CN111931033A - Retrieval method, retrieval device and server - Google Patents

Abstract

The application discloses a retrieval method, a retrieval device, a server and a computer readable storage medium. The retrieval method comprises the following steps: when an agent cluster of a server receives a retrieval request, filling contents to be retrieved carried by the retrieval request into a target retrieval function, wherein the agent cluster comprises at least one agent node; the agent cluster issues the filled target retrieval function to a retrieval cluster of the server, wherein the retrieval cluster comprises at least one retrieval node; and the retrieval cluster executes the filled target retrieval function to obtain a retrieval result. Through this application scheme, can promote retrieval efficiency to a certain extent.

Description

A retrieval method, retrieval device and server

technical field

The present application belongs to the technical field of information processing, and in particular, relates to a retrieval method, a retrieval device, a server, and a computer-readable storage medium.

Background technique

The current mainstream online retrieval calculation is often that the upper-layer service uses a socket (Socket) to initiate a request to the node of the downstream server and obtain data, and then performs the calculation in the current upper-layer service to obtain the final result. That is to say, the current online retrieval calculation is mainly completed by the upper-layer service, and data needs to be uploaded to the upper-layer service, which imposes a heavy burden on the network input/output (IO) and the central processing unit (CPU). , resulting in lower retrieval efficiency.

SUMMARY OF THE INVENTION

The present application provides a retrieval method, a retrieval device, a server and a computer-readable storage medium, which can improve retrieval efficiency to a certain extent.

In a first aspect, the present application provides a retrieval method, applied to a server, including:

When the proxy cluster of the server receives the retrieval request, it fills the content to be retrieved carried by the retrieval request into the target retrieval function, wherein the proxy cluster (Proxy Cluster, PC) includes at least one proxy node (Proxy Node, PN);

The above-mentioned proxy cluster delivers the filled above-mentioned target search function to a search cluster (Search Cluster, SC) of the above-mentioned server, wherein the above-mentioned search cluster includes at least one search node (Search Node, SN);

The retrieval cluster executes the filled target retrieval function to obtain retrieval results.

In a second aspect, the present application provides a retrieval device, applied to a server, including:

The filling unit is used to fill the content to be retrieved carried by the retrieval request into the target retrieval function when the proxy cluster of the server receives the retrieval request, wherein the proxy cluster includes at least one proxy node, and the target retrieval function adopts the class SQL grammar;

a delivery unit, used by the agent cluster to deliver the filled target retrieval function to the retrieval cluster of the server, wherein the retrieval cluster includes at least one retrieval node;

The retrieval unit is used for the retrieval cluster to execute the filled target retrieval function to obtain retrieval results.

In a third aspect, the present application provides a server. The server includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the above-mentioned first The steps of the method of the aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, implements the steps of the method in the first aspect.

In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a computer program, and when the computer program is executed by one or more processors, the steps of the method of the first aspect are implemented.

Compared with the prior art, the beneficial effect of the present application is that: when the server processes the retrieval request of the user, it no longer performs the real retrieval operation based on the retrieval request at the upper node (that is, the proxy cluster), but fills the information according to the retrieval request. After the target retrieval function is obtained, the target retrieval function is sent to the lower node (that is, the retrieval cluster). The burden of network IO and CPU improves retrieval efficiency to a certain extent. It can be understood that, for the beneficial effects of the second aspect to the fifth aspect, reference may be made to the relevant description in the first aspect, which is not repeated here.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present application. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic flowchart of a retrieval method provided by an embodiment of the present application;

2 is a schematic diagram of the architecture of a server provided by an embodiment of the present application;

3 is a schematic diagram of a retrieval node in an initialization phase provided by an embodiment of the present application;

4 is a schematic structural diagram of a retrieval apparatus provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a server provided by an embodiment of the present application.

Detailed ways

In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

In order to illustrate the technical solutions proposed in the present application, the following specific embodiments are used for description.

Please refer to FIG. 1. FIG. 1 shows a retrieval method provided by an embodiment of the present application, and the details are as follows:

Step 101, when the proxy cluster of the server receives the retrieval request, fills the content to be retrieved carried by the retrieval request into the target retrieval function;

In the embodiment of the present application, the server is preconfigured with at least one proxy cluster, wherein each proxy cluster includes at least one proxy node. The retrieval request initiated by the user through the terminal used by the user will be sent to the upper node of the server, that is, the proxy cluster, specifically to an proxy node in the proxy cluster.

