CN107346285A - A kind of method for detecting memory leakage and device - Google Patents

Abstract

The invention discloses a method for detecting memory leaks. The method comprises the following steps: during the running process of the target program, periodically sampling the memory size occupied by the target program to obtain sampling data with a set duration; based on the sampling data, generating memory occupation Curve graph: According to the graphical trend of the memory usage graph, determine whether there is a memory leak in the target program. By applying the technical solution provided by the embodiment of the present invention, it is possible to simply, quickly and accurately locate whether the target program has a memory leak, and avoid the problem of program developers analyzing a large number of system logs and program source code, or introducing intrusive memory leak tools. The cumbersome method shortens the memory leak detection time and improves work efficiency. The invention also discloses a memory leakage device, which has corresponding technical effects.

Description

Method and device for detecting memory leaks

technical field

The invention relates to the technical field of software development, in particular to a memory leak detection method and device.

Background technique

Memory leaks are a common problem in software development. Memory leak (Memory Leak) refers to the failure to release the memory that is no longer used during the running of the program, and it is mostly caused by the improper operation of the memory by the program developer. Determining whether there is a memory leak is a key prerequisite for further solving the memory leak problem.

At present, most of them rely on the rich debugging experience of program developers to determine whether there is a memory leak, or detect it through a memory leak detection tool.

There are certain shortcomings in traditional memory leak detection methods. First of all, human judgment is prone to errors, and the requirements for program developers are high, and the learning cost is high; secondly, most of the existing memory leak detection tools are intrusive detection, which need to be embedded into the program source code and recompiled before they can be used. , the development workload is large, the required memory leak detection time is long, and the work efficiency is low.

Contents of the invention

The object of the present invention is to provide a memory leak detection method and device, which can simply and effectively determine whether there is a memory leak, shorten the memory leak detection time, and improve work efficiency.

In order to solve the above technical problems, the present invention provides the following technical solutions:

A memory leak detection method, comprising:

During the operation of the target program, periodically sample the memory size occupied by the target program to obtain sampling data of a set duration;

Based on the sampling data, generate a memory usage graph;

According to the graph trend of the memory usage graph, it is determined whether the target program has a memory leak.

In a specific implementation manner of the present invention, the determining whether there is a memory leak in the target program according to the graphic trend of the memory usage graph includes:

If the graphic trend of the memory usage graph is always an increasing trend, it is determined that the target program has a memory leak.

In a specific implementation manner of the present invention, after determining that the target program has a memory leak, it further includes:

Mark the target program, or output warning information, where the warning information carries the running number PID of the target program.

In a specific implementation manner of the present invention, the periodic sampling of the memory size occupied by the target program includes:

The memory size occupied by the target program is periodically sampled by using the memory mapping command of the operating system itself.

In a specific embodiment of the present invention, when the operating system is a Linux operating system, the memory mapping command is a pmap command; when the operating system is a Windows operating system, the memory mapping command is a tasklist command.

A memory leak detection device, comprising:

The sampling data acquisition module is used to periodically sample the memory size occupied by the target program during the operation of the target program to obtain sampling data of a set duration;

A graph generation module, configured to generate a memory usage graph based on the sampling data;

The memory leak determination module is configured to determine whether the target program has a memory leak according to the graphical trend of the memory usage graph.

In a specific implementation manner of the present invention, the memory leak determination module is specifically used for:

If the graphic trend of the memory usage graph is always an increasing trend, it is determined that the target program has a memory leak.

In a specific embodiment of the present invention, it also includes a post-processing module for:

After determining that the target program has a memory leak, mark the target program, or output a warning message, where the warning message carries the running number PID of the target program.

In a specific implementation manner of the present invention, the sampling data obtaining module is specifically used for:

The memory size occupied by the target program is periodically sampled by using the memory mapping command of the operating system itself.

In a specific embodiment of the present invention, when the operating system is a Linux operating system, the memory mapping command is a pmap command; when the operating system is a Windows operating system, the memory mapping command is a tasklist command.

Applying the technical solution provided by the embodiment of the present invention, during the running process of the target program, the memory size occupied by the target program is periodically sampled, and the sampling data of the set duration can be obtained, based on the sampling data, the memory usage curve is generated, and according to the memory Occupy the graphical trend of the graph to determine whether there is a memory leak in the target program. It can simply, quickly and accurately locate whether the target program has a memory leak, avoiding the cumbersome way of program developers analyzing a large number of system logs and program source code, or introducing intrusive memory leak tools, shortening the memory leak detection time and improving work efficiency.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

Fig. 1 is the implementation flowchart of a kind of memory leak detection method in the embodiment of the present invention;

FIG. 2 is a schematic diagram of a memory usage graph in an embodiment of the present invention;

FIG. 3 is another schematic diagram of a memory usage graph in an embodiment of the present invention;

FIG. 4 is another schematic diagram of a memory usage graph in an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a memory leak detection device in an embodiment of the present invention.

detailed description

In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Referring to FIG. 1 , it is an implementation flowchart of a memory leak detection method provided by an embodiment of the present invention. The method may include the following steps:

S110: During the running process of the target program, periodically sample the memory size occupied by the target program to obtain sampling data of a set duration.

