CN108874618A - Monitoring method, device, computer equipment and the storage medium of Cognos process - Google Patents
Monitoring method, device, computer equipment and the storage medium of Cognos process Download PDFInfo
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- CN108874618A CN108874618A CN201810422090.1A CN201810422090A CN108874618A CN 108874618 A CN108874618 A CN 108874618A CN 201810422090 A CN201810422090 A CN 201810422090A CN 108874618 A CN108874618 A CN 108874618A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0793—Remedial or corrective actions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
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Abstract
Provided herein a kind of monitoring method, device, computer equipment and the storage medium of Cognos process, including：Each the Cognos state of a process information run in Cognos terminal is obtained, the Cognos process is the process generated when running Cognos data model in the Cognos terminal；And according to each Cognos state of a process information, judges whether each Cognos process is in abnormal respectively, detect whether each Cognos process is in abnormal, overcome the defect that can not detect Cognos process exception state at present.
Description
Technical field
This application involves field of computer technology, in particular to a kind of monitoring method of Cognos process, device, computer
Equipment and storage medium.
Background technique
Cognos is on BI (Business Intelligence, business intelligence) product platform, service-oriented
A kind of data model for carrying out framework is that complete business intelligence can be uniquely provided by single product and on single reliable framework
The solution of energy function.It can provide the solutions such as seamless closely sealed report, analysis, Card, instrument board, by mentioning
For all system and data resource, to simplify the method that each employee of company handles information.
When Cognos process is abnormal, the serious consumption CPU of meeting, memory, and for a long time will not free system resources.
Cognos process, which occurs also resulting in report long-play after abnormal phenomenon, not to be come out, and high-volume report is stuck, background process
Also it will appear bulk deposition；User newly opens report and leads to not open less than resource because obtaining, and whole system is in paralysis
Paralysis state.
At present in the industry not to the effective monitoring scheme of Cognos abnormal process and corresponding processing scheme.
Summary of the invention
The main purpose of the application is to provide monitoring method, device, computer equipment and the storage of a kind of Cognos process
Medium overcomes the defect that can not detect Cognos process at present.
To achieve the above object, this application provides a kind of monitoring method of Cognos process, include the following steps：
Obtain each the Cognos state of a process information run in Cognos terminal；The Cognos process is described
The process generated when running Cognos data model in Cognos terminal；
According to each Cognos state of a process information, judge whether each Cognos process is in different respectively
Often.
Further, described according to each Cognos state of a process information, each Cognos is judged respectively
Whether process is in after abnormal step, including：
If the Cognos process is in abnormal, restarting is in the Cognos process of exception or kills and is in
The abnormal Cognos process.
Further, described according to each Cognos state of a process information, each Cognos is judged respectively
Whether process is in after abnormal step, further includes：
The corresponding progress information of the Cognos process for occurring abnormal is recorded to the local number of the monitoring server
According in library；Process type, runing time, the time being abnormal are included at least in the progress information.
Further, described record the corresponding progress information of the Cognos process for exception occur to the monitoring takes
It is engaged in after the step in the local data base of device, including：
According to the record in the local data base, analyze in preset period of time each occur the abnormal Cognos into
The frequency that journey is abnormal；
According to the frequency, handle according to preset rules there is the abnormal Cognos process.
Further, described according to the frequency, it is carried out according to preset rules to there is the abnormal Cognos process
The step of processing includes：
If the frequency that the Cognos process is abnormal is more than preset value, the list of the Cognos process is added
Into default list, and the Cognos process in the default list is monitored according to predetermined manner.
Further, described to record the corresponding progress information of the Cognos process for exception occur to local data base
In step after, including：
According to the time that the Cognos process recorded in the local data base is abnormal, the Cognos is analyzed
Process is abnormal the abnormal time section of maximum probability；
When in the abnormal time section in the abnormal maximum probability, according to predetermined manner to the Cognos process into
Row monitoring.
Further, it is described obtain Cognos terminal on run each Cognos state of a process information the step of it
Before, further include：
The trusting relationship with the Cognos terminal is established, to have each for obtaining and running in the Cognos terminal
The permission of the Cognos state of a process information.
Further, the step of obtaining each the Cognos state of a process information run in Cognos terminal, including：
At interval of preset time, the shape of each the Cognos process run in the primary Cognos terminal is obtained
State information.
Present invention also provides a kind of monitoring devices of Cognos process, including：
Acquiring unit, for obtaining each the Cognos state of a process information run in Cognos terminal；It is described
Cognos process is the process generated when running Cognos data model in the Cognos terminal；
Judging unit, for judging each Cognos respectively according to each Cognos state of a process information
Whether process is in abnormal.
The application also provides a kind of computer equipment, including memory and processor, is stored with calculating in the memory
The step of machine program, the processor realizes any of the above-described the method when executing the computer program.