When the proxy cluster receives the retrieval request initiated by the user, it can determine the target retrieval function from the retrieved multiple retrieval functions, and the target retrieval function refers to the retrieval function matching the retrieval request; that is, A retrieval function capable of processing the retrieval request is determined as the target retrieval function. Exemplarily, when the proxy cluster receives the retrieval request, it first determines the service type to which the retrieval request belongs, and then the proxy cluster can determine the retrieval function associated with the service type as the target retrieval function. It should be noted that all retrieval functions are User Defined Functions (UDFs), and these retrieval functions use Structured Query Language (SQL) syntax to resolve the constraints between upper-level nodes and lower-level nodes normative issues.

After the target retrieval function is determined, the proxy cluster will extract the content to be retrieved from the retrieval request, and fill the content to be retrieved into the determined target retrieval function; that is, the content to be retrieved is used as the input of the target retrieval function parameter.

For example, the populated target retrieval function can be:

SELECT name,distance(lat,lon)FROM tourism_index WHERE price>=500andlbs(lat,lon)<10000ORDER BY distance(lat,lon)

Among them, price>=500 and lbs(lat, lon)<10000 are filled contents to be retrieved. The meaning expressed by the above filled target retrieval function is: in the tourism_index index library, find out the names and actual distances of hotels whose prices are greater than 500 yuan and within 10 kilometers of the user, and sort them according to the actual distance from near to far.

In some embodiments, different sorting strategies may be required for consideration of different application scenarios, such as sug page search and result page search. Based on this, the server can syntactically use ORDER BY different sorting operators to meet the requirements of related services. For example, in the example of the target retrieval function given above, ORDER BYdistance(lat, lon) is used to sort according to the actual distance from near to far.

Step 102, the above-mentioned proxy cluster sends the filled above-mentioned target retrieval function to the retrieval cluster of the above-mentioned server;

In the embodiment of the present application, at least one retrieval cluster is also preconfigured in the server, wherein each retrieval cluster includes at least one retrieval node. The proxy cluster can deliver the filled target retrieval function to the lower node of the server, that is, the retrieval cluster, specifically to at least one retrieval node in the retrieval cluster.

Step 103, the retrieval cluster executes the filled target retrieval function to obtain retrieval results.

In the embodiment of the present application, after receiving the filled target retrieval function, the retrieval node in the retrieval cluster can execute the filled target retrieval function. For example, the filled retrieval function is SELECT name,distance(lat,lon)FROM tourism_index WHERE price>=500and lbs(lat,lon)<10000ORDER BY distance(lat,lon), and the specific retrieval operation is price> =500 and lbs(lat,lon)<10000, the retrieval operation is performed in the retrieval cluster to obtain retrieval results.

In some embodiments, considering that the results obtained by the retrieval cluster by executing the filled target retrieval function may be repeated, the above step 103 may be embodied as: one or more retrieval nodes in the retrieval cluster execute the filled target retrieval function to obtain at least one execution result; then the retrieval cluster can send the execution results obtained according to the filled target retrieval function to the proxy cluster, and then the proxy cluster merges these execution results. The result is the final search result. The retrieval cluster can send the final retrieval result to the terminal used by the user for the user to consult.

In some embodiments, the server can also interact with a preset registration server RegServer. The registration server is generally lightweight and can be deployed on a docker container or a low-profile physical machine. Please refer to FIG. 2. FIG. 2 shows an architectural schematic diagram of a server in an embodiment of the present application. Due to space limitations, only one proxy cluster and one retrieval cluster are shown in FIG. 2; in practical applications, the number of proxy clusters and retrieval clusters is not limited, nor is the number of proxy nodes included in the proxy cluster, and the number of proxy nodes included in the retrieval cluster. The number of retrieval nodes is limited. The registration server is mainly used to retrieve the registration of each retrieval node in the cluster, so that the proxy cluster can discover the retrieval node in time.

