CN109726315A - Data query method, apparatus calculates equipment and storage medium - Google Patents

Data query method, apparatus calculates equipment and storage medium Download PDF

Info

Publication number
CN109726315A
CN109726315A CN201811244935.9A CN201811244935A CN109726315A CN 109726315 A CN109726315 A CN 109726315A CN 201811244935 A CN201811244935 A CN 201811244935A CN 109726315 A CN109726315 A CN 109726315A
Authority
CN
China
Prior art keywords
service node
characteristic value
unique identification
characteristic
variable
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
Application number
CN201811244935.9A
Other languages
Chinese (zh)
Inventor
刘星
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
Original Assignee
Alibaba Group Holding Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to CN201811244935.9A priority Critical patent/CN109726315A/en
Publication of CN109726315A publication Critical patent/CN109726315A/en
Pending legal-status Critical Current

Links

Landscapes

  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

This specification provides a kind of data query method, apparatus, calculates equipment and storage medium, wherein the data query method includes: to extract the unique identification and corresponding characteristic variable and characteristic value of service node in business procession, and the unique identification, characteristic variable and characteristic value of service node are recorded;The characteristic variable of the service node and characteristic value are stored using the unique identification as major key;Report information is received, unique identification to be checked is determined according to the report information;It using the unique identification to be checked as major key, is inquired from the characteristic variable and characteristic value of the service node stored, and using the characteristic value inquired as return value.

