JP2019149079A - Failure influence investigation apparatus and failure influence investigation method - Google Patents

Abstract

To allow failure influence investigation in a batch job to be comprehensive and efficient and also to allow a result of the investigation to be suitably presented in response to the need.SOLUTION: A failure influence investigation apparatus 100 has a storage device 101 for storing information relating to a hierarchical structure of a batch job relating to each job, and an arithmetic apparatus 104 for specifying, as a failure influence region, a series of jobs and job nets having input and outputs from and to one another in a job and between jobs starting from a job as an origin of an abend in a predetermined job based on input and output relationship between jobs and job nets indicated by information relating to the hierarchical structure, and for creating at least either of a directed graph connected by an edge between nodes as jobs and job nets belonging at least to the failure influence region, a list of jobs and job nets belonging to the failure influence region, and a displayed graph obtained by collecting the number of jobs or job nets belonging to the failure influence region by a job unit.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a failure effect investigation device and a failure effect investigation method. Specifically, the failure effect investigation in a batch job is made comprehensive and efficient, and the investigation result is matched to the needs. The present invention relates to a technique that can be preferably presented.

  In a large-scale system such as a core system in a financial institution, a series of jobs are appropriately combined and batch-processed to perform information processing necessary for business execution. If a failure occurs in any of the jobs that are batch-processed in this way, the influence on other related jobs may spread, and the execution of the task may be hindered.

  Therefore, there is a technology that can cope with such a failure and collect necessary information for recovery. Examples of such a technique include a job management system in which a server and a client are communicably connected via a network, and the server is arbitrarily set for each job net and job. The job net / job database that stores the elements (subsequent job nets and / or jobs), recovery priority level, end deadline time, and scheduled start time, and the subsequent elements of the job net or job where the error occurred are abnormal. The expected recovery time database that stores the expected recovery time from the occurrence to the normal start of operation, the error occurrence detection means for detecting that an error has occurred in the job net or job, and the job net or job in which the error has occurred It is judged whether recovery priority level is set for each subsequent element. Is a recovery priority level determination means for comparing recovery priority levels between subsequent elements, and whether or not an end deadline time is set for each subsequent element of a job net or job in which an error has occurred. If it is, the end deadline time determination means for comparing the end deadline time between the subsequent elements, and whether the scheduled start time is set for each subsequent element of the job net or job in which an error has occurred If set, whether or not the scheduled start time determination means for comparing the scheduled start time between the subsequent elements and the expected recovery time are stored for each subsequent element of the job net or job in which an abnormality has occurred. If it is stored, and if stored, the expected recovery time determination means for comparing the expected recovery time between the subsequent elements, and the process of the subsequent element based on each determination comparison result. A recovery order determining means for determining a rank, job management system, characterized in that it comprises a notifying means for notifying the recovery ranking the determined user (see Patent Document 1) have been proposed.

  Also, the job definition database that can define the job definition and the waiting conditions for the preceding and succeeding jobs, and the job definition information stored in this job definition database are read, and the preceding and succeeding relationships of the preceding jobs and succeeding jobs of the defined jobs are read. In a job operation management system having a search means for searching, a preceding job is specified as a search condition on a search screen provided by the searching means, and a job search having a subsequent relationship with the preceding job is executed and search result information is retained. And a means for displaying a subsequent job having a subsequent relationship with the preceding job by re-specifying one of the search result information and performing a recursive search on the search screen. Patent Document 2) is also proposed.

Japanese Patent Laying-Open No. 2015-64723 JP 2013-257803 A

  Incidentally, the above-described job is a constituent element of a job net composed of a series of jobs. The job net is also a constituent element of a series of job nets. Further, the job net group can also be a unit element of the higher-level configuration. In such job inclusion relationship, the above-mentioned job constitutes the minimum processing unit related to the job, and the inclusion relationship expands as the job net including the job net, further including the job net group, and the group of jobs gradually increases. . In other words, for each business category of each business, the inclusion relation regarding the job is defined in a hierarchical structure in accordance with the size of the processing unit.

  In the hierarchical structure as described above, it is assumed that a failure has occurred in one of the jobs and an influence range is to be specified. However, in the prior art etc., the scope of influence is beyond the affiliation structure and hierarchy of the job, or across other business divisions and other business, and even across jobs from external systems. Can not be identified.

  Therefore, in order to identify such an impact range, it is necessary to conduct a survey of appropriate scale each time through human intervention. These surveys need to investigate a huge number of jobs without any omissions, and are very difficult in themselves, and have a strong personality that depends on the skills and experience of responding personnel. The accuracy and efficiency of the system are likely to be unstable.

  Further, even if the above-described investigation is performed, the function of comprehensively displaying the information on the influence range as the investigation result and dynamically controlling the contents according to the user's needs is not provided.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a technology that makes it possible to comprehensively and efficiently investigate a failure influence in a batch job and to present the results of the investigation appropriately in accordance with needs.

  The failure impact investigation device of the present invention that solves the above problems includes a storage device that stores information relating to a hierarchical structure of a batch job including at least each hierarchy of a job relating to each job and a job net composed of a series of the jobs, Based on at least the input / output relationship between jobs and job nets indicated by the information related to the hierarchical structure, the input / output relationship is established within the business and between the business, starting with the job that is subject to abend generation in the given business. A process for specifying a series of jobs and job nets as a failure influence range, and a directed graph or an undirected graph in which at least each of jobs and job nets belonging to the failure influence range is a node and each of the nodes is connected by an edge , A list of jobs and job nets belonging to the failure impact range, A processing unit that generates and outputs to at least one of a graph in which the number of jobs or job nets belonging to the failure-affected range is aggregated and displayed for each business unit, and outputs to a predetermined device. And

The failure impact investigation method of the present invention is an information processing apparatus comprising a storage device that stores information relating to a hierarchical structure of a batch job including at least each hierarchy of a job relating to each job and a job net composed of a series of the jobs. Based on at least the input / output relationship between jobs and between job nets indicated by the information related to the hierarchical structure, the input / output relationship is established within the job and between jobs, starting from the job that is subject to abend generation in a given job. And a directed graph or undirected graph in which at least each of jobs and job nets belonging to the failure influence range is a node, and each of the nodes is connected by an edge. And a list of jobs and job nets that belong to the failure-affected range When, and executes a processing for outputting a predetermined unit number graph summary display for each business unit, of generating at least one of a job to the job net belonging to the fault influence range.

