CN111930303B - Hierarchical migration optimization method and system based on distributed object storage system - Google Patents
Hierarchical migration optimization method and system based on distributed object storage system Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
- G06F3/0607—Improving or facilitating administration, e.g. storage management by facilitating the process of upgrading existing storage systems, e.g. for improving compatibility between host and storage device
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0638—Organizing or formatting or addressing of data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
Abstract
The invention provides a hierarchical migration optimization method and a hierarchical migration optimization system based on a distributed object storage system, wherein a new logic processing module is introduced on the basis of hierarchical storage of the distributed object storage system, and each object storage gateway reads data in a migration queue from a common storage pool according to migration related parameters set in a cluster configuration file, so that the task and the migration object of each node are optimized, the performance of migrating data of each node in a storage cluster is fully exerted, the condition that each node has uneven tasks in the same migration period is further avoided, and the use experience of a user is further improved.
Description
Technical Field
The invention relates to the technical field of distributed storage, in particular to a hierarchical migration optimization method and system based on a distributed object storage system.
Background
A distributed object storage system refers to unstructured data oriented distributed storage. At present, more and more business scenarios require the use of distributed object storage systems. With the development of informatization, more and more users select to store the original data to digital equipment and transfer the data to cloud storage, and family members share the data with one another. Industrial 4.0, smart manufacturing, cloud on business, big data, e-government affairs, NASA satellite center, and large radio telescope, etc., more and more businesses and government entities put data in storage clusters to be managed centrally. Along with the increasing data volume in the storage cluster, how to fully play the performance of the existing hardware such as a memory, an SSD (solid state disk), an HDD (hard disk drive) and the like under the limited hardware condition of the distributed object storage cluster is provided, and better cluster data reading and writing experience is provided for users.
In the hierarchical storage of the distributed object storage cluster, a high-speed storage medium in the cluster, such as a RAM (internal memory), NVME (non-volatile memory), and an SSD (solid state disk) storage medium, is firstly constructed into a high-speed storage pool, and a low-speed filing storage pool is constructed by using an inexpensive HDD (hard disk drive). The high-speed storage pool has absolute performance advantage relative to the low-speed filing pool, however, due to factors such as price, the capacity of the medium-high speed storage pool in practical use is far smaller than that of the low-speed filing pool. When the data in the high-speed storage pool reaches a certain water level in the using process, the least recently used object in the high-speed storage pool is added into a migration elimination queue through a certain elimination algorithm, and then a migration thread acquires the object to be migrated from the migration queue for migration. However, if a simple task allocation is performed only based on the bucket ID + the file name, different stripe data are caused due to different sizes of objects, and different file migration IO times are caused, so that actual tasks of each service node are uneven, loads are unbalanced, even the performance of a cluster is affected, and even user experience is affected.
Disclosure of Invention
The invention aims to provide a hierarchical migration optimization method and system based on a distributed object storage system, which aim to solve the problems of task imbalance and load imbalance caused by hierarchical storage during migration in the prior art, realize the balance of the performance of migration data of each node and improve the user experience.
In order to achieve the technical purpose, the invention provides a hierarchical migration optimization method based on a distributed object storage system, which comprises the following operations:
starting an object storage gateway, and loading configuration parameters related to the migration task from a configuration file;
periodically scanning the use water level of the high-speed storage pool, initializing a migration task when the water level reaches a migration trigger water level stored in configuration parameters, adding a migration queue lock to a migration queue of the high-speed storage pool, and acquiring a task identifier of a file to be processed in the queue;
sequentially reading file information from the migration queue, adding the file information into the migration task, and updating the size, the number and the number of slices of the file to be processed of the migration task;
when the size, the number or the number of the slices of the file to be processed of the migration task reaches a set threshold value in the configuration parameters, updating the task identifier to the current file;
and releasing the migration queue lock, transferring the migration queue to other gateways for reading, starting a data migration task of the gateway, and migrating the object from the high-speed pool to the low-speed filing pool.
Preferably, the configuration parameters related to the migration task include a stored migration trigger level, a maximum file number of the migration task, a maximum file size of the migration task, and a number of migration threads.
Preferably, the file information includes a bucket name + a file name, a file source data pool, a target data pool, and a number of slices of the file.