For each retrieval node in the retrieval cluster, C++ is used for implementation due to high concurrency. The registration operation of the retrieval node is performed in the initialization phase, specifically: registering at least one retrieval function configured on the retrieval node and the node information of the retrieval node to the registration server. Wherein, the node information includes but is not limited to the following: the IP address of the retrieval node, flow control information and/or registration time, wherein the flow control information refers to the processing traffic that the retrieval node can carry, in units of QPS (Queries- per-second). In this way, after the registration of each retrieval node is completed, the proxy cluster can read the node information of each currently registered retrieval node and the retrieval function configured by each retrieval node through the registration server.

In some embodiments, in the initialization stage of the retrieval node, in addition to the registration operation, there are other operations, which are explained below: Please refer to FIG. 3 , the retrieval node can be configured with the following units: a file acquisition unit, a function acquisition unit unit, function loading unit, node registration unit. The file obtaining unit is a trigger, and the retrieval node can obtain the configured retrieval functions from the preset configuration server through the file obtaining unit. The expression of these retrieval functions is a file, that is, obtained from the configuration server. Retrieve function files. It should be noted that the retrieval functions of all services may be configured in the same retrieval function file, or each service may be associated with a retrieval function file, that is, retrieval functions belonging to the same service are configured in a retrieval function file. , and different services correspond to different retrieval function files, which are not limited here. Subsequently, the retrieval node can execute the dlopen function through the function acquisition unit, to eliminate the problem of dependency library conflict, and to open the obtained retrieval function file, so as to actually obtain at least one retrieval function. Next, the retrieval node can load the obtained at least one retrieval function through the function loading unit to form an object method of the UDF, which can be executed by the service calculation, so as to realize the configuration of the retrieval function of the retrieval node. In order to make the upper-layer proxy cluster also know the situation of the retrieval node, the retrieval node will finally register in the registration server through the node registration unit for each proxy node in the proxy cluster to call. The retrieval node is based on the above structure, and the dynamic library can be updated hotly through the double-buffer hot loading mechanism without restarting the retrieval node.

In some embodiments, the proxy cluster may also obtain a configured delivery policy from a preset configuration center, and step 102 may be embodied as: the proxy cluster first passes the delivery policy configured by the preset configuration center, Determine the target retrieval node, wherein the embodiment of the present application does not limit the number of target retrieval nodes; then the proxy cluster can deliver the populated target retrieval function to the target retrieval node. Generally speaking, the configuration center can solidify its delivery strategy, that is, the delivery strategy will not change frequently. Just as an example, the delivery strategy may be a polling strategy or a consistent hashing strategy, etc., which is not limited here. It should be noted that, under normal circumstances, even if the proxy cluster determines that there are currently idle retrieval nodes, it will not directly issue the filled target retrieval function to the idle retrieval nodes. On the other hand, the distribution strategy adopted by the server is usually an even distribution. Although the processing time may occasionally be long, the overall processing efficiency will not be affected under multi-core CPU processing.

In some embodiments, considering that there may be insufficient recall in the retrieval process, the server may also rewrite the content to be retrieved input by the user when the recall is insufficient, so as to improve retrieval efficiency and directly improve user experience. For example, suppose that according to the retrieval request initiated by the user, what the user wants to retrieve is "Andy Lau's Ice Rain", then the server can rewrite and generate three waiting lists of "Andy Lau and Bing Yu", "Bing Yu" and "Andy Lau" based on this. Retrieve content. Assume that the confidence level based on "Andy Lau and Bing Yu" is 0.99, the confidence level based on "Ice Rain" is 0.8, and the confidence level based on "Andy Lau" is 0.6; The retrieval cluster issues the corresponding target retrieval sentence for retrieval. When there are few recalls, the retrieval cluster issues the corresponding target retrieval sentence for retrieval based on "Bing Yu", and so on. The above process is accompanied by network requests, and has the logic of unpacking and grouping, which affects performance. However, in the embodiment of the present application, the server generates a rewritten statement. It can be understood that the server lists all possible retrieval items in an arrangement and combination based on the retrieval request, obtains at least one content to be retrieved, and generates at least one content to be retrieved based on the at least one content to be retrieved. Rewrite the statement. For example only, the rephrased statement could be: Confidence((query1 and query2)*score1,query2*score2,query3*score3). The rewritten statement can then be spliced with the target retrieval function, and the agent cluster sends the spliced target retrieval statement to the retrieval cluster. By rewriting the statement, frequent interactions between the proxy cluster and the retrieval cluster can be eliminated.

