CN111090551A - Method and device for testing and optimizing performance of storage server - Google Patents
Method and device for testing and optimizing performance of storage server Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for testing and optimizing the performance of a storage server, wherein the method comprises the following steps: acquiring index data required by a host end through a system tool, respectively obtaining the degree of deviation of each index of the IOPS and the time delay of the mounting volume, the LV IOPS and the time delay of the logic volume and the utilization rate of each core of the CPU through calculation, and positioning a corresponding performance bottleneck point according to the degree of deviation; index data needed by a storage end is obtained through a system tool, various hardware state information, physical volumes, hard disks and FC port indexes under the current operation are respectively obtained and stored according to a preset strategy, each index variance is obtained through calculation, and corresponding performance bottleneck points are positioned according to each index variance. The embodiment of the invention can effectively combine the host and various performance influence factors for storage, carry out unified analysis and accurately position the performance bottleneck point.
Description
Technical Field
The present invention relates to server technologies, and in particular, to a method and an apparatus for testing and tuning performance of a storage server.
Background
In the process of testing the performance of the storage server, the influence factors are very many, and the bottleneck point is difficult to locate, and the method is mainly divided into three blocks: first, a storage-side performance bottleneck; second, network quality; third, host side problems. The overall performance test result is influenced by any module with a problem, performance fluctuation, poor performance, high delay and the like may occur, real performance improvement of storage is influenced, and even the test result is invalid and fails.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention provide a method and an apparatus for testing and tuning performance of a storage server, which can accurately locate a performance bottleneck point by effectively combining various performance influencing factors of a host and storage, and performing unified analysis.
In order to achieve the object of the present invention, in one aspect, an embodiment of the present invention provides a method for testing and tuning performance of a storage server, including:
acquiring index data required by a host end through a system tool, respectively obtaining the degree of deviation of each index of the IOPS and the time delay of the mounting volume, the LV IOPS and the time delay of the logic volume and the utilization rate of each core of the CPU through calculation, and positioning a corresponding performance bottleneck point according to the degree of deviation;
index data needed by a storage end is obtained through a system tool, various hardware state information, physical volumes, hard disks and FC port indexes under the current operation are respectively obtained and stored according to a preset strategy, each index variance is obtained through calculation, and corresponding performance bottleneck points are positioned according to each index variance.
Further, before the obtaining of the index data required by the host by the system tool, the method further includes:
and carrying out network health degree detection between the host end nodes.
Optionally, the method comprises:
and combining the performance influence factors of the host end and the storage end, and generating an optimization report after analysis.
Optionally, the method comprises:
and each index calculation result is automatically output to the tuning report by taking the host as a unit.
Optionally, the method comprises:
and the tuning report visually displays the performance bottleneck points of the host and the storage through a statistical analysis chart and a statistical method.
Optionally, the method comprises:
and the data acquisition source is used as a storage end data acquisition source through an LDBE tool and a storage operating system interface.
On the other hand, an embodiment of the present invention further provides a device for testing and tuning performance of a storage server, including:
the host end positioning module is used for acquiring index data required by the host end through a system tool, respectively obtaining the degree of deviation of each index of the IOPS and the time delay of the mounting volume, the LV IOPS and the time delay of the logic volume and the utilization rate of each core of the CPU through calculation, and positioning corresponding performance bottleneck points according to the degree of deviation;
and the storage end positioning module is used for acquiring index data required by the storage end through a system tool, respectively acquiring and storing various hardware state information, physical volumes, hard disks and FC (fiber channel) port indexes under the current operation according to a preset strategy, respectively calculating to obtain each index variance, and positioning a corresponding performance bottleneck point according to each index variance.
Optionally, the apparatus is configured to:
and before the index data required by the host end is acquired through the system tool, the network health degree between the host end nodes is detected.
Optionally, the apparatus is configured to:
and combining the performance influence factors of the host end and the storage end, and generating an optimization report after analysis.
