer-executable instructions or data structures, which can be accessed and executed by a general-purpose or special-purpose computer system to implement the disclosed functionality of the invention. Combinations of the above should also be included within the scope of computer storage media. Such media are also examples of non-transitory storage media, and non-transitory storage media also embraces cloud-based storage systems and structures, although the scope of the invention is not limited to these examples of non-transitory storage media.
Computer-executable instructions comprise, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts disclosed herein are disclosed as example forms of implementing the claims.
As used herein, the term ‘module’ or ‘component’ can refer to software objects or routines that execute on the computing system. The different components, modules, engines, and services described herein may be implemented as objects or processes that execute on the computing system, for example, as separate threads. While the system and methods described herein can be implemented in software, implementations in hardware or a combination of software and hardware are also possible and contemplated. In the present disclosure, a ‘computing entity’ may be any computing system as previously defined herein, or any module or combination of modules running on a computing system.
In at least some instances, a hardware processor is provided that is operable to carry out executable instructions for performing a method or process, such as the methods and processes disclosed herein. The hardware processor may or may not comprise an element of other hardware, such as the computing devices and systems disclosed herein. A controller may include a processor and memory and/or other computing chips.
In terms of computing environments, embodiments of the invention can be performed in client-server environments, whether network or local environments, or in any other suitable environment. Suitable operating environments for at least some embodiments of the invention include cloud computing environments where one or more of a client, server, or target virtual machine may reside and operate in a cloud environment.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described embodiments are to be considered in all respects only as illustrative and not restrictive. The scope of the invention is, therefore, indicated by the appended claims rather than by the foregoing description. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope.
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Number | Date | Country | |
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20190294545 A1 | Sep 2019 | US |
Number | Date | Country | |
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Parent | 15196150 | Jun 2016 | US |
Child | 16440457 | US |