It can be seen from the above that in this embodiment of the present application, when processing a user's retrieval request, the server no longer performs a real retrieval operation based on the retrieval request at the upper node (that is, the proxy cluster), but fills in the target retrieval operation according to the retrieval request. After the function, the target retrieval function is sent to the lower node (that is, the retrieval cluster), and the lower node performs the real retrieval operation according to the filled target retrieval function, so that the calculation sinks to the lower node, which reduces the need for network IO and The burden on the CPU improves the retrieval efficiency to a certain extent.

Corresponding to the retrieval method proposed above, an embodiment of the present application provides a retrieval device, and the retrieval device is integrated into a server. Referring to FIG. 4 , the retrieval apparatus 400 in the embodiment of the present application includes:

Filling unit 401, configured to fill the to-be-retrieved content carried in the retrieval request into the target retrieval function when the proxy cluster of the server receives the retrieval request, wherein the proxy cluster includes at least one proxy node;

Distributing unit 402, configured for the proxy cluster to distribute the filled target retrieval function to the retrieval cluster of the server, wherein the retrieval cluster includes at least one retrieval node;

The retrieval unit 403 is used for the retrieval cluster to execute the filled target retrieval function to obtain retrieval results.

Optionally, the above-mentioned filling unit 401 includes:

a type judgment subunit, used for judging the service type to which the above-mentioned retrieval request belongs when the above-mentioned proxy cluster receives the retrieval request;

a function determination subunit, used for the above-mentioned proxy cluster to determine the retrieval function associated with the above-mentioned business type as the above-mentioned target retrieval function;

The function filling subunit is used for the above-mentioned proxy cluster to fill the above-mentioned target retrieval function with the content to be retrieved carried in the above-mentioned retrieval request.

Optionally, the above-mentioned issuing unit 402 includes:

The node determination subunit is used for the above-mentioned proxy cluster to determine the target retrieval node through the distribution strategy configured in the preset configuration center;

The function delivery subunit is used for the agent cluster to deliver the filled target retrieval function to the target retrieval node.

Optionally, the above-mentioned retrieval unit 403 includes:

The result acquisition subunit is used for the above-mentioned target retrieval function after the above-mentioned retrieval cluster executes the filling to obtain at least one execution result;

a result sending subunit, used for the above-mentioned retrieval cluster to send the above-mentioned at least one execution result to the above-mentioned proxy cluster;

The result merging subunit is used for the agent cluster to perform merging processing on the at least one execution result to obtain the retrieval result.

Optionally, each retrieval node of the retrieval apparatus 400 includes:

The node registration unit is configured to register at least one retrieval function configured by the retrieval node and the node information of the retrieval node to a preset registration server.

Optionally, each retrieval node of the retrieval apparatus 400 further includes:

The file obtaining unit is used to obtain the configured retrieval function file from the preset configuration server;

a function acquisition unit, used to open the above retrieval function file to obtain at least one retrieval function;

A function loading unit, configured to load the at least one retrieval function, so as to realize the configuration of the retrieval function of the retrieval node.

It can be seen from the above that, through the embodiment of the present application, when the retrieval device processes the retrieval request of the user, it no longer performs a real retrieval operation based on the retrieval request at the upper node (that is, the proxy cluster), but fills the target retrieval operation according to the retrieval request. After the function, the target retrieval function is sent to the lower node (that is, the retrieval cluster), and the lower node performs the real retrieval operation according to the filled target retrieval function, so that the calculation sinks to the lower node, which reduces the need for network IO and The burden on the CPU improves the retrieval efficiency to a certain extent.

