KR100750834B1 - A method of data call stack tracing in data monitoring of JAVA byte code and a device for storing the method in compter program type - Google Patents

Abstract

A monitoring method and a call relationship tracking method for extracting performance data from a Java application are disclosed. In the monitoring method according to the present invention, a class to be monitored by analyzing a Java virtual machine byte code instruction set of the loaded byte stream immediately before the Java class loader loads the class byte stream into memory on disk or network to generate a class And method can be identified, and additional information extraction code can be inserted into the monitored class method to collect class and method call information. In addition, it is possible to identify the calling relationship of all classes and methods executed by a specific thread by using the data structure of the Java thread and stack executing the class to be monitored and the linked list.

Java Byte Code, Data Monitoring, JVM, Java Byte Code Instrumentation

Description

A method of data call stack tracing in data monitoring of extracting performance data of a Java application through a method of identifying the call relationship of the monitored data and the algorithm using the method when monitoring the data of Java byte code JAVA byte code and a device for storing the method in compter program type}

1 is a flowchart schematically illustrating a monitoring method for extracting data according to the present invention.

2 is a flowchart illustrating specific steps of inserting a performance information extraction code.

3 illustrates a class configuration diagram of an application running on a general web.

4 is a configuration diagram illustrating an application execution sequence according to the class configuration of FIG. 3.

5 exemplarily shows a result of extracting and monitoring performance information according to the present invention by executing the application of FIG. 3.

6 is a block diagram illustrating a class execution process according to the present invention.

7 is a flowchart illustrating a method of tracking data monitoring information according to the present invention.

8 is a flowchart illustrating a tree structure forming step according to the present invention.

FIG. 9 illustrates a call structure in a tree structure of an application having a class structure shown in FIGS. 3 and 4 using the present invention.

10 illustrates an example of displaying a call relationship using the call relationship tracking method of the present invention.

The present invention relates to a Java programming method, and more particularly, to a method for monitoring required data through Java byte code manipulation.

JAVA was originally created to develop a software platform for consumer electronics. In 1995, Sun Microsystems announced the Java language and HotJava due to the platform-independent, JVM-enable download of executable code over the network, and the development of the Internet. It started to come to the world. HotJava is a web browser written in the Java language. And with Netscape, a license agreement made Java available to Netscape browsers, spreading Java worldwide.

On the other hand, for stable application operation, it is necessary to grasp various monitoring information of each application, for example, information about response speed, how much memory the application occupies, class information, method information, and various variables. There is.

In this case, in the related art, in order to monitor classes and methods in Java programming, a method of inserting performance information extraction code for monitoring is used in an application source code.

That is, from the development stage of the application, the performance information extraction code is inserted into the application source code, compiled with the extraction code inserted, and the program is driven. Then, when running the program, the necessary information is monitored through the performance information extraction code.

For example, the timing information extraction code for extracting the CPU time at which a specific class starts operation and the CPU time at which the specific class ends operation can be measured in the application source code. .

In this case, there is a problem that the size of the application increases due to the addition of unnecessary source code. In addition, the classes and methods to be monitored should be managed dynamically, but if you modify the source code of the application, you need to recompile to add / delete the code that collects monitoring information every time. Work is required.

An object of the present invention is to provide a method for easily extracting information without inserting source code at application development stage to obtain monitoring information.

Another technical problem to be achieved by the present invention is to provide a method of extracting monitoring information without the need for re-compiling by modifying the source code of the application every time.

Another technical problem to be achieved by the present invention is to provide a method for identifying the invocation relationship of monitored Java classes and methods.

In order to achieve the object of the present invention as described above, in accordance with a feature of the present invention, the monitoring method for extracting the performance data through the operation of Java byte code, the step of applying an application execution command, the Java virtual machine is a class byte Loading the stream, reading the loaded byte stream and inserting and modulating the monitoring byte code, generating a class corresponding to the modulation byte code into which the monitoring code is inserted, and extracting monitoring target information.