The application also provides a kind of computer storage medium, is stored thereon with computer program, the computer program quilt
The step of processor realizes method described in any of the above embodiments when executing.
Monitoring method, device, computer equipment and the storage medium of Cognos process provided herein have following
Beneficial effect：
Monitoring method, device, computer equipment and the storage medium of Cognos process provided herein obtain
Each the Cognos state of a process information run in Cognos terminal, and believed according to each Cognos state of a process
Breath, judges whether each Cognos process is in abnormal respectively, detects whether each Cognos process is in abnormal,
Overcome the defect that can not detect Cognos process exception state at present.
Detailed description of the invention
Fig. 1 is the monitoring method step schematic diagram of Cognos process in one embodiment of the application；
Fig. 2 is the monitoring method step schematic diagram of Cognos process in one embodiment of the application；
Fig. 3 is the specific steps schematic diagram of the step S3 in one embodiment of the application；
Fig. 4 is the monitoring device structural block diagram of Cognos process in one embodiment of the application；
Fig. 5 is the processing unit structural block diagram in one embodiment of the application；
Fig. 6 is the processing unit structural block diagram in another embodiment of the application；
Fig. 7 is the structural schematic block diagram of the computer equipment of one embodiment of the application.
The embodiments will be further described with reference to the accompanying drawings for realization, functional characteristics and the advantage of the application purpose.
Specific embodiment
Referring to Fig.1, a kind of monitoring method of Cognos process is provided in the embodiment of the present application, is included the following steps：
Step S1, monitoring server obtain each the Cognos state of a process information run in Cognos terminal；Institute
Stating Cognos process is the process generated when running Cognos data model in the Cognos terminal.
In the present embodiment, Cognos terminal is the terminal device that operation has Cognos data model, and Cognos is in BI
On product platform, a kind of data model (Data Model) of framework is carried out service-oriented, is that can uniquely pass through list
One product and on single reliable framework provide complete business intelligent function solution.Above-mentioned data model is data characteristics
It is abstract, be the instructional mode frame of data base administration.In the present embodiment, monitoring server and above-mentioned Cognos terminal pass through net
Network is attached, and monitoring server has the administration authority to above-mentioned Cognos terminal.
Multiple Cognos processes can be generated when running Cognos data model in above-mentioned Cognos terminal.Cognos process point
For Cognos finger daemon, Tomcat host process, BIBus process, PPES process, ppdsweb process and other secondary processes.On
State Cognos state of a process information mainly include process whether there is, the dependent process number of process, operation duration, process pair
The parameters such as the occupancy of CPU and memory, the STAT value of process, number of threads.
In the present embodiment, each Cognos state of a process information that monitoring server obtains is one in above-mentioned parameter
Kind is a variety of.Corresponding different Cognos process, the status information content of acquisition can be different, for example, for
Cognos finger daemon then obtains the status information that the process whether there is；For BIBus process, ppdsweb process：It checks
Process whether there is, dependent process number and process are to the occupancy of CPU and memory.Different Cognos processes, the shape of acquisition
The state information content is different, can not carry out exhaustion herein.It is understood that being also possible in acquisition when obtaining status information
State all parameters in status information.
Above-mentioned Cognos state of a process information can be got, ps by ps order (such as ps-ef, ps-eLf, ps aux)
Order the process status for reporting current system；The kill that can arrange in pairs or groups instruction is interrupted at any time, deletes unnecessary process.Ps life
Order is most basic while being also very powerful process viewing command, can determine which process is currently running using the order
Whether terminate with state, the process of operation, process either with or without ossified, which process occupies excessive resource etc., be ok
It is obtained by executing the order.
In the present embodiment, each the Cognos state of a process information for obtaining and running in Cognos terminal can be set
Time, such as the above-mentioned status information of timing acquisition, or at interval of preset time, obtain in the primary Cognos terminal
Each described Cognos state of a process information of operation；Or one Cognos process of setting-interval preset time mapping
Table, what is expressed in mapping table is corresponding different Cognos process, and setting obtains the different interval preset time of status information.Example
Such as, the time interval for obtaining the status information of finger daemon can be less than the time interval of other process status times.
Step S2 judges that each Cognos process is according to each Cognos state of a process information respectively
It is no to be in abnormal.
Pass through the observation verifying for a long time to a large amount of exception Cognos processes, it was found that will appear when Cognos process exception
Some notable features.For example the upper layer dependent process of process is abnormal, firmly (process is hung up, stopping processing), process are long by process hang
Time height consumption resource, process occupy resource and do not discharge etc..Therefore, every class Cognos process has the characteristic of oneself, different
Cognos process, judge that abnormal judgment criteria is different.In the present embodiment, get each Cognos into
The status information of journey then can judge whether each Cognos process is located according to the judgment criteria of each Cognos process
In exception, the defect that can not detect Cognos process exception state at present is overcome.
