CN112307088A - Method, device and equipment for inquiring state of process node and storage medium - Google Patents
Method, device and equipment for inquiring state of process node and storage medium Download PDFInfo
- Publication number
- CN112307088A CN112307088A CN202011207433.6A CN202011207433A CN112307088A CN 112307088 A CN112307088 A CN 112307088A CN 202011207433 A CN202011207433 A CN 202011207433A CN 112307088 A CN112307088 A CN 112307088A
- Authority
- CN
- China
- Prior art keywords
- data
- verification
- data set
- check
- node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 68
- 230000008569 process Effects 0.000 title claims abstract description 37
- 238000012795 verification Methods 0.000 claims abstract description 118
- 238000007711 solidification Methods 0.000 claims abstract description 53
- 230000008023 solidification Effects 0.000 claims abstract description 53
- 238000013075 data extraction Methods 0.000 claims abstract description 10
- 238000011144 upstream manufacturing Methods 0.000 abstract description 9
- 238000012545 processing Methods 0.000 abstract description 5
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000012423 maintenance Methods 0.000 abstract description 2
- NJPPVKZQTLUDBO-UHFFFAOYSA-N novaluron Chemical compound C1=C(Cl)C(OC(F)(F)C(OC(F)(F)F)F)=CC=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F NJPPVKZQTLUDBO-UHFFFAOYSA-N 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 230000001419 dependent effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 241001122767 Theaceae Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Computing Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to the field of pedestal operation and maintenance, and discloses a method, a device, equipment and a storage medium for inquiring the state of a process node. The process node state query method comprises the following steps: acquiring a query condition set input by a user, and acquiring a fixed check node and a first data set according to the query condition set; calculating a check proportion of the fixed check node to obtain a check proportion; carrying out curing rule verification operation on the first data set to obtain a curing verification result; performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set; and outputting and displaying the check proportion and the second data set on a page according to a preset display mode. According to the method and the device, the state of the specific data under the specific node can be inquired, the current progress of data processing between the upstream system and the downstream system can be obtained in real time, and the current situation that the downstream depends on the joint measurement of the upstream system is greatly improved by obtaining the shared data.
Description
Technical Field
The invention relates to the field of pedestal operation and maintenance, in particular to a method, a device, equipment and a storage medium for inquiring the state of a process node.
Background
Under the condition that service systems are more, a test link is very long, a plurality of systems are involved in interaction from front-end app to back-end, and in addition, cross-department requirements often occur without changing the system and without manpower support, so that the problem positioning and upstream data construction are very difficult. In order to understand the working schedule of the business, a set of working process which links all the working programs is usually designed according to actual needs, so as to record the working status of a project by checking each working node of the working process, control the working schedule in real time, and track the whole working process as a reference for subsequent improvement.
In the prior art, only the state of the whole fixed check node can be queried, and if all data streams under a certain fixed check node pass the verification, the fixed check node passes; however, if the partial data stream under the check node is not verified, only the result that the fixed check node fails can be obtained finally, and the state of a certain specific data under the fixed check node cannot be determined.
Disclosure of Invention
The invention mainly aims to solve the problem that the flow state of specific data cannot be determined in a flow node query scene.
The first aspect of the present invention provides a method for querying a state of a process node, including:
acquiring a query condition set input by a user, and acquiring a fixed check node and a first data set according to the query condition set;
calculating a check proportion of the fixed check node to obtain a check proportion;
carrying out curing rule verification operation on the first data set to obtain a curing verification result;
performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set;
and outputting and displaying the check proportion and the second data set on a page according to a preset display mode.
Wherein, the preset display mode comprises:
the check proportion is displayed in a numerical form, and the second data set is displayed in a chart form.
Optionally, in a first implementation manner of the first aspect of the present invention, the calculating a check ratio of the fixed check node, where obtaining the check ratio includes:
acquiring a preset data acquisition base number, and performing data acquisition operation on the fixed check nodes according to the data acquisition base number to obtain a verification data set;
searching and counting the data quantity containing the preset successful verification identification in the verification data set;
and calculating a check proportion based on the data acquisition base number and the data quantity containing the preset verification success identification to obtain the check proportion.