The performance data includes response time, class information, method information, and various parameter information. The monitoring target is designated as an environment file and can be changed dynamically.

Preferably, the monitoring code insertion step includes inserting a start and end method at the beginning and end of the method to be monitored. The monitoring code insertion step, if there is a parameter, the monitoring code is automatically coded to collect the parameter.

More preferably, the step of inserting monitoring code includes analyzing a format of a Java class file, changing a byte code instruction set of a method to be monitored, and inserting performance information extraction code. Steps. In this case, the performance information extraction code insertion step may be inserted through Java byte code instrumentation.

According to another aspect of the present invention, a method for identifying a monitored class and method call relationship through Java byte instrumentation includes a thread of a Java byte executing a class to be monitored. Creating a stack for each step, pushing the monitored data on the stack when the start method is called, popping the monitored data on the stack when the end method is called, and each executing class and method Tracking the call relationship using the link structure of the.

The call relationship tracking step further includes forming the monitored data in a tree structure based on the order of classes and methods corresponding to data pushed and popped in the stack.

Preferably, the tree structure forming step includes: when pushing data to the stack, forming a subtree corresponding to a newly called method under a tree corresponding to a current method; monitoring the generated subtree Mapping the generated data, and when popping the data onto the stack, moving to a higher tree of the tree corresponding to the currently called method.

In order to fully understand the present invention, the advantages of the operability of the present invention, and the objects achieved by the practice of the present invention, reference should be made to the accompanying drawings which illustrate preferred embodiments of the present invention and the contents described in the accompanying drawings.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

1 is a flowchart schematically illustrating a monitoring method for extracting data according to the present invention.

Referring to FIG. 1, in the monitoring method for extracting data according to the present invention, first, when an application execution command is applied to execute an application (S100), a class loader of a Java virtual machine stores a byte stream. Load on (S200). The Java Virtual Machine (JVM) is a feature that allows programs written in Java to run in any environment. At this time, only the original application source code without the code for extracting the performance information exists in the application source code read by the Java virtual machine.

Then, the Java virtual machine identifies the monitored class and method and inserts the performance information extraction byte code into the read application source code (S300). Then, the Java virtual machine generates a class with the changed byte code (S400) and re-executes the application (S500). Then, necessary performance information may be extracted through the executed application (S600).

2 is a flowchart illustrating specific steps of inserting the performance information extraction byte code.

Referring to FIG. 2, the performance information extraction byte code insertion step (S300) first analyzes a format of a Java class file (S301) and changes a byte code instruction set of a method to be monitored. (S302). Then, the performance information extraction code is inserted at a required position in the application source code (S303).

In this case, the step of inserting the performance information extraction code is inserted through a byte code analysis and manipulation technique called Java Byte Code Instrumentation.

Java byte code instrumentation analyzes a series of codes that selects classes and methods to be monitored at runtime of Java application and adds monitoring related byte code instructions without modifying existing application source code. And operation technology.

In order to run a Java application consisting of multiple classes, the custom class loader and the internal class loader of the Java Development Kit (JDK) create a byte stream consisting of the set of byte code instructions that make up the class over disk or over the network. After loading into memory, it is necessary to create a class that can be used in an application through a native method provided by the Java Virtual Machine, that is, defineClass0 () call.

In the process, just before creating a class with a native method call, you can identify the classes and methods being monitored by analyzing the Java virtual machine bytecode instruction set of the loaded byte stream. In addition, a set of byte code instructions for performance and execution information can be added dynamically within the class and method, that is, at the start and end of the method.

For example, if the following source code exists:

public void monitorMethod ()

{

system.out.println ("monitorMethod () called ..");

}

Instead of adding performance information extraction code at the source code level to extract performance data, the performance collection code is inserted dynamically when the application is executed. That is, the Java virtual machine dynamically inserts the performance information extraction code before generating a class from the loaded byte stream.

