CN109086986B - Job scheduling method and device - Google Patents
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Abstract
The invention discloses a job scheduling method and device. Wherein, the method comprises the following steps: acquiring a job scheduling instruction, wherein the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled; determining associated data and an associated relation model corresponding to each job task in a plurality of job tasks according to the job scheduling instruction, wherein the associated relation model is used for indicating the interdependency relation between each job task and other job tasks; determining a target scheduling result according to the associated data and the associated relation model corresponding to each job task, wherein the target scheduling result at least comprises the following steps: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks; and performing job scheduling according to the target scheduling result. The invention solves the technical problem of low efficiency in the job task scheduling process.
Description
Technical Field
The invention relates to the technical field of information scheduling, in particular to a job scheduling method and device.
Background
In the related technology, for a background task scheduling mechanism for credit card business marketing and data query, a background P processing task scheduling function is realized based on a JAVA multithreading technology, and the scheduling method is independent of the scheduling of program tasks of a personal client marketing system C, and is suitable for a system with less work flow.
In the current development working process, various workflows and the storage process are relatively complex to use, and job task scheduling cannot be effectively carried out, so that the job task scheduling is easy to be abnormal, and in the data query process, the data query quantity is large, the job task scheduling is disordered, the execution efficiency of the job task is low, the job task cannot be quickly executed, a user can wait for a long time, and the experience of the user can be reduced.
Aiming at the technical problem of low efficiency of the job task scheduling process, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a job scheduling method and device, which at least solve the technical problem of low efficiency in a job task scheduling process.
According to an aspect of an embodiment of the present invention, there is provided a job scheduling method, including: the method comprises the steps of obtaining a job scheduling instruction, wherein the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled; determining associated data and an associated relation model corresponding to each job task in the plurality of job tasks according to the job scheduling instruction, wherein the associated relation model is used for indicating the interdependence relation between each job task and other job tasks; determining a target scheduling result according to the associated data and the associated relation model corresponding to each job task, wherein the target scheduling result at least comprises: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks; and performing job scheduling according to the target scheduling result.
Further, determining the association data and the association relationship model corresponding to each job task in the plurality of job tasks according to the job scheduling instruction comprises: according to the job scheduling instruction, inquiring a preset job task table, and determining target job information corresponding to a target job task, wherein the target job information at least comprises: the workflow name, the historical execution date and the historical execution period which correspond to a target job task are the job tasks in the plurality of job tasks; determining a target execution period value according to the historical execution date and the historical execution period; and determining associated data and an associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
Further, after determining the associated data and the association relationship model corresponding to the target job task according to the workflow name and the target execution period value, the method further includes: under the condition that the target job information further comprises a target job precondition corresponding to the target job task, judging whether a historical job precondition corresponding to the target job precondition exists in the preset job task table; and acquiring workflow information of a target workflow corresponding to the target job task under the condition that the historical job precondition corresponding to the target job precondition is judged in the preset job task table, wherein the workflow information is information for indicating the target workflow for scheduling the target job task.
Further, before performing job scheduling according to the target scheduling result, the method includes: judging whether a target workflow corresponding to the target job task is called or not; under the condition that a target workflow corresponding to the target job task is called, identifying the target workflow through a first preset flag bit, wherein the first preset flag bit is used for indicating that the workflow cannot be called; and under the condition that the target workflow corresponding to the target job task is not called, identifying the target workflow through a second preset flag bit, wherein the second preset flag bit is used for indicating that the workflow waits to be called.
Further, according to the target scheduling result, performing job scheduling includes: comparing a preset scheduling configuration table to obtain target configuration information under the condition that a preset zone bit is a second preset zone bit, wherein the preset scheduling configuration table is compared through the name of a current workflow, and the target configuration information is used for performing operation configuration on the target workflow to execute a target operation task; generating operation control information according to the target configuration information and pre-acquired file operation information; acquiring target database information corresponding to the job task scheduling information; and scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
Further, after executing the target job task, the method further comprises: adding task execution information in a preset scheduling task log table, wherein the task execution information is used for indicating that the target job task is being executed.
According to another aspect of the embodiments of the present invention, there is also provided a job scheduling apparatus, including: the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a job scheduling instruction, and the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled; the first determining unit is used for determining association data and an association relation model corresponding to each job task in the plurality of job tasks according to the job scheduling instruction, wherein the association relation model is used for indicating the interdependency relation between each job task and other job tasks; a second determining unit, configured to determine a target scheduling result according to the associated data and the associated relationship model corresponding to each job task, where the target scheduling result at least includes: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks; and the scheduling unit is used for scheduling the job according to the target scheduling result.