Citing ground, enumerates several different corresponding judgment criterias of Cognos process：
Cognos finger daemon：Check that the process whether there is, there is no then judge the Cognos finger daemon for exception.
Tomcat process：Check the process and whether there is, whether dependent process is 1, if there is no or dependent process
It is 1, then judges the Tomcat process for abnormal conditions.
PPES process：Check the process and whether there is, whether dependent process is 1, whether ppdsweb process number is 0, if
It is not present or dependent process is 1 or ppdsweb number of processes is 0, then judge the PPES process for abnormal conditions.
BIBus process, ppdsweb process：It checks the process and whether there is, when whether dependent process is 1, whether process is long
Between run and consume high CPU (for example occupy CPU80% or more), if there is no or dependent process be 1 or transport for a long time
Row and high consumption CPU, then judge the process for abnormal conditions.
Referring to Fig. 2, in one embodiment, above-mentioned according to each Cognos state of a process information, judgement is every respectively
Whether a Cognos process is in after abnormal step S2, including：
Step S3, if the Cognos process is in abnormal, to the Cognos process in exception according to default
Mode is automatically processed.
When Cognos process is abnormal, the serious consumption CPU of meeting, memory, and for a long time will not free system resources.
Cognos process, which occurs also resulting in report long-play after abnormal phenomenon, not to be come out, and high-volume report is stuck, background process
Also it will appear bulk deposition；User newly opens report and leads to not open less than resource because obtaining, and whole system is in paralysis
Paralysis state.Therefore, respective handling is carried out in abnormal Cognos process, is then to ensure that Cognos data model is stable
Key.In the present embodiment, it is preset with the mode handled abnormal Cognos process, detects that Cognos process is in different
Chang Shi is handled automatically according to the predetermined manner.
Specifically, in one embodiment, in above-mentioned steps S3 in the abnormal Cognos process according to default side
Formula is automatically processed, including：
If the Cognos process is in abnormal, restarting is in the Cognos process of exception or kills and is in
The abnormal Cognos process.
In the present embodiment, if the Cognos process is in abnormal, in order to ensure that Cognos data model is stable,
Then it can be restarted in abnormal Cognos process to above-mentioned and (be followed successively by ps-ef, kill, restart process), restart it
Afterwards, which can then restore normal.Alternatively, in other embodiments, this directly can be in exception
Cognos process kill, the Cognos process kill after, Cognos host process can automatically by exception Cognos process again
Pull-up, again after pull-up, Cognos process resumption is normal.
Aforesaid way can make the Cognos process no longer abnormal.Rationally system environments is effectively avoided to block
Extremely, resource consumes excessively, integrated environment hang falls or even collapses the great abnormal conditions such as unavailable, and greatly improving system can
The property used；Whole process is in the automatic management in backstage simultaneously, without restarting the Cognos data model service in Cognos terminal, so that
User can uninterruptedly use above-mentioned service, promote user experience.
It is in one embodiment, above-mentioned to be carried out certainly in the abnormal Cognos process according to predetermined manner referring to Fig. 3
The step S3 of dynamic processing, including：
Step S3a records the corresponding progress information of the Cognos process for occurring abnormal in local data base extremely；
Process type, runing time, the time being abnormal are included at least in the progress information.
In the present embodiment, the follow-up investigations of the subsequent Cognos process to Cognos terminal for convenience, will test
Abnormal Cognos process automatically record in the journal file being stored in the local data base of monitoring server.In journal file
The process type of abnormal Cognos process can be saved, the abnormal attribute of abnormal process, runing time, occurred to the abnormal time
And it records into much informations such as the times of journal file.
In one embodiment, above-mentioned to record the corresponding progress information of the Cognos process for exception occur to local number
After the step S3a in library, including：
Step S3b analyzes the described of each interior appearance exception of preset period of time according to the record in the local data base
The frequency that Cognos process is abnormal.
In the present embodiment, duration is monitored each the Cognos process run in Cognos terminal, and will
Monitor abnormal process record in the database, the record in database is analyzed, then available to a certain section when
In, the number that each exception Cognos process occurs, to calculate the described of each interior appearance exception of preset period of time
The frequency that Cognos process is abnormal.
Step S3c is handled according to preset rules there is the abnormal Cognos process according to the frequency.
In the present embodiment, the frequency being abnormal according to there is the abnormal Cognos process, according still further to corresponding
Preset rules are handled.
Specifically, in one embodiment, above-mentioned according to the frequency, according to preset rules to described in appearance exception
The step S3c that Cognos process is handled includes：
If the frequency that the Cognos process is abnormal is more than preset value, the list of the Cognos process is added
Into default list, and the Cognos process in the default list is monitored according to predetermined manner.