Preferably, the migration task initializes the data migration thread pool according to the number of migration threads.
The invention also provides a hierarchical migration optimization system based on the distributed object storage system, which comprises the following components:
the configuration parameter loading module is used for starting the object storage gateway and loading configuration parameters related to the migration task from the configuration file;
the migration task initialization module is used for periodically scanning the use water level of the high-speed storage pool, initializing a migration task when the water level reaches a migration trigger water level stored in the configuration parameters, adding a migration queue lock to a migration queue of the high-speed storage pool, and acquiring a task identifier of a file to be processed in the queue;
the queue file reading module is used for sequentially reading file information from the migration queue, adding the file information into the migration task, and updating the size, the number and the number of the slices of the migration task;
the position updating module is used for updating the task identifier to the current file when the size, the number or the number of the slices of the file to be processed of the migration task reach a set threshold value in the configuration parameters;
and the data migration module is used for releasing the migration queue lock, transferring the migration queue to other gateways for reading, starting a data migration task of the gateway, and migrating the object from the high-speed pool to the low-speed filing pool.
Preferably, the configuration parameters related to the migration task include a stored migration trigger level, a maximum file number of the migration task, a maximum file size of the migration task, and a number of migration threads.
Preferably, the file information includes a bucket name + a file name, a file source data pool, a target data pool, and a number of slices of the file.
Preferably, the migration task initializes the data migration thread pool according to the number of migration threads.
The invention also provides a hierarchical migration optimization device based on the distributed object storage system, which comprises the following components:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the hierarchical migration optimization method based on the distributed object storage system.
The invention also provides a readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the hierarchical migration optimization method based on the distributed object storage system.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
compared with the prior art, the invention introduces a new logic processing module on the basis of the hierarchical storage of the distributed object storage system, and each object storage gateway reads the data in the migration queue from the common storage pool according to the migration related parameters set in the cluster configuration file, and optimizes the tasks and the migration objects of each node, thereby fully playing the performance of migrating data of each node in the storage cluster, further avoiding the condition that the tasks of each node are uneven in the same migration period, and further improving the use experience of users.
Drawings
FIG. 1 is a flowchart of a hierarchical migration optimization method based on a distributed object storage system according to an embodiment of the present invention;
FIG. 2 is a logical view of a data migration process provided in an embodiment of the present invention;
fig. 3 is a block diagram of a hierarchical migration optimization system based on a distributed object storage system according to an embodiment of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
The following describes a hierarchical migration optimization method and system based on a distributed object storage system in detail with reference to the accompanying drawings.
As shown in fig. 1 and 2, the present invention discloses a hierarchical migration optimization method based on a distributed object storage system, which includes the following operations:
starting an object storage gateway, and loading configuration parameters related to the migration task from a configuration file;
periodically scanning the use water level of the high-speed storage pool, initializing a migration task when the water level reaches a migration trigger water level stored in configuration parameters, adding a migration queue lock to a migration queue of the high-speed storage pool, and acquiring a task identifier of a file to be processed in the queue;
sequentially reading file information from the migration queue, adding the file information into the migration task, and updating the size, the number and the number of slices of the file to be processed of the migration task;
when the size, the number or the slice number of the files to be processed of the migration task reach a set threshold value in the configuration parameters, updating the task identification to the current file;
and releasing the migration queue lock, transferring the migration queue to other gateways for reading, starting a data migration task of the gateway, and migrating the object from the high-speed pool to the low-speed filing pool.
According to the embodiment of the invention, the data in the migration queue is read from the common storage pool according to the migration related parameters set in the cluster configuration file, and the task and the migration object of each node are optimized, so that the performance of migrating the data of each node in the storage cluster is fully exerted, and the condition that the tasks of each node are uneven in the same migration period is further avoided.
And starting the object storage gateway, and loading configuration parameters related to the migration task from the configuration file, wherein the configuration parameters comprise the stored migration trigger water level, the maximum file number of the migration task, the maximum file size of the migration task and the number of migration threads.
