CN107657042B - Data query method and device for multiple data sources, storage medium and terminal - Google Patents
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- CN107657042B CN107657042B CN201710919378.5A CN201710919378A CN107657042B CN 107657042 B CN107657042 B CN 107657042B CN 201710919378 A CN201710919378 A CN 201710919378A CN 107657042 B CN107657042 B CN 107657042B
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Abstract
A data query method and device, a storage medium and a terminal of multiple data sources are provided, wherein the data query method comprises the following steps: receiving a plurality of data query requests of a data demand party; sequentially responding to the plurality of data query requests, and when each data query request is responded, polling the plurality of data providers from a next data provider behind the end point of the last data query request until the query is completed, wherein the end point of the last data query request is the data provider of which the query of the last data query request is completed; receiving query results obtained when the query of each data query request is completed; and sending the query result to the data demand side. According to the technical scheme, the data query method for the data supplied by the multiple data sources can be provided, so that multiple data suppliers have the opportunity to provide data for the data demanders, the coverage of the data demanders can be increased, and the data demanders can obtain the required data as far as possible.
Description
Technical Field
The invention relates to the field of data circulation, in particular to a data query method and device of multiple data sources, a storage medium and a terminal.
Background
In data transaction, there are situations where multiple data sources (i.e. data suppliers) provide homogeneous data information, and data consumers often need data support from multiple data sources in order to obtain required data information.
However, both parties of data transaction at present only have the technical scheme of single-point data transaction. Even if data supply of multiple data sources exists, the single-point data transaction scheme cannot provide data from the multiple data sources for the data demand parties, which causes that each data supply party lacks equal opportunities to provide data for the data demand parties, cannot meet fairness requirements of data supply of the multiple data sources, cannot meet data coverage requirements of the data demand parties, and even may cause that the data demand parties cannot obtain required data.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a multi-source data query method, so that a plurality of data suppliers have opportunities to provide data for data demanders, the data coverage of the data demanders can be improved, and the data demanders can obtain required data as far as possible.
To solve the foregoing technical problem, an embodiment of the present invention provides a data query method for multiple data sources, including: receiving a plurality of data query requests of a data demand party; sequentially responding to the plurality of data query requests, and when each data query request is responded, polling the plurality of data providers from a next data provider behind the end point of the last data query request until the query is completed, wherein the end point of the last data query request is the data provider of which the query of the last data query request is completed; receiving query results obtained when the query of each data query request is completed; and sending the query result to the data demand side.
Optionally, each data query request is for querying a single data attribute.
Optionally, the step of polling the plurality of data providers until the query is completed includes: polling whether the plurality of data providers are capable of providing the data attribute until the query is successful or the data query to all data providers is completed.
Optionally, the data attributes of different data query requests are the same or different.
Optionally, each data query request is used to query a plurality of data attributes.
Optionally, the polling the plurality of data suppliers until the query is completed includes: judging whether the plurality of data attributes can be provided or not from a next data supplier after the end point of the last data inquiry request; if the current data supplier can only provide a part of the plurality of data attributes, querying the next data supplier until the plurality of data attributes are all provided or the data query to all data suppliers is completed.
Optionally, the combination of the plurality of data attributes of different data query request queries is the same or different.
To solve the foregoing technical problem, an embodiment of the present invention provides a data query apparatus with multiple data sources, including: the first receiving module is suitable for receiving a plurality of data query requests of a data demand party; the polling module is suitable for responding to the plurality of data query requests in sequence, when each data query request is responded, the polling module polls the plurality of data providers from the next data provider behind the end point of the last data query request until the query is completed, and the end point of the last data query request is the data provider which completes the query of the last data query request; the second receiving module is suitable for receiving the query result obtained when the query of each data query request is completed; and the sending module is suitable for sending the query result to the data demander.
Optionally, each data query request is for querying a single data attribute.
Optionally, the polling module includes: and the polling submodule is suitable for polling whether the plurality of data suppliers can provide the data attributes until the inquiry is successful or the data inquiry of all the data suppliers is completed.
Optionally, the data attributes of different data query requests are the same or different.
Optionally, each data query request is used to query a plurality of data attributes.
Optionally, the polling module includes: a judging sub-module adapted to judge whether the plurality of data attributes can be provided or not, starting from a next data supplier after an end point of a previous data query request; a query submodule, adapted to query a next data supplier if the current data supplier can only provide a portion of the plurality of data attributes, until all of the plurality of data attributes are provided or a data query to all of the data suppliers is completed.