If the frequency that Cognos process is abnormal is more than preset value, illustrate that exception often occurs in the Cognos process,
For abnormal high-incidence process.Therefore, it can add it in a default list, and preparatory for the Cognos process in list
Corresponding processing mode is set；For example, monitoring period interval is shortened to the Cognos process key monitoring in default list, or
Person's timing is restarted to the Cognos process or cleanup action.
In another embodiment, persistently Cognos process is monitored, and recording exceptional process, such as above-mentioned steps S3b
It is described, it obtains exception Cognos process and abnormal frequency occurs, if the frequency that Cognos process is abnormal is more than preset value,
Illustrate that exception often occurs in the Cognos process, then for abnormal high-incidence process.Therefore, a default list can be added it to
In, include the significance level of Cognos process in the default list, more or less system resource is distributed according to significance level, if
The Cognos process is not kernel process, then some system resources can be distributed less, to give more system resource allocations
Other important Cognos processes.
In another embodiment, above-mentioned to record the corresponding progress information of the Cognos process for exception occur to local
After step S3a in database, including：
According to the time that the Cognos process recorded in the local data base is abnormal, the Cognos is analyzed
Process is abnormal the abnormal time section of maximum probability；
When the abnormal time section in the abnormal maximum probability, the Cognos process is carried out according to predetermined manner
Monitoring.
Persistently Cognos process is monitored, detects abnormal Cognos process, record is in the local database；Again
Occur the abnormal time according to some Cognos process history, analyzes the Cognos process abnormal period frequent occurrence.
Then, during this period of time, key monitoring is carried out to the Cognos process.For example, shortening monitoring period interval, or timing is right
The Cognos process is restarted or cleanup action.In other embodiments, can also be occurred according to the Cognos process different
Abnormal attribute when often analyzes the concrete reason that Cognos process is abnormal, and records in the local database.
In the above-described embodiments, above-mentioned monitoring server obtains each the Cognos process run in Cognos terminal
Before the step S1 of status information, further include：
The trusting relationship with the Cognos terminal is established, so that the monitoring server, which has, obtains the Cognos
The permission of each run in terminal Cognos state of a process information.Pre-establish the letter with the Cognos terminal
The relationship of appointing, is easy to implement no password and remotely executes monitor command.When establishing trusting relationship, it can be tied up according to ID is well corresponding
It is fixed.For example, the ID list of Cognos terminal is provided on monitoring server, when monitoring server judges the ID of Cognos terminal
In above-mentioned ID list, then it can go to obtain each the described Cognos state of a process run in Cognos terminal with laissezpasser
Information.
In conclusion being obtained in Cognos terminal for the monitoring method of the Cognos process provided in the embodiment of the present application
Each Cognos state of a process information of operation, and according to each Cognos state of a process information, judge respectively
Whether each Cognos process is in abnormal, detects whether each Cognos process is in abnormal, overcomes current nothing
The defect of method detection Cognos process exception state.
Referring to Fig. 4, a kind of monitoring device of Cognos process is additionally provided in the embodiment of the present application, including：
Acquiring unit 10, for obtaining each the Cognos state of a process information run in Cognos terminal；It is described
Cognos process is the process generated when running Cognos data model in the Cognos terminal.
In the present embodiment, Cognos terminal is the terminal device that operation has Cognos data model, and Cognos is in BI
On product platform, a kind of data model (Data Model) of framework is carried out service-oriented, is that can uniquely pass through list
One product and on single reliable framework provide complete business intelligent function solution.Above-mentioned data model is data characteristics
It is abstract, be the instructional mode frame of data base administration.In the present embodiment, monitoring server and above-mentioned Cognos terminal pass through net
Network is attached, and monitoring server has the administration authority to above-mentioned Cognos terminal.
Multiple Cognos processes can be generated when running Cognos data model in above-mentioned Cognos terminal.Cognos process point
For Cognos finger daemon, Tomcat host process, BIBus process, PPES process, ppdsweb process and other secondary processes.On
State Cognos state of a process information mainly include process whether there is, the dependent process number of process, operation duration, process pair
The parameters such as the occupancy of CPU and memory, the STAT value of process, number of threads.
In the present embodiment, each Cognos state of a process information that the acquiring unit 10 on monitoring server obtains is
It is one or more kinds of in above-mentioned parameter.Corresponding different Cognos process, the status information content of acquisition can be different,
For example, then obtaining the status information that the process whether there is for Cognos finger daemon；For BIBus process, ppdsweb
Process：Inspection process whether there is, dependent process number and process are to the occupancy of CPU and memory.Different Cognos processes,
The status information content of acquisition is different, can not carry out exhaustion herein.It, can also be with it is understood that when obtaining status information
It is all parameters obtained in above-mentioned status information.
Above-mentioned Cognos state of a process information can be got, ps by ps order (such as ps-ef, ps-eLf, ps aux)
Order the process status for reporting current system；The kill that can arrange in pairs or groups instruction is interrupted at any time, deletes unnecessary process.Ps life
Order is most basic while being also very powerful process viewing command, can determine which process is currently running using the order
Whether terminate with state, the process of operation, process either with or without ossified, which process occupies excessive resource etc., be ok
It is obtained by executing the order.