Optionally, the apparatus is configured to:
and each index calculation result is automatically output to the tuning report by taking the host as a unit.
Optionally, the apparatus is configured to:
and the tuning report visually displays the performance bottleneck points of the host and the storage through a statistical analysis chart and a statistical method.
Optionally, the apparatus is configured to:
and the data acquisition source is used as a storage end data acquisition source through an LDBE tool and a storage operating system interface.
The method comprises the steps that index data required by a host computer end are obtained through a system tool, the deviation degrees of indexes of IOPS and delay of a mounting volume, LV IOPS and delay and the utilization rate of each core of a CPU are obtained through calculation, and corresponding performance bottleneck points are positioned according to the deviation degrees; index data needed by a storage end is obtained through a system tool, various hardware state information, physical volumes, hard disks and FC port indexes under the current operation are respectively obtained and stored according to a preset strategy, each index variance is obtained through calculation, and corresponding performance bottleneck points are positioned according to each index variance. The embodiment of the invention can effectively combine the host and various performance influence factors for storage, carry out unified analysis and accurately position the performance bottleneck point.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flowchart of a method for testing and tuning performance of a storage server according to an embodiment of the present invention;
fig. 2 is a structural diagram of a storage server performance test tuning apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
Fig. 1 is a flowchart of a method for testing and tuning performance of a storage server according to an embodiment of the present invention, and as shown in fig. 1, the method according to the embodiment of the present invention includes the following steps:
step 101: acquiring index data required by a host end through a system tool, respectively obtaining the degree of deviation of each index of the IOPS and the time delay of the mounting volume, the LV IOPS and the time delay of the logic volume and the utilization rate of each core of the CPU through calculation, and positioning a corresponding performance bottleneck point according to the degree of deviation; the IOPS (Input/Output Operations Per Second) is the number of times of read/write Operations Per Second, and is used to measure the performance of random access.
Specifically, the logical volume group VG is a partition group VG formed by combining physically existing partitions or volumes.
The LV is a logical partition or a logical volume, and is established on the basis of a logical volume group VG, unallocated space in the volume group can be used for establishing a new logical volume, and the space can be dynamically expanded and reduced after the logical volume is established. Creating a successful logical partition may be no different for the operating system than for a normal partition.
The logical partition management LVM is a management tool for Physical Volumes (PV), VG and LV.
The embodiment of the invention provides an adjusting device in a performance test process of a storage server, which can automatically output a report in the performance test process to position a bottleneck point so as to maximize the storage performance.
Step 102: index data needed by a storage end is obtained through a system tool, various hardware state information, physical volumes, hard disks and FC port indexes under the current operation are respectively obtained and stored according to a preset strategy, each index variance is obtained through calculation, and corresponding performance bottleneck points are positioned according to each index variance.
Specifically, before the obtaining of the index data required by the host end by the system tool, the method further includes:
and carrying out network health degree detection between the host end nodes.
Specifically, the embodiment of the invention combines various performance influence factors of the host end and the storage end, and generates the tuning report after analysis.
Specifically, in the embodiment of the present invention, the calculation result of each index is automatically output to the tuning report in units of the host.
Specifically, the tuning report in the embodiment of the present invention visually displays performance bottleneck points of the host and the storage through a statistical analysis chart and a statistical method.
Specifically, the embodiment of the invention uses the LDBE tool and the storage operating system interface as the storage end data acquisition source.
The technical scheme of the embodiment of the invention is explained in detail as follows:
the embodiment of the invention provides an adjusting device in a performance test process of a storage server, which can automatically output a report in the performance test process to position a bottleneck point, thereby improving the storage performance and ensuring the effectiveness of a test result.
The principle of the embodiment of the invention is as follows:
and the device is used as a source data acquisition source based on two tools of iostat and top, analyzes the mounting volume IOPS and delay, LV IOPS and delay, the utilization rate of each core of the CPU and other factor data according to a strategy, and conjectures the bottleneck point.