When the performance information extraction code is inserted, the source code

public void monitorMethod ()

{

J2EECallStackTracer.startGenMethod (this, "monitorMehtod");

system.out.println ("monitorMethod () called ..");

J2EECallStackTracer.endGenMethod (this, "monitorMethod");

}

Becomes

As above, the start method (ie PerColllector.startGenMethod) and the end method (ie PerCollector.endGenMethod) are inserted at the beginning and end of the monitored method.

In addition, the performance information may include the parameter in the performance collection information in some cases when there is a parameter that passes to the argument of the method.

For example, if the following source code exists:

public void monitorMethod (Object param1)

{

system.out.println ("captureMethod () called ..");

}

When the Java virtual machine inserts performance information extraction code that includes parameter information, the source code

public void monitorMethod (Object param)

{

J2EECallStackTracer.startGenMethod (this, "monitorMehtod", parameter);

system.out.println ("captureMethod () called ..");

J2EECallStackTracer.endGenMethod (this, "monitorMethod", parameter);

}

Becomes

3 illustrates a class configuration diagram of an application running on a general web.

The application class diagram of FIG. 3 shows that individual threads in a thread pool of a WAS receive a request of a specific URL, execute various Java classes, and finally query data from a database through JDBC. The class diagram shows a Web application that sends results back to the client.

Referring to FIG. 3, the application may include a mainservlet 301 calling a session facade class 302, and the session facade class may include a business object 303, a business entity 304, and data access. Object (DataAccessObject) 305, and business session (BusinessSession) 306. The data access object 305 performs DBMS related tasks through a Java Database Connectivity (JDBC) class 307 call.

4 is a configuration diagram illustrating an application execution sequence according to the class configuration of FIG. 3.

Referring to FIG. 4, after receiving a specific URL, a thread in the WAS executes the main servlet 301, the main servlet 301 executes the session facade 302, and the session facade 302 is a business entity. 304 is executed. In this order, first access 401 to business entity 304 is terminated.

In addition, the main servlet 301 executes the session facade 302, the session facade 302 executes the business session 306, and the business session 306 executes the business entity 304 again. In this order, the second access 402 to the business session 306 ends.

In addition, the main servlet 301 executes the session facade 302, the session facade 302 executes the data access object 305, and the data access object 305 executes the JDBC 307. In this order, the third access 403 to the data access object 305 is terminated. The main servlet 301 transmits the results of executing each class in this order to the client (ie, a web browser).

The schematic source code of the application of FIG. 3 may be expressed as follows.

(Existing Source-MainServlet)

public void doPost (HttpRequest req, HtpResponse resp)

{

.....

SessionFacad sesseionFacad = new SessionFacad ()

ret1 = sessionFacad.getEntity1 ();

ret2 = sessionFacad.getBusinessSession ();

ret3 = sessionFacad.seletMain ();

.....

}

In addition, according to the present invention, the Java virtual machine reads the original source code and then the monitoring code is inserted before loading into the memory as follows.

public void doPost (HttpRequest req, HtpResponse resp)

{

J2EECallStackTracer.beginServlet (this, "doPost", req);

.....

SessionFacad sessionFacad = new SessionFacad ()

ret1 = sessionFacad.getEntity1 ()

ret2 = sessionFacad.getBusinessSession ();

ret3 = sessionFacad.selectMain ();

.....

J2EECallStackTracer.endServlet (this, "doPost", req);

}

That is, the response time and the CPU time from beginServlet () to endServlet () can be measured by adding methods related to performance data collection (start and end in the above example) at the start and end of the method to be monitored.

5 exemplarily shows a result of extracting and monitoring performance information according to the present invention by executing the application of FIG. 3.

Referring to FIG. 5, the MainServlet 501 of the Servlet category is performed for a total of 2000 ms. This is the sum of the times when three Enterprise JavaBeans (EJB) categories 502, 503, and 504, called SessionFacad, under the MainServlet. In the example of FIG. 5, it is easy to understand that it takes 500ms to call getEntity1 () and getBusinessSession () of EJB of SessionFacad, and selectMain () of SessionFacad is performed for 1000ms.