In the present embodiment, acquiring unit 10 can be set and obtain each the Cognos process run in Cognos terminal
Status information time, such as the above-mentioned status information of timing acquisition, or at interval of preset time, acquiring unit 10 is obtained
Each the described Cognos state of a process information run in the primary Cognos terminal；Or setting one Cognos into
Journey-interval preset time mapping table, what is expressed in mapping table is corresponding different Cognos process, and setting obtains status information
Different interval preset time.For example, when the time interval for obtaining the status information of finger daemon can be less than other process status
Between time interval.
Judging unit 20, for according to each Cognos state of a process information, judgement to be each described respectively
Whether Cognos process is in abnormal.
Pass through the observation verifying for a long time to a large amount of exception Cognos processes, it was found that will appear when Cognos process exception
Some notable features.For example the upper layer dependent process of process is abnormal, firmly (process is hung up, stopping processing), process are long by process hang
Time height consumption resource, process occupy resource and do not discharge etc..Therefore, every class Cognos process has the characteristic of oneself, different
Cognos process, judge that abnormal judgment criteria is different.In the present embodiment, get each Cognos into
The status information of journey, then judging unit 20 can judge each Cognos according to the judgment criteria of each Cognos process
Whether process is in abnormal, overcomes the defect that can not detect Cognos process exception state at present.
Citing ground, enumerates several different corresponding judgment criterias of Cognos process：
Cognos finger daemon：Check that the process whether there is, there is no then judge the Cognos finger daemon for exception.
Tomcat process：Check the process and whether there is, whether dependent process is 1, if there is no or dependent process
It is 1, then judges the Tomcat process for abnormal conditions.
PPES process：Check the process and whether there is, whether dependent process is 1, whether ppdsweb process number is 0, if
It is not present or dependent process is 1 or ppdsweb number of processes is 0, then judge the PPES process for abnormal conditions.
BIBus process, ppdsweb process：It checks the process and whether there is, when whether dependent process is 1, whether process is long
Between run and consume high CPU (for example occupy CPU80% or more), if there is no or dependent process be 1 or transport for a long time
Row and high consumption CPU, then judge the process for abnormal conditions.
In one embodiment, the monitoring device of above-mentioned Cognos process further includes：
Processing unit 30, if being in abnormal for the Cognos process, in the abnormal Cognos process
It is automatically processed according to predetermined manner.
When Cognos process is abnormal, the serious consumption CPU of meeting, memory, and for a long time will not free system resources.
Cognos process, which occurs also resulting in report long-play after abnormal phenomenon, not to be come out, and high-volume report is stuck, background process
Also it will appear bulk deposition；User newly opens report and leads to not open less than resource because obtaining, and whole system is in paralysis
Paralysis state.Therefore, respective handling is carried out in abnormal Cognos process, is then to ensure that Cognos data model is stable
Key.In the present embodiment, it is preset with the mode handled abnormal Cognos process, detects that Cognos process is in different
Chang Shi, processing unit 30 are handled automatically according to the predetermined manner.
Specifically, referring to Fig. 5, in one embodiment, above-mentioned processing unit 30 includes：
Restart module 301, if being in abnormal for the Cognos process, restarting is in the abnormal Cognos
Process is killed in the abnormal Cognos process.
In the present embodiment, if the Cognos process is in abnormal, in order to ensure that Cognos data model is stable,
Then it can be restarted in abnormal Cognos process to above-mentioned and (be followed successively by ps-ef, kill, restart process), restart it
Afterwards, which can then restore normal.Alternatively, in other embodiments, this directly can be in exception
Cognos process kill, the Cognos process kill after, Cognos host process can automatically by exception Cognos process again
Pull-up, again after pull-up, Cognos process resumption is normal.
Aforesaid way can make the Cognos process no longer abnormal.Rationally system environments is effectively avoided to block
Extremely, resource consumes excessively, integrated environment hang falls or even collapses the great abnormal conditions such as unavailable, and greatly improving system can
The property used；Whole process is in the automatic management in backstage simultaneously, without restarting the Cognos data model service in Cognos terminal, so that
User can uninterruptedly use above-mentioned service, promote user experience.
Referring to Fig. 6, in another embodiment, above-mentioned processing unit 30 includes：
Logging modle 302 is recorded for the abnormal corresponding progress information of the Cognos process will occur to the prison
In the local data base for controlling server；In the progress information include at least process type, runing time, be abnormal when
Between.
In the present embodiment, the follow-up investigations of the subsequent Cognos process to Cognos terminal for convenience, logging modle
The 302 abnormal Cognos processes that will test automatically record the journal file being stored in the local data base of monitoring server
In.The process type, the abnormal attribute of abnormal process, runing time, hair of abnormal Cognos process can be saved in journal file
Life is to the abnormal time and records into much informations such as the times of journal file.