And the device is used as a data acquisition source through an LDBE tool and a storage operating system interface, and respectively acquires and stores various hardware state information, physical volumes, hard disks, FC IOSP, delay and other factor data under the current operation according to strategies to conjecture the bottleneck point. The LDBE is a tool for checking configuration memory information, and real-time memory information can be checked.
The involved task processes are as follows:
the method comprises the following steps: and establishing initialization operations such as the network topology of the storage environment and the host, the creation of the storage physical volume and the like.
Step two: mapping the stored physical volumes to all hosts, setting the queue depth of the host side and AIO (asynchronous IO), simultaneously starting a performance mode, creating VG and LV according to a strategy, and setting login-free mutual trust before each host.
Step three: the device has the following task processes at the host computer end in the performance test process:
step a 1: and detecting the network health degree among all the host end nodes and outputting the detected network health degree to a report.
Step b 1: capturing LV IOPS and time delay in real time based on iostat, and automatically calculating all LV average IOPS and average time delay. Recording each LV IOPS as I1, I2, I3, … … and In, and recording the average IOPS as VI; similarly, LV delays are denoted as T1, T2, T3, … …, Tn, and the average delay is denoted as VT. Based on the method, each group of LV IOPS variance Si and delay variance St are automatically calculated, then the deviation degree of the LV IOPS and the delay is obtained, and when a certain LV IOPS appears or the deviation degree of the delay is large, a performance bottleneck point is located.
Step c 1: and counting the sum of IOPS provided by each host, adding all LV IOPS on each host, recording the sum as TI1, TI2, TI3, … … and Tin, and automatically calculating the average value of the total IOPS of each host. And then calculating the variance of the total IOPS of each host, and estimating the load balancing degree of the host according to the variance. When partial load imbalance of the hosts occurs, the pressure distribution of each host in the performance test needs to be adjusted, the LV time delay needs to be combined, and the pressure distribution ratio of the hosts is stored until the time delay reaches an average value.
Step d 1: and capturing the utilization rate of each core of each host CPU in real time based on a system tool top, collecting data every N seconds, and then generating a graph of the utilization and change trend of each core of the CPU. Differences between hosts must occur, where priority is given to usage concerns and stability, and when a host CPU core usage suddenly changes to full load or is high, adjustments such as reducing the host's pressure allocation are required.
Step e 1: each item in the device is automatically output to the tuning report by taking the host as a unit.
Step four: in the performance test process, the device has the following task processes at the storage end:
step a 2: and capturing the IOPS and the time delay of the physical volume in real time based on a storage operating system interface, and automatically calculating the average IOPS and the average time delay of all the physical volumes. And a third synchronization step calculates the variance and the delay variance of each physical volume IOPS. And judging whether a bottleneck point exists in the physical volume according to the variance.
Step b 2: and capturing the IOPS and the utilization rate of the hard disk in real time based on a storage operating system interface, and automatically calculating the average IOPS and the average utilization rate of all the hard disks. And a third synchronization step of calculating the variance of each hard disk IOPS and the variance of the utilization rate. And judging whether a damaged disk or a slow disk exists according to the variance, and positioning and replacing the hard disk when the IOPS variance of one disk is large. Usage can locate whether a hard disk performance bottleneck is reached.
Step c 2: and capturing the IOPS and the time delay of the FC port in real time based on the interface of the storage operating system, and automatically calculating the average IOPS and the average time delay of all the FC ports. And a third synchronization step, calculating the variance of the IOPS and the variance of the delay of each FC port. And judging whether the performance imbalance condition of the FC port exists or not according to the variance.
Step d 2: and acquiring the utilization rate of each core of the CPU in real time based on the LDBE, and automatically calculating the average utilization rate of all the cores of the CPU. And a synchronous step three, calculating the variance of the utilization rate of each core. And positioning the performance bottleneck according to the CPU core distribution strategy. Such as: the first 4 cores are automatically allocated to RAID, the next 4 cores are allocated to FC, other cores are allocated to storage operation system tasks, and the cores with large variance are accurately positioned to RAID, FC, storage system and the like, so that the cores are used as the main basis of CPU core-adjusting strategy.
