CN109101652B - Label creating and managing system - Google Patents
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Abstract
The invention has recorded a label and established and management system, the system adopts and is formed by model label layer, business label layer and combination label layer three-layer framework sequentially, and the system includes: the management module consists of