  According to the present invention, it is possible to comprehensively and efficiently investigate a failure influence in a batch job, and it is possible to suitably present a result of the investigation according to needs.

It is a network block diagram containing the failure influence investigation apparatus of this embodiment. It is a figure which shows the hardware structural example of the failure influence investigation apparatus in this embodiment. It is a figure which shows the concept of the hierarchical structure example of the job in this embodiment. It is a figure which shows the job hierarchy structure example 1 of this embodiment. It is a figure which shows the job hierarchy structure example 2 of this embodiment. It is a figure which shows the data structural example of the hierarchical structure information of this embodiment. It is a figure which shows the data structural example of the connection information of this embodiment. It is a figure which shows the example of a data structure of the pending | holding / hold release information of this embodiment. It is a figure which shows the example of a data structure of the operation log of this embodiment. It is a figure which shows the example of a data structure of the event transmission file of this embodiment. It is a figure which shows the example of a data structure of the event reception file of this embodiment. It is a figure which shows the example 1 of a flow of the failure influence investigation method in this embodiment. It is a figure which shows the example 2 of a flow of the failure influence investigation method in this embodiment. It is a figure which shows the example 3 of a flow of the failure influence investigation method in this embodiment. It is a figure which shows the example 4 of a flow of the failure influence investigation method in this embodiment. It is a figure which shows the example 5 of a flow of the failure influence investigation method in this embodiment. It is a figure which shows the example 1 of a screen in this embodiment. It is a figure which shows the example 2 of a screen in this embodiment. It is a figure which shows the example 3 of a screen in this embodiment. It is a figure which shows the example 4 of a screen in this embodiment. It is a figure which shows the example 5 of a screen in this embodiment.

--- Network configuration ---
Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a network configuration diagram including a failure impact investigation device 100 of the present embodiment.

  A failure impact investigation apparatus 100 shown in FIG. 1 is a computer device that makes a failure impact investigation in a batch job comprehensive and efficient, and that the investigation results can be suitably presented according to needs.

  The failure impact investigation device 100 can be assumed to be a server device operated by, for example, a system management department of a financial institution or a vendor outsourced thereto. The failure impact investigation device 100 is communicably connected to the user terminal 200 and the investigation target system 300 via the secure network 10 in the operation organization.

Among these, the user terminal 200 is an information processing apparatus operated by a person in charge of failure impact investigation work in the above-described system department or vendor. The survey target system 300 is assumed to be a business system in a financial institution or the like. The business system that is the survey target system 300 is not particularly limited.
--- Hardware configuration ---

  Further, the hardware configuration of the failure impact investigation device 100 of the present embodiment is as follows. FIG. 2 is a diagram illustrating a hardware configuration example of the failure impact research apparatus 100 according to the present embodiment.

  The failure impact investigation device 100 is held in a storage device 101 composed of an appropriate nonvolatile storage element such as an SSD (Solid State Drive) or a hard disk drive, a memory 103 composed of a volatile storage element such as a RAM, and the storage device 101. The program 102 is read out to the memory 103 and executed to perform overall control of the device itself, and the CPU 102 and other devices such as a CPU for performing various determinations, calculations, and control processes, and the network 10 are connected to the user terminal 200 and the investigation. A communication apparatus 105 that performs communication processing with other apparatuses such as the target system 300.

  Note that the failure support apparatus 100 according to the present embodiment may further include an input device that receives key input and voice input from a user, and an output device such as a display that displays processing data, as necessary.

Further, in the storage device 101, in addition to the program 102 for implementing functions necessary as the failure impact investigation device 100 of this embodiment, the hierarchical structure information 125, connection information 126, hold / hold release information 127, operation A log 128, an event transmission file 129, and an event reception file 130 are stored at least. Details of these pieces of information will be described later. In addition, the failure impact investigation device 100 according to the present embodiment stores the failure impact range information 150 acquired by executing the failure impact investigation method in the memory 103, and the source of the display processing to be performed according to the subsequent user instruction To do.
--- About the hierarchical structure of jobs ---
Here, the concept of the hierarchical structure of jobs in this embodiment will be described. 3 to 5 show the concept of an example of the job hierarchy structure in this embodiment.

  First, as illustrated in FIG. 3, in the hierarchical structure, for example, a root job group corresponding to a scheduler service (for example, a server unit) of the business is set as the highest hierarchy.

  The root job group includes a plurality of job groups 1 in a subordinate hierarchy. This job group 1 is provided for each business system such as foreign exchange and deposit, and its value is, for example, system ID + business system name.

  The job group 1 includes a plurality of job groups 2 in the hierarchy below. This job group 2 is provided for each calendar type of batch job execution, and its value is, for example, T-regular, U-irregular.

  The job group 2 includes a plurality of root job nets in a subordinate hierarchy. This route job net is provided for each business category such as foreign remittance and deposit balance management, and the value is, for example, system ID + calendar type + business category + serial number.

  A nested job net includes a plurality of jobs in a subordinate hierarchy. This nested job net is provided for each function to be executed by executing a series of jobs such as execution of a predetermined program, classification and transmission of execution results, and the value is, for example, the value of the root job net Value + work cycle + serial number.

A job is a component at the bottom of the hierarchical structure, that is, a terminal component. For example, a job is provided for each unit function such as execution of a predetermined program, classification and transmission of an execution result, and its value is For example, the value of the nested job net + the serial number.