Optionally, in a second implementation manner of the first aspect of the present invention, before performing a curing rule verification operation on the first data set to obtain a curing verification result, the method further includes:
and creating a data solidification rule set, and binding a solidification level for the data in the first data set according to the data solidification rule set.
Optionally, in a third implementation manner of the first aspect of the present invention, the performing a curing rule verification operation on the first data set to obtain a curing verification result includes:
acquiring the curing grade and the preset curing matching grade of each data in the first data set;
and comparing the curing grade with the curing matching grade to obtain the curing verification result.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the performing, according to the solidification verification result, a target data extraction operation on the first data set to obtain a second data set includes:
adding a solidification verification identifier to the data in the first data set based on the solidification verification result;
and extracting target data from the first data set according to the solidification verification identification to obtain a second data set.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the acquiring a set of query conditions input by a user includes:
generating a data acquisition request, and analyzing the data acquisition request to obtain a data acquisition request analysis result;
and acquiring the query condition set according to the data acquisition request analysis result.
A second aspect of the present invention provides a flow node status query apparatus, including:
the data acquisition module is used for acquiring a query condition set input by a user and acquiring a fixed check node and a first data set according to the query condition set;
the node query module is used for calculating the check proportion of the fixed check nodes to obtain the check proportion;
the data query module is used for carrying out curing rule verification operation on the first data set to obtain a curing verification result; performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set;
and the output module is used for outputting and displaying the check proportion and the second data set on a page according to a preset display mode.
Optionally, in a first implementation manner of the second aspect of the present invention, the node querying module is specifically configured to:
acquiring a preset data acquisition base number, and performing data acquisition operation on the fixed check nodes according to the data acquisition base number to obtain a verification data set;
searching and counting the data quantity containing the preset successful verification identification in the verification data set;
and calculating a check proportion based on the data acquisition base number and the data quantity containing the preset verification success identification to obtain the check proportion.
Optionally, in a second implementation manner of the second aspect of the present invention, the data query module is specifically configured to:
and creating a data solidification rule set, and binding a solidification level for the data in the first data set according to the data solidification rule set.
Optionally, in a third implementation manner of the second aspect of the present invention, the data query module is specifically configured to:
acquiring the curing grade and the preset curing matching grade of each data in the first data set;
and comparing the curing grade with the curing matching grade to obtain the curing verification result.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the data query module is specifically configured to:
adding a solidification verification identifier to the data in the first data set based on the solidification verification result;
and extracting target data from the first data set according to the solidification verification identification to obtain a second data set.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the data obtaining module is specifically configured to:
generating a data acquisition request, and analyzing the data acquisition request to obtain a data acquisition request analysis result;
and acquiring the query condition set according to the data acquisition request analysis result.
A third aspect of the present invention provides a process node status query device, including: a memory and at least one processor, the memory having instructions stored therein; the at least one processor calls the instructions in the memory to enable the process node state query device to execute the process node state query method.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to execute the above-mentioned process node status query method.
According to the technical scheme, the method comprises the steps of obtaining a fixed check node and a first data set, calculating the check proportion of the fixed check node, carrying out curing rule verification on data in the first data set, then extracting target data, and finally outputting and displaying the check proportion and the target data. In this embodiment, the state of the specific data in the specific node can be queried, the current progress of data processing between the upstream and downstream systems can be obtained in real time, and the current situation of joint measurement of the downstream dependent upstream system can be greatly improved by obtaining the shared data.
Drawings
FIG. 1 is a diagram of an embodiment of a method for querying a state of a process node according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an embodiment of a flow node status query device according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an embodiment of a flow node status query device in the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a device, equipment and a storage medium for inquiring the state of a process node, which can inquire the state of specific data under a specific node, obtain the current progress of data processing between upstream and downstream systems in real time and greatly improve the current situation that the downstream depends on the joint measurement of the upstream systems by obtaining shared data.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, 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.