In practical applications, several programs can be installed in the system, and each program has a requirement for memory occupation during operation, and the normal operation process of each program is also a process of memory occupation and memory release, occupying a certain amount of memory when needed , freeing memory that is no longer in use.

The program installed in the system can be monitored, and when the target program is detected to be running, it can start to periodically sample the memory size occupied by the target program. The target program is any program installed in the pre-specified system.

Specifically, the simple shell language can be combined to use the memory mapping command of the operating system to periodically sample the memory size occupied by the target program. For example, when the operating system is a Linux operating system, the memory mapping command is the pmap command, and the operating system is Windows. system, the memory mapping command is the tasklist command. The PID of the target program can be used as the input parameter of the pmap command or the tasklist command, and the PID is the number assigned by the system to the running program.

It should be noted that the memory mapping commands are not limited to the ones listed above, and may also be other memory mapping commands with the same function, which is not limited in this embodiment of the present invention.

Use the memory mapping command of the operating system itself to periodically sample the memory size occupied by the target program in a non-intrusive manner, without any modification to the program source code.

During the running process of the target program, the memory size occupied by the target program is periodically sampled, and the sampling data of the set duration can be obtained. The sampling data includes information about the memory size occupied by the target program at each sampling moment.

The sampling period can be set and adjusted according to the actual situation, for example, the sampling period is set to 10 seconds, which is not limited in this embodiment of the present invention.

In addition, it should be noted that when the target program is running normally, the memory size it occupies fluctuates greatly at the initial stage of operation. As the running time increases, the memory size occupied tends to be stable. Therefore, the duration setting should not be too small. It can be set and adjusted according to the actual situation. For example, it is set to 1 hour, which is not limited in the embodiment of the present invention.

S120: Generate a memory usage graph based on the sampling data.

In step S110, sampling data of a set duration is obtained, and the sampling data includes information about the memory size occupied by the target program at each sampling moment. Based on the sampled data, a graph of memory usage can be generated. Specifically, a drawing tool, such as an Excel tool, can be used to draw a graph of memory usage. The x-axis represents the sampling time, and the y-axis represents the size of the memory usage.

S130: Determine whether there is a memory leak in the target program according to the graphical trend of the memory usage graph.

The memory usage graph is generated based on the sampling data of a set duration, and it has a certain graphical trend. In the embodiment of the present invention, it may be determined whether there is a memory leak in the target program according to the graphical trend of the memory usage graph.

Specifically, if the graphical trend of the memory usage graph is always an increasing trend, it is determined that the target program has a memory leak.

It is understandable that during the running of the target program, the memory size occupied by it has certain fluctuations. At the initial stage of the target program running, the memory size it occupies may not be large. As the running time increases, the memory size it occupies gradually increases. After running for a period of time, the peak value reaches a relatively stable state and no longer increases significantly. During the normal operation of the target program, it will continue to occupy memory and release the memory that is no longer used. As the running time increases, the memory size occupied by the target program will not increase significantly, but will fluctuate normally.

Therefore, if periodic sampling is performed after the target program has been running for a period of time to obtain sampling data of a set duration, and the graphic trend of the memory usage graph generated based on the sampling data is a steady trend, it means that the target program is running normally and there is no memory leak, such as As shown in FIG. 2, the abscissa represents the sampling time time, and the ordinate represents the memory occupation size memory.

If periodic sampling is performed when the target program starts to run to obtain sampled data of a set duration, and the graphic trend of the memory usage graph generated based on the sampled data shows a peak and stable trend, it means that the target program is running normally and has no memory leaks, such as As shown in FIG. 3, the abscissa represents the sampling time time, and the ordinate represents the memory occupation size memory.

However, during the running of the target program, if the memory is not released normally, the memory size occupied by it will continue to increase, and the graphic trend of the memory usage graph shows an increasing trend, as shown in Figure 4, where the abscissa represents The sampling time is time, and the ordinate indicates the memory usage size memory. In this case, it can be determined that the target program has a memory leak.

In the embodiment of the present invention, non-intrusive memory leak detection is performed based on statistical principles, which can simply and quickly locate whether a target program has a memory leak, and provide decision-making basis for further solving the memory leak problem.

By applying the method provided by the embodiment of the present invention, during the running process of the target program, the memory size occupied by the target program is periodically sampled to obtain sampling data of a set duration, and based on the sampling data, a memory usage graph is generated, and according to the memory usage The graphical trend of the graph determines whether there is a memory leak in the target program. It can simply, quickly and accurately locate whether the target program has a memory leak, avoiding the cumbersome way of program developers analyzing a large number of system logs and program source code, or introducing intrusive memory leak tools, shortening the memory leak detection time and improving work efficiency.

In one embodiment of the present invention, after determining that the target program has a memory leak, the method may further include the following steps:

Mark the target program, or output an alarm message, which carries the running number PID of the target program.

After it is determined that the target program has a memory leak, the target program can be marked, or an alarm message can be output, so that the program developer can further analyze and solve the memory leak problem. The alarm information may carry the running number PID of the target program.