  In such a hierarchical structure, when a relationship example between a job and a nested job net and a nested job net and a root job net is shown visually, the configuration is as shown in FIG.

  Thus, a nested job net is composed of a series of jobs that are the minimum processing unit. In addition, the nested job nets are configured to link the processing results as input / output of each other. Furthermore, the root job net includes the nested job nets that cooperate in this way.

  As shown in FIG. 4, the jobs belonging to the nested job net are defined as a series of jobs within the nested job net, and the connection relationship according to the input / output relationship between the jobs is also defined. Further, when the nested job nets also have an input / output relationship with each other, there is also a connection relationship between the nested job nets. However, when considering only the existing provisions of such connection relationship, for example, “job 5” of “nested job net A” and “job 6” of “nested job net B” in FIG. not exist.

  On the other hand, if an abend occurs in “Job 5” of “Nested Job Net A”, the influence naturally affects the processing result of “Nested Job Net A” to which it belongs, which is related to “Nested Job Net A” It also reaches “Job 6” of “Net B” (the output of the nested job net A is input). In other words, it is not possible to comprehensively specify the range of the fault effect that propagates from the abend-occurring job only based on the existing connection relationship rules.

  Therefore, in this embodiment, as illustrated in FIG. 5, a pre-node corresponding to a virtual job that receives data input from another nested job net in the nested job net and a virtual that performs data output to the other nested job net. Each post node corresponding to a simple job is set and held for each nested job net.

  In the example shown in FIG. 5, it is defined that each of “job 1” to “job 5” belonging to “nested job net A” has a connection relationship with each of the pre-node 50 and the post-node 51.

  When such a concept is introduced and an abend occurs in “job 5” of “nested job net A”, the effect is that a temporary post node 51 corresponding to the output processing of “nested job net A” to which it belongs belongs. Thus, it can be identified from the provision of the connection relationship that the temporary pre-node 50 corresponding to the input processing in the “nested job net B” is reached.

In other words, by taking into account the provisions of the connection relationship to which the pre-node 50 and the post-node 51 are added, it is possible to comprehensively specify the range of failure influences even in a range that could have been specified in the past.
--- Data structure example ---
Next, tables used by the failure impact investigation device 100 of this embodiment will be described. FIG. 6A shows an example of the hierarchical structure information 125 in the present embodiment.
The hierarchical structure information 125 of the present embodiment is information that stores information related to the hierarchical structure already shown in FIGS.

Its data structure is the value of job group 2 (for example, F: forex) corresponding to a business system such as “foreign exchange”, plus the value of the calendar type to job group 2 (for example, forex).
F: Forex Work / T: Regular), and root job net (for example, F: Forex Work / T: Regular / F-TA), plus values such as work classification and serial number, and values such as work cycle Nested job net (for example, F: Forex Work / T: Regular / F-TA1 / F-TA1) and Job (for example, F: Forex Work / T: Regular / F-TA1 / F-TA1- W01 / F-TA1-W0101) is a set of records in which each value such as “/” is sequentially added with a hierarchy delimiter.

  FIG. 6B shows a data configuration example of the connection information 126 of this embodiment. The connection information 126 of the present embodiment is information that defines the connection relationship of components having an input / output relationship with each other in the above-described hierarchical structure.

  The data structure is, for example, a list of jobs having input / output relationships or nested job nets separated by commas, and values of connection conditions (for example, “c” where there is a condition regarding execution of input / output, ie, connection. : Conditional connection, execution of input / output, that is, a collection of data with “s”: forward connection) in which no condition exists for the connection added at the end.

  FIG. 6C shows a data configuration example of the hold / hold release information 127 of the present embodiment. The hold / hold release information 127 of the present embodiment is information that is defined with respect to the conditions of components such as jobs and nested job nets that are connected with conditions in the connection information 126 described above.

  For example, a job that becomes a resource of input data, or a job that becomes an obstacle to execution or processing of a nested job net, the status of operation, or “hold” when waiting for execution until the result becomes a predetermined one, such a job And “Non-hold release” when starting execution when the processing or operation status or result of a nested job net becomes a predetermined one. Then, the data to which such a rule is given with respect to the job or the nested job net having the relationship becomes the hold / hold release information 127.

FIG. 6D shows a data configuration example of the operation log 128 of this embodiment. The operation log 128 according to this embodiment is a table in which information on the date and time when each job is actually executed is accumulated.
The data structure is a collection of data in which execution date and time are used as keys and values of components such as a job to be executed and a nested job net are associated with each other.

  FIG. 6E shows a data configuration example of the event transmission file 129 of the present embodiment. The event transmission file 129 according to the present embodiment is a file in which information related to events in which jobs or nested job nets have executed predetermined processing and transmitted processing results to other jobs or nested job nets is accumulated. The data structure is a collection of data in which the values of the transmission source and destination jobs and nested job nets are associated with IDs that uniquely identify events.

FIG. 6F shows a data configuration example of the event reception file 130 of this embodiment. The event reception file 130 according to the present embodiment is a file in which information related to a job or a nested job net that receives processing results from other jobs or nested job nets that have performed predetermined processing is accumulated. The data structure is a collection of data in which the values of the transmission source and destination jobs and nested job nets are associated with IDs that uniquely identify events.
--- Flow example 1 ---

  Hereinafter, the actual procedure of the failure effect investigation method in the present embodiment will be described with reference to the drawings. Various operations corresponding to the failure impact investigation method described below are realized by a program that the failure impact investigation device 100 reads into the memory or the like and executes. And this program is comprised from the code | cord | chord for performing the various operation | movement demonstrated below.