Description

Data query method, apparatus calculates equipment and storage medium
Technical field
This specification is related to technical field of data processing, in particular to a kind of data query method, apparatus, calculate equipment and Storage medium.
Background technique
For payment platform, prevention and control and processing to fraud are always the core competence that platform obtains customer trust. Therefore each stage that mature payment platform has the anti-fraud scheme of complete set to be deployed in payment, from the safety religion before payment Educate the payment verification in payment, intercept even failure, then tried to the complaint after pay successfully, and try it is qualitative after compensation It pays.The accuracy for greatly relying on trial result is compensated after last trial is qualitative.Qualitative results accuracy is not high, will be direct Cause to compensate cost increase, to make compensation business that can not land.High qualitative of accuracy, can be greatly promoted compensation industry Business greatly guarantees the fund security of ordinary user, increases the trust to platform.
The variable that the current qualitative real-time model platform of fraud can calculate in real time is all that the moment occurs in the model triggered time It calculates, is that member submits report information asynchronous event in the trigger event for cheating qualitative real-time model, by cheating qualitative reality The variable that Shi Pingtai is calculated all is the variable portrayed when member submits and reports, defines our quarters to fraud feature in this way It draws.Qualitative results accuracy is not high, and the fund security degree of user is not high, causes user to reduce the trust of platform, makes user's body It tests bad.
Summary of the invention
In view of this, this specification embodiment provides a kind of data query method, apparatus, calculates equipment and storage is situated between Matter, to solve technological deficiency existing in the prior art.
According to this specification embodiment in a first aspect, providing a kind of data query method, comprising:
The unique identification and corresponding characteristic variable and characteristic value for extracting service node in business procession, by business Unique identification, characteristic variable and the characteristic value of node are recorded;
The characteristic variable of the service node and characteristic value are stored using the unique identification as major key;
Report information is received, unique identification to be checked is determined according to the report information;
Using the unique identification to be checked as major key, from the characteristic variable and characteristic value of the service node stored into Row inquiry, and using the characteristic value inquired as return value.
According to the second aspect of this specification embodiment, a kind of data query device is provided, comprising:
Extraction module: the unique identification and corresponding feature for being configured as extracting service node in business procession become Amount and characteristic value, the unique identification, characteristic variable and characteristic value of service node are recorded;
Memory module: it is configured as using the unique identification being major key by the characteristic variable and characteristic value of the service node It is stored;
Receiving module: it is configured as receiving report information, unique identification to be checked is determined according to the report information;
Enquiry module: it is configured as using the unique identification to be checked as major key, from the spy of the service node stored It is inquired in sign variable and characteristic value, and using the characteristic value inquired as return value.
According to the third aspect of this specification embodiment, a kind of calculating equipment is provided, including memory, processor and deposit The computer instruction that can be run on a memory and on a processor is stored up, the processor realizes the number when executing described instruction The step of according to querying method.
According to the fourth aspect of this specification embodiment, a kind of computer readable storage medium is provided, is stored with meter The step of calculation machine instruction, which realizes data query method when being executed by processor.
In this specification embodiment, by extracting the unique identification of service node and corresponding spy in business procession Variable and characteristic value are levied, the unique identification, characteristic variable and characteristic value of service node are recorded, are with the unique identification Major key stores the characteristic variable of the service node and characteristic value, receives report information, true according to the report information Fixed unique identification to be checked, using the unique identification to be checked as major key, from the characteristic variable of the service node stored It is inquired in characteristic value, and will uniquely be marked using the characteristic value inquired as return value according to the storage method Know and be used as major key, the characteristic variable of any service node can be inquired with characteristic value.
Detailed description of the invention
Fig. 1 is a kind of structure chart for calculating equipment that this specification embodiment provides;
Fig. 2 is a kind of flow chart for data query method that this specification embodiment provides;
Fig. 3 is a kind of flow chart for data query method that this specification embodiment provides;
Fig. 4 is a kind of flow chart for data query method that this specification embodiment provides;
Fig. 5 is a kind of module map for data query device that this specification embodiment provides.
Specific embodiment
Many details are explained in the following description in order to fully understand this specification.But this specification energy Enough to be implemented with being much different from other way described herein, those skilled in the art can be without prejudice to this specification intension In the case where do similar popularization, therefore this specification is not limited by following public specific implementation.
The term used in this specification one or more embodiment be only merely for for the purpose of describing particular embodiments, It is not intended to be limiting this specification one or more embodiment.In this specification one or more embodiment and appended claims The "an" of singular used in book, " described " and "the" are also intended to including most forms, unless context is clearly Indicate other meanings.It is also understood that term "and/or" used in this specification one or more embodiment refers to and includes One or more associated any or all of project listed may combine.
It will be appreciated that though may be retouched using term first, second etc. in this specification one or more embodiment Various information are stated, but these information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other It opens.For example, first can also be referred to as second, class in the case where not departing from this specification one or more scope of embodiments As, second can also be referred to as first.Depending on context, word as used in this " if " can be construed to " ... when " or " when ... " or " in response to determination ".
In the present specification, it provides a kind of data query method, apparatus, calculate equipment and storage medium, following It is described in detail one by one in embodiment.
Fig. 1 is to show the structural block diagram of the calculating equipment 100 according to one embodiment of this specification.The calculating equipment 100 Component include but is not limited to memory 110 and processor 120.Processor 120 is connected with memory 110 by bus 130, Database 150 is for saving data.
Calculating equipment 100 further includes access device 140, access device 140 enable calculate equipment 100 via one or Multiple networks 160 communicate.The example of these networks includes public switched telephone network (PSTN), local area network (LAN), wide area network (WAN), the combination of the communication network of personal area network (PAN) or such as internet.Access device 140 may include wired or wireless One or more of any kind of network interface (for example, network interface card (NIC)), such as IEEE802.11 wireless local area Net (WLAN) wireless interface, worldwide interoperability for microwave accesses (Wi-MAX) interface, Ethernet interface, universal serial bus (USB) connect Mouth, cellular network interface, blue tooth interface, near-field communication (NFC) interface, etc..
In one embodiment of this specification, unshowned other component in above-mentioned and Fig. 1 of equipment 100 is calculated It can be connected to each other, such as pass through bus.It should be appreciated that calculating device structure block diagram shown in FIG. 1 is merely for the sake of example Purpose, without including the limitation to this specification range.Those skilled in the art can according to need, and increases or replaces other Component.