Optionally, the combination of the plurality of data attributes of different data query request queries is the same or different.
To solve the above technical problem, an embodiment of the present invention provides a storage medium having stored thereon computer instructions, which when executed perform the steps of the query method.
In order to solve the above technical problem, an embodiment of the present invention provides a terminal, including a memory and a processor, where the memory stores computer instructions executable on the processor, and the processor executes the steps of the query method when executing the computer instructions.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the embodiment of the invention firstly receives a plurality of data query requests of a data demand party to obtain the query requests of the data demand party; then the multiple data suppliers can respond to the multiple data query requests in sequence, when each data query request is responded, the multiple data suppliers can be polled from the next data supplier behind the data supplier with the last data query request being queried until the query is completed, at this time, if the data supplier is successful in query, the next data query request is continuously queried from the next data supplier, otherwise, the current data query request can be continuously queried from the next data supplier, so that the multiple data suppliers can uniformly provide data query for the demand side, the fairness requirement of data supply of the multiple data suppliers is met, the query result obtained by the data demand side is from different data suppliers due to polling, the data query range is expanded, and the diversity of data is enhanced, the coverage of data query of a data demander is increased, so that the data query request of the data demander can be satisfied as much as possible; and finally, sending the query result obtained when the query of each received data query request is completed to the data demand side to complete the data query.
Further, when the data query request contains different data attributes, the data demander realizes a single request for a plurality of data attributes, so that the number of times of the data query request can be reduced. When the data query request contains different data attributes, starting from a next data supplier after the end point of a previous data query request, firstly judging whether the multiple data attributes can be provided, and if all the multiple data attributes can be provided, directly querying the next data query request at the next data supplier; if the current data supplier can only provide a part of the plurality of data attributes, when querying the next data supplier, the rest of the data attributes which are not queried need to be queried until the plurality of data attributes are all provided or the data query to all the data suppliers is completed, so as to further meet the data query request of the data demander.
Drawings
FIG. 1 is a flow chart illustrating a data query method for multiple data sources according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of step S102 shown in FIG. 1;
fig. 3 is a schematic structural diagram of a data querying device with multiple data sources according to an embodiment of the present invention.
Detailed Description
As will be appreciated by those skilled in the art, as a matter of background, the existing single-point data transaction may not result in the data supplier not obtaining the data provided by the multiple data suppliers, the data coverage is small, or the data supplier may not provide the multiple data suppliers with equal data query opportunities.
The embodiment of the invention firstly receives a plurality of data query requests of a data demand party to obtain the query requests of the data demand party; then the multiple data suppliers can respond to the multiple data query requests in sequence, when each data query request is responded, the multiple data suppliers can be polled from the next data supplier behind the data supplier with the last data query request being queried until the query is completed, at the moment, if the data supplier successfully queries, the next data query request is continuously queried from the next data supplier, otherwise, the current data query request can be continuously queried from the next data supplier, the multiple data suppliers can provide data query for the demand side in a balanced manner, the fairness requirement of the data supplier for supplying data is met, the query result obtained by the data demand side is from different data suppliers due to polling, the data query range is expanded, and the diversity of data is enhanced, the coverage of data query of a data demander is increased, so that the data query request of the data demander can be satisfied as much as possible; and finally, sending the query result obtained when the query of each received data query request is completed to the data demand side to complete the data query.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a schematic flowchart of a data query method for multiple data sources according to an embodiment of the present invention.
Specifically, in this embodiment, the data query method may include the following steps:
step S101: receiving a plurality of data query requests of a data demand party;
step S102: sequentially responding to the plurality of data query requests, and when each data query request is responded, polling the plurality of data providers from a next data provider behind the end point of the last data query request until the query is completed, wherein the end point of the last data query request is the data provider of which the query of the last data query request is completed;
step S103: receiving query results obtained when the query of each data query request is completed;
step S104: and sending the query result to the data demand side.
More specifically, in step S101, respective data query requests are received from the data demanders, where each data query request may be used to query a single data attribute or may be used to query a plurality of different data attributes. The data attribute refers to a category of data information required by the data query request, for example, the data query request may indicate that the data demander desires to query gender information corresponding to an identity card number, and the data attribute is gender information. The data attribute may also be various categories of data information such as age, address, marital status, and the like. Alternatively, the data query request may be represented by a cell phone number, for example, a data attribute associated with the cell phone number is desired to be queried. When a data query request is used to query multiple data attributes, the data supplier may contain all data attributes (i.e., all data information required) or only part of the data attributes (i.e., part of data information required). At this time, if the existing single-point data transaction scheme is adopted, a high-probability event that all data attributes cannot be obtained will undoubtedly occur, and thus the data demand party cannot obtain all required data information.