  FIG. 7 is a diagram showing a flow example 1 of the failure influence investigation method in the present embodiment. Here, first, the failure impact research apparatus 100 accepts a designation regarding an abend generation target job (or a nested job net or a root job net) from the user terminal 200 (s100). Specifically, for example, the ID of the job, nested job net, or root job net in the designated node column 1001 on the tool screen 1000 (FIG. 11) distributed and displayed on the user terminal 200 by the failure impact investigation apparatus 100 is displayed. Can be assumed.

  In the example of the tool screen 1000 of FIG. 11, in addition to the above-described designated node column 1001, the ID of the constituent element is displayed in each of the job group 1, job group 2, root job net, nested job net, and job. An interface 1004 selected from the list receives designation of an abend generation target job from the user terminal 200.

  In addition, when the designated node received in s100 is a root job net or a nested job net, the failure impact research apparatus 100 sets “Pre” indicating a pre-node for the value of the root job net and the nested job net in the connection information 126. A value is assigned (s101). For convenience of explanation, a job, a nested job net, or the like that has been designated in s100 is referred to as a “node” corresponding to the job and its connection relationship expressed in graph theory.

  Subsequently, the failure impact investigation apparatus 100 stores information such as jobs and nested job nets that are included in the failure impact range, starting from the abend occurrence target job specified in s100, for example, a job A list array (eg, a data storage file having a plurality of value storage fields) is created in the memory 103 (s102). Also, information such as the abend generation target job specified in s100 is stored in this job list array.

  Further, the failure impact investigation device 100 searches the connection information 126 related to the abend occurrence target specified in the above s100 using the ID of the job or the like as a key, and is a component that can be identified by the search, Information on components such as a job having an input / output relationship with the abend generation target is stored in the above-described job list array as a job of the succeeding job (s104).

  In this case, according to the connection information 126 of this embodiment, the connection relationship between a series of jobs belonging to a nested job net and other nested job nets having an input / output relationship with the nested job net is also the pre-node 50 and the post-node. 51 can be specified.

Each job belonging to the nested job net is defined to be connected to all of the pre-node 50 and post-node 51 in the nested job net. Therefore, the connection information 126 follows the connection rules between the components. By doing so, it is possible to identify the relationship across the nested job nets. This also applies to the case where the business information system is crossed, that is, the case where the job group is crossed, or the case where it crosses between other vendors and other systems, as long as there is a provision in the connection information 126. The succeeding job can be specified.
In addition, the failure impact investigation apparatus 100 determines whether the above-described subsequent job already exists in the job list array (s105).

  As a result of the determination, if the subsequent job already exists in the job list array (s105: Yes), the failure impact investigation apparatus 100 does not add the subsequent job to the job list array (s106), and performs the process in s108. Transition to.

On the other hand, as a result of the determination described above, if the subsequent job does not exist in the job list array (s
105: No), the failure impact research apparatus 100 adds the subsequent job to the job list array (s107), and shifts the processing to s108.

Further, the failure impact research apparatus 100 judges whether or not the job list array is completed by judging whether s104 to s107 have been executed for all the records in the connection information 126 (s108).
As a result of the above determination, when it is determined that it is not the end of the job list array (s108: No), the failure impact research apparatus 100 returns the process to s104.

  On the other hand, as a result of the above determination, when it is determined that the end of the job list array is reached (s108: Yes), the failure impact research apparatus 100 stores the job list array as the failure impact range information 150 in, for example, the memory 103. (S109), the process is terminated.

The failure influence range information 150 is defined in the connection information 126 starting from the abend occurrence target among jobs and nested job nets defined in the hierarchical structure 125, that is, there is an input / output relationship. This is a result of sequentially specifying jobs, nested job nets, etc., and indicates a series of such jobs. The data structure is the same as the connection information 126.
--- Flow example 2 ---

  Moreover, FIG. 8 is a figure which shows the example 2 of a flow of the failure influence investigation method in this embodiment. Here, the generation process of the pre-node 50 and the post-node 51 described above will be specifically described.

  In this case, the failure impact research apparatus 100 reads information on the job list, that is, jobs included in the failure impact range from the job list array obtained in the above flow example 1 (s200), and reads 1 record therefrom (s201). ). This one record is an ID indicating a job or a nested job net in the job hierarchical structure.

  Subsequently, the failure impact research apparatus 100 counts the number of “/” in the record obtained in s201, that is, the depth of the hierarchy in the hierarchical structure of the job. It is determined whether the record indicates a job or a nested job net (s202).

If the number of “/” is not “5” as a result of the determination described above, and it is determined that the record is a nested job net (s202: nested job), the failure impact research apparatus 100 determines that the record is The ID of the root jobnet (system ID + calendar type + business classification + serial number) from the indicated value, that is, the full path (for example, / F: / T / F-TA1 / F-TA1-W01), for example, / F: / T / F-TA1) is acquired (s203).

In this case, the failure impact investigation apparatus 100 generates a pre-node 50A that becomes an input of the nested job net indicated by the above-described record, that is, uses “root job net ID + / Pre” as an ID as a preceding job. In addition, the failure impact investigation apparatus 100 outputs “the ID + / Pre of its own nested job net” as the output destination of the pre-node 50, that is, as a subsequent job.
Is generated as an ID (s204). The pre-nodes generated here are stored in the connection information 126.

Further, the failure impact investigation device 100 is a post node serving as its own output terminal, and a post node 51A having “ID + / Post of its own nested job net” as an ID as a preceding job corresponding to the root job net. Generate. Further, the failure impact investigation apparatus 100 generates a post node 51B having the ID “root jobnet ID + / Post” as an output destination of the post node 51A, that is, a subsequent job (s205). The post nodes generated here are stored in the connection information 126.

On the other hand, if the number of “/” is “5” as a result of the determination described above, and it is determined that the record is a job (s202: job), the failure impact investigation apparatus 100 indicates that the record indicates Nested job net ID (root job net ID + work cycle + serial number) from the value, that is, the full path (for example, / F: / T / F-TA1 / F-TA1-W0101), for example, / F: / T / F- TA1-W01) is acquired (s206).