On the other hand, as described above, the monitoring target may be not only response time but also various parameters, class information, and method information. These monitoring targets may be stored in an environment file.

At this time, when invoking classes and methods through the monitoring code, the monitoring target class information is called through a keyword indicating a class of Java itself, and in the collecting class, the target class name can be extracted through the received class information. The method name to be monitored can be extracted by analyzing the method and constant pool area of the Java class file. In addition, the parameter of the monitored method may extract the parameter through the added byte code instruction set. Thread information that executes the method of the monitored class can be extracted through the API (Application Program Interface) of the JDK (Java Development Kit).

For example, in a class that collects performance information, the response time and CPU time can be measured by the difference between the start time and the end time of the monitored method through the method of extracting the current time and the JDK API call that measures CPU time. .

6 is a block diagram illustrating a class execution process according to the present invention.

Referring to FIG. 6, in the class execution process according to the present invention, a Java thread 601 for first running a Java program is executed. Then, the Java class into which the monitoring code is inserted, that is, the byte code instrumented Java class 602, is executed.

Then, the call information tracking unit 603 according to the present invention determines the mutual call relationship of the called data. At this time, according to the present invention, the call information tracking unit 603 configures the method stack (stack) and the class and method tree constituting the method stack configuration unit 604 and the class and method tree to track the data call order A component 605 is included.

The method stack configuration unit 604 constructs a stack for each thread of Java bytes, inputting (ie, pushing) the monitored data when the start method is called, and outputting the monitored data from the stack when the end method is called. That is, it functions to pop. The data call order in the method stack constructing unit 604 and the tree structure in the method and class tree constructing unit 605 may be displayed to the user in the display unit 606.

7 is a flowchart illustrating a method of tracking data monitoring information according to the present invention.

Referring to FIG. 7, the monitoring information tracking method according to the present invention first generates a stack for each thread of Java bytes when a Java class into which monitoring code is inserted is executed (S701). When the start method is called by the monitoring code, the monitored data is pushed to the generated stack (S703). In addition, when the end method is called by the monitoring code, the monitored data of the corresponding method is popped from the stack (S704). Then, the data pushed or popped on the stack is sorted according to the order to form a call relationship in a tree structure (S705). Then, the tree structure and the monitoring information corresponding to the tree structure are displayed to the user (S706).

The stack structure has a structure of FILO (First In Last Out). That is, the first input data is output at the end, and has the structure output from the last input data. By storing the called data in a stack structure like this and creating it as a tree structure, you can track the invocation relationships of all classes and methods.

8 is a flowchart illustrating a tree structure forming step according to the present invention.

Referring to FIG. 8, in the tree structure forming step, when a Java class in which monitoring code is inserted is executed to call data (S801), when pushing data from the stack by a start method call, the tree corresponding to the current method is below the tree corresponding to the current method. A subtree corresponding to the newly called method is formed at step S802, and the monitored data is mapped to the generated subtree at step S804. If data is popped from the stack by the end method call, the controller moves to the upper tree of the tree corresponding to the currently called method (S803). Then, we repeat the call to the data of the next called method to complete the tree structure.

This tree structure becomes the data structure of the Java thread and stack executing the monitored class and the linked list, and can be used to identify the invocation relations of all classes and methods executed by a specific thread.

FIG. 9 illustrates a call structure in a tree structure of an application having a class structure shown in FIGS. 3 and 4 using the present invention.

3, 4 and 9, a call relationship tracking method of monitoring information and a tree forming process using the same according to the present invention will be described in detail.

When the Java call thread is executed, as shown in the first access step 401 of FIG. 4, the MainServlet class 301 is called to input data monitored by the MainServlet 301 to the stack (S901). The MainServlet 301 calls the SessionFacad class 302 (S902). The data monitored by SessionFacad 302 is then entered into the stack. SessionFacad 302 then calls BusinessEntity 304 (S903), and the data monitored by BusinessEntity 304 is input to the stack. Then, the monitored data is output from the stack by the business method 304 by the end method call, and then the monitored data is output from the stack by SessinFacad 302.