In one embodiment, above-mentioned processing unit 30 further includes：
Analysis module 303, for it is different to analyze each appearance in preset period of time according to the record in the local data base
The frequency that the normal Cognos process is abnormal；
In the present embodiment, duration is monitored each the Cognos process run in Cognos terminal, and will
In the database, analysis module 303 analyzes the record in database to the abnormal process record monitored, then available
Into certain a period of time, the number that each exception Cognos process occurs, so that it is different to calculate each appearance in preset period of time
The frequency that the normal Cognos process is abnormal.
Processing module 304, for according to the frequency, according to preset rules to occur the abnormal Cognos process into
Row processing.
In the present embodiment, the frequency that processing module 304 is abnormal according to there is the abnormal Cognos process, is pressed
It is handled according to corresponding preset rules.
Specifically, in one embodiment, above-mentioned processing module 304 is specifically used for：
If the frequency that the Cognos process is abnormal is more than preset value, the list of the Cognos process is added
Into default list, and the Cognos process in the default list is monitored according to predetermined manner.
If the frequency that Cognos process is abnormal is more than preset value, illustrate that exception often occurs in the Cognos process,
For abnormal high-incidence process.Therefore, processing module 304 can add it in a default list, and in list
Cognos process presets corresponding processing mode；For example, shortening prison to the Cognos process key monitoring in default list
Time interval is controlled, either timing restarts the Cognos process or cleanup action.
In another embodiment, persistently Cognos process is monitored, and recording exceptional process, such as above-mentioned analysis module
It described in 303, obtains exception Cognos process and abnormal frequency occurs, if the frequency that Cognos process is abnormal is more than default
Value, then illustrate that exception often occurs in the Cognos process, for abnormal high-incidence process.Therefore, processing module 304 can be added
Include the significance level of Cognos process into a default list, in the default list, according to significance level distribution or it is more or
Few system resource can distribute some system resources less, so as to will be more if the Cognos process is not kernel process
System resource allocation gives other important Cognos processes.
In another embodiment, above-mentioned processing unit 30 further includes：
Subelement is analyzed, when for occurring abnormal according to the Cognos process that records in the local data base
Between, analyze the abnormal time section that the Cognos process is abnormal maximum probability；
Subelement is monitored, for when in the abnormal time section in the abnormal maximum probability, according to predetermined manner pair
The Cognos process is monitored.
Judging unit 20 is persistently monitored Cognos process, detects abnormal Cognos process, processing unit 30
Abnormal Cognos process is recorded in the local database by logging modle 302；Subelement is analyzed further according to some
There is the abnormal time in Cognos process history, analyzes the Cognos process abnormal period frequent occurrence.Then, at this
In period, monitoring subelement carries out key monitoring to the Cognos process.For example, shortening monitoring period interval, or timing
The Cognos process is restarted or cleanup action.In other embodiments, can also be occurred according to the Cognos process
Abnormal attribute when abnormal analyzes the concrete reason that Cognos process is abnormal, and records in the local database.
In the above-described embodiments, the monitoring device of above-mentioned Cognos process further includes：
Establish unit, for establish with the trusting relationship of the Cognos terminal so that the monitoring server has
Obtain the permission of each run in the Cognos terminal Cognos state of a process information.Pre-establish with it is described
The trusting relationship of Cognos terminal is easy to implement no password and remotely executes monitor command.It, can be according to ID when establishing trusting relationship
Good correspondence is bound.For example, the ID list of Cognos terminal is provided on monitoring server, when monitoring server is judged
The ID of Cognos terminal can then go to obtain described in each run in Cognos terminal with laissezpasser in above-mentioned ID list
Cognos state of a process information.
In conclusion being obtained in Cognos terminal for the monitoring device of the Cognos process provided in the embodiment of the present application
Each Cognos state of a process information of operation, and according to each Cognos state of a process information, judge respectively
Whether each Cognos process is in abnormal, detects whether each Cognos process is in abnormal, overcomes current nothing
The defect of method detection Cognos process exception state.
Referring to Fig. 7, a kind of computer equipment is also provided in the embodiment of the present application, which can be server,
Its internal structure can be as shown in Figure 7.The computer equipment includes processor, the memory, network connected by system bus
Interface and database.Wherein, the processor of the Computer Design is for providing calculating and control ability.The computer equipment is deposited
Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program
And database.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.
The database of the computer equipment is for storing the data such as computer program.The network interface of the computer equipment is used for and outside
Terminal by network connection communication.A kind of monitoring side of Cognos process is realized when the computer program is executed by processor
Method.