  In this case, the failure impact investigating apparatus 100 generates a pre-node 50 </ b> C having the ID of the nested job net “Nest Job Net ID + / Pre” to which the job belongs as an input to the job, that is, the preceding job. . In addition, the failure impact research apparatus 100 generates a pre-node 50D that becomes the output destination of the pre-node 50C, that is, the subsequent job having “its own job ID + / Pre” as an ID (s207).

  Also, the failure impact research apparatus 100 generates a post node 51C that is a post node serving as an output terminal of the fault influence node and that has “own job ID + / Post” as an ID as a preceding job corresponding to the nested job net. In addition, the failure impact research apparatus 100 generates a post node 51D having “ID + / Post of nested job net” as an ID as an output destination of the post node 51C, that is, a subsequent job (s208). The post nodes generated here are stored in the connection information 126.

Subsequently, the failure impact research apparatus 100 determines whether the job list has been completed by checking whether s201 to s208 have been executed for all the records in the job list obtained in s200 (s209).
As a result of the above determination, if the job list is not over (s209: No), the failure impact research apparatus 100 returns the process to s201.
On the other hand, if the result of the determination is that the job list is over (s209: Yes), the failure impact research apparatus 100 ends the process.
--- Flow example 3 ---

  Moreover, FIG. 9 is a figure which shows the example 3 of a flow of the failure influence investigation method in this embodiment. Here, when specifying the failure impact range between systems (failure impact range across servers) such as between root job groups or between job groups 1 in the above hierarchical structure, events between the systems are A process of extracting the connection relationship based on the history of transmission / reception that has occurred will be described. By performing such processing to increase the accuracy of the connection information 126, it is possible to specify a fault effect range that is accurate and comprehensive based on the connection relationship between the business system and the server device itself, that is, the system across components. Become.

  In this case, the failure impact research apparatus 100 reads the event transmission file 129 (s300). Also, the failure impact research apparatus 100 reads the event reception file 130 (s301).

  The event transmission file 129 and the event reception file 130 are processed from an event that a job or nested job net executes a predetermined process and transmits a processing result to another job or nested job net, or from another job or nested job net. FIG. 6E and FIG. 6F are files that store information related to the event that received the result.

Subsequently, the failure impact research apparatus 100 reads one record from the event transmission file (s302), and determines whether it is an event transmission job (s303). This determination is assumed to be, for example, an event transmission job when the event ID (in the case of FIG. 6E, for example, “iv01”) includes a specific value (for example, “01”). This determination method is the same for determining whether the job is an event reception job.
As a result of the above determination, when the record is not an event transmission job (s303: No), the failure impact research apparatus 100 shifts the processing to s309.

On the other hand, if the record is an event transmission job as a result of the above determination (s303: Yes), the failure impact research apparatus 100 reads one record from the event reception file (s304) and determines whether it is an event reception job. (S305).
As a result of the above determination, when the record is not an event reception job (s305: No), the failure impact research apparatus 100 shifts the process to s308.

On the other hand, if the record is an event reception job as a result of the above determination (s305: Yes), the failure impact investigation apparatus 100 indicates the records of the event transmission job and the event reception job read in s302 and s304, respectively. It is determined whether the event IDs match (s306).
As a result of the above determination, when the event IDs do not match (s306: No), the failure impact research apparatus 100 shifts the processing to s308.

On the other hand, if the event IDs match as a result of the above determination (s306: Yes), the failure impact research apparatus 100 sets the transmission subject (job, nested job net, etc.) indicated by the corresponding record in the event transmission file 129 as the preceding job, Using the receiving subject (job, nested job net, etc.) indicated by the record of the event reception file 130 as a subsequent job, a record including a set of IDs of the preceding job and the subsequent job is generated and stored in the connection information 126. (S307).
Subsequently, the failure impact research apparatus 100 determines whether the above-described s304 to s307 have been completed for all records in the event reception file 130 (s308).

  As a result of the above determination, when the above-described s304 to s307 are not finished for all records in the event reception file 130 (s308: No), the failure impact investigation apparatus 100 returns the processing to s304.

  On the other hand, as a result of the determination described above, when the above-described s304 to s307 are finished for all the records in the event reception file 130 (s308: Yes), the failure impact investigation apparatus 100 performs the above-described processing for all the records in the event transmission file 129. It is determined that s302 to s307 have been completed (s309).

  As a result of the above determination, when all the records in the event transmission file 129 have not finished the above s302 to s307 (s309: No), the failure impact research apparatus 100 returns the process to s302.

On the other hand, as a result of the above-described determination, when the above-described s302 to s307 are completed for all the records in the event transmission file 129 (s309: Yes), the failure impact research apparatus 100 ends the process.
--- Flow example 4, 5 ---

  FIG. 10A is a diagram illustrating a flow example 4 of the failure impact investigation method in the present embodiment, and FIG. 10B is a diagram illustrating a flow example 5 of the failure impact investigation method in the present embodiment.

  The failure impact research apparatus 100 of the present embodiment can display the failure impact range information 150 held in the memory 103 on the user terminal 200 in a user-desired form.

  In this case, the failure impact investigation apparatus 100 distributes the tool screen 1000 (FIG. 11) to the user terminal 200, and accepts a user designation for the display form on the interface 1003 of the tool screen 1000 (s400).

  As an example of the user designation, first, it is designated whether the search result is one of the forward search and the backward search, and further, it is in any form of a graph, a list, and a job flow. And at least. In order to accept each designation, the screen 1000 includes interfaces 1003 and 10031.

  In the forward search and backward search, starting from the job for which the abend is generated, the forward search is for the upstream in the input / output relationship, and the backward search is for the downstream in the input / output relationship. Yes.