Further, the first determination unit includes: the query module is used for querying a preset job task table according to the job scheduling instruction and determining target job information corresponding to a target job task, wherein the target job information at least comprises: the workflow name, the historical execution date and the historical execution period which correspond to a target job task are the job tasks in the plurality of job tasks; the first determining module is used for determining a target execution period value according to the historical execution date and the historical execution period; and the second determining module is used for determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
Further, the apparatus further comprises: the first judging submodule is used for judging whether a historical job precondition corresponding to the target job precondition exists in the preset job task table or not under the condition that the target job information also comprises the target job precondition corresponding to the target job task after determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value; the first obtaining sub-module is configured to obtain workflow information of a target workflow corresponding to the target job task when it is determined that the preset job task table has a historical job precondition corresponding to the target job precondition, where the workflow information is information indicating the target workflow for scheduling the target job task.
Further, the apparatus comprises: the second judgment submodule is used for judging whether the target workflow corresponding to the target job task is called or not before job scheduling is carried out according to the target scheduling result; the first identification submodule is used for identifying the target workflow through a first preset flag bit under the condition that the target workflow corresponding to the target job task is judged to be called, wherein the first preset flag bit is used for indicating that the workflow cannot be called; and the second identification submodule is used for identifying the target workflow through a second preset flag bit under the condition that the target workflow corresponding to the target job task is judged not to be called, wherein the second preset flag bit is used for indicating that the workflow waits to be called.
Further, the scheduling unit includes: the comparison submodule is used for comparing a preset scheduling configuration table to obtain target configuration information under the condition that a preset zone bit is a second preset zone bit, wherein the preset scheduling configuration table is compared through the name of the current workflow, and the target configuration information is used for performing operation configuration on the target workflow to execute a target operation task; the generation submodule is used for generating operation control information according to the target configuration information and the pre-acquired file operation information; the second acquisition submodule is used for acquiring target database information corresponding to the job task scheduling information; and the scheduling submodule is used for scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
Further, the apparatus further comprises: and the adding submodule is used for adding task execution information in a preset scheduling task log table after the target job task is executed, wherein the task execution information is used for indicating that the target job task is being executed.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and when the program runs, a device on which the storage medium is located is controlled to execute any one of the job scheduling methods described above.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes the job scheduling method described in any one of the above.
In the embodiment of the present invention, the job scheduling instruction may be obtained, the association data and the association relationship model corresponding to each job task in the multiple job tasks may be determined according to the job scheduling instruction, and then the target scheduling result may be determined according to the association data and the association relationship model corresponding to each job task, so as to perform job scheduling according to the target scheduling result. In this embodiment, job scheduling may be performed by using the association data and the association relationship model corresponding to each job task, and the order of executing the job tasks may be determined according to the association relationship between the job tasks, so that the job tasks are executed in order and efficiently, the job scheduling efficiency is improved, the job task execution efficiency is correspondingly improved, and the technical problem of low efficiency in the job task scheduling process is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow diagram of a job scheduling method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a job scheduling apparatus according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
To facilitate the understanding of the present invention, some terms or nouns related to the embodiments of the present invention are explained below:
JAVA, an object oriented programming language, is used in the present application to write job scheduling instructions.
In accordance with an embodiment of the present invention, there is provided a method embodiment for job scheduling, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The following embodiments may be applied to various job scheduling, for example, credit card merchant marketing and data query background task scheduling, personal customer marketing system job task scheduling, and may also be other job task scheduling, in the job task scheduling in the present application, job scheduling may be performed based on various preset scheduling manners, which may include but are not limited to: JAVA based multithreading. In the job scheduling method according to the embodiments of the present invention described below, a plurality of work tasks are processed by a multithread technique, so that the tasks can be processed in batch, the number of workflows can be set according to actual situations, for example, 50 workflows can be set according to actual situations, the workflows corresponding to the work tasks can be used in the present invention to execute in order according to the interdependence relation of the jobs, and after the workflow is interrupted, the workflow problem can be solved first, and then the workflow operation can be resumed. The database implemented in the invention can be a database used by a user, such as an oracle database, and the file import function can be realized through the sql loader in the oracle database.
The present invention is described below with reference to preferred implementation steps, and fig. 1 is a flowchart of a job scheduling method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step S102, a job scheduling instruction is obtained, wherein the job scheduling instruction is used for instructing the scheduling of a plurality of job tasks.
The number of the job tasks in the invention can be not specifically limited, and during the use process, the number of the job tasks can be determined according to the work tasks actually clicked by the user. In addition, the job scheduling command may be a job scheduling command transmitted from a processing center in the job scheduling system, and the job scheduling command is executed after the job task is determined.
And step S104, determining associated data and an associated relation model corresponding to each job task in the plurality of job tasks according to the job scheduling instruction, wherein the associated relation model is used for indicating the interdependence relation between each job task and other job tasks.
In the invention, the relevance among the job tasks is mainly acquired, so that the job scheduling is carried out, the use mode of the job tasks is simplified, and the job tasks are configured into the workflow scheduling program belonging to the workflow corresponding to the job tasks, so that the working efficiency is improved. The workflow corresponding to each job task can be executed in order according to the interdependence relation of the job tasks.
It should be noted that the association relationship may refer to association data between job tasks, for example, data between execution cycles corresponding to the job tasks, and the association relationship model may be understood as a model established for the association relationship between job tasks, and when the association relationship model is established, the association relationship between job tasks may be determined according to the association result between job tasks and job tasks, so as to establish the association relationship model.