Then, as shown in the second access step 402 of FIG. 4, the MainServelt 301 again calls the SessionFacad 302 again (S904), and other data monitored by the SessionFacad 302 is entered into the stack. . Then, SessionFacad 302 calls BusinessEntity 304 again (S905). Then, the data monitored by BusinessEntity 304 is entered into the stack. Then, when execution of each class is finished, data is output from the stack in the order of BusinessEntity 304 and SessionFacad 302.

As shown in the third access step 403 of FIG. 4, the MainServlet 301 again calls the SessionFacad 302 again (S906), and another data monitored by the SessionFacad 302 is input to the stack. . SessionFacad 302 then calls BusinessDAO (DataAccessObject) 305 (S907). The data monitored by BusinessDAO 305 is then entered into the stack. The BusinessDAO 305 calls the JDBC 307, and the data monitored by the JDBC 307 is input to the stack (S908). When execution of the JDBC 307 is completed, data is output from the stack in the order of the JDBC 307, the BusinessDAO 305, and the SessionFacad 302.

After this process, the tree structure shown in FIG. 9 may be completed.

10 shows an example of displaying a call relationship using the call relationship tracking method of the present invention.

Referring to FIG. 10, looking at the No. 2 Servlet category, it can be seen that all takes 597 ms. Among the subclasses of Servlet, the Servlet category shown in 5 is 589ms, which takes up the most time. Among them, the 7th Servlet category occupies 528ms, which consumes the most time.

In this way, it is possible to easily find the applications and bottlenecks that are the main causes of performance degradation through monitoring data such as call relations and response times using the call relation tracking method according to the present invention. If the cause of such deterioration can be found, the countermeasures can be easily found, which will contribute to the stable operation of the computer system and the improvement of the corporate image.

In the example illustrated in FIG. 10, it is easy to find that the 11th JDBC CONN category, that is, the java.sql.connection # prepareStatement class is the main cause of the performance degradation.

Through the monitored response time, various parameters, class and method information, it is possible to grasp each information of the corresponding application code, optimize the program, and solve various problems appropriately.

Although the present invention has been described with reference to one embodiment shown in the drawings, this is merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. . Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

According to the monitoring method according to the present invention, it is possible to detect various monitoring targets without inserting the monitoring code in the application development stage, thereby eliminating the consuming work of modifying and compiling the application source code every time.

In addition, using the call relationship tracking method according to the present invention, it is possible to easily identify the bottleneck section of the Java application composed of a number of classes and methods, and contribute to the performance improvement of the application by modifying the corresponding classes and methods and SQL.

Claims (13)

In the monitoring method for extracting performance data through Java byte code manipulation, Applying an application execution command; The Java virtual machine loading the byte code stream into memory; Analyzing a byte code instruction of a loaded clat and inserting and modulating a monitoring code for monitoring performance data in the loaded source code; Generating a class with byte codes into which the monitoring code is inserted; And Extracting and processing the monitored information; Inserting the monitoring code, Analyzing a format of a Java class file; Changing a byte code instruction set of a method to be monitored; And And inserting the performance information extraction code. The method of claim 1, The performance data includes a response time, class information, method information, and various parameter information. The method of claim 2, The monitoring method may be specified as an environment file. The method of claim 1, The step of inserting the monitoring code monitoring method comprising the step of inserting the start and end methods at the beginning and end of the method to be monitored. The method of claim 4, wherein Inserting the monitoring code, And if there is a parameter in the monitored method, the monitoring code is automatically coded to collect the parameter in the monitored method. delete The method of claim 1, The performance information extraction code insertion step, characterized in that the insertion through the byte code analysis and manipulation techniques commonly called Java byte code instrumentation. A computer-readable recording medium for extracting various performance data of a Java application through an algorithm using the monitoring method according to claim 1. delete delete delete delete delete

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