Step e 2: each item in the device is automatically output to the tuning report by taking the host as a unit.
Step five: the device collects all statistical information in the third step and the fourth step, outputs the statistical information to the tuning diagnosis report, visually displays the performance bottleneck points of the host and the storage through a statistical analysis chart and a statistical method, and accurately positions and improves the performance of the storage server.
The technical scheme of the embodiment of the invention mainly has the following gains: and outputting a tuning report, visually displaying the influence of various factors of storage and a host, and conveniently positioning the performance bottleneck. And calculating the deviation degree of each index by adopting a scientific statistical method, and performing key analysis on the factors with larger deviation. The host and the storage of each performance influence factor are effectively combined, uniformly analyzed and accurately positioned.
Fig. 2 is a structural diagram of a storage server performance testing and tuning device according to an embodiment of the present invention, and as shown in fig. 2, a storage server performance testing and tuning device according to another aspect of the embodiment of the present invention includes:
the host end positioning module 201 is configured to obtain index data required by the host end through a system tool, obtain deviation degrees of each index of the mounting volume IOPS and the time delay, the logical volume LV IOPS and the time delay, and the usage rate of each core of the CPU through calculation, and position a corresponding performance bottleneck point according to the deviation degrees;
the storage end positioning module 202 is configured to obtain index data required by the storage end through a system tool, respectively obtain and store various hardware state information, physical volumes, hard disks, and FC port indexes under current operation according to a predetermined policy, respectively calculate each index variance, and position a corresponding performance bottleneck point according to each index variance.
In particular, the apparatus is for:
and before the index data required by the host end is acquired through the system tool, the network health degree between the host end nodes is detected.
In particular, the apparatus is for:
and combining the performance influence factors of the host end and the storage end, and generating an optimization report after analysis.
In particular, the apparatus is for:
and each index calculation result is automatically output to the tuning report by taking the host as a unit.
In particular, the apparatus is for:
and the tuning report visually displays the performance bottleneck points of the host and the storage through a statistical analysis chart and a statistical method.
In particular, the apparatus is for:
and the data acquisition source is used as a storage end data acquisition source through an LDBE tool and a storage operating system interface.
The embodiment of the invention adopts a scientific statistical method to calculate the deviation degree of various indexes, and mainly analyzes the factors with larger deviation. And (4) generating a tuning report after the analysis of the host and the storage terminal. The host and the storage of each performance influence factor are effectively combined, so that the display is intuitive and the positioning is convenient.
In summary, the embodiment of the present invention obtains the index data required by the host end through the system tool, obtains the deviation degrees of the IOPS and the delay of the mount volume, the LV IOPS and the delay, and the usage rates of the cores of the CPU through calculation, and locates the corresponding performance bottleneck points according to the deviation degrees; index data needed by a storage end is obtained through a system tool, various hardware state information, physical volumes, hard disks and FC port indexes under the current operation are respectively obtained and stored according to a preset strategy, each index variance is obtained through calculation, and corresponding performance bottleneck points are positioned according to each index variance. The embodiment of the invention can effectively combine the host and various performance influence factors for storage, carry out unified analysis and accurately position the performance bottleneck point.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for testing and optimizing the performance of a storage server is characterized by comprising the following steps:
acquiring index data required by a host end through a system tool, respectively obtaining the degree of deviation of each index of the IOPS and the time delay of the mounting volume, the LV IOPS and the time delay of the logic volume and the utilization rate of each core of the CPU through calculation, and positioning a corresponding performance bottleneck point according to the degree of deviation;
index data needed by a storage end is obtained through a system tool, various hardware state information, physical volumes, hard disks and FC port indexes under the current operation are respectively obtained and stored according to a preset strategy, each index variance is obtained through calculation, and corresponding performance bottleneck points are positioned according to each index variance.