Optionally, the scheduling script content is determined by a corresponding association module to determine the job task script, where the scheduling script content may include: job task scheduling path, job task scheduling name. After the content of the scheduling script is determined, a scheduling degree log may be initialized, and an association database may be opened, where the scheduling program log may include a log name, a system current-time log, and the like, and when the scheduling script opens the association database, it may be seen whether the association data may be opened, the number of times of the test may be a preset number (e.g., 5 times), and after the preset number is exceeded, it is determined that the scheduling fails.
As for the step S104, it may include: according to the job scheduling instruction, inquiring a preset job task table, and determining target job information corresponding to a target job task, wherein the target job information at least comprises: the workflow name, the historical execution date and the historical execution period which correspond to the target job task are the job tasks in the plurality of job tasks; determining a target execution period value according to the historical execution date and the historical execution period; and determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
The above embodiment may be implemented by determining information of job task scheduling, where the preset job task table may be a data table corresponding to the job tasks, and during the query, a currently executed target job task may be determined first, and then whether there is corresponding information in the preset job task table is searched for, so as to determine an association relationship between the job tasks. When determining the target job information, it is necessary to determine a workflow name, a job precondition, a history execution date, and a history execution period, where the workflow name may be understood as a workflow name of a workflow corresponding to a job task, and the workflow name may be a collection of various characters or data, for example, a workflow name such as ab12 is determined by letters and numbers. And the historical execution date may be the execution start time, the execution end time corresponding to the job task executed in the historical process, and the historical execution period may be understood as the execution time length and the execution interval period of the job task executed in the historical process.
The target execution period value can be determined through the historical execution date and the historical execution period, for example, the execution period value of the next job task is determined through the historical execution date and the historical execution period, so that the task execution time length is determined, and the time when the job task starts to execute and the time when the job task finishes to execute are predicted.
In addition, after determining the association data and the association relationship model corresponding to the target job task according to the workflow name and the target execution cycle value, the method further includes: under the condition that the target job information also comprises a target job precondition corresponding to the target job task, judging whether a historical job precondition corresponding to the target job precondition exists in a preset job task table; and under the condition that the preset job task table has the historical job precondition corresponding to the target job precondition, acquiring the workflow information of the target workflow corresponding to the target job task, wherein the workflow information is information for indicating the target workflow for scheduling the target job task.
In the above embodiment, whether to acquire the workflow information of the target workflow corresponding to the target job task may be determined by a target job precondition, which may be understood as an execution condition of the target job task, defining a condition for executing the target job task.
Step S106, determining a target scheduling result according to the associated data and the associated relation model corresponding to each job task, wherein the target scheduling result at least comprises the following steps: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks.
The target scheduling result may indicate how to perform job task scheduling, and when the target scheduling result is determined, job scheduling may be performed through a job thread. The execution sequence of each job thread can be understood as how to execute the job task after determining the association relationship of the job task, and then the job task is scheduled, so that the job thread executes the job task in order, and the execution efficiency of the job task can be rapidly improved.
For the above embodiment, the target scheduling result may further include schedule file information corresponding to the target job task, and the schedule file information may include, but is not limited to: after the information of the scheduling files is determined, the number of the files of the current job task can be inquired, so that the job task can be respectively executed.
And step S108, scheduling the job according to the target scheduling result.
Before performing job scheduling according to the target scheduling result, the embodiment of the method may further include: judging whether a target workflow corresponding to the target job task is called or not; under the condition that the target workflow corresponding to the target job task is called, identifying the target workflow through a first preset flag bit, wherein the first preset flag bit is used for indicating that the workflow cannot be called; and under the condition that the target workflow corresponding to the target job task is not called, identifying the target workflow through a second preset flag bit, wherein the second preset flag bit is used for indicating that the workflow waits to be called.
In the above embodiment, the current state of the target workflow related to the target job task is determined, so as to determine whether the target job task can be executed immediately according to the current state of the target workflow, where the first preset flag bit and the second preset flag bit may be flag bits that are set in advance by a user in a job scheduling process and used for identifying the state of the workflow, and specific flag bits are not specifically limited, for example, the first preset flag bit is set to be bzw1, the second preset flag bit is set to be bzw2, or the first preset flag bit is represented by 1 and the second preset flag bit is represented by 0, so that the state of the workflow may be determined by the flag bits, and the target workflow is called when the target workflow is in an idle state.