And periodically scanning the use water level of the high-speed storage pool, and if the water level does not reach the migration threshold, sleeping for a period of time and then acquiring the use water level of the high-speed storage pool again. When the water level of the high-speed storage pool reaches the migration trigger water level of the storage, the migration task is initialized. And adding a migration queue lock to the high-speed storage pool migration elimination queue, if the migration queue lock fails, trying to lock again after a period of time, and if the locking succeeds, acquiring a task _ marker (used for acquiring a start file of the task, and preventing each node from repeatedly processing or preventing the migration file from being processed), namely acquiring the position of the file to be processed in the queue.
And sequentially reading a piece of file information from the migration queue, and adding the file information comprising the barrel name + the file name, the file source data pool, the target data pool and the number of the slices of the file into the migration task. The total file size to be processed in the migration task is added with the file size, the number of files to be processed in the current task is added with 1 in an accumulated mode, and the total slice data to be processed is added with the number of slices of the file.
When the total number of files to be processed by the task of the migration task reaches the threshold of the migration task, or the total size of the files to be processed by the task reaches the threshold of the migration task, or the total number of task slices reaches the threshold, updating the task _ marker to the file; if none are reached, the next file is read from the migration queue.
And when the task _ marker is updated, releasing the migration queue lock, transferring the migration queue to other service nodes for reading, starting a data migration task of the gateway, initializing a data migration thread pool according to the number of the migration threads in the configuration file, and starting to migrate the object from the high-speed pool to the low-speed filing pool.
According to the embodiment of the invention, a new logic processing module is introduced on the basis of the hierarchical storage of the distributed object storage system, and each object storage gateway reads data in the migration queue from the common storage pool according to the migration related parameters set in the cluster configuration file, so that the tasks and the migration objects of each node are optimized, the performance of migrating the data of each node in the storage cluster is fully exerted, the condition that the tasks of each node are uneven in the same migration period is further avoided, and the use experience of a user is further improved.
As shown in fig. 3, an embodiment of the present invention further discloses a hierarchical migration optimization system based on a distributed object storage system, where the system includes:
the configuration parameter loading module is used for starting the object storage gateway and loading configuration parameters related to the migration task from the configuration file;
the migration task initialization module is used for periodically scanning the use water level of the high-speed storage pool, initializing a migration task when the water level reaches a migration trigger water level stored in the configuration parameters, adding a migration queue lock to a migration queue of the high-speed storage pool, and acquiring a task identifier of a file to be processed in the queue;
the queue file reading module is used for sequentially reading file information from the migration queue, adding the file information into the migration task, and updating the size, the number and the number of the slices of the migration task;
the position updating module is used for updating the task identifier to the current file when the size, the number or the number of the slices of the file to be processed of the migration task reach a set threshold value in the configuration parameters;
and the data migration module is used for releasing the migration queue lock, transferring the migration queue to other gateways for reading, starting a data migration task of the gateway, and migrating the object from the high-speed pool to the low-speed filing pool.
And starting the object storage gateway, and loading configuration parameters related to the migration task from the configuration file, wherein the configuration parameters comprise the stored migration trigger water level, the maximum file number of the migration task, the maximum file size of the migration task and the number of migration threads.
And periodically scanning the use water level of the high-speed storage pool, and if the water level does not reach the migration threshold, sleeping for a period of time and then acquiring the use water level of the high-speed storage pool again. When the water level of the high-speed storage pool reaches the migration trigger water level of the storage, the migration task is initialized. And adding a migration queue lock to the high-speed storage pool migration elimination queue, if the migration queue lock fails, trying to lock again after a period of time, and if the locking succeeds, acquiring a task _ marker (used for acquiring a start file of the task, and preventing each node from repeatedly processing or preventing the migration file from being processed), namely acquiring the position of the file to be processed in the queue.
And sequentially reading a piece of file information from the migration queue, and adding the file information comprising the barrel name + the file name, the file source data pool, the target data pool and the number of the slices of the file into the migration task. The total file size to be processed in the migration task is added with the file size, the number of files to be processed in the current task is added with 1 in an accumulated mode, and the total slice data to be processed is added with the number of slices of the file.
When the total number of files to be processed by the task of the migration task reaches the threshold of the migration task, or the total size of the files to be processed by the task reaches the threshold of the migration task, or the total number of task slices reaches the threshold, updating the task _ marker to the file; if none are reached, the next file is read from the migration queue.