In step S102, after receiving the data query request from the data demanding party, each data supplying party will sequentially respond to the data query requests. The query request may be for a single data attribute. That is, if the data attribute can be provided by the current data supplier, the data attribute is used as the query result of the data query request, and the query is successfully completed. And then, starting from the next data supplier behind the currently finished data supplier, carrying out data inquiry on the next data inquiry request, and polling all the data suppliers until the inquiry is finished.
As a non-limiting example, if the current data supplier cannot provide the data attribute, the data query may be continued for the data query request of the current uncompleted data query starting from the next data supplier after the current data supplier until the query is successful or the data query for all data suppliers is completed. Taking table 1 as an example, assuming that the data supplier includes data supplier B1, data supplier B2, data supplier B3, and data supplier B4, the data supplier may provide the gender information corresponding to the id. If the data demander a is to query the genders (data attributes are gender information) of 8643 x 490, 8612 x 490 and 8635 x 490, respectively, the data demander a may retrieve the required data by polling the data supplier B1, the data supplier B2, the data supplier B3, the data supplier B4. In the data query method, the polling procedure in step S102 may perform the query by adopting the following steps.
TABLE 1
| Data supplier | Identity label | Sex |
| Data supplier B1 | 8643******490 | For male |
| Data supplier B2 | 8612******490 | ？ |
| Data supplier B3 | 8612******490 | Woman |
| Data supplier B4 | 8635******490 | Woman |
Firstly, the data transaction platform sends a data query request including a query 8643 x 490 received from the data demander a to the data supplier B1 to query 8643 x 490 for the corresponding gender, and as can be seen from table 1, the data demander a can obtain the data (gender is male) required by the data query request from the data supplier B1, and the query is successful; then, the data transaction platform sends the next data query request received from the data demander a to the next data supplier, that is, sends the data query request of 8612 × 490 to the data supplier B2, so as to query the gender information corresponding to 8612 × 490, as can be seen from table 1, the data demander a cannot obtain the data required by the data query request from the data supplier B2, and the current data query fails;
the data transaction platform then sends the data query request of query 8612 x 490 to the next data supplier B3. Table 1 is a data list of data suppliers, and as can be seen from table 1, data supplier a can obtain data (gender is female) required by the data query request from data supplier B3, and the query is successful;
finally, the data trafficking platform sends the next data query request 8635 × 490 received from the data consumer a to the next data supplier B4, and as can be seen from table 1, the data consumer a can obtain the data (gender is female) required by the data query request from the data supplier B4. At this point, all the query requests of the data demander A are successfully completed.
Those skilled in the art will appreciate that in some cases, the data trafficking platform may poll all data suppliers for the same data query request in order to obtain as much data as possible that is needed by the data consumers.
In one non-limiting embodiment, referring to fig. 2, the step S102 may include the steps of:
step S1021: judging whether the plurality of data attributes can be provided or not from a next data supplier after the end point of the last data inquiry request;
step S1022: if the current data supplier can only provide a part of the plurality of data attributes, querying the next data supplier until the plurality of data attributes are all provided or the data query to all data suppliers is completed.
Specifically, after receiving the data query request of the data demander, the data supplier will sequentially respond to the data query requests. The data query request may be for querying a plurality of different data attributes. If the data query request is used for querying a plurality of different data attributes, firstly judging whether the data supplier can provide the plurality of different data attributes, if so, performing data query on the next data query request from the next data supplier behind the current data supplier, otherwise, if the current data supplier can only provide a part of the plurality of data attributes, querying the rest data attributes in the plurality of data attributes until all the attributes are completely provided or the data query on all the data suppliers is completed.