Calculating equipment 100 may include any kind of static or mobile computing device, including mobile computer or movement It calculates equipment (for example, tablet computer, personal digital assistant, laptop computer, notebook computer, net book etc.), move Mobile phone (for example, smart phone), wearable calculating equipment (for example, smartwatch, intelligent glasses etc.) or other kinds of Mobile device, or the static calculating equipment of such as desktop computer or PC.It can also include mobile or quiet for calculating equipment 100 The only server of formula.
Wherein, processor 120 can execute the step in data query method shown in Fig. 2.Fig. 2 is shown according to this theory The flow chart of the data query method of bright one embodiment of book, including step 202 is to step 208.
Step 202: extracting the unique identification and corresponding characteristic variable and feature of service node in business procession Value, the unique identification, characteristic variable and characteristic value of service node are recorded.
It is described to record the unique identification, characteristic variable and characteristic value of service node in one embodiment of this specification It include: to record the unique identification of service node and corresponding characteristic variable and characteristic value.
In practical applications, the unique identification can include but is not limited to User ID, device id or user account etc.; The characteristic variable can include but is not limited to the customer transaction amount of money, customer transaction number etc.;The characteristic value may include but It is not limited to number, character or Boolean.
In one embodiment of this specification, the service node includes:
History service node or current business node.
In one embodiment of this specification, in business procession, to the characteristic variable and feature of the history service node Value is recorded, and is recorded to the characteristic variable and characteristic value of the current business node.
In one embodiment of this specification, the service node includes:
Business start node, business procedure node and/or service ending node.
The history service node includes history service start node, history service process node and/or history service knot Shu Jiedian, the current business node include that current business start node, current business process node and/or current business terminate Node.
In one embodiment of this specification, the characteristic variable includes:
Velocity class cumulative variations and index class query interface.
By taking payment as an example, the velocity class cumulative variations may include the day amount paid in user's past 7, calculate The value come is the expenditure full amount that the user goes over 7 days.
In practical application, the index class query interface is to judge whether user uses credible equipment to pay debt, according to Existing index, inputs the ID and device id of user, and output includes whether to pay debt, the value packet calculated for credible equipment It includes 0 or 1,1 expression user and pays debt using credible equipment, 0 indicates that user pays debt using untrusted devices.
In practical application, velocity class cumulative variations can be set according to actual needs with index class query interface It sets, this specification is not limited in any way this.
In one embodiment of this specification, the index class query interface includes:
Static number strong point query interface and reflux class index query interface.
Static number strong point query interface may include opening the card time for income card, the reflux class index query interface It may include the characteristic variable pushed offline.
In one embodiment of this specification, it is described by the characteristic variable of service node and characteristic value carry out record include:
The characteristic variable of the service node and characteristic value are recorded in feature snapshot table.
Wherein, the feature snapshot table may include multiple feature snapshot tables, when the feature of feature snapshot table record Variable and characteristic value reach the feature snapshot table record upper limit, and also Unrecorded characteristic variable and characteristic value are recorded in next spy It levies in snapshot table, the characteristic variable of the service node and characteristic value is all recorded in feature snapshot table.
By user for carrying out online shopping on the net, feature is recorded in by the characteristic variable of the service node and characteristic value It is described in detail in snapshot table.
User submit order, at this time submit order process in characteristic variable and characteristic value carry out being recorded in feature snapshot In table, when user-pay, in course of payment at this time characteristic variable and characteristic value be recorded in feature snapshot table.Wherein The characteristic variable may include the amount paid that user goes over 7 days, and characteristic value at this time includes all gold of user 7 days expenditures The value of volume.Amount of money number when order is submitted to be recorded in corresponding feature snapshot table user, amount of money number when by user-pay It is recorded in corresponding feature snapshot table.
Step 204: being stored by characteristic variable and characteristic value of the major key to the service node of the unique identification.
It is major key by the characteristic variable and feature of the service node using the unique identification in one embodiment of this specification Value carries out storage
The feature snapshot table is stored in distributed memory system database using the unique identification as major key.
It is described to be stored in distribution by characteristic variable and characteristic value of the major key to the service node of the unique identification In storage system (Hbase) database, the distributed memory system can store mass data, and in the storage of each data Generate corresponding timestamp, so as to it is subsequent storing data is inquired when can reach more accurate according to the timestamp Inquiry, such as timestamp is 8:00 when storage, it is corresponding directly accurately can to inquire 8:00 according to the timestamp in inquiry Whole storing datas.
Step 206: receiving report information, unique identification to be checked is determined according to the report information.
In one embodiment of this specification, the reception report information determines to be checked unique according to the report information Mark includes receiving report information, and unique identification to be checked is obtained according to the report information.
Step 208: characteristic variable and spy using the unique identification to be checked as major key, from the service node stored It is inquired in value indicative, and using the characteristic value inquired as return value.
It is described using the unique identification to be checked as major key in one embodiment of this specification, from the business section stored Inquiry is carried out in the characteristic variable and characteristic value of point includes:
The unique identification to be checked is assigned to interface variables, by interface variables from the distributed memory system Query characteristics variable and characteristic value in database.
By taking certain online shopping event of user's report as an example, to the feature by the interface variables from the service node stored Inquiry is carried out in variable and characteristic value to be described in detail.It is recorded in feature snapshot table when according to customer transaction number to transaction Characteristic variable is inquired with characteristic value, and the characteristic variable being recorded in feature snapshot table when to report is looked into characteristic value It askes, using the characteristic value inquired as return value, judges whether this online shopping is swindle event according to return value.
In one embodiment of this specification, by extracting in business procession the unique identification of service node and corresponding Characteristic variable and characteristic value record the unique identification, characteristic variable and characteristic value of service node;With the unique identification It is stored for characteristic variable and characteristic value of the major key to the service node;Report information is received, according to the report information Determine unique identification to be checked;Using the unique identification to be checked as major key, the unique identification to be checked is assigned to Interface variables are inquired from the characteristic variable and characteristic value of the service node stored by the interface variables, and will The characteristic value inquired realizes real-time query as return value, according to interface polls method, and can be with query history business The characteristic variable and characteristic value of node improve the timeliness of data query method.
Fig. 3 is to show the data query method of one embodiment of this specification, and the data query method is to transfer accounts to debt For be described, including step 302 is to step 314.
Step 302: creation transaction.
In one embodiment of this specification, the creation transaction includes that user transfers accounts, and creates money transfer transactions.