  Next, when the user designation received in s400 is a job flow (s401: job flow), the failure impact research apparatus 100 sets at least each of the job and job net belonging to the failure impact range information 150 as a node, Regarding the connection between the nodes, the connection information 126 defines the input / output relationship, and a directed graph connected at the edge is generated based on the value indicated by the record of the connection information 126 (s402). The process is returned to 200 and displayed (s405), and the process ends.

  Examples of the directed graph generated in this way are shown in FIGS. In the directed graph on the display screen 1100 in FIG. 12, each component of the job group 1 is the nodes 1110 and 1120, and those having an input / output relationship are identified by the connection information 126 and connected by the edge 1130. Yes. Obviously, the failure impact investigation apparatus 100 holds drawing object data corresponding to such nodes and edges in the storage device 101 in advance, and can read and use them appropriately. The directed graph indicates that the abend generation target job is included in the “foreign exchange” of the job graph 1. The scope of the impact of disability from this business system “Forex” extends to five business systems such as “loans” and “public bonds” with “loans” directly connected at the edge as relay points. Can be recognized.

  Further, on the display screen 1100, for example, it is assumed that a predetermined operation such as a double click is performed on the user terminal 200 with respect to the “foreign” node for which the abend is generated. In this case, the failure impact research apparatus 100 uses, for example, a nested job net under the root job net “F-TA1” in the business system “foreign exchange” as a node 1210, and sets the node 1210 of these nested job nets as connection information 126. It is preferable that the directed graph 1202 connected by the edge 1220 is generated based on the value indicated by, and the screen including this (FIG. 13) is distributed to the user terminal 200.

  In the directed graph 1202 shown in FIG. 13, information based on the hold / hold release information 127, which is a condition regarding the connection relationship between the nodes 1210, is also included in the display content. The hold / hold release information 127 is information that is defined with respect to the conditions of components such as jobs and nested job nets that are connected with conditions in the connection information 126 described above.

Specifically, for example, “pending” when waiting for execution until the processing or operation status or result of a job or nested job net that becomes a resource of input data or becomes an obstacle in execution becomes predetermined. For example, “hold release” for starting execution when the processing or operation status or result of a job or nested job net becomes a predetermined one.

In the case of the example illustrated in FIG. 13, for example, the node 1210 displays information “F-TA1-W11 OL closure_public bond # 1”. This shows the condition that the nested job net “F-TA1-W11” operates when it is closed online for “OL Closing_Public Bond # 1”, that is, “# 1” of Job Group 1 “Public Bond”. ing.

  In the directed graph 1202 shown in FIG. 13, information related to the operation timing of the nested job net corresponding to the node 1210 is also included in the display content. The information regarding the operation timing is, for example, information indicating the maximum operation frequency among the past operation timings already obtained with respect to the nested job net in the operation log 128, and is defined by, for example, a 24-hour system. It is a time value (for example, “5.4” for 5:24 am).

  On the other hand, if the user designation received in s400 is a list display (s401: list), at least each ID (full path) of the job belonging to the failure influence range information 150 is extracted, for example, job group 1 A list 1400 (FIG. 15) classified in units of job group 2, root job net, nested job net, and job is generated (s403), and this is returned to the user terminal 200 for display (s405). The process ends.

As illustrated in FIG. 15, the list 1400 includes values such as “depth” and “importance count” in addition to the list of the number of nodes belonging to each unit described above. Among these, “depth” is a value counted by the failure impact investigation device 100 in correspondence with a value designated by the user through the interface 1420. “Depth” indicates the distance (number of hops) from the abend generation target job. If “0”, only the abend generation job itself, if “1”, the abend generation job and edge Jobs that are directly tied to each other.
The “importance level count” is a value obtained by counting the number of corresponding levels of importance determined in advance for each job.

  On the other hand, when the user designation received in s400 is a graph display (s401: graph), a graph in which the number of jobs or job nets belonging to at least the failure-affected range information 150 is tabulated and displayed for each business unit, for example. 1300 is generated (s404), and this is returned to the user terminal 200 for display (s405), and the process ends.

  An example of the graph display screen 1300 generated in this way is shown in FIG. The display screen 1300 includes a reference time 1301, an elapsed time 1302 from the reference time, the remaining 1303 up to the importance level A, and a graph display area 1304.

  Among these, the graph display area 1304 generates and displays a graph in which the number of jobs included in each business system among the jobs indicated by the failure influence range information 150 is arranged on the vertical axis and the business systems are arranged on the horizontal axis.

  Further, the value of the reference time 1301 indicates the abend occurrence time. Further, the elapsed time 1302 from the reference time is an interface for designating an elapsed time for which the user wants to confirm how the fault influence range changes with the passage of time from the reference time. If the specified value at this interface is “0”, the abend occurrence time is set, and if “1”, it is one hour after the abend occurrence time.

The remaining 1303 until the occurrence of importance A indicates the remaining time from the abend generation target job to the operation timing of the job of importance A that is affected by the failure. Therefore, at least an important job having “importance A” among the jobs is given as appropriate information such as hierarchical structure information 125 and connection information 126. The operation timing of each information is the maximum operation frequency time indicated by the operation log 128 for the job or the like.

  Therefore, as shown in the flow of FIG. 10B, when the user changes the designation of the elapsed time through the interface 1302 (s500), the failure impact investigation apparatus 100 identifies the failure impact range again accordingly. In this case, the failure impact research apparatus 100 starts from the job for which the abend is generated, and uses the time when the abend is generated as a reference time, and the time period up to the elapsed time specified by the interface 1302 (example: midnight) To 2:00 am), the operation time is included, and the above-mentioned time zone (e.g., 0:00 am to 2:00 am) depending on the timing of standby or execution indicated by the connection information 126 and the hold / hold release information 127. ) That is estimated to be active (for example, a certain job whose operation timing is included in the time period is put on hold, that is, waiting, and its own operation timing is also included in the time period) ) Is specified (s501).

