CN111124308A - Performance analysis method and device, electronic equipment and storage medium - Google Patents
Performance analysis method and device, electronic equipment and storage medium Download PDFInfo
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- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
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- 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
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Abstract
The application discloses a performance analysis method, a performance analysis device, an electronic device and a computer readable storage medium, wherein the method comprises the following steps: determining a target IO event, and dividing the target IO event into a plurality of stages; counting the time delay of each stage by dotting the starting time and the ending time of each stage; and performing performance analysis on the target IO event based on the time delay of each stage. According to the performance analysis method, targeted performance analysis is performed through statistical processing of time delay of each stage of IO events of the storage device end. When performance analysis and statistics are needed to be carried out on the storage equipment end, the performance statistics function of the storage equipment end is turned on through the online configuration switch, and a command line is executed, so that the time delay condition of the current IO (input/output) event, namely a target IO event, as well as the time delay and IO blocking data of the neutralization stage of the target IO event can be output, and effective analysis data can be provided for IO performance bottleneck point analysis.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a performance analysis method and apparatus, an electronic device, and a computer-readable storage medium.
Background
The iSCSI (Internet small computer System Interface, Internet full name) architecture mainly includes a storage device end (target) and a client (initiator) using the storage device end, where the storage device end stores a disk or a RAID device, and aims to provide a disk used by another host, where the client using the storage device end is usually a server, and a server connected to the storage device end can use the disk provided by the storage device end only after the server has to install the relevant function of the iSCSI initiator.
After the client establishes connection with the storage device terminal, an access request (i.e., an IO event) is sent to the storage device terminal, and the storage device terminal triggers and processes the access request of the client through an epoll event. In the related art, after the whole IO event processing is finished, statistics of bandwidth or IOPS is performed, and then performance analysis is performed. However, the above scheme can only obtain the processing performance of the whole IO event, and cannot perform targeted analysis on the processing performance of the specific stage of the IO event, and the performance analysis is not comprehensive.
Therefore, how to perform targeted performance analysis on each phase of the IO event is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a performance analysis method and device, an electronic device and a computer readable storage medium, which realize targeted performance analysis of each stage of an IO event.
In order to achieve the above object, the present application provides a performance analysis method, including:
determining a target IO event, and dividing the target IO event into a plurality of stages;
counting the time delay of each stage by dotting the starting time and the ending time of each stage;
and performing performance analysis on the target IO event based on the time delay of each stage.
Wherein the performing performance analysis on the target IO event based on the time delay of each stage includes:
counting the total time delay of the target IO event based on the time delay of each stage;
and when the total time delay is larger than a preset value, outputting the time delay of each stage of the target IO event.
Wherein, the counting the time delay of each stage by time dotting the starting time and the ending time of each stage comprises:
reading the target IO event from the queue to be processed, and determining the current time point as a first time point;
calling a target library to process the target IO event, and determining the current time point as a second time point after the processing is finished;
adding the processed target IO event into a completion queue, and determining the current time point as a third time point;
returning the processed target IO event to the client, and determining the current time point as a fourth time point;
and determining the time delay of each stage of the target IO event according to the first time point, the second time point, the third time point and the fourth time point.
Wherein the determining the target IO event includes:
and when the target IO event of the client is received, adding the target IO event into the queue to be processed.
Wherein, still include:
establishing a storage cluster by taking a storage equipment end as a front-end engine and a target storage system as a rear-end storage, and providing a target storage block for the client through a target interface of the storage equipment end;
when the target IO event of the client is received, adding the target IO event into the queue to be processed, including:
and when receiving an access event of the client to the target storage block, adding the access event into the queue to be processed as the target IO event.
Wherein, after providing the target storage block for the client through the target interface of the storage device side, the method further comprises:
and verifying the availability and the performance stability of the target storage block.
Wherein, still include:
after the storage cluster is subjected to code updating, re-counting the time delay of each stage of the target IO event;
performance analysis is performed based on the time delay of each stage of the re-statistics.
In order to achieve the above object, the present application provides a performance analysis apparatus, comprising:
the determining module is used for determining a target IO event and dividing the target IO event into a plurality of stages;
the first statistical module is used for counting the time delay of each stage by dotting the starting time and the ending time of each stage;
and the first analysis module is used for carrying out performance analysis on the target IO event based on the time delay of each stage.
To achieve the above object, the present application provides an electronic device including:
a memory for storing a computer program;
a processor for implementing the steps of the performance analysis method as described above when executing the computer program.