Step 304: being recorded in fisrt feature snapshot table.
In one embodiment of this specification, according to user create money transfer transactions, extract creation during unique identification with And corresponding characteristic variable and characteristic value, and the unique identification and corresponding characteristic variable and characteristic value are recorded in first In feature snapshot table, wherein the unique identification includes Transaction Identification Number 111, the characteristic variable includes customer transaction number, described Characteristic value includes customer transaction number 10 times.
Step 306: user transfers accounts.
In one embodiment of this specification, the user, which transfers accounts, transfers accounts debt including user.
Step 308: being recorded in second feature snapshot table.
In one embodiment of this specification, according to the money transfer transactions of user, unique identification in transfer procedure and right is extracted The characteristic variable and characteristic value answered, and the unique identification and corresponding characteristic variable and characteristic value are recorded in second feature In snapshot table, wherein the unique identification includes Transaction Identification Number 111, the characteristic variable includes customer transaction number, the feature Value includes customer transaction number 11 times.
Wherein, creation transaction and user transfer accounts in unique identification and corresponding characteristic variable and characteristic value can recorde It, can also be in the spy of fisrt feature snapshot table record in the fisrt feature snapshot table or the second feature snapshot table It, will also Unrecorded characteristic variable and characteristic value in the case that sign variable and characteristic value reach the fisrt feature snapshot table record upper limit It is recorded in the second feature snapshot table, reaches second in the characteristic variable and characteristic value of second feature snapshot table record In the case that feature snapshot table records the upper limit, also Unrecorded characteristic variable and characteristic value can also be recorded in next feature In snapshot table, and so on, whole characteristic variables and characteristic value are recorded in feature snapshot table, therefore, feature is fast Number according to table is to determine that the application does not make this according to the unique identification of record and corresponding characteristic variable and characteristic value Any restriction.
According to the unique identification of user as major key, the fisrt feature snapshot table and the second feature snapshot table are deposited Storage is in distributed memory system database.
Step 310: user's report.
In one embodiment of this specification, the user's report includes receiving user's report information, is believed according to user's report Breath determines characteristic variable to be checked.
Step 312: extracting characteristic variable.
In one embodiment of this specification, the characteristic variable to be checked includes Transaction Identification Number of the user when this is transferred accounts.
Step 314: query characteristics variable and characteristic value.
In one embodiment of this specification, according to described using unique identification to be checked as major key, from distributed storage system It is inquired in system database, obtains corresponding feature snapshot table, characteristic variable and characteristic value are extracted from feature snapshot table, and Interface variables are assigned to, the interface is passed through according to the Transaction Identification Number that user provides using the characteristic value inquired as return value Variable is inquired from the characteristic value being recorded in feature snapshot table, realizes real-time query, and the characteristic value inquired is made It for return value, transfers accounts and tries to this, the return value is output in the model of this application, judges that this is transferred accounts Whether it is case of victimization, when model output result is high, determines that this is transferred accounts as case of victimization, determined and compensated according to the transfer amounts of user User's amount of money has largely ensured the financing security of user, promotes user to the trust of this platform.
In one embodiment of this specification, become in the process with the feature of service node when transferring accounts by extracting creation money transfer transactions Amount and characteristic value, respectively by Transaction Identification Number and creation money transfer transactions when characteristic variable and characteristic value and characteristic variable when transferring accounts and Characteristic value be recorded in fisrt feature snapshot table and in second feature snapshot table, is major key to the industry using the Transaction Identification Number The characteristic variable of node of being engaged in and characteristic value be stored in distributed memory system database, receive user's report information, root Transaction Identification Number to be checked is determined according to the report information;Using the Transaction Identification Number to be checked as major key, by the friendship to be checked Easy number is assigned to interface variables, is looked into from the characteristic variable and characteristic value of the service node stored by the interface variables It askes, and using the characteristic value inquired as return value, real-time query is realized by interface method, improves data query Timeliness, and by unique identification be used as major key, carry out inquire storage characteristic variable and characteristic value, characteristic variable is made It is more acurrate to the judgement of trial with characteristic variable and characteristic value more flexible, and that any time can be inquired.
Fig. 4 is to show the data query method of one embodiment of this specification, and the data query method is to shopping at network For be described, including step 402 is to step 418.
Step 402: creation order extracts characteristic variable and characteristic value.
In one embodiment of this specification, it includes that user carries out on the net that the creation order, which extracts characteristic variable and characteristic value, Shopping, when create order, unique identification and corresponding characteristic variable and characteristic value when extraction current business node are described Unique identification includes Transaction Identification Number 222, and the characteristic variable includes the user account amount of money, and the characteristic value includes the user account amount of money 2000 yuan.
Step 404: user-pay extracts characteristic variable and characteristic value.
In one embodiment of this specification, the user-pay extracts characteristic variable and characteristic value includes that user passes through payment When, the unique identification of service node and corresponding characteristic variable and characteristic value at this time are extracted, the unique identification includes transaction Numbers 222, the characteristic variable includes the user account amount of money, and the characteristic value includes 1000 yuan of the user account amount of money, will it is described only One mark and corresponding characteristic variable and characteristic value are recorded in feature snapshot table.
Feature according to the unique identification as major key to the characteristic variable and characteristic value when creating order and when paying the bill The feature snapshot table that variable and characteristic value are recorded be stored in the database of distributed memory system, and the distribution is deposited The database of storage system can store mass data, and accurately data query may be implemented.
Step 406: trading successfully, user is satisfied.
In one embodiment of this specification, customer transaction success, user is satisfied with this transaction, waits seller's delivery.
Step 408: it trades successfully, customer complaint transaction.
In one embodiment of this specification, customer transaction success, user is unsatisfied with this transaction, it is understood that there may be fraud feelings Condition, user report this transaction according to Transaction Identification Number.
Step 410: query characteristics value and as return value tries this transaction.
In one embodiment of this specification, the inquiry characteristic value and as return value, trying this transaction includes according to user Report information, determines characteristic variable to be checked, and the Transaction Identification Number when characteristic variable to be checked includes customer transaction will be handed over Easy number is assigned to interface variables, the user account amount of money and User ID when by interface variables from creation order with user-pay, Device id is inquired, and using the characteristic value inquired as return value, is judged this transaction event.
Step 412: non-fraud.
In one embodiment of this specification, by inquiring user in the characteristic variable of history service node and current business node With characteristic value, determines that this transaction is non-fraud according to return value, carry out processing of winding up the case.