Table 2 is a data list of data providers, and for example, in table 2, assuming that the data providers include data provider B1, data provider B2, and data provider B3, some or all of the data information may be provided to identify the corresponding gender, age, and marital status. If the data supplier a is to query 8643 x 490, 8612 x 490 for gender, age, and marital status (data attributes include 3, gender, age, and marital status, respectively), the data supplier B1, the data supplier B2, and the data supplier B3 may be polled to obtain the required data. In the data query, the polling procedure of multiple data attributes may employ the following steps:
first, the data transaction platform sends a data query request (including gender, age, and marital status) including a query 8643 x 490 received from the data supplier a to the data supplier B1 to query the gender, age, and marital status corresponding to 8643 x 490, and as can be seen from table 2, the data supplier a can obtain data (gender, age, and marital status are married) required by the data query request from the data supplier B1;
then, the data transaction platform sends the next data query request received from the data supplier a to the next data supplier, i.e. sends the data query request (including gender, age, marital status) of 8612 x 490 to the data supplier B2 to query 8612 x 490 for the corresponding gender, age, marital status, and as can be seen from table 2, the data supplier a can only obtain partial data attributes (i.e. age 23) of the data query request from the data supplier B2;
finally, the data transaction platform sends the rest of the data attributes (gender and marital status) included in the data query request (8612 x 490) to the next data supplier B3, and as can be seen from table 2, the data requester a can obtain the data required by the data query request from the data supplier B3 (gender is female, marital status is marital), and thus, all the query requests of the data requester a are successfully completed.
Those skilled in the art will appreciate that in some cases, a data trafficking platform may traverse all data suppliers, polling each data supplier for all data attributes that the data demander desires to query.
Further, in step S103, the data transaction platform may receive data required by each data query request from the plurality of data suppliers, and send the received data as a query result to the data demander in a subsequent step.
Further, in step S104, the data transaction platform sends the query result to the data demander. The query result may be data successfully obtained by the data query request, or may be a result that required data is not obtained after the data query to the plurality of data suppliers is completed.
In practical applications, the data information amount of some data suppliers is large, and the data information amount of some data suppliers is small. When data query is performed, the probability that a data supplier with a large amount of data information can provide data may be far greater than that of a data supplier with a small amount of data information. In order to make the data supplier with small data information amount have an opportunity to provide data for the data demand side, the information transaction platform will preferentially poll the data supplier which cannot provide data in the polling process after traversing all the data suppliers, so as to increase the opportunity for providing data for the data supplier with small data information amount, and make each data supplier have an opportunity to participate in data transaction.
As can be seen from the data query process described above, the multi-data-source query method provided in the embodiment of the present invention enables the multiple data providers to have an opportunity to provide data queries to the data consumers, and on the other hand, can try to satisfy the data query requests of the data consumers due to the expansion of the data query range (traversing all the data providers).
TABLE 2
| Data supplier | Identity label | Sex | Age (age) | Marriage |
| Data supplier B1 | 8643******490 | For male | 30 | Wedding |
| Data supplier B2 | 8612******490 | ？ | 23 | ？ |
| Data supplier B3 | 8612******490 | Woman | ？ | Wedding |
The embodiment of the invention also provides a data query device of multiple data sources. Fig. 3 is a schematic structural diagram of a data querying device with multiple data sources according to an embodiment of the present invention. Referring to fig. 3, it is understood by those skilled in the art that the data query apparatus 3 according to the present embodiment may be used to implement the technical solution of the data query method according to the embodiment shown in fig. 1.
Specifically, in this embodiment, the data query device 3 may include a first receiving module 31, a polling module 32, a second receiving module 33, and a sending module 34.
Wherein, the first receiving module 31 is adapted to receive a plurality of data query requests of a data demander; the polling module 32 is adapted to respond to the plurality of data query requests in sequence, and when each data query request is responded, poll the plurality of data providers until the query is completed, starting from a next data provider after an end point of a previous data query request, where the end point of the previous data query request is the data provider for which the query of the previous data query request is completed; the second receiving module 33 is adapted to receive query results obtained when the query of each data query request is completed; the sending module 34 is adapted to send the query result to the data demander.
Further, each data query request may be used to query a single data attribute.
As a non-limiting example, the polling module 32 may include: the polling sub-module 321 is adapted to poll whether the plurality of data providers can provide the data attribute until the query is successful or the data query for all data providers is completed.
Further, the data attributes of different data query request queries may be the same or different.
Further, each data query request may be used to query a plurality of data attributes.
As a preferred variation, the polling module 32 may include a decision sub-module 322 and a query sub-module 323.
The determining sub-module 322 is adapted to determine whether the plurality of data attributes can be provided from a next data supplier after an end point of a previous data query request. The query submodule 323 is adapted to query a next data supplier if the current data supplier can only provide a part of the plurality of data attributes, until all of the plurality of data attributes are provided or data queries for all of the data suppliers are completed.