The memory leak detection method provided by the embodiment of the present invention is simple to operate, and can be executed by operation and maintenance personnel in practical applications. When memory leaks are determined, they can be handed over to program developers for further solutions, which can reduce human resource investment costs.

Corresponding to the above method embodiments, an embodiment of the present invention also provides a memory leak detection device, and a memory leak detection device described below and a memory leak detection method described above can be referred to in correspondence.

Referring to Fig. 5, the device may include the following modules:

The sampling data acquisition module 510 is used to periodically sample the memory size occupied by the target program during the running of the target program to obtain sampling data of a set duration;

A graph generating module 520, configured to generate a memory usage graph based on the sampling data;

The memory leak determination module 530 is configured to determine whether there is a memory leak in the target program according to the graphical trend of the memory usage graph.

Using the device provided by the embodiment of the present invention, during the running of the target program, the memory size occupied by the target program is periodically sampled to obtain sampling data of a set duration, and based on the sampling data, a memory usage graph is generated, and according to the memory usage The graphical trend of the graph determines whether there is a memory leak in the target program. It can simply, quickly and accurately locate whether the target program has a memory leak, avoiding the cumbersome way of program developers analyzing a large number of system logs and program source code, or introducing intrusive memory leak tools, shortening the memory leak detection time and improving work efficiency.

In a specific implementation manner of the present invention, the memory leak determination module 530 is specifically used for:

If the graphic trend of the memory usage graph is always an increasing trend, it is determined that the target program has a memory leak.

In a specific embodiment of the present invention, it also includes a post-processing module for:

After it is determined that the target program has a memory leak, mark the target program, or output an alarm message, which carries the running number PID of the target program.

In a specific implementation manner of the present invention, the sampling data obtaining module 510 is specifically used for:

Use the operating system's own memory mapping command to periodically sample the memory size occupied by the target program.

In a specific embodiment of the present invention, when the operating system is a Linux operating system, the memory mapping command is a pmap command; when the operating system is a Windows operating system, the memory mapping command is a tasklist command.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for the related information, please refer to the description of the method part.

Professionals can further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software or a combination of the two. In order to clearly illustrate the possible For interchangeability, in the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

In this paper, specific examples are used to illustrate the principles and implementation methods of the present invention, and the descriptions of the above embodiments are only used to help understand the technical solutions and core ideas of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, some improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims (10)

1. A kind of 1. method for detecting memory leakage, it is characterised in that including：

   In target program running, periodic sampling is carried out to the memory size that the target program takes, when obtaining setting Long sampled data；

   Based on the sampled data, EMS memory occupation curve map is generated；

   According to the figure tendency of the EMS memory occupation curve map, determine that the target program whether there is RAM leakage.
2. 2. method for detecting memory leakage according to claim 1, it is characterised in that described according to the EMS memory occupation curve The figure tendency of figure, determine that the target program whether there is RAM leakage, including：

   If the figure tendency of the EMS memory occupation curve map is increasing trend always, it is determined that the target program has internal memory Leakage.
3. 3. method for detecting memory leakage according to claim 2, it is characterised in that determine that the target program is deposited described After RAM leakage, in addition to：

   The target program, or outputting alarm information are marked, the operation that the target program is carried in the warning information is compiled Number PID.
4. 4. according to the method for detecting memory leakage described in any one of claims 1 to 3, it is characterised in that described to the target The memory size that program takes carries out periodic sampling, including：

   The memory size taken using the internal memory mapping directive of operating system itself to the target program carries out periodic sampling.
5. 5. method for detecting memory leakage according to claim 4, it is characterised in that the operating system operates for Linux During system, the internal memory mapping directive is pmap orders；When the operating system is Windows operating system, the internal memory reflects It is tasklist orders to penetrate order.
6. A kind of 6. memory leak detecting device, it is characterised in that including：

   Sampled data obtains module, in target program running, the memory size taken to the target program to enter Row periodic sampling, obtain the sampled data of setting duration；

   Curve map generation module, for based on the sampled data, generating EMS memory occupation curve map；

   RAM leakage determining module, for the figure tendency according to the EMS memory occupation curve map, determine that the target program is It is no RAM leakage to be present.
7. 7. memory leak detecting device according to claim 6, it is characterised in that the RAM leakage determining module, tool Body is used for：

   If the figure tendency of the EMS memory occupation curve map is increasing trend always, it is determined that the target program has internal memory Leakage.
8. 8. memory leak detecting device according to claim 7, it is characterised in that also including post-processing module, be used for：

   After the determination target program has RAM leakage, the target program, or outputting alarm information are marked, The operation numbering PID of the target program is carried in the warning information.
9. 9. the memory leak detecting device according to any one of claim 6 to 8, it is characterised in that the sampled data obtains Module is obtained, is specifically used for：

   The memory size taken using the internal memory mapping directive of operating system itself to the target program carries out periodic sampling.
10. 10. memory leak detecting device according to claim 9, it is characterised in that the operating system operates for Linux During system, the internal memory mapping directive is pmap orders；When the operating system is Windows operating system, the internal memory reflects It is tasklist orders to penetrate order.