Step 414: other events.
In one embodiment of this specification, other described events include by inquiry user in history service node and current industry The characteristic variable and characteristic value of business node determine that this transaction is other events according to return value, other described events can wrap The events such as the violated event such as porns, gambling and drugs, feudalistic superstition or internet dating love be cheated are included, above-mentioned event is carried out to submit related portion Door is further processed;Such as the violated event of above-mentioned porns, gambling and drugs occurs, public security department can be committed to and be further processed.
Step 416: fraud.
In one embodiment of this specification, the fraud includes by inquiry user in history service node and current industry The characteristic variable and characteristic value of business node determine that this transaction is fraud according to return value, carry out reparation processing.
Step 418: being compensated according to user's loss.
In one embodiment of this specification, it is described according to user loss carry out reparation include that this transaction is determined according to return value It determines that user loses property according to user's property of record for fraud, property is lost to user and is compensated, ensures and uses The fund security at family improves the experience of user, trust of the enhancing user to platform.
In one embodiment of this specification, by extract creation order process in payment when service node unique identification with And corresponding characteristic variable and characteristic value, characteristic variable when characteristic variable and characteristic value and payment when will create order respectively Be recorded in feature snapshot table with characteristic value, is major key by the characteristic variable of the service node and spy using the Transaction Identification Number Value indicative be stored in distributed memory system database, receive user's report information, according to the report information determine to The Transaction Identification Number of inquiry;Using the Transaction Identification Number to be checked as major key, the Transaction Identification Number to be checked is assigned to interface variables, is passed through The interface variables are inquired from the characteristic variable and characteristic value of the service node stored, and by the spy inquired Value indicative realizes real-time query as return value, by interface method, improves the timeliness of data query, and by uniquely marking Know and be used as major key, carry out the characteristic variable and characteristic value of inquiry storage, to characteristic variable using more flexible, and can inquire and to appoint The characteristic variable and characteristic value at meaning moment, it is more acurrate to the judgement of trial.
Corresponding with above method embodiment, this specification additionally provides data query device embodiment, and Fig. 5 shows this The module map of the data query device of specification one embodiment.As shown in figure 5, the device 500 includes:
Extraction module 502: it is configured as extracting the unique identification of service node and corresponding spy in business procession Variable and characteristic value are levied, the unique identification, characteristic variable and characteristic value of service node are recorded;
Memory module 504: it is configured as using the unique identification being major key by the characteristic variable of the service node and spy Value indicative is stored;
Receiving module 506: it is configured as receiving report information, unique mark to be checked is determined according to the report information Know;
Enquiry module 508: it is configured as using the unique identification to be checked as major key, from the service node stored It is inquired in characteristic variable and characteristic value, and using the characteristic value inquired as return value.
In an optional embodiment, the service node includes:
History service node and/or current business node.
In an optional embodiment, the service node includes:
Business start node, business procedure node and/or service ending node.
In an optional embodiment, the characteristic variable includes:
Velocity class cumulative variations and index class query interface.
In an optional embodiment, the index class query interface includes:
Static number strong point query interface and reflux class index query interface.
In an optional embodiment, the extraction module is configured to:
The characteristic variable of the service node and characteristic value are recorded in feature snapshot table.
In an optional embodiment, the memory module is configured to:
The feature snapshot table is stored in distributed memory system database using the unique identification as major key.
In an optional embodiment, the enquiry module is configured to:
The unique identification to be checked is assigned to interface variables, by the interface variables from the service node stored Characteristic variable and characteristic value in inquired.
In an optional embodiment, by extracting in business procession the unique identification of service node and corresponding Characteristic variable and characteristic value record the unique identification, characteristic variable and characteristic value of service node, with the unique identification The characteristic variable of the service node and characteristic value are stored for major key, report information is received, according to the report information It determines unique identification to be checked, using the unique identification to be checked as major key, becomes from the feature of the service node stored It is inquired in amount and characteristic value, and will be unique according to the storage method using the characteristic value inquired as return value Mark is used as major key, can be inquired with characteristic value the characteristic variable of any service node.
A kind of calculating equipment is also provided in one embodiment of this specification, including memory, processor and is stored in memory Computer instruction that is upper and can running on a processor, the processor realize the data query side when executing described instruction The step of method.
One embodiment of this specification also provides a kind of computer readable storage medium, is stored with computer instruction, this refers to The step of data query method as previously described is realized when order is executed by processor.
A kind of exemplary scheme of above-mentioned computer readable storage medium for the present embodiment.It should be noted that this is deposited The technical solution of the technical solution of storage media and above-mentioned data query method belongs to same design, the technical solution of storage medium The detail content being not described in detail may refer to the description of the technical solution of above-mentioned data query method.
The computer instruction includes computer program code, the computer program code can for source code form, Object identification code form, executable file or certain intermediate forms etc..The computer-readable medium may include: that can carry institute State any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, the computer storage of computer program code Device, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), Electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that the computer-readable medium include it is interior Increase and decrease appropriate can be carried out according to the requirement made laws in jurisdiction with patent practice by holding, such as in certain jurisdictions of courts Area does not include electric carrier signal and telecommunication signal according to legislation and patent practice, computer-readable medium.
It should be noted that for the various method embodiments described above, describing for simplicity, therefore, it is stated as a series of Combination of actions, but those skilled in the art should understand that, this specification is not limited by the described action sequence, because For according to this specification, certain steps can use other sequences or carry out simultaneously.Secondly, those skilled in the art also should Know, the embodiments described in the specification are all preferred embodiments, and related actions and modules might not all be this Necessary to specification.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, it may refer to the associated description of other embodiments.
This specification preferred embodiment disclosed above is only intended to help to illustrate this specification.Alternative embodiment is not All details of detailed descriptionthe, do not limit the invention to the specific embodiments described.Obviously, according in this specification Hold, can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to preferably explain this theory The principle and practical application of bright book, so that skilled artisan be enable to better understand and utilize this specification.This Specification is limited only by the claims and their full scope and equivalents.