And when the task _ marker is updated, releasing the migration queue lock, transferring the migration queue to other service nodes for reading, starting a data migration task of the gateway, initializing a data migration thread pool according to the number of the migration threads in the configuration file, and starting to migrate the object from the high-speed pool to the low-speed filing pool.
The embodiment of the invention also discloses a hierarchical migration optimization device based on the distributed object storage system, which comprises the following steps:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the hierarchical migration optimization method based on the distributed object storage system.
The embodiment of the invention also discloses a readable storage medium for storing the computer program, wherein the computer program realizes the hierarchical migration optimization method based on the distributed object storage system when being executed by the processor.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (6)
1. A hierarchical migration optimization method based on a distributed object storage system is characterized by comprising the following operations:
starting an object storage gateway, and loading configuration parameters related to the migration task from a configuration file; the configuration parameters related to the migration task comprise a stored migration trigger water level, the maximum file number of the migration task, the maximum file size of the migration task and the number of migration threads;
periodically scanning the use water level of the high-speed storage pool, initializing a migration task when the water level reaches a migration trigger water level stored in configuration parameters, adding a migration queue lock to a migration queue of the high-speed storage pool, and acquiring a task identifier of a file to be processed in the queue;
sequentially reading file information from the migration queue, adding the file information into the migration task, and updating the size, the number and the number of slices of the file to be processed of the migration task; the file information comprises a barrel name plus a file name, a file source data pool, a target data pool and the number of slices of the file;
when the size, the number or the number of the slices of the file to be processed of the migration task reaches a set threshold value in the configuration parameters, updating the task identifier to the current file;
and releasing the migration queue lock, transferring the migration queue to other gateways for reading, starting a data migration task of the gateway, and migrating the object from the high-speed pool to the low-speed filing pool.
2. The hierarchical migration optimization method based on the distributed object storage system according to claim 1, wherein the migration task initializes a data migration thread pool according to the number of migration threads.
3. A hierarchical migration optimization system based on a distributed object storage system, the system comprising:
the configuration parameter loading module is used for starting the object storage gateway and loading configuration parameters related to the migration task from the configuration file; the configuration parameters related to the migration task comprise a stored migration trigger water level, the maximum file number of the migration task, the maximum file size of the migration task and the number of migration threads;
the migration task initialization module is used for periodically scanning the use water level of the high-speed storage pool, initializing a migration task when the water level reaches a migration trigger water level stored in the configuration parameters, adding a migration queue lock to a migration queue of the high-speed storage pool, and acquiring a task identifier of a file to be processed in the queue;
the queue file reading module is used for sequentially reading file information from the migration queue, adding the file information into the migration task, and updating the size, the number and the number of the slices of the migration task; the file information comprises a barrel name plus a file name, a file source data pool, a target data pool and the number of slices of the file;
the position updating module is used for updating the task identifier to the current file when the size, the number or the number of the slices of the file to be processed of the migration task reach a set threshold value in the configuration parameters;
and the data migration module is used for releasing the migration queue lock, transferring the migration queue to other gateways for reading, starting a data migration task of the gateway, and migrating the object from the high-speed pool to the low-speed filing pool.
4. The hierarchical migration optimization system based on the distributed object storage system according to claim 3, wherein the migration task initializes the data migration thread pool according to the number of migration threads.
5. A hierarchical migration optimization device based on a distributed object storage system is characterized by comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the hierarchical migration optimization method based on a distributed object storage system according to claim 1 or 2.
6. A readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the hierarchical migration optimization method based on a distributed object storage system according to claim 1 or 2.
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| CN102291450A (en) * | 2011-08-08 | 2011-12-21 | 浪潮电子信息产业股份有限公司 | Data online hierarchical storage method in cluster storage system |
| WO2014183514A1 (en) * | 2013-11-19 | 2014-11-20 | 中兴通讯股份有限公司 | Method, device, and computer storage medium for hierarchical storage |
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| CN102291450A (en) * | 2011-08-08 | 2011-12-21 | 浪潮电子信息产业股份有限公司 | Data online hierarchical storage method in cluster storage system |
| WO2014183514A1 (en) * | 2013-11-19 | 2014-11-20 | 中兴通讯股份有限公司 | Method, device, and computer storage medium for hierarchical storage |
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