  Further, the failure impact investigation apparatus 100 generates the above-described graph for the job (and job net) specified in this way (s502), and displays it on the user terminal 200 (s503). In other words, every time the designation on the interface 1302 is received, the fault influence range is specified, and the graph is regenerated and redisplayed.

  Here, the case where the graph is generated in response to the specification of the elapsed time in the interface 1302 has been shown. However, this processing is the same for the generation and display of the directed graph and the list accompanied with the specification of the failure influence range. To run.

  Although the best mode for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications can be made without departing from the scope of the invention.

According to this embodiment, when a failure occurs in a batch job, the influence range is comprehensively specified in the entire system across business and vendors, and this is dynamically displayed according to the user's needs. . In this case, the time and cost required for the impact investigation, which has been necessary in the past, can be reduced, and the user can recognize the failure influence range without omission, so that it is expected that the failure response will be accelerated. For business operators who perform the business, the influence on the related business is suppressed to the minimum, leading to improvement of business efficiency and success or failure of customer service.
That is, it is possible to comprehensively and efficiently investigate the failure influence in the batch job, and it is possible to suitably present the investigation result according to the needs.

  At least the following will be clarified by the description of the present specification. That is, in the failure impact investigation apparatus according to the present embodiment, the storage device includes, as information related to the hierarchical structure, a prenode corresponding to a virtual job that receives data input from another job net in the job net, and the job Each information of the post node corresponding to a virtual job that outputs data to another job net in the net is held, and each of the pre-node and the post node and all jobs constituting the job net are input. The storage device further stores connection relationship information having an output relationship, and in the processing for specifying the failure influence range, the arithmetic device indicates an input / output relationship at least between jobs and between job nets indicated by the information on the hierarchical structure. Based on the In addition, when specifying a series of jobs and job nets that have an input / output relationship within and within the business, the series between job nets is specified based on the connection relation via the pre-node and the post-node. It is good also as what to do.

According to this, since the pre-node and the post-node are set in the above-described hierarchical structure of batch jobs, for example, when a backward search is performed starting from the job where the abend is generated, the jobs that follow the job are displayed. Even if there is no case (however, the job net to which the job belongs outputs the processing result to another job net), the above-mentioned series of identifications are not interrupted there, but via the post node of the job net to which the job belongs, It is possible to specify a series with other job nets (and their jobs) that have an input / output relationship. The same applies to the forward search, and the connection with other job nets (and their belonging jobs) having an input / output relationship can be specified via the pre-node of the job net to which the job belongs.
As a result, the failure influence investigation in the batch job can be made more comprehensive and efficient, and the investigation result can be suitably presented according to the user needs.

  Further, in the failure impact investigation device according to the present embodiment, in the processing for specifying the failure impact range, the arithmetic device is based on a user designation and starts from the job for which the abend is generated, and the upstream in the input / output relationship. Either the forward search toward the side or the backward search toward the downstream side in the input / output relationship may be performed to identify the series of the job and the job net.

According to this, it is possible to specify by a backward search regarding a series of jobs in which an abend occurrence target job provides the processing data and a job that further provides the processing data to the job, and a job that provides the processing data to the abend generation target job In addition, it is possible to specify a series of job nets that give processing data to the job by forward search.
As a result, the failure influence investigation in the batch job can be made more comprehensive and efficient, and the investigation result can be suitably presented according to the user needs.

  In the failure impact investigation device according to the present embodiment, the storage device uses information about the hierarchical structure as an opportunity of waiting or execution of the other according to one processing status or processing result between the jobs or the job net. , And at least the connection rule information specified for the job and the operation log of the job or the job net, and the arithmetic unit is a job subject to occurrence of the abend in the failure influence range As a starting point, the operation timing indicated by the operation log is from the reference time to the user specified time as the job and job net included in the series as time elapses with the occurrence of the abend as the reference time. The system is operated according to the standby or execution trigger included in the information of the above-mentioned connection provision. A process for specifying the measured object and generating at least one of the directed graph or the undirected graph, the list, and the graph for the specified job and job net and outputting the generated graph to a predetermined device is further executed. It is good also as what to do.

  According to this, it is possible to identify the fault influence range that will change with the passage of time from the time of occurrence of the abend, and to clearly indicate this. As a result, it is possible to comprehensively and efficiently investigate failure effects in batch jobs, and to present the results of the investigation more appropriately in accordance with user needs.

In the failure impact investigation method of the present embodiment, the information processing apparatus, in the storage device, as information related to the hierarchical structure, a pre-node corresponding to a virtual job that receives data input from another job net in the job net, And each information of a post node corresponding to a virtual job for outputting data to another job net in the job net, and all of the pre-node and the post node and all of the job nets constituting the job net In the process of further storing connection relationship information having an input / output relationship with the job and specifying the failure influence range, a predetermined value is determined based on at least the input / output relationship between jobs and between job nets indicated by the information on the hierarchical structure. Starting from the job that is the target of the abend in the job, When specifying a series of jobs and job nets having an input / output relationship with each other within and between jobs, the series of job nets may be specified based on the connection relation via the pre-node and the post-node. Good.

  In the failure impact investigation method according to the present embodiment, the information processing apparatus, in the process of specifying the failure impact range, based on a user designation, starting from the job that is the target of the occurrence of the abend, upstream in the input / output relationship It is also possible to specify a series of the job and the job net by performing either a forward search toward the backward direction or a backward search toward the downstream side in the input / output relationship.

  In the failure impact investigation method according to the present embodiment, the information processing apparatus, as information on the hierarchical structure, in the storage device, one of processing statuses or processing results between the jobs or the job nets. Further, the information on the connection rule that defines at least the standby or execution trigger of the job and the operation log of the job or the job net is further stored, and the job that is the target of the abend generation in the failure influence range is started. In addition, with the passage of time with the occurrence of the abend as the reference time, the operation timing indicated by the operation log is between the reference time and the user specified time as jobs and job nets to be included in the series. It is included and the operation is promoted according to the standby or execution trigger indicated by the information on the connection rule. And a process of generating at least one of the directed graph or the undirected graph, the list, and the graph with respect to the specified job and job net and outputting the generated graph to a predetermined device. It is good also as.