To achieve the above object, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the performance analysis method as described above.
According to the scheme, the performance analysis method provided by the application comprises the following steps: determining a target IO event, and dividing the target IO event into a plurality of stages; counting the time delay of each stage by dotting the starting time and the ending time of each stage; and performing performance analysis on the target IO event based on the time delay of each stage.
According to the performance analysis method, targeted performance analysis is performed through statistical processing of time delay of each stage of IO events of the storage device end. When performance analysis and statistics are needed to be carried out on the storage equipment end, the performance statistics function of the storage equipment end is turned on through the online configuration switch, and a command line is executed, so that the time delay condition of the current IO (input/output) event, namely a target IO event, as well as the time delay and IO blocking data of the neutralization stage of the target IO event can be output, and effective analysis data can be provided for IO performance bottleneck point analysis. The application also discloses a performance analysis device, an electronic device and a computer readable storage medium, which can also realize the technical effects.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow diagram illustrating a method of performance analysis in accordance with an exemplary embodiment;
FIG. 2 is a flow diagram illustrating another method of performance analysis in accordance with an exemplary embodiment;
FIG. 3 is a block diagram of a performance analysis device according to an exemplary embodiment;
FIG. 4 is a block diagram illustrating an electronic device in accordance with an exemplary embodiment.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application discloses a performance analysis method, which realizes targeted performance analysis of each stage of an IO event.
Referring to fig. 1, a flow diagram of a performance analysis method is shown, according to an exemplary embodiment, as shown in fig. 1, including:
s101: determining a target IO event, and dividing the target IO event into a plurality of stages;
in specific implementation, a storage device end is used as a front-end engine, a target storage system is used as a back-end storage to establish a storage cluster, and a target storage block is provided for a client through a target interface of the storage device end. The storage cluster may run in a linux platform, and the client may access the target storage block through a target interface of the storage device, that is, the target IO event in this step is an access event of the client to the target storage block.
Preferably, after providing the target storage block for the client through the target interface of the storage device side, the method further includes: and verifying the availability and the performance stability of the target storage block. In a specific implementation, the availability and performance stability of the target storage block may be verified by using a tool, or the availability and performance stability of the target storage block may be verified by directly using a client to access the target storage block, which is not specifically limited herein.
When the storage device end receives a target IO event of the client, the target IO event is added into the queue to be processed, namely, the read event is triggered through epoll, and an access event of the client to the target storage block is added into the queue to be processed. The target IO event may include three stages, where the first stage is to read the target IO event from the queue to be processed for the task processing thread at the storage device end, and call the librbd library to process the target IO event. The second stage is to call the librbd library to add the processed target IO event into a completion queue, and the third stage is to read the target IO event from the completion queue by the task processing thread and return the processed target IO event to the client.
S102: counting the time delay of each stage by dotting the starting time and the ending time of each stage;
in this step, in order to count the time delay of each stage of the target IO time, time dotting needs to be performed at the start time and the end time of each stage. Specifically, the method comprises the following steps: reading the target IO event from the queue to be processed, and determining the current time point as a first time point; calling a target library to process the target IO event, and determining the current time point as a second time point after the processing is finished; adding the processed target IO event into a completion queue, and determining the current time point as a third time point; returning the processed target IO event to the client, and determining the current time point as a fourth time point; and determining the time delay of each stage of the target IO event according to the first time point, the second time point, the third time point and the fourth time point. In a specific implementation, the target library may be the librbd library introduced in the previous step, where the time delay of the first stage is a time difference between the second time point and the first time point, the time delay of the second stage is a time difference between the third time point and the second time point, and the time delay of the third stage is a time difference between the fourth time point and the third time point.
S103: and performing performance analysis on the target IO event based on the time delay of each stage.
In a specific implementation, a user may output the time delay of each stage of the target IO event through a command line so as to perform performance analysis. Of course, a threshold of the total delay may also be set, and when the total delay of the target IO event is greater than the threshold, it indicates that the performance of the current storage cluster is not good, and the delay of each stage of the target IO event is output, so that the user performs analysis and adjustment, that is, this step may include: counting the total time delay of the target IO event based on the time delay of each stage; and when the total time delay is larger than a preset value, outputting the time delay of each stage of the target IO event.