Above-mentioned processor executes the step of monitoring method of above-mentioned Cognos process：It is run in acquisition Cognos terminal every
One Cognos state of a process information；The Cognos process is when running Cognos data model in the Cognos terminal
The process of generation；
According to each Cognos state of a process information, judge whether each Cognos process is in different respectively
Often.
In one embodiment, above-mentioned processor is according to each Cognos state of a process information, and judgement is each respectively
Whether the Cognos process is in after abnormal step, including：
If the Cognos process is in abnormal, carried out in the abnormal Cognos process according to predetermined manner
It automatically processes.
In one embodiment, above-mentioned processor is automatic to carrying out in the abnormal Cognos process according to predetermined manner
The step of processing, including：
Restarting is in the abnormal Cognos process or kills in the abnormal Cognos process.
In one embodiment, above-mentioned processor is automatic to carrying out in the abnormal Cognos process according to predetermined manner
The step of processing further includes：
The corresponding progress information of the Cognos process for occurring abnormal is recorded into local data base；The process letter
Process type, runing time, the time being abnormal are included at least in breath.
In one embodiment, above-mentioned processor will occur the abnormal corresponding progress information of the Cognos process record to
After step in local data base, including：
According to the record in the local data base, analyze in preset period of time each occur the abnormal Cognos into
The frequency that journey is abnormal；
According to the frequency, handle according to preset rules there is the abnormal Cognos process.
In one embodiment, described according to the frequency, according to preset rules to the Cognos process for exception occur
The step of being handled include：
If the frequency that the Cognos process is abnormal is more than preset value, the list of the Cognos process is added
Into default list, and the Cognos process in the default list is monitored according to predetermined manner.
In one embodiment, described to record the corresponding progress information of the Cognos process for exception occur to local number
After the step in library, including：
Occur the abnormal time according to the Cognos process recorded in the local data base, analyzes the Cognos
Process is abnormal the abnormal time section of maximum probability；
When in the abnormal time section in the abnormal maximum probability, according to predetermined manner to the Cognos process into
Row monitoring.
In one embodiment, above-mentioned processor obtains each the Cognos state of a process letter run in Cognos terminal
Before the step of breath, further include：
The trusting relationship with the Cognos terminal is established, includes that the monitoring server obtains institute in the trusting relationship
State the permission of each run in Cognos terminal Cognos state of a process information.
In one embodiment, above-mentioned processor obtains each the Cognos state of a process letter run in Cognos terminal
The step of breath, including：
At interval of preset time, the shape of each the Cognos process run in the primary Cognos terminal is obtained
State information.
It will be understood by those skilled in the art that structure shown in Fig. 7, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme.
One embodiment of the application also provides a kind of computer storage medium, is stored thereon with computer program, computer journey
A kind of monitoring method of Cognos process is realized when sequence is executed by processor, specially：
Monitoring server obtains each the Cognos state of a process information run in Cognos terminal；The Cognos
Process is the process generated when running Cognos data model in the Cognos terminal；
According to each Cognos state of a process information, judge whether each Cognos process is in different respectively
Often.
In one embodiment, above-mentioned processor is according to each Cognos state of a process information, and judgement is each respectively
Whether the Cognos process is in after abnormal step, including：
If the Cognos process is in abnormal, carried out in the abnormal Cognos process according to predetermined manner
It automatically processes.
In one embodiment, above-mentioned processor is automatic to carrying out in the abnormal Cognos process according to predetermined manner
The step of processing, including：
Restarting is in the abnormal Cognos process or kills in the abnormal Cognos process.
In one embodiment, above-mentioned processor is automatic to carrying out in the abnormal Cognos process according to predetermined manner
The step of processing further includes：
The corresponding progress information of the Cognos process for occurring abnormal is recorded into local data base；The process letter
Process type, runing time, the time being abnormal are included at least in breath.
In one embodiment, above-mentioned processor will occur the abnormal corresponding progress information of the Cognos process record to
After step in local data base, including：
According to the record in the local data base, analyze in preset period of time each occur the abnormal Cognos into
The frequency that journey is abnormal；
According to the frequency, handle according to preset rules there is the abnormal Cognos process.
In one embodiment, described according to the frequency, according to preset rules to the Cognos process for exception occur
The step of being handled include：
If the frequency that the Cognos process is abnormal is more than preset value, the list of the Cognos process is added
Into default list, and the Cognos process in the default list is monitored according to predetermined manner.
In one embodiment, described to record the corresponding progress information of the Cognos process for exception occur to local number
After the step in library, including：
Occur the abnormal time according to the Cognos process recorded in the local data base, analyzes the Cognos
Process is abnormal the abnormal time section of maximum probability；
When in the abnormal time section in the abnormal maximum probability, according to predetermined manner to the Cognos process into
Row monitoring.
In one embodiment, above-mentioned processor obtains each the Cognos state of a process letter run in Cognos terminal
Before the step of breath, further include：
The trusting relationship with the Cognos terminal is established, includes that the monitoring server obtains institute in the trusting relationship
State the permission of each run in Cognos terminal Cognos state of a process information.