DESCRIPTION OF SYMBOLS 10 Network 100 Failure influence investigation apparatus 101 Storage apparatus 102 Program 103 Memory 104 Arithmetic apparatus 105 Input apparatus 106 Output apparatus 107 Communication apparatus 125 Hierarchical structure information 126 Connection information 127 Retention / hold release information 128 Operation log 129 Event transmission file 130 Event reception file 200 User terminal 300 Survey target system

Claims (8)

A storage device that stores information relating to a hierarchical structure of a batch job including at least each hierarchy of a job relating to each job and a job net composed of a series of the jobs;
Based on at least the input / output relationship between jobs and job nets indicated by the information related to the hierarchical structure, the input / output relationship is established within the business and between the business, starting with the job that is subject to abend generation in the given business. A process for specifying a series of jobs and job nets as a failure influence range, and a directed graph or an undirected graph in which at least each of jobs and job nets belonging to the failure influence range is a node and each of the nodes is connected by an edge Generating at least one of a list of jobs and job nets belonging to the failure-affected range and a graph in which the number of jobs or job nets belonging to the failure-affected range is tabulated for each business unit, and outputting the generated graph to a predetermined device An arithmetic unit that executes processing;
A failure influence investigation device characterized by comprising: The storage device
Information regarding the hierarchical structure corresponds to a pre-node corresponding to a virtual job that receives data input from another job net in the job net, and a virtual job that outputs data to another job net in the job net. Each post node information, and further storing connection information in which each of the pre-node and the post node and all jobs constituting the job net have an input / output relationship,
The arithmetic unit is:
In the process of specifying the failure influence range, the job within the job is started from the job for which the abend is generated in the given job based on at least the input / output relationship between the jobs and the job nets indicated by the information on the hierarchical structure. When specifying a series of jobs and job nets having an input / output relationship with each other, the series of job nets is specified based on the connection relation via the prenode and the postnode.
The failure effect investigation device according to claim 1, wherein: The arithmetic unit is:
In the process of identifying the fault influence range, based on a user designation, starting from the job that is the target of the abend, forward search toward the upstream side in the input / output relationship, and toward the downstream side in the input / output relationship The backward search is performed to identify a series of the job and the job net.
The failure influence investigation device according to claim 2, wherein: The storage device
As the information on the hierarchical structure, the information on the connection rule that at least defines the waiting or execution timing of the other depending on the processing status or processing result between the job or the job net, the job or the job net It further stores job net operation logs,
The arithmetic unit is:
The operation log as a job and a job net that are included in the chain as time passes with the time at which the abend occurred as a reference time starting from the job that is the abend occurrence target in the failure influence range The operation timing indicated by is specified between the reference time and the user specified time, and the operation is estimated according to the standby or execution trigger indicated by the information of the connection rule, and the specified With respect to jobs and job nets, it further executes processing for generating at least one of the directed graph or the undirected graph, the list, and the graph and outputting the generated graph to a predetermined device.
The failure effect investigation device according to claim 1, wherein: An information processing apparatus comprising a storage device that stores information relating to a hierarchical structure of a batch job including at least each hierarchy of a job relating to each job and a job net composed of a series of the jobs,
Based on at least the input / output relationship between jobs and job nets indicated by the information related to the hierarchical structure, the input / output relationship is established within the business and between the business, starting with the job that is subject to abend generation in the given business. A process of identifying a series of jobs and job nets that have a failure impact range;
A directed graph or undirected graph in which at least each job and job net belonging to the failure influence range is a node, and each of the nodes is connected by an edge, a list of jobs and job nets belonging to the failure influence range, and the failure A process of generating at least one of a graph in which the number of jobs or job nets belonging to the influence range is aggregated and displayed for each business unit, and outputting the generated graph to a predetermined device;
The failure effect investigation method characterized by performing this. The information processing apparatus is
In the storage device, as the information related to the hierarchical structure, a pre-node corresponding to a virtual job that receives data input from another job net in the job net, and a virtual that performs data output to another job net in the job net Each post node corresponding to a specific job, and further storing connection relation information in which each of the pre-node and the post-node and all jobs constituting the job net have an input / output relationship. ,
In the process of specifying the failure influence range, the job within the job is started from the job for which the abend is generated in the given job based on at least the input / output relationship between the jobs and the job nets indicated by the information on the hierarchical structure. When specifying a series of jobs and job nets having an input / output relationship with each other, the series of job nets is specified based on the connection relation via the prenode and the postnode.
The failure effect investigation method according to claim 5, wherein: The information processing apparatus is
In the process of identifying the fault influence range, based on a user designation, starting from the job that is the target of the abend, forward search toward the upstream side in the input / output relationship, and toward the downstream side in the input / output relationship Do one of the backward search, specify the series of the job and the job net,
The failure effect investigation method according to claim 6. The information processing apparatus is
In the storage device, as information on the hierarchical structure, information on a connection rule that at least specifies one processing status or the other waiting or execution trigger according to the processing result between each of the job or the job net, and , Further storing an operation log of the job or the job net,
The operation log as a job and a job net that are included in the chain as time passes with the time at which the abend occurred as a reference time starting from the job that is the abend occurrence target in the failure influence range The operation timing indicated by is specified between the reference time and the user specified time, and the operation is estimated according to the standby or execution trigger indicated by the information of the connection rule, and the specified With respect to jobs and job nets, it further executes a process of generating at least one of the directed graph or the undirected graph, the list, and the graph and outputting the generated graph to a predetermined device.
The failure effect investigation method according to claim 5, wherein:

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