Claims (18)

1. a kind of data query method characterized by comprising
The unique identification and corresponding characteristic variable and characteristic value for extracting service node in business procession, by service node Unique identification, characteristic variable and characteristic value recorded;
The characteristic variable of the service node and characteristic value are stored using the unique identification as major key;
Report information is received, unique identification to be checked is determined according to the report information;
Using the unique identification to be checked as major key, looked into from the characteristic variable and characteristic value of the service node stored It askes, and using the characteristic value inquired as return value.
2. the method according to claim 1, wherein the service node includes:
History service node and/or preceding service node.
3. according to the method described in claim 2, it is characterized in that, the service node includes:
Business start node, business procedure node and/or service ending node.
4. the method according to claim 1, wherein the characteristic variable includes:
Velocity class cumulative variations and index class query interface.
5. according to the method described in claim 4, it is characterized in that, the index class query interface includes:
Static number strong point query interface and reflux class index query interface.
6. the method according to claim 1, wherein described carry out the characteristic variable of service node and characteristic value Record includes:
The characteristic variable of the service node and characteristic value are recorded in feature snapshot table.
7. according to the method described in claim 6, it is characterized in that, being major key by the service node using the unique identification Characteristic variable and characteristic value carry out storage
The feature snapshot table is stored in distributed memory system database using the unique identification as major key.
8. the method according to claim 1, wherein using the unique identification to be checked as major key, Cong Suocun Inquiry is carried out in the characteristic variable and characteristic value of the service node of storage includes:
The unique identification to be checked is assigned to interface variables, by the interface variables from the spy of the service node stored It is inquired in sign variable and characteristic value.
9. a kind of data query device characterized by comprising
Extraction module: be configured as extract business procession in service node unique identification and corresponding characteristic variable and Characteristic value records the unique identification, characteristic variable and characteristic value of service node;
Memory module: it is configured as carrying out the characteristic variable of the service node and characteristic value using the unique identification as major key Storage;
Receiving module: it is configured as receiving report information, unique identification to be checked is determined according to the report information;
Enquiry module: it is configured as becoming using the unique identification to be checked as major key from the feature of the service node stored It is inquired in amount and characteristic value, and using the characteristic value inquired as return value.
10. device according to claim 9, which is characterized in that the service node includes:
History service node and/or current business node.
11. device according to claim 10, which is characterized in that the service node includes:
Business start node, business procedure node and/or service ending node.
12. device according to claim 9, which is characterized in that the characteristic variable includes:
Velocity class cumulative variations and index class query interface.
13. device according to claim 12, which is characterized in that the index class query interface includes:
Static number strong point query interface and reflux class index query interface.
14. device according to claim 9, which is characterized in that the extraction module is configured to:
The characteristic variable of the service node and characteristic value are recorded in feature snapshot table.
15. device according to claim 14, which is characterized in that the memory module is configured to:
The feature snapshot table is stored in distributed memory system database using the unique identification as major key.
16. device according to claim 9, which is characterized in that the enquiry module is configured to:
The unique identification to be checked is assigned to interface variables, by the interface variables from the spy of the service node stored It is inquired in sign variable and characteristic value.
17. a kind of calculating equipment including memory, processor and stores the calculating that can be run on a memory and on a processor Machine instruction, which is characterized in that the processor is realized when executing described instruction realizes that right the is wanted when instruction is executed by processor The step of seeking 1-8 any one the method.
18. a kind of computer readable storage medium, is stored with computer instruction, which is characterized in that the instruction is held by processor The step of claim 1-8 any one the method is realized when row.
CN201811244935.9A 2018-10-24 2018-10-24 Data query method, apparatus calculates equipment and storage medium Pending CN109726315A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811244935.9A CN109726315A (en) 2018-10-24 2018-10-24 Data query method, apparatus calculates equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811244935.9A CN109726315A (en) 2018-10-24 2018-10-24 Data query method, apparatus calculates equipment and storage medium