As a preferred embodiment, this embodiment further includes: after the storage cluster is subjected to code updating, re-counting the time delay of each stage of the target IO event; performance analysis is performed based on the time delay of each stage of the re-statistics. In specific implementation, a user may modify a code of a processing logic of a storage cluster, re-count a time delay of each stage of a target IO event after the modification is completed, calculate a total time delay of the target IO event, compare the total time delay with a total time delay before the code is modified, indicate that performance is improved if the total time delay is reduced, receive the modification, indicate that performance is reduced if the total time delay is improved, further compare time delays of each stage before and after the modification, determine a specific stage causing performance reduction, and further optimize the processing logic of the storage cluster.
Therefore, when processing logic related to performance is modified, the influence of the modified code on the performance and the influenced software stack can be found in time through comparison of the code performance before and after modification in a unified scene, the influence of the modified code on the IO performance can be evaluated and found in time, and the analysis of the bottleneck point of the block performance can be realized.
According to the performance analysis method provided by the embodiment of the application, targeted performance analysis is performed through statistical processing of time delay of each stage of IO events at the storage device end. When performance analysis and statistics are needed to be carried out on the storage equipment end, the performance statistics function of the storage equipment end is turned on through the online configuration switch, and a command line is executed, so that the time delay condition of the current IO (input/output) event, namely a target IO event, as well as the time delay and IO blocking data of the neutralization stage of the target IO event can be output, and effective analysis data can be provided for IO performance bottleneck point analysis.
The embodiment of the application discloses a performance analysis method, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
referring to fig. 2, a flow diagram of another performance analysis method is shown in accordance with an exemplary embodiment, as shown in fig. 2, including:
s201: establishing a storage cluster by taking a storage equipment end as a front-end engine and a target storage system as a rear-end storage, and providing a target storage block for the client through a target interface of the storage equipment end;
s202: when receiving an access event of the client to the target storage block, adding the access event into a queue to be processed;
s203: reading the access event from the queue to be processed, and determining the current time point as a first time point;
s204: calling a target library to process the access event, and determining the current time point as a second time point after the processing is finished;
s205: adding the processed access event into a completion queue, and determining the current time point as a third time point;
s206: returning the processed access event to the client, and determining the current time point as a fourth time point;
s207: and determining the time delay of each stage of the access event according to the first time point, the second time point, the third time point and the fourth time point.
S208: counting the total time delay of the target IO event based on the time delay of each stage;
s209: and when the total time delay is larger than a preset value, outputting the time delay of each stage of the target IO event.
In the following, a performance analysis apparatus provided in the embodiments of the present application is introduced, and a performance analysis apparatus described below and a performance analysis method described above may be referred to each other.
Referring to fig. 3, a block diagram of a performance analysis apparatus according to an exemplary embodiment is shown, as shown in fig. 3, including:
a determining module 301, configured to determine a target IO event, and divide the target IO event into multiple stages;
a first statistical module 302, configured to count a time delay of each of the stages by dotting a time of a start time and an end time of each of the stages;
a first analysis module 303, configured to perform performance analysis on the target IO event based on the delay of each stage.
The performance analysis device provided by the embodiment of the application performs targeted performance analysis by performing statistical processing on the time delay of each stage of the IO event at the storage equipment end. When performance analysis and statistics are needed to be carried out on the storage equipment end, the performance statistics function of the storage equipment end is turned on through the online configuration switch, and a command line is executed, so that the time delay condition of the current IO (input/output) event, namely a target IO event, as well as the time delay and IO blocking data of the neutralization stage of the target IO event can be output, and effective analysis data can be provided for IO performance bottleneck point analysis.
On the basis of the above embodiment, as a preferred implementation, the first analysis module 303 includes:
a counting unit, configured to count a total delay of the target IO event based on the delay of each stage;
and the output unit is used for outputting the time delay of each stage of the target IO event when the total time delay is greater than a preset value.
On the basis of the foregoing embodiment, as a preferred implementation, the first statistical module 302 includes:
the first determining unit is used for reading the target IO event from the queue to be processed and determining the current time point as a first time point;
the second determining unit is used for calling the target library to process the target IO event, and determining the current time point as a second time point after the processing is finished;
the third determining unit is used for adding the processed target IO event into the completion queue and determining the current time point as a third time point;
the fourth determining unit is used for returning the processed target IO event to the client and determining the current time point as a fourth time point;
a fifth determining unit, configured to determine a time delay of each stage of the target IO event according to the first time point, the second time point, the third time point, and the fourth time point.
On the basis of the foregoing embodiment, as a preferred implementation, the determining module 301 includes:
the adding unit is used for adding the target IO event into the queue to be processed when the target IO event of the client is received;
and the dividing unit is used for dividing the target IO event into a plurality of stages.