Wherein, the step of scheduling the job according to the target scheduling result comprises: comparing the preset scheduling configuration table to obtain target configuration information under the condition that the preset zone bit is a second preset zone bit, wherein the target configuration information is used for performing operation configuration on the target workflow to execute a target operation task by comparing the current workflow name with the preset scheduling configuration table; generating operation control information according to the target configuration information and the pre-acquired file operation information; acquiring target database information corresponding to job task scheduling information; and scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
With the above embodiment, the preset scheduling configuration table may be configured with job task execution paths, job threads executed by job tasks, database information of job task execution, and the like, and by using the preset scheduling configuration table, job configuration on the target workflow may be determined, so as to execute the target job task. The pre-acquired file job information may include a job file path, a job file name, and thus, job control information, which may be a job control file, is generated according to the target configuration information and the file job information. The target database information may include a user name and a password of the target database, and a preset decryption mode (such as single DES decryption) is invoked to decrypt the job scheduling ciphertext, so as to perform job task scheduling.
According to the embodiment of the invention, the job scheduling instruction can be obtained, the associated data and the associated relation model corresponding to each job task in the plurality of job tasks are determined according to the job scheduling instruction, and then the target scheduling result can be determined according to the associated data and the associated relation model corresponding to each job task, so that job scheduling is carried out according to the target scheduling result. In this embodiment, job scheduling may be performed by using the association data and the association relationship model corresponding to each job task, and the order of executing the job tasks may be determined according to the association relationship of the job tasks, so that the job tasks are executed in order and efficiently, the job scheduling efficiency is improved, the job task execution efficiency is correspondingly improved, and the technical problem of low efficiency in the job task scheduling process is solved.
Optionally, after executing the target job task, the embodiment of the present invention further includes: and adding task execution information in a preset scheduling task log table, wherein the task execution information is used for indicating that the target job task is being executed.
Before the task of scheduling the target job starts, the target job log may be determined, the log content may include a log path and a log file name, and after the target job log is determined, a dynamic library function of a data function may be imported by a scheduler packaged in advance, and the dynamic library function is pointed to an entry function of the dynamic library function, so as to perform job scheduling.
In the embodiment of the present invention, after the target job task is scheduled and executed, the execution state may be determined, and if the execution is successful, the execution state is determined to be the second preset flag bit to identify that the workflow is successfully called, so as to execute the target job task. The execution date in the batch scheduling task table can be updated to record the execution condition of the scheduling target job task.
By the embodiment, the workflow can be conveniently scheduled in the development working process, the use of the storage process is simplified, the corresponding use mode is simplified, only each job needs to be developed and configured in the workflow scheduling program, and the working efficiency can be improved.
The invention will now be described with reference to another embodiment.
In the embodiment of the present invention, the program execution may be performed in a JAVA programming manner, and the execution process may include the following steps:
1. calling the shell script at regular time through a regular calling module informatics, calling the contents of the shell script of a scheduling program in the shell script: path/scheduler name.
2. Initializing a dispatcher log with log name $ HOME (path)/log (directory)/control (date data) + the current date of the system;
3. the scheduling program opens the database, if the database fails, the default connection is performed for 5 times, and if the database fails for 5 times, the program exits;
4. an infinite loop starting round training task table (PM _ FILE _ DEF) is searched, and the names, the preconditions, the execution dates and the execution periods of all the task switches which are 01 are searched;
5. calculating a next period value by using the execution date and the execution period;
6. the task log table is dispatched according to the workflow name and the calculated next period value to find whether the preposed successful record exists or not;
7. if the workflow does not meet the condition, returning to the step 4, and continuing to train the task list in turns;
8. if the record meeting the condition is found in the scheduling task log table and the file path of the workflow is taken out, the number of the records, the number of the files and the like are recorded, and the scheduling program is respectively executed by inquiring whether the current task flow file number is a single file or a plurality of files;
9. before the dispatching program starts, whether the workflow is successfully called is judged, if the SQLLDR _ FG (first flag bit) is 1, the dispatching of the workflow is finished;
10. before the TUXEDO (message sending module, belonging to a service program) service is called, assigning all the defined domains to a TUXEDO buffer area through an FMLCHG (message sending function);
11. synchronizing Tux _ Server (receiving function, belonging to Server) services encapsulated by TPACALL (messaging function);
12. TUXEDO scheduling begins, a separate log will be written, $ HOME/log/Tux _ server.log (log file name);
13. the Tux _ Server service firstly opens a dynamic library function of an encapsulated SQLLDR (oracle execution function) import data function and points to an entry function of the function;
14. the function firstly takes out the field with the value assigned in the step 10 through a TUXEDO function FMLGET, and then takes out the information of a configuration table to prepare for subsequent SQLLDR import data through a current workflow name association scheduler configuration table (CREATE _ CTL _ TAB);
15. judging that the extracted second flag bit (SFile _ fg) judges that the type 1 is imported to execute SQLLDR, wherein the type 2 is SQLLDR + JAVA, and the type 3 is calling JAVA service;
wherein, since the type 2 in the above step 15 includes the 1 st and 3 rd cases, only the 2 nd case is explained here, and the detailed flow can be viewed.