For convenience of understanding, a specific process of the embodiment of the present invention is described below, and referring to fig. 1, an embodiment of a method for querying a state of a process node according to the embodiment of the present invention includes:
101. acquiring a query condition set input by a user, and acquiring a fixed check node and a first data set according to the query condition set;
in this embodiment, the query condition set includes system information, rule query information, node query information, query rules, and query conditions, where the query conditions include an application number and an identification number, for example, the system information input by the user is a bill system a, the query rules are node query type 0402 nodes, the node query information is 0402 nodes, the query rules are "select from table1 where status is 2", the query conditions may be selected and filled, the system information and the query rules obtain fixed check node information as "0402 nodes under the bill system", the system information, the node query information, the query rules, and the query conditions obtain data to obtain all data record sets with a status of 2 under the 0402 nodes, please refer to table one. If the query condition "application number is New 002" is added on the basis, only the data record with the state of 2 and the application number of New002 in the 0402 node is displayed.
Watch 1
Application number | Name of a house | Identity card number | Data state | Detailed description of the state |
New001 | Zhang three | 13451344 | 2 | Apply for sending bank successfully |
New002 | Li four | 13451345 | 2 | Apply for sending bank successfully |
New003 | Wangwu tea | 13451346 | 2 | Apply for sending bank successfully |
The fixed check node is obtained by setting a check rule under a parameter configuration module of each system by a test point and daily business in a daily joint test scene, when data is input to the fixed check node, the fixed check node performs rule check on the data according to the pre-packaged check rule, if the data passes the rule check, an identifier of node check success is added to the data, if the data check fails, an identifier of node check failure is added to the data, and the identifier of node check success and the identifier of node check failure can be realized by adding a new field to the data in a database and endowing different values to the field. For example, it is known to define that the data is valid when the attribute "expiration date" of the data is greater than the current time point, and is invalid when the attribute "expiration date" of the data is less than the current time point, the fixed check node 2580 performs a rule verification on whether the data I1 and the data I2 are valid, first, the system reads the attribute "expiration date" of the data I1 and the data I2 and the current time point, then compares the current time point with the attribute "expiration date" of the data I1 and the data I2, the current time point is greater than the attribute "expiration date" of the data I1, so the data I1 is invalid, the current time point is less than the attribute "expiration date" of the data I2, so the data I2 is valid, and a set N { I1: invalid, I2: valid } of the verification result is obtained according to this verification result, and a field is added to the data I1 and the data I2 in the database, the field name is '2580 node verification', wherein the field '2580 node verification' of the data I1 has a value of false, the field '2580 node verification' of the data I2 has a value of true, so that a new data set A2 is { { I1:2580 node verification: false }, { I2:2580 node verification: true } } is obtained, and data which is successful in verification of the 2580 node and data which is failed in verification are clearly identified through the verification identification field so as to locate the next data.
In this embodiment, the acquiring the query condition set input by the user in 101 includes:
generating a data acquisition request, and analyzing the data acquisition request to obtain a data acquisition request analysis result;
and acquiring the query condition set according to the data acquisition request analysis result.
In this embodiment, when the user clicks the query button, the data acquisition module in the system sends a data acquisition request to the system, and the system receives the data acquisition request and then analyzes the data acquisition request to obtain an analysis result, for example, what data needs to be acquired, from which path to acquire, and the like, and finally sends the information input by the user, where the information input by the user may be stored in the local storage of the browser.
It is to be understood that the executing subject of the present invention may be a process node query device, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
102. Calculating a check proportion of the fixed check node to obtain a check proportion;
in this embodiment, the check ratio is set to prevent individual abnormal data from causing errors, and even in order to reduce the occurrence of such errors, a data acquisition rule specifying a data base may be set to calculate the check ratio when calculating the check ratio, it is specified that when the check ratio is greater than the check threshold, the node verification for querying is determined to pass, when the check ratio is less than the check threshold, the node verification for querying is determined to fail, the logic of calculating the check ratio is to divide the data amount of the specified node verification success by the total data amount, and the calculation of the data amount of the specified node verification success is based on the query and statistics of the verification identification field in the above steps.