Further, the combination of the plurality of data attributes queried by different data query requests may be the same or different.
For more details of the working principle and the working mode of the data query apparatus 3, reference may be made to the foregoing description of the data query method in the embodiment shown in fig. 1, and details are not repeated here.
Further, the embodiment of the present invention also discloses a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the steps of the data query method according to the embodiment shown in fig. 1 are executed. Preferably, the storage medium may include a computer-readable storage medium. Preferably, the storage medium may include ROM, RAM, magnetic or optical disks, or the like.
Further, the embodiment of the present invention further discloses a terminal, which includes a memory and a processor, where the memory stores computer instructions capable of running on the processor, and the processor executes the steps of the data query method according to the embodiment shown in fig. 1 when running the computer instructions.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (16)
1. A data query method for multiple data sources is characterized by comprising the following steps:
receiving a plurality of data query requests of a data demand party;
sequentially responding to the plurality of data query requests, when each data query request is responded, polling the plurality of data providers until the query is completed from a next data provider behind the end point of the last data query request, wherein the end point of the last data query request is the data provider for which the query of the last data query request is completed;
receiving query results obtained when the query of each data query request is completed;
and sending the query result to the data demand side.
2. The query method of claim 1, wherein each data query request is for querying a single data attribute.
3. The method of claim 2, wherein polling the plurality of data providers until the query is complete comprises:
polling whether the plurality of data providers are capable of providing the data attribute until the query is successful or the data query to all data providers is completed.
4. The query method according to claim 2 or 3, wherein the data attributes of different data query requests are the same or different.
5. The query method of claim 1, wherein each data query request is for querying a plurality of data attributes.
6. The query method of claim 5, wherein polling the plurality of data providers until the query is complete comprises:
judging whether the plurality of data attributes can be provided or not from a next data supplier after the end point of the last data inquiry request;
if the current data supplier can only provide a part of the plurality of data attributes, querying the next data supplier until the plurality of data attributes are all provided or the data query to all data suppliers is completed.
7. The query method according to claim 5 or 6, wherein the combination of the plurality of data attributes of different data query request queries is the same or different.
8. A data query apparatus for multiple data sources, comprising:
the first receiving module is suitable for receiving a plurality of data query requests of a data demand party;
the polling module is suitable for responding to the plurality of data query requests in sequence, when each data query request is responded, the polling module polls the plurality of data providers until the query is completed from the next data provider behind the end point of the last data query request, the end point of the last data query request is the data provider for which the query of the last data query request is completed, if the query of the data provider is successful, the polling module continuously queries the next data query request from the next data provider, otherwise, the polling module continuously queries the current data query request from the next data provider;
the second receiving module is suitable for receiving the query result obtained when the query of each data query request is completed;
and the sending module is suitable for sending the query result to the data demander.
9. The query device of claim 8, wherein each data query request is for querying a single data attribute.
10. The query device of claim 9, wherein the polling module comprises:
and the polling submodule is suitable for polling whether the plurality of data suppliers can provide the data attributes until the inquiry is successful or the data inquiry of all the data suppliers is completed.
11. The query device according to claim 9 or 10, wherein the data attributes of different data query requests are the same or different.
12. The query device of claim 8, wherein each data query request is for querying a plurality of data attributes.
13. The query device of claim 12, wherein the polling module comprises:
a judging sub-module adapted to judge whether the plurality of data attributes can be provided or not, starting from a next data supplier after an end point of a previous data query request;
a query submodule, adapted to query a next data supplier if the current data supplier can only provide a portion of the plurality of data attributes, until all of the plurality of data attributes are provided or a data query to all of the data suppliers is completed.
14. The query device according to claim 12 or 13, wherein the combination of the plurality of data attributes of different data query requests is the same or different.
15. A storage medium having stored thereon computer instructions which, when executed, perform the steps of the method of querying of any one of claims 1 to 7.
16. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the query method of any one of claims 1 to 7.
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| US20140280230A1 (en) * | 2013-03-13 | 2014-09-18 | Qualcomm Incorporated | Hierarchical orchestration of data providers for the retrieval of point of interest metadata |
| CN105243169B (en) * | 2015-11-12 | 2019-01-29 | 中国建设银行股份有限公司 | A kind of data query method and system |
| CN106407244A (en) * | 2016-06-21 | 2017-02-15 | 平安科技（深圳）有限公司 | Multi-database-based data query method, system and apparatus |
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