16. Type 2 is Sqlldr + java: firstly, intercepting a file name through a file path acquired through a TUXEDO domain, and generating an Sqlldr control file;
17. acquiring a user name and a password of the database through $ HOME/ETC/bea.cfg (the configuration file stores encrypted database users and passwords);
18. a single DES decryption program is called to decrypt the ciphertext, and preparation is made for the next step of calling Sqlldr;
19. inserting a record into the scheduling task log table to indicate that the workflow is executed but is not successful, and simultaneously changing the SQLLDR _ FG mark into an executing state;
20. calling a system command to execute SQLLOADER import data;
21. changing the record state of the 19-step insertion into a success state, wherein SQLLDR _ FG =1 represents that the call has been successfully made;
22. updating a date in a batch scheduling task table (PM _ FILE _ DEF);
23. the system calls java packaged services;
24. the system call commands the refreshment of the materialized view (step 15: 3 cases all need to be called, SFile _ fg =1 or 2).
The steps can be applied to a background task scheduling mechanism for marketing of credit card merchants and data query, the background P processing task scheduling function is realized based on a JAVA multithreading technology, and the method is independent of the C program task scheduling of a personal customer marketing system, and is suitable for a system with less work flow. The scheduling program can be written by using JAVA language, an open source framework spring is used, and technologies such as thread pools, multithreading and the like in the framework are the core of the system, so that the system can be used for a system with less (less than 50) batch task workflows in end-to-end days. And the workflow is executed in order according to the interdependence relation of the operation. After the workflow is interrupted, the workflow can be resumed after the problem is solved.
File storage is realized by adopting an oracle Sqlloader, the related configuration parameters of the imported file are stored in a data table, if an external system interface field is changed, the file import function can be completed only by modifying the parameters of the configuration table without modifying any program code, and meanwhile, a plurality of flexible parameters are configured in the parameter table, so that selective configuration can be performed according to different application scenes.
In the data query system, the interface table and the application table are subjected to data synchronization through the materialized view, and because the daily synchronous data volume of data query is large and the efficiency is low, the refreshing speed of the materialized view can be greatly increased by the terminal daily program on the basis of refreshing the materialized view and the configuration of parallel parameters.
For a system receiving a large number of end-of-day jobs, if a large number of tasks are processed simultaneously, a CPU is severely loaded, and a CPU alarm is caused, so that the scheduling time of workflows can be configured in a batch scheduling parameter table, workflows consuming resources can be distributed to different time windows through the parameters, meanwhile, the number of threads processing the tasks simultaneously can be configured in a configuration file, and the parameters can also relieve the pressure of a server.
The execution modes in the above embodiment are summarized as follows:
and step 21, regularly starting a scheduling program every day.
During the use process, the data sharing file notification can be continuously received, after the file is received, file receiving success identification information can be sent out, and the corresponding file receiving success information is inserted into the task table to perform file scheduling task processing.
Step 22, scheduling degree. (corresponding to the above-mentioned steps 9 to 19)
Step 23, the service program. (corresponding to step 16 above)
Step 24, sqlldr is executed. (corresponding to the above step 15)
Step 25, calling the Java service. (corresponding to step 23 above)
By the embodiment, the corresponding use modes of the workflow and the storage process are simplified, and only each job needs to be developed and configured in the workflow scheduling program, so that the working efficiency can be improved.
Fig. 2 is a schematic diagram of a job scheduling apparatus according to an embodiment of the present invention, and as shown in fig. 2, the apparatus may include: an obtaining unit 21, configured to obtain a job scheduling instruction, where the job scheduling instruction is used to instruct that multiple job tasks are scheduled; the first determining unit 23 is configured to determine, according to the job scheduling instruction, association data and an association relationship model corresponding to each job task in the plurality of job tasks, where the association relationship model is used to indicate an interdependency relationship between each job task and other job tasks; a second determining unit 25, configured to determine a target scheduling result according to the associated data and the associated relationship model corresponding to each job task, where the target scheduling result at least includes: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks; and a scheduling unit 27, configured to perform job scheduling according to the target scheduling result.
With the above device embodiment, the job scheduling instruction may be acquired by the acquiring unit 21, the association data and the association relation model corresponding to each job task in the multiple job tasks may be determined according to the job scheduling instruction by the first determining unit 23, and then the target scheduling result may be determined according to the association data and the association relation model corresponding to each job task by the second determining unit 25, so as to perform job scheduling according to the target scheduling result by the scheduling unit 27. In this embodiment, job scheduling may be performed by using the association data and the association relationship model corresponding to each job task, and the order of executing the job tasks may be determined according to the association relationship of the job tasks, so that the job tasks are executed in order and efficiently, the job scheduling efficiency is improved, the job task execution efficiency is correspondingly improved, and the technical problem of low efficiency in the job task scheduling process is solved.
The first determining unit 23 may include: the query module is used for querying a preset job task table according to the job scheduling instruction and determining target job information corresponding to the target job task, wherein the target job information at least comprises: the workflow name, the historical execution date and the historical execution period which correspond to the target job task are the job tasks in the plurality of job tasks; the first determining module is used for determining a target execution period value according to the historical execution date and the historical execution period; and the second determining module is used for determining the association data and the association relation model corresponding to the target job task according to the workflow name and the target execution period value.