2. The method for testing and tuning the performance of the storage server according to claim 1, wherein before the obtaining of the index data required by the host by the system tool, the method further comprises:
and carrying out network health degree detection between the host end nodes.
3. The method for tuning storage server performance test according to claim 1, further comprising:
and combining the performance influence factors of the host end and the storage end, and generating an optimization report after analysis.
4. The storage server performance test tuning method of claim 3, further comprising:
and each index calculation result is automatically output to the tuning report by taking the host as a unit.
5. The storage server performance test tuning method of claim 4, further comprising:
and the tuning report visually displays the performance bottleneck points of the host and the storage through a statistical analysis chart and a statistical method.
6. The method for tuning storage server performance test according to claim 1, further comprising:
and the data acquisition source is used as a storage end data acquisition source through an LDBE tool and a storage operating system interface.
7. A storage server performance test tuning device is characterized by comprising:
the host end positioning module is used for acquiring index data required by the host end through a system tool, respectively obtaining the degree of deviation of each index of the IOPS and the time delay of the mounting volume, the LV IOPS and the time delay of the logic volume and the utilization rate of each core of the CPU through calculation, and positioning corresponding performance bottleneck points according to the degree of deviation;
and the storage end positioning module is used for acquiring index data required by the storage end through a system tool, respectively acquiring and storing various hardware state information, physical volumes, hard disks and FC (fiber channel) port indexes under the current operation according to a preset strategy, respectively calculating to obtain each index variance, and positioning a corresponding performance bottleneck point according to each index variance.
8. The storage server performance test tuning apparatus of claim 7, wherein the apparatus is configured to:
and before the index data required by the host end is acquired through the system tool, the network health degree between the host end nodes is detected.
9. The storage server performance test tuning apparatus of claim 7, wherein the apparatus is configured to:
and combining the performance influence factors of the host end and the storage end, and generating an optimization report after analysis.
10. The storage server performance test tuning apparatus of claim 9, wherein the apparatus is configured to:
and each index calculation result is automatically output to the tuning report by taking the host as a unit.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112003762A (en) * | 2020-08-07 | 2020-11-27 | 苏州浪潮智能科技有限公司 | Method and device for testing high reliability of storage device |
| CN112164414A (en) * | 2020-09-25 | 2021-01-01 | 北京浪潮数据技术有限公司 | Method and assembly for testing stability of storage device |
| CN113535407A (en) * | 2021-07-30 | 2021-10-22 | 济南浪潮数据技术有限公司 | Server optimization method, system, equipment and storage medium |
| WO2022078009A1 (en) * | 2020-10-13 | 2022-04-21 | 苏州浪潮智能科技有限公司 | Apparatus and method for testing performance of computer storage system, and storage medium thereof |
-
2019
- 2019-11-22 CN CN201911157794.1A patent/CN111090551A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112003762A (en) * | 2020-08-07 | 2020-11-27 | 苏州浪潮智能科技有限公司 | Method and device for testing high reliability of storage device |
| CN112164414A (en) * | 2020-09-25 | 2021-01-01 | 北京浪潮数据技术有限公司 | Method and assembly for testing stability of storage device |
| CN112164414B (en) * | 2020-09-25 | 2023-12-22 | 北京浪潮数据技术有限公司 | Method and assembly for testing stability of storage device |
| WO2022078009A1 (en) * | 2020-10-13 | 2022-04-21 | 苏州浪潮智能科技有限公司 | Apparatus and method for testing performance of computer storage system, and storage medium thereof |
| CN113535407A (en) * | 2021-07-30 | 2021-10-22 | 济南浪潮数据技术有限公司 | Server optimization method, system, equipment and storage medium |
| CN113535407B (en) * | 2021-07-30 | 2024-03-19 | 济南浪潮数据技术有限公司 | Optimization method, system, equipment and storage medium of server |
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Application publication date: 20200501 |