Publications (1)

Publication Number Publication Date
CN109726315A true CN109726315A (en) 2019-05-07

Family

ID=66294950

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811244935.9A Pending CN109726315A (en) 2018-10-24 2018-10-24 Data query method, apparatus calculates equipment and storage medium

Country Status (1)

Country Link
CN (1) CN109726315A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110457952A (en) * 2019-07-04 2019-11-15 阿里巴巴集团控股有限公司 A kind of monitoring and managing method of data record, device and equipment
CN110880040A (en) * 2019-11-08 2020-03-13 支付宝(杭州)信息技术有限公司 Method and system for automatically generating cumulative features
CN113032621A (en) * 2021-03-11 2021-06-25 超参数科技(深圳)有限公司 Data sampling method and device, computer equipment and storage medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102915346A (en) * 2012-09-26 2013-02-06 中国科学院软件研究所 Data index building and query method for Internet of Things intellisense
CN103019960A (en) * 2012-12-03 2013-04-03 华为技术有限公司 Distributed cache method and system
CN104516894A (en) * 2013-09-27 2015-04-15 国际商业机器公司 Method and device for managing time series database
CN105160039A (en) * 2015-10-13 2015-12-16 四川携创信息技术服务有限公司 Query method based on big data
CN105229597A (en) * 2013-05-22 2016-01-06 国际商业机器公司 Distributed nature is collected and correlation engine
CN105721185A (en) * 2014-12-03 2016-06-29 阿里巴巴集团控股有限公司 Information transmission method and apparatus among service nodes of computer system
CN106776913A (en) * 2016-11-30 2017-05-31 中国银联股份有限公司 The decision method and device of a kind of user ascription area
CN107301511A (en) * 2017-06-26 2017-10-27 北京小度信息科技有限公司 Method for managing resource, server and computer-readable recording medium
CN108427684A (en) * 2017-02-14 2018-08-21 华为技术有限公司 Data query method, apparatus and computing device