In addition, the above apparatus may further include: the first judgment submodule is used for judging whether a historical job precondition corresponding to the target job precondition exists in a preset job task table or not under the condition that the target job information also comprises the target job precondition corresponding to the target job task after determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value; the first obtaining sub-module is used for obtaining the workflow information of the target workflow corresponding to the target job task under the condition that the historical job precondition corresponding to the target job precondition is judged in the preset job task table, wherein the workflow information is information used for indicating the target workflow for scheduling the target job task.
It should be noted that, the apparatus may further include: the second judgment sub-module is used for judging whether the target workflow corresponding to the target job task is called or not before job scheduling is carried out according to the target scheduling result; the first identification submodule is used for identifying the target workflow through a first preset flag bit under the condition that the target workflow corresponding to the target job task is judged to be called, wherein the first preset flag bit is used for indicating that the workflow cannot be called; and the second identification submodule is used for identifying the target workflow through a second preset flag bit under the condition that the target workflow corresponding to the target job task is judged not to be called, wherein the second preset flag bit is used for indicating that the workflow waits to be called.
Optionally, the scheduling unit 27 includes: the comparison submodule is used for comparing the preset scheduling configuration table to obtain target configuration information under the condition that the preset zone bit is a second preset zone bit, wherein the preset scheduling configuration table is compared through the current workflow name, and the target configuration information is used for carrying out operation configuration on the target workflow so as to execute a target operation task; the generation submodule is used for generating operation control information according to the target configuration information and the pre-acquired file operation information; the second acquisition submodule is used for acquiring target database information corresponding to the job task scheduling information; and the scheduling submodule is used for scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
For the above embodiment, the apparatus may further include: and the adding submodule is used for adding task execution information in a preset scheduling task log table after the target job task is executed, wherein the task execution information is used for indicating that the target job task is being executed.
The above-mentioned job scheduling device may further include a processor and a memory, the above-mentioned obtaining unit 21, the first determining unit 23, the second determining unit 25, the scheduling unit 27, and the like are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to implement the corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one kernel can be set, and the job task scheduling mode is determined through the relation between job tasks by adjusting kernel parameters so as to quickly execute the target job task.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), including at least one memory chip.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and when the program runs, a device on which the storage medium is located is controlled to execute any one of the job scheduling methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes a job scheduling method according to any one of the foregoing methods.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring a job scheduling instruction, wherein the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled; determining associated data and an associated relation model corresponding to each job task in a plurality of job tasks according to the job scheduling instruction, wherein the associated relation model is used for indicating the interdependency between each job task and other job tasks; determining a target scheduling result according to the associated data and the associated relation model corresponding to each job task, wherein the target scheduling result at least comprises the following steps: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks; and performing job scheduling according to the target scheduling result.
Optionally, when the processor executes the program, the processor may query a preset job task table according to the job scheduling instruction, and determine target job information corresponding to the target job task, where the target job information at least includes: the workflow name, the historical execution date and the historical execution period which correspond to the target job task are the job tasks in the plurality of job tasks; determining a target execution period value according to the historical execution date and the historical execution period; and determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
Optionally, when the processor executes the program, under the condition that the target job information further includes a target job precondition corresponding to the target job task, it may be determined whether there is a historical job precondition corresponding to the target job precondition in the preset job task table; and under the condition that the preset job task table has the historical job precondition corresponding to the target job precondition, acquiring the workflow information of the target workflow corresponding to the target job task, wherein the workflow information is information for indicating the target workflow for scheduling the target job task.
Optionally, when the processor executes a program, it may determine whether a target workflow corresponding to a target job task is called; under the condition that the target workflow corresponding to the target job task is called, identifying the target workflow through a first preset flag bit, wherein the first preset flag bit is used for indicating that the workflow cannot be called; and under the condition that the target workflow corresponding to the target job task is not called, identifying the target workflow through a second preset flag bit, wherein the second preset flag bit is used for indicating that the workflow waits to be called.
Optionally, when the processor executes the program, the preset scheduling configuration table may be compared when the preset flag bit is the second preset flag bit, so as to obtain target configuration information, where the preset scheduling configuration table is compared by a current workflow name, and the target configuration information is used to perform job configuration on the target workflow, so as to execute the target job task; generating operation control information according to the target configuration information and the pre-acquired file operation information; acquiring target database information corresponding to the job task scheduling information; and scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
Optionally, when the processor executes the program, task execution information may be added to the preset scheduling task log table, where the task execution information is used to indicate that the target job task is being executed.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring a job scheduling instruction, wherein the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled; determining associated data and an associated relation model corresponding to each job task in a plurality of job tasks according to the job scheduling instruction, wherein the associated relation model is used for indicating the interdependency between each job task and other job tasks; determining a target scheduling result according to the associated data and the associated relation model corresponding to each job task, wherein the target scheduling result at least comprises the following steps: a plurality of job threads and an execution order for each job thread, the job threads for executing job tasks; and performing job scheduling according to the target scheduling result.