In one embodiment, above-mentioned processor obtains each the Cognos state of a process letter run in Cognos terminal
The step of breath, including：
The monitoring server obtains described in each run in the primary Cognos terminal at interval of preset time
Cognos state of a process information.
In conclusion for the monitoring method of the Cognos process provided in the embodiment of the present application, device, computer equipment and
Storage medium obtains each the Cognos state of a process information run in Cognos terminal, and according to each described
Cognos state of a process information, judges whether each Cognos process is in abnormal respectively, detects each
Whether Cognos process is in abnormal, overcomes the defect that can not detect Cognos process exception state at present.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can store and a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
Any reference used in provided herein and embodiment to memory, storage, database or other media,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM can by diversified forms
, such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double speed are according to rate SDRAM (SSRSDRAM), increasing
Strong type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, device, article or the method that include a series of elements not only include those elements, and
And further include the other elements being not explicitly listed, or further include for this process, device, article or method institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, device of element, article or method.
The foregoing is merely preferred embodiment of the present application, are not intended to limit the scope of the patents of the application, all utilizations
Equivalent structure or equivalent flow shift made by present specification and accompanying drawing content is applied directly or indirectly in other correlations
Technical field, similarly include in the scope of patent protection of the application.
Claims (10)
1. a kind of monitoring method of Cognos process, which is characterized in that include the following steps：
Obtain each the Cognos state of a process information run in Cognos terminal；The Cognos process is described
The process generated when running Cognos data model in Cognos terminal；
According to each Cognos state of a process information, judge whether each Cognos process is in abnormal respectively.
2. the monitoring method of Cognos process according to claim 1, which is characterized in that the basis is each described
Cognos state of a process information, judges whether each Cognos process is in after abnormal step respectively, including：
If the Cognos process is in abnormal, restarting is in the abnormal Cognos process or kills in abnormal
The Cognos process.
3. the monitoring method of Cognos process according to claim 1, which is characterized in that the basis is each described
Cognos state of a process information, judges whether each Cognos process is in after abnormal step respectively, including：
The corresponding progress information of the Cognos process for occurring abnormal is recorded into local data base；In the progress information
Including at least process type, runing time, the time being abnormal.
4. the monitoring method of Cognos process according to claim 3, which is characterized in that described to occur described in exception
After the corresponding progress information of Cognos process records the step into local data base, including：
According to the record in the local data base, each described Cognos process for exception occur in preset period of time of analyzing is sent out
Raw abnormal frequency；
According to the frequency, handle according to preset rules there is the abnormal Cognos process.
5. the monitoring method of Cognos process according to claim 4, which is characterized in that it is described according to the frequency, it presses
Include to there is the step of abnormal Cognos process is handled according to preset rules：
If the frequency that the Cognos process is abnormal is more than preset value, the list of the Cognos process is added to pre-
If in list, and being monitored according to predetermined manner to the Cognos process in the default list.
6. the monitoring method of Cognos process according to claim 3, which is characterized in that described to occur described in exception
After the corresponding progress information of Cognos process records the step into local data base, including：
According to the time that the Cognos process recorded in the local data base is abnormal, the Cognos process is analyzed
It is abnormal the abnormal time section of maximum probability；
When in the abnormal time section in the abnormal maximum probability, the Cognos process is supervised according to predetermined manner
Control.
7. the monitoring method of Cognos process according to claim 1, which is characterized in that in the acquisition Cognos terminal
Before the step of each Cognos state of a process information of operation, further include：
The trusting relationship with the Cognos terminal is established, to have described in each for obtaining and running in the Cognos terminal
The permission of Cognos state of a process information.
8. a kind of monitoring device of Cognos process, which is characterized in that including：
Acquiring unit, for obtaining each the Cognos state of a process information run in Cognos terminal；The Cognos
Process is the process generated when running Cognos data model in the Cognos terminal；
Judging unit, for judging each Cognos process respectively according to each Cognos state of a process information
Whether in abnormal.
9. a kind of computer equipment, including memory and processor, it is stored with computer program in the memory, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer storage medium, is stored thereon with computer program, which is characterized in that the computer program is located
The step of reason device realizes method described in any one of claims 1 to 7 when executing.
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| CN201810422090.1A CN108874618B (en) | 2018-05-04 | 2018-05-04 | Cognos process monitoring method and device, computer equipment and storage medium |
| PCT/CN2018/095670 WO2019210578A1 (en) | 2018-05-04 | 2018-07-13 | Cognos process monitoring method and apparatus, and computer device and storage medium |
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| CN201810422090.1A CN108874618B (en) | 2018-05-04 | 2018-05-04 | Cognos process monitoring method and device, computer equipment and storage medium |
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| WO2019210578A1 (en) | 2019-11-07 |
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