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102915346A (en) * 2012-09-26 2013-02-06 中国科学院软件研究所 Data index building and query method for Internet of Things intellisense
CN103019960A (en) * 2012-12-03 2013-04-03 华为技术有限公司 Distributed cache method and system
CN105229597A (en) * 2013-05-22 2016-01-06 国际商业机器公司 Distributed nature is collected and correlation engine
CN104516894A (en) * 2013-09-27 2015-04-15 国际商业机器公司 Method and device for managing time series database
CN105721185A (en) * 2014-12-03 2016-06-29 阿里巴巴集团控股有限公司 Information transmission method and apparatus among service nodes of computer system
CN105160039A (en) * 2015-10-13 2015-12-16 四川携创信息技术服务有限公司 Query method based on big data
CN106776913A (en) * 2016-11-30 2017-05-31 中国银联股份有限公司 The decision method and device of a kind of user ascription area
CN108427684A (en) * 2017-02-14 2018-08-21 华为技术有限公司 Data query method, apparatus and computing device
CN107301511A (en) * 2017-06-26 2017-10-27 北京小度信息科技有限公司 Method for managing resource, server and computer-readable recording medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110457952A (en) * 2019-07-04 2019-11-15 阿里巴巴集团控股有限公司 A kind of monitoring and managing method of data record, device and equipment
CN110880040A (en) * 2019-11-08 2020-03-13 支付宝(杭州)信息技术有限公司 Method and system for automatically generating cumulative features
CN113032621A (en) * 2021-03-11 2021-06-25 超参数科技(深圳)有限公司 Data sampling method and device, computer equipment and storage medium
CN113032621B (en) * 2021-03-11 2024-06-28 超参数科技(深圳)有限公司 Data sampling method, device, computer equipment and storage medium

Similar Documents

Publication Publication Date Title
CN108764911B (en) Transaction method and system for internet points
CN110148017A (en) Equity distribution method and device, electronic equipment, storage medium based on block chain
CN108604343A (en) Method and system for determining terminal location
KR101388654B1 (en) Financial Fraud Suspicious Transaction Monitoring System and a method thereof
CN108932585A (en) A kind of trade company's operation management method and its equipment, storage medium, electronic equipment
US11068885B2 (en) Method and system for deanomymizing cryptocurrency users by analyzing bank transfers to a cryptocurrency exchange
CN109726315A (en) Data query method, apparatus calculates equipment and storage medium
CN110555751B (en) Method and device for performing treatment in credit project
CN111784547B (en) Automatic checking method for house purchasing qualification and loan qualification based on blockchain predictor and intelligent contract
CN110796539A (en) Credit investigation evaluation method and device
CN108876188A (en) One inter-species even served business quotient's methods of risk assessment and device
CN108595579A (en) Contact person's cohesion evaluation method, device, computer equipment and storage medium
CN110363492A (en) Industry hatching method, system, equipment and storage medium Internet-based
CN107944851A (en) The management method of group's fund account, apparatus and system
CN110009501A (en) Financing method, system, calculating equipment and storage medium based on block chain
CN110533521A (en) Method for early warning, device, equipment and readable storage medium storing program for executing after dynamic is borrowed
CN110008336A (en) A kind of public sentiment method for early warning and system based on deep learning
CN106875595A (en) A kind of determination method and device of POS terminal place to use
CN110009487A (en) A kind of finance debt-credit methods of risk assessment and system
CN108769208A (en) Specific user's identification and information-pushing method and device
CN113191887A (en) Abnormal account early warning method and device
CN107977825A (en) A kind of method and device for distributing Service events
CN117094764A (en) Bank integral processing method and device
CN110390509A (en) Industry hatching method, system, equipment and storage medium Internet-based
KR20010094079A (en) Method Of Imitation Investment A Real Time Using Internet

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
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20200921

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant after: Innovative advanced technology Co.,Ltd.

Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant before: Advanced innovation technology Co.,Ltd.

Effective date of registration: 20200921

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant after: Advanced innovation technology Co.,Ltd.

Address before: A four-storey 847 mailbox in Grand Cayman Capital Building, British Cayman Islands

Applicant before: Alibaba Group Holding Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190507