Optionally, when the computer program product executes a program, the preset job task table may be queried according to a job scheduling instruction, and target job information corresponding to a target job task is determined, where the target job information at least includes: the workflow name, the historical execution date and the historical execution period which correspond to the target job task are the job tasks in the plurality of job tasks; determining a target execution period value according to the historical execution date and the historical execution period; and determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
Optionally, when the computer program product executes the program, under the condition that the target job information further includes a target job precondition corresponding to the target job task, it may be determined whether there is a historical job precondition corresponding to the target job precondition in the preset job task table; and under the condition that the preset job task table has the historical job precondition corresponding to the target job precondition, acquiring the workflow information of the target workflow corresponding to the target job task, wherein the workflow information is information for indicating the target workflow for scheduling the target job task.
Optionally, when the computer program product executes a program, it may be determined whether a target workflow corresponding to a target job task is called; under the condition that the target workflow corresponding to the target job task is called, identifying the target workflow through a first preset flag bit, wherein the first preset flag bit is used for indicating that the workflow cannot be called; and under the condition that the target workflow corresponding to the target job task is not called, identifying the target workflow through a second preset flag bit, wherein the second preset flag bit is used for indicating that the workflow waits to be called.
Optionally, when the computer program product executes a program, the preset scheduling configuration table may be compared to obtain target configuration information when the preset flag bit is a second preset flag bit, where the preset scheduling configuration table is compared by a current workflow name, and the target configuration information is used to perform job configuration on a target workflow to execute a target job task; generating operation control information according to the target configuration information and the pre-acquired file operation information; acquiring target database information corresponding to job task scheduling information; and scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
Optionally, when the computer program product executes the program, task execution information may be added to the preset scheduling task log table, where the task execution information is used to indicate that the target job task is being executed.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described in detail in a certain embodiment.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is substantially or partly contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A job scheduling method, based on JAVA multithreading technology, comprising:
the method comprises the steps of obtaining a job scheduling instruction, wherein the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled;
determining associated data and an associated relation model corresponding to each job task in the plurality of job tasks according to the job scheduling instruction, wherein the associated relation model is used for indicating the interdependence relation between each job task and other job tasks;
judging whether a target workflow corresponding to a target job task is called or not before job scheduling is carried out according to a target scheduling result, and under the condition that the target workflow corresponding to the target job task is called, identifying the target workflow through a first preset flag bit, wherein the first preset flag bit is used for indicating that the workflow cannot be called; under the condition that the target workflow corresponding to the target job task is judged not to be called, the target workflow is identified through a second preset flag bit, wherein the second preset flag bit is used for indicating that the workflow waits to be called,
determining a target scheduling result according to the associated data and the associated relation model corresponding to each job task, wherein the target scheduling result at least comprises: the method comprises the following steps that a plurality of job threads and the execution sequence of each job thread are used, the job threads are used for executing job tasks, the target scheduling result further comprises scheduling file information corresponding to the target job task, and the scheduling file information comprises: after the information of the scheduling files is determined, the scheduling job tasks are respectively executed by inquiring the file number of the current job task;
and performing job scheduling according to the target scheduling result.
2. The method of claim 1, wherein determining, according to the job scheduling instructions, an association data and an association model for each of the plurality of job tasks comprises:
according to the job scheduling instruction, inquiring a preset job task table, and determining target job information corresponding to a target job task, wherein the target job information at least comprises: the workflow name, the historical execution date and the historical execution period which correspond to a target job task are the job tasks in the plurality of job tasks;
determining a target execution period value according to the historical execution date and the historical execution period;
and determining associated data and an associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
3. The method of claim 2, after determining the associated data and the association model corresponding to the target job task according to the workflow name and the target execution period value, further comprising:
under the condition that the target job information also comprises a target job precondition corresponding to the target job task, judging whether a historical job precondition corresponding to the target job precondition exists in the preset job task table or not;
and acquiring workflow information of a target workflow corresponding to the target job task under the condition that the historical job precondition corresponding to the target job precondition is judged in the preset job task table, wherein the workflow information is information for indicating the target workflow for scheduling the target job task.
4. The method of claim 1, wherein performing job scheduling according to the target scheduling result comprises:
comparing a preset scheduling configuration table to obtain target configuration information under the condition that a preset zone bit is a second preset zone bit, wherein the preset scheduling configuration table is compared through the name of the current workflow, and the target configuration information is used for performing operation configuration on the target workflow to execute a target operation task;
generating operation control information according to the target configuration information and file operation information acquired in advance;
acquiring target database information corresponding to job task scheduling information;
and scheduling the target job task according to the job control information and the target database information so as to execute the target job task.
5. The method of claim 4, wherein after executing the target job task, the method further comprises:
adding task execution information in a preset scheduling task log table, wherein the task execution information is used for indicating that the target job task is being executed.