In this embodiment, the aforementioned step 102 further includes:
acquiring a preset data acquisition base number, and performing data acquisition operation on the fixed check nodes according to the data acquisition base number to obtain a verification data set;
searching and counting the data quantity containing the preset successful verification identification in the verification data set;
and calculating a check proportion based on the data acquisition base number and the data quantity containing the preset verification success identification to obtain the check proportion.
In this embodiment, the data base is set to reduce the possibility of erroneous determination caused by individual data anomaly, so that a data record set with a specified data base can be obtained from a system data set, the data obtaining manner is not unique, and a user can modify the obtaining manner according to needs, such as obtaining odd pieces of data, obtaining even pieces of data, obtaining from a header, and obtaining from the end, for example, setting the data base as 100, that is, the value of m as 100, and directly obtaining the first 100 data records, for example, select from dbl mitli 100, from a database by using a specified sql when the obtaining manner is obtained from the header.
The data searching method comprises the steps of locating data by setting a verification identification field in the above steps, for example, when a data base number is set as m, m data records are obtained, each data record comprises one verification identification field, searching the data records with the value of the verification identification field in the obtained m data records in a database by specifying a query sql statement, and counting the data quantity, for example, the verification identification field is 5670 node verification, and the sql statement "select from db1 where '5670 node verification' is specified to obtain the data quantity n of the previous m data which is verified successfully.
The verification proportion is obtained by dividing the data amount n which is successfully verified in the data base specified in the above step by the data base m, for example, the data base is 100, and the data amount which is successfully verified in 100 pieces of data is 60, the verification proportion is 60%, and if the preset verification threshold is 80%, the user can determine that the node is failed to verify.
103. Carrying out curing rule verification operation on the first data set to obtain a curing verification result;
and the setting of curing data is increased, so that the condition that the personnel A cannot use due to the fact that the personnel A use the data by the personnel B is avoided. After the data is solidified, the data is only used for verification statistics, the key information is hidden, and the key information can be displayed only for the user A. The data solidification is realized by adding a solidification attribute for the data through a database tool, grading the data with different types through the solidification attribute, and the solidification rule verification is to match a solidification matching level preset by a user with the newly added solidification attribute, for example, a new field solidification level is defined for all data in the database, the solidification level field of the A-type data is set to be 1, the solidification level field of the B-type data is set to be 2, the preset solidification matching level of the user a is 1, and the obtained solidification verification result is that the A-type data is successfully solidified and verified, and the B-type data is failed in solidification and verification.
In this embodiment, before the step 103, the method further includes:
and creating a data solidification rule set, and binding a solidification level for the data in the first data set according to the data solidification rule set.
In this embodiment, the tester creates a data curing rule set according to the business requirement, for example, the curing rule 1: the status attribute needs to be displayed for personnel in the testing department and hidden for the product department. Curing rule 2: the code attribute is displayed only for the development department. Setting of the curing attribute is to add a field attribute in the database tool for the data set a2, and distinguish data of different levels by the field attribute, for example, adding a field as "curing level", where the curing level is 1, corresponding to data that can be seen by personnel in department a, the curing level is 2, corresponding to data that can be seen by personnel in department B, the curing level is 3, corresponding to data that can be seen by personnel in department C.
In this embodiment, the aforementioned step 103 further includes:
acquiring the curing grade and the preset curing matching grade of each data in the first data set;
and comparing the curing grade with the curing matching grade to obtain the curing verification result.
In this embodiment, for example, if the curing level of the obtained a-type data is 1, the curing level of the B-type data is 2, the curing level of the C-type data is 3, and the preset curing matching level of the current login is 3, a curing verification result is obtained: the A-type data solidification verification fails, the B-type data solidification verification fails, and the C-type data solidification verification succeeds.
104. Performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set;
in this embodiment, a curing verification identification field is added to the first data set by the database tool to identify the data curing verification result, and the required information is extracted according to different curing verification identifications.
In this embodiment, the aforementioned 104 further includes:
adding a solidification verification identifier to the data in the first data set based on the solidification verification result;
and extracting target data from the first data set according to the solidification verification identification to obtain a second data set.
In this embodiment, a field is defined for the first data set in the database, the field is named as "curing verification identifier", and values can be taken as true and false, when the curing verification of the data a and the data b fails, the curing verification identifier of the data a and the data b is "false", and when the curing verification of the data c succeeds, the curing verification identifier of the data c is "true", and finally, preset basic information of the data a and the data b, such as data of the fields of "application number", "house name", and "identification number", is extracted, and the data is only used for checking statistics; and extracting preset basic information and preset key information of the data c, such as a basic information application number, a user name and an identity card number, and the key information of whether the key information is solidified, a state and a state description, please refer to table two.
Watch two
105. Outputting and displaying the check proportion and the second data set on a page according to a preset display mode;
and clicking a query button, and displaying the check proportion obtained by correspondingly calculating the query condition set in a numerical type, such as 70%. And displaying the second data set of the data extraction in a table form, please refer to fig. two.
In the embodiment of the invention, the current progress of data processing between the upstream system and the downstream system is obtained in real time, the manpower for coordination analysis and positioning is reduced, and the current situation of joint measurement of the downstream dependent upstream system is greatly improved by obtaining the shared data.
The above description describes a method for querying a state of a flow node in an embodiment of the present invention, and the following description describes a device for querying a state of a flow node in an embodiment of the present invention, with reference to fig. 2, where an embodiment of the device for querying a state of a flow node in an embodiment of the present invention includes:
the data acquisition module 201 is configured to acquire a query condition set input by a user, and acquire a fixed check node and a first data set according to the query condition set;
the node query module 202 is configured to perform check ratio calculation on the fixed check node to obtain a check ratio;
the data query module 203 is configured to perform a curing rule verification operation on the first data set to obtain a curing verification result; performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set;
and the output module 204 is configured to output and display the check proportion and the second data set on a page according to a preset display mode.
Optionally, the node querying module 202 may be further specifically configured to:
acquiring a preset data acquisition base number, and performing data acquisition operation on the fixed check nodes according to the data acquisition base number to obtain a verification data set;
searching and counting the data quantity containing the preset successful verification identification in the verification data set;
and calculating a check proportion based on the data acquisition base number and the data quantity containing the preset verification success identification to obtain the check proportion.
Optionally, the data query module 203 may be further specifically configured to:
and creating a data solidification rule set, and binding a solidification level for the data in the first data set according to the data solidification rule set.
Optionally, the data query module 203 may be further specifically configured to:
acquiring the curing grade and the preset curing matching grade of each data in the first data set;
and comparing the curing grade with the curing matching grade to obtain the curing verification result.
Optionally, the data query module 203 may be further specifically configured to:
adding a solidification verification identifier to the data in the first data set based on the solidification verification result;
and extracting target data from the first data set according to the solidification verification identification to obtain a second data set.
Optionally, the data obtaining module 201 may be further specifically configured to:
generating a data acquisition request, and analyzing the data acquisition request to obtain a data acquisition request analysis result;
and acquiring the query condition set according to the data acquisition request analysis result.
In the embodiment of the invention, the modularized design ensures that hardware of each part of the flow node state query device is concentrated on realizing a certain function, the performance of the hardware is realized to the maximum extent, and meanwhile, the modularized design also reduces the coupling among the modules of the device, thereby being more convenient to maintain.
Fig. 1 and fig. 2 describe the flow node status query device in the embodiment of the present invention in detail from the perspective of a modular functional entity, and the flow node status query device in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 3 is a schematic structural diagram of a flow node status query device according to an embodiment of the present invention, where the flow node status query device 300 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 310 (e.g., one or more processors) and a memory 320, and one or more storage media 330 (e.g., one or more mass storage devices) storing applications 333 or data 332. Memory 320 and storage media 330 may be, among other things, transient or persistent storage. The program stored on the storage medium 330 may include one or more modules (not shown), each of which may include a series of instructions operating on the flow node status query device 300. Still further, the processor 310 may be configured to communicate with the storage medium 330 to execute a series of instruction operations in the storage medium 330 on the flow node status query device 300.