This embodiment of the present application further provides a server, please refer to FIG. 5 , the server 5 in this embodiment of the present application includes: a memory 501 , one or more processors 502 (only one is shown in FIG. A computer program that is executable on a processor. The memory 501 is used to store software programs and units, and the processor 502 executes various functional applications and data processing by running the software programs and units stored in the memory 501 to obtain resources corresponding to the above preset events. Specifically, the processor 502 implements the following steps by running the above-mentioned computer program stored in the memory 501:

When the proxy cluster of the server receives the retrieval request, it fills the content to be retrieved carried by the retrieval request into the target retrieval function, wherein the proxy cluster includes at least one proxy node;

The above-mentioned proxy cluster sends the filled above-mentioned target retrieval function to the retrieval cluster of the above-mentioned server, wherein the above-mentioned retrieval cluster includes at least one retrieval node;

The retrieval cluster executes the filled target retrieval function to obtain retrieval results.

Assuming that the above is the first possible implementation manner, in the second possible implementation manner provided on the basis of the first possible implementation manner, when the above-mentioned retrieval request is received by the proxy cluster of the server, the above-mentioned retrieval request is The carried content to be retrieved is filled into the target retrieval function, including:

When the above-mentioned proxy cluster receives the retrieval request, determine the business type to which the above-mentioned retrieval request belongs;

The above-mentioned proxy cluster determines the retrieval function associated with the above-mentioned business type as the above-mentioned target retrieval function;

The above-mentioned proxy cluster fills the to-be-retrieved content carried in the above-mentioned retrieval request into the above-mentioned target retrieval function.

In the third possible implementation manner provided on the basis of the first possible implementation manner, the proxy cluster delivers the filled target retrieval function to the retrieval cluster of the server, including:

The above-mentioned proxy cluster determines the target retrieval node through the delivery strategy configured in the preset configuration center;

The above-mentioned proxy cluster sends the filled above-mentioned target retrieval function to the above-mentioned target retrieval node.

In a fourth possible implementation manner provided on the basis of the above-mentioned first possible implementation manner, the above-mentioned retrieval cluster executes the above-mentioned filled target retrieval function to obtain a retrieval result, including:

The above-mentioned retrieval cluster executes the filled above-mentioned target retrieval function to obtain at least one execution result;

The above-mentioned retrieval cluster sends the above-mentioned at least one execution result to the above-mentioned proxy cluster;

The above-mentioned proxy cluster performs merging processing on the above-mentioned at least one execution result to obtain the above-mentioned retrieval result.

Based on the above first possible implementation manner, or the above second possible implementation manner as a basis, or the above third possible implementation manner as a basis, or the above fourth possible implementation manner as a basis In a fifth possible implementation manner, before the proxy cluster of the server receives the retrieval request, for each retrieval node in the retrieval cluster, the processor 502 further implements the following steps by running the computer program stored in the memory 501:

At least one retrieval function configured by the retrieval node and the node information of the retrieval node are registered to a preset registration server.

In the sixth possible implementation manner provided on the basis of the above-mentioned fifth possible implementation manner, for each retrieval node in the above-mentioned retrieval cluster, the processor 502 also implements the above-mentioned computer program stored in the memory 501 by running the above-mentioned computer program. The following steps:

The above retrieval node obtains the configured retrieval function file from the preset configuration server;

The retrieval node opens the retrieval function file to obtain at least one retrieval function;

The retrieval node loads the at least one retrieval function, so as to realize the configuration of the retrieval function of the retrieval node.

It should be understood that, in this embodiment of the present application, the so-called processor 502 may be a CPU, and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

Memory 501 may include read-only memory and random access memory, and provides instructions and data to processor 502 . Part or all of memory 501 may also include non-volatile random access memory. For example, the memory 501 may also store information of device categories.

As can be seen from the above, through the embodiment of the present application, when processing the retrieval request of the user, the server no longer performs a real retrieval operation based on the retrieval request at the upper node (that is, the proxy cluster), but fills the target retrieval function according to the retrieval request. After that, the target retrieval function is sent to the lower node (that is, the retrieval cluster), and the lower node performs the real retrieval operation according to the filled target retrieval function, so that the calculation sinks to the lower node, which reduces the need for network IO and CPU. To a certain extent, the retrieval efficiency is improved.

Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. Module completion, that is, dividing the internal structure of the above device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in one processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit, and the above-mentioned integrated units may adopt hardware. It can also be realized in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present application. For the specific working processes of the units and modules in the above-mentioned system, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the foregoing embodiments, the description of each embodiment has its own emphasis. For parts that are not described or described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of external device software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

In the embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the system embodiments described above are only illustrative. For example, the division of the above-mentioned modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined. Either it can be integrated into another system, or some features can be omitted, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described above as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

If the above-mentioned integrated units are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing the associated hardware through a computer program, and the above computer program can be stored in a computer-readable storage medium, the computer When the program is executed by the processor, the steps of the foregoing method embodiments can be implemented. Wherein, the above-mentioned computer program includes computer program code, and the above-mentioned computer program code may be in the form of source code, object code form, executable file or some intermediate form. The above-mentioned computer-readable storage medium may include: any entity or device capable of carrying the above-mentioned computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer-readable memory, a 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 content contained in the above-mentioned computer-readable storage media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, computer-readable storage Excluded from the medium are electrical carrier signals and telecommunication signals.

The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The recorded technical solutions are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application, and should be included in the application. within the scope of protection.

Claims (10)

1. A retrieval method is applied to a server and comprises the following steps:

when an agent cluster of a server receives a retrieval request, filling contents to be retrieved carried by the retrieval request into a target retrieval function, wherein the agent cluster comprises at least one agent node;

the agent cluster issues the filled target retrieval function to a retrieval cluster of the server, wherein the retrieval cluster comprises at least one retrieval node;

and the retrieval cluster executes the filled target retrieval function to obtain a retrieval result.

2. The retrieval method of claim 1, wherein when the proxy cluster of the server receives a retrieval request, populating a target retrieval function with content to be retrieved carried by the retrieval request, comprises:

when the agent cluster receives a retrieval request, judging the service type of the retrieval request;

the agent cluster determines a retrieval function associated with the service type as the target retrieval function;

and the proxy cluster fills the content to be retrieved carried by the retrieval request into the target retrieval function.

3. The retrieval method of claim 1, wherein the sending the populated target retrieval function to the retrieval cluster of the server by the proxy cluster comprises:

the agent cluster determines a target retrieval node through an issuing strategy configured in a preset configuration center;

and the agent cluster issues the filled target retrieval function to the target retrieval node.

4. The retrieval method of claim 1, wherein the retrieval cluster executing the populated target retrieval function to obtain a retrieval result comprises:

the retrieval cluster executes the filled target retrieval function to obtain at least one execution result;

the retrieval cluster sends the at least one execution result to the agent cluster;

and the agent cluster carries out merging processing on the at least one execution result to obtain the retrieval result.

5. The retrieval method of any one of claims 1 to 4, wherein, prior to the proxy cluster of servers receiving the retrieval request, for each retrieval node in the retrieval cluster, the retrieval method further comprises:

and registering at least one retrieval function configured by the retrieval node and the node information of the retrieval node to a preset registration server.

6. The retrieval method of claim 5, wherein for each retrieval node in the retrieval cluster, the retrieval method further comprises:

the retrieval node acquires a configured retrieval function file from a preset configuration server;

the retrieval node opens the retrieval function file to obtain at least one retrieval function;

and the retrieval node loads the at least one retrieval function to realize the configuration of the retrieval function of the retrieval node.

7. A retrieval apparatus, applied to a server, comprising:

the device comprises a filling unit, a searching unit and a searching unit, wherein the filling unit is used for filling contents to be searched carried by a searching request to a target searching function when the agent cluster of a server receives the searching request, and the agent cluster comprises at least one agent node;

the issuing unit is used for the agent cluster to issue the filled target retrieval function to a retrieval cluster of the server, wherein the retrieval cluster comprises at least one retrieval node;

and the retrieval unit is used for executing the filled target retrieval function by the retrieval cluster to obtain a retrieval result.

8. The retrieval device of claim 7, wherein the filler unit comprises:

the type judging subunit is used for judging the service type of the retrieval request when the agent cluster receives the retrieval request;

a function determining subunit, configured to determine, by the proxy cluster, a retrieval function associated with the service type as the target retrieval function;

and the function filling subunit is used for filling the content to be retrieved carried by the retrieval request to the target retrieval function by the proxy cluster.

9. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.

Images