6. A job scheduling apparatus, wherein the job scheduling apparatus is based on JAVA multithreading technology, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a job scheduling instruction, and the job scheduling instruction is used for indicating that a plurality of job tasks are scheduled;
the first determining unit is used for determining association data and an association relation model corresponding to each job task in the plurality of job tasks according to the job scheduling instruction, wherein the association relation model is used for indicating the interdependency relation between each job task and other job tasks;
a second determining unit, configured to determine a target scheduling result according to the associated data and the associated relationship model corresponding to each job task, where the target scheduling result at least includes: the method comprises the following steps that a plurality of job threads and the execution sequence of each job thread are used, the job threads are used for executing job tasks, the target scheduling result further comprises scheduling file information corresponding to the target job task, and the scheduling file information comprises: after determining the information of the scheduling files, respectively executing the scheduling job tasks by inquiring the number of the files of the current job task;
the device still includes: the second judgment submodule is used for judging whether the target workflow corresponding to the target job task is called or not before job scheduling is carried out according to the target scheduling result; the first identification submodule is used for identifying the target workflow through a first preset flag bit under the condition that the target workflow corresponding to the target job task is judged to be called, wherein the first preset flag bit is used for indicating that the workflow cannot be called; a second identification submodule, configured to identify the target workflow through a second preset flag bit when it is determined that the target workflow corresponding to the target job task is not called, where the second preset flag bit is used to indicate that the workflow waits to be called,
and the scheduling unit is used for scheduling the job according to the target scheduling result.
7. The apparatus according to claim 6, wherein the first determining unit comprises:
the query module is used for querying a preset job task table according to the job scheduling instruction and determining target job information corresponding to a target job task, wherein the target job information at least comprises: the workflow name, the historical execution date and the historical execution period which correspond to a target job task are the job tasks in the plurality of job tasks;
the first determining module is used for determining a target execution period value according to the historical execution date and the historical execution period;
and the second determining module is used for determining the associated data and the associated relation model corresponding to the target job task according to the workflow name and the target execution period value.
8. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the job scheduling method according to any one of claims 1 to 5.
9. A processor, configured to run a program, wherein the program executes the job scheduling method according to any one of claims 1 to 5.
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| CN111381946B (en) * | 2018-12-29 | 2022-12-09 | 上海寒武纪信息科技有限公司 | Task processing method and device and related products |
| CN109743390B (en) * | 2019-01-04 | 2022-02-22 | 深圳壹账通智能科技有限公司 | Task scheduling method and device, computer equipment and storage medium |
| CN109862101B (en) * | 2019-02-13 | 2021-12-17 | 中国银行股份有限公司 | Cross-platform application starting method and device, computer equipment and storage medium |
| CN110096345B (en) * | 2019-03-16 | 2024-04-12 | 平安科技（深圳）有限公司 | Intelligent task scheduling method, device, equipment and storage medium |
| CN111832863B (en) * | 2019-04-22 | 2024-05-10 | 中国石油化工股份有限公司 | Production scheduling method, system and storage medium for petroleum refining enterprises |
| CN110245181A (en) * | 2019-04-25 | 2019-09-17 | 深圳壹账通智能科技有限公司 | Data synchronous synchronous method, device and computer storage medium |
| CN110390493B (en) * | 2019-07-31 | 2021-10-22 | 北京字节跳动网络技术有限公司 | Task management method and device, storage medium and electronic equipment |
| CN110532227B (en) * | 2019-08-23 | 2022-05-24 | 广东浪潮大数据研究有限公司 | Job quantity query method and device |
| CN110532084B (en) * | 2019-09-04 | 2024-05-31 | 深圳前海微众银行股份有限公司 | Platform task scheduling method, device, equipment and storage medium |
| CN111240819A (en) * | 2020-01-10 | 2020-06-05 | 山东浪潮通软信息科技有限公司 | Dispatching task issuing system and method |
| CN111340382A (en) * | 2020-03-06 | 2020-06-26 | 中国银行股份有限公司 | File scheduling method and device in bank system |
| CN111857970A (en) * | 2020-07-29 | 2020-10-30 | 北京思特奇信息技术股份有限公司 | Scheduling method and system based on multiple dependent processes |
| CN111736979A (en) * | 2020-08-06 | 2020-10-02 | 四川新网银行股份有限公司 | Method for evaluating health state of bank batch operation and adjusting time window |
| CN112416476B (en) * | 2020-11-25 | 2023-03-24 | 武汉联影医疗科技有限公司 | Workflow execution method and device, computer equipment and storage medium |
| CN112486658A (en) * | 2020-12-17 | 2021-03-12 | 华控清交信息科技(北京)有限公司 | Task scheduling method and device for task scheduling |
| CN113485820A (en) * | 2021-08-03 | 2021-10-08 | 北京百度网讯科技有限公司 | Task scheduling system and implementation method, device and medium thereof |
| CN115147031B (en) * | 2022-09-07 | 2022-12-06 | 深圳华锐分布式技术股份有限公司 | Clearing workflow execution method, device, equipment and medium |
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| CN106293971A (en) * | 2016-08-15 | 2017-01-04 | 张家林 | A kind of method and apparatus of distributed task dispatching |
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