The process node status query device 300 may also include one or more power supplies 340, one or more wired or wireless network interfaces 350, one or more input-output interfaces 360, and/or one or more operating systems 331, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will appreciate that the configuration of the flow node status query device shown in fig. 3 does not constitute a limitation of the flow node status query device, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The invention further provides a process node state query device, which includes a memory and a processor, where the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the process node state query method in the above embodiments.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and may also be a volatile computer-readable storage medium, having stored therein instructions, which, when executed on a computer, cause the computer to perform the steps of the process node status query method.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
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 may be embodied in the form of 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 execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for querying a state of a process node is characterized by comprising the following steps:
acquiring a query condition set input by a user, and acquiring a fixed check node and a first data set according to the query condition set;
calculating a check proportion of the fixed check node to obtain a check proportion;
carrying out curing rule verification operation on the first data set to obtain a curing verification result;
performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set;
and outputting and displaying the check proportion and the second data set on a page according to a preset display mode.
2. The method for querying a state of a process node according to claim 1, wherein the calculating a check ratio of the fixed check node includes:
acquiring a preset data acquisition base number, and performing data acquisition operation on the fixed check nodes according to the data acquisition base number to obtain a verification data set;
searching and counting the data quantity containing the preset successful verification identification in the verification data set;
and calculating a check proportion based on the data acquisition base number and the data quantity containing the preset verification success identification to obtain the check proportion.
3. The method for querying a state of a process node according to claim 1, before performing a solidified rule verification operation on the first data set to obtain a solidified verification result, further comprising:
and creating a data solidification rule set, and binding a solidification level for the data in the first data set according to the data solidification rule set.
4. The method of claim 3, wherein the performing a solidified rule verification operation on the first data set to obtain a solidified verification result comprises:
acquiring the curing grade and the preset curing matching grade of each data in the first data set;
and comparing the curing grade with the curing matching grade to obtain the curing verification result.
5. The method for querying the state of a process node according to claim 1, wherein the performing the target data extraction operation on the first data set according to the solidified verification result to obtain a second data set comprises:
adding a solidification verification identifier to the data in the first data set based on the solidification verification result;
and extracting target data from the first data set according to the solidification verification identification to obtain a second data set.
6. The method for querying a state of a process node according to claim 1, wherein the acquiring a set of query conditions input by a user comprises:
generating a data acquisition request, and analyzing the data acquisition request to obtain a data acquisition request analysis result;
and acquiring the query condition set according to the data acquisition request analysis result.
7. A process node status query device, comprising:
the data acquisition module is used for acquiring a query condition set input by a user and acquiring a fixed check node and a first data set according to the query condition set;
the node query module is used for calculating the check proportion of the fixed check nodes to obtain the check proportion;
the data query module is used for carrying out curing rule verification operation on the first data set to obtain a curing verification result; performing target data extraction operation on the first data set according to the solidification verification result to obtain a second data set;
and the output module is used for outputting and displaying the check proportion and the second data set on a page according to a preset display mode.
8. The process node status query device of claim 7, wherein the node query module is specifically configured to:
acquiring a preset data acquisition base number, and performing data acquisition operation on the fixed check nodes according to the data acquisition base number to obtain a verification data set;
searching and counting the data quantity containing the preset successful verification identification in the verification data set;
and calculating a check proportion based on the data acquisition base number and the data quantity containing the preset verification success identification to obtain the check proportion.
9. A process node status query device, comprising: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the process node state query device to perform the process node state query method of any of claims 1-6.
10. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement the process node status query method of any one of claims 1-6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011207433.6A CN112307088A (en) | 2020-11-03 | 2020-11-03 | Method, device and equipment for inquiring state of process node and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011207433.6A CN112307088A (en) | 2020-11-03 | 2020-11-03 | Method, device and equipment for inquiring state of process node and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112307088A true CN112307088A (en) | 2021-02-02 |
Family
ID=74333937
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011207433.6A Pending CN112307088A (en) | 2020-11-03 | 2020-11-03 | Method, device and equipment for inquiring state of process node and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112307088A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115826875A (en) * | 2023-01-05 | 2023-03-21 | 摩尔线程智能科技(北京)有限责任公司 | Cache data invalidation verification method, device and system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150295592A1 (en) * | 2014-04-14 | 2015-10-15 | Samsung Electronics Co., Ltd | Decoding method, apparatus, and algorithm for nonbinary ldpc codes |
CN111400316A (en) * | 2020-03-04 | 2020-07-10 | 上海明略人工智能(集团)有限公司 | Data acquisition method and device, storage medium and electronic device |
CN111415163A (en) * | 2020-04-30 | 2020-07-14 | 中国银行股份有限公司 | Service processing and verifying method, system and verifying node based on block chain |
-
2020
- 2020-11-03 CN CN202011207433.6A patent/CN112307088A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150295592A1 (en) * | 2014-04-14 | 2015-10-15 | Samsung Electronics Co., Ltd | Decoding method, apparatus, and algorithm for nonbinary ldpc codes |
CN111400316A (en) * | 2020-03-04 | 2020-07-10 | 上海明略人工智能(集团)有限公司 | Data acquisition method and device, storage medium and electronic device |
CN111415163A (en) * | 2020-04-30 | 2020-07-14 | 中国银行股份有限公司 | Service processing and verifying method, system and verifying node based on block chain |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115826875A (en) * | 2023-01-05 | 2023-03-21 | 摩尔线程智能科技(北京)有限责任公司 | Cache data invalidation verification method, device and system |
CN115826875B (en) * | 2023-01-05 | 2023-04-28 | 摩尔线程智能科技(北京)有限责任公司 | Cache data invalidation verification method, device and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107885656B (en) | Automatic product algorithm testing method and application server | |
CN107665171B (en) | Automatic regression testing method and device | |
CN106502907A (en) | A kind of distributed software abnormality diagnostic method that is followed the trail of based on perform track | |
CN111723313A (en) | Page jump processing method, device, equipment and storage medium | |
CN107133233B (en) | Processing method and device for configuration data query | |
CN111858658B (en) | Data acquisition method, device, equipment and storage medium | |
CN111767350A (en) | Data warehouse testing method and device, terminal equipment and storage medium | |
CN110046086B (en) | Expected data generation method and device for test and electronic equipment | |
CN114116496A (en) | Automatic testing method, device, equipment and medium | |
US10241957B2 (en) | Workload patterns for realistic load recreation in performance testing | |
CN111427796A (en) | System testing method and device and electronic equipment | |
CN112612674A (en) | Method, device, equipment and computer readable storage medium for monitoring buried point data | |
CN111882399A (en) | Service information recommendation method, device, computer system and readable storage medium | |
CN111309726B (en) | Directed graph generation method, directed graph generation device and readable storage medium | |
CN112363923A (en) | Test method, device, computer equipment and medium based on questionnaire system | |
CN110020550B (en) | Assessment method, device and equipment for verification platform | |
CN112307088A (en) | Method, device and equipment for inquiring state of process node and storage medium | |
CN113434311B (en) | Service data interaction method, device, equipment and storage medium | |
CN111159028B (en) | Webpage testing method and device | |
CN115576831A (en) | Test case recommendation method, device, equipment and storage medium | |
CN115525660A (en) | Data table verification method, device, equipment and medium | |
CN115080401A (en) | Automatic testing method and related device | |
CN114691768A (en) | Data processing method, accounting system and related equipment | |
CN111309623B (en) | Coordinate class data classification test method and device | |
CN114328230A (en) | Method for generating test case, electronic device and computer readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210202 |