On the basis of the above embodiment, as a preferred implementation, the method further includes:
the system comprises an establishing module, a storage module and a processing module, wherein the establishing module is used for establishing a storage cluster by taking a storage equipment end as a front-end engine and a target storage system as a rear-end storage, and providing a target storage block for the client through a target interface of the storage equipment end;
the adding unit is specifically a unit that adds the access event as the target IO event into the queue to be processed when receiving the access event of the client to the target storage block.
On the basis of the above embodiment, as a preferred implementation, the method further includes:
and the verification module is used for verifying the availability and the performance stability of the target storage block.
On the basis of the above embodiment, as a preferred implementation, the method further includes:
the second counting module is used for counting the time delay of each stage of the target IO event again after the code of the storage cluster is updated;
and the second analysis module is used for carrying out performance analysis based on the time delay of each stage of the re-statistics.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The present application further provides an electronic device, and referring to fig. 4, a structure diagram of an electronic device 400 provided in an embodiment of the present application, as shown in fig. 4, may include a processor 11 and a memory 12. The electronic device 400 may also include one or more of a multimedia component 13, an input/output (I/O) interface 14, and a communication component 15.
The processor 11 is configured to control the overall operation of the electronic device 400, so as to complete all or part of the steps in the performance analysis method. The memory 12 is used to store various types of data to support operation at the electronic device 400, such as instructions for any application or method operating on the electronic device 400 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and so forth. The Memory 12 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia component 13 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 12 or transmitted via the communication component 15. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 14 provides an interface between the processor 11 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 15 is used for wired or wireless communication between the electronic device 400 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so that the corresponding communication component 15 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the electronic Device 400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the performance analysis method described above.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the performance analysis method described above is also provided. For example, the computer readable storage medium may be the memory 12 described above including program instructions that are executable by the processor 11 of the electronic device 400 to perform the performance analysis method described above.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method of performance analysis, comprising:
determining a target IO event, and dividing the target IO event into a plurality of stages;
counting the time delay of each stage by dotting the starting time and the ending time of each stage;
and performing performance analysis on the target IO event based on the time delay of each stage.
2. The performance analysis method according to claim 1, wherein the performing the performance analysis on the target IO event based on the delay of each stage comprises:
counting the total time delay of the target IO event based on the time delay of each stage;
and when the total time delay is larger than a preset value, outputting the time delay of each stage of the target IO event.
3. The performance analysis method of claim 1, wherein the counting the time delay of each of the stages by time dotting the start time and the end time of each of the stages comprises:
reading the target IO event from the queue to be processed, and determining the current time point as a first time point;
calling a target library to process the target IO event, and determining the current time point as a second time point after the processing is finished;
adding the processed target IO event into a completion queue, and determining the current time point as a third time point;
returning the processed target IO event to the client, and determining the current time point as a fourth time point;
and determining the time delay of each stage of the target IO event according to the first time point, the second time point, the third time point and the fourth time point.
4. The performance analysis method of claim 3, wherein the determining a target IO event comprises:
and when the target IO event of the client is received, adding the target IO event into the queue to be processed.
5. The performance analysis method of claim 4, further comprising:
establishing a storage cluster by taking a storage equipment end as a front-end engine and a target storage system as a rear-end storage, and providing a target storage block for the client through a target interface of the storage equipment end;
when the target IO event of the client is received, adding the target IO event into the queue to be processed, including:
and when receiving an access event of the client to the target storage block, adding the access event into the queue to be processed as the target IO event.
6. The performance analysis method according to claim 5, further comprising, after providing the target storage block for the client through the target interface of the storage device side:
and verifying the availability and the performance stability of the target storage block.
7. The performance analysis method of claim 5, further comprising:
after the storage cluster is subjected to code updating, re-counting the time delay of each stage of the target IO event;
performance analysis is performed based on the time delay of each stage of the re-statistics.
8. A performance analysis apparatus, comprising:
the determining module is used for determining a target IO event and dividing the target IO event into a plurality of stages;
the first statistical module is used for counting the time delay of each stage by dotting the starting time and the ending time of each stage;
and the first analysis module is used for carrying out performance analysis on the target IO event based on the time delay of each stage.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the performance analysis method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the performance analysis method according to any one of claims 1 to 7.
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| CN111949221A (en) * | 2020-09-11 | 2020-11-17 | 苏州浪潮智能科技有限公司 | Storage performance analysis method and device for vsphere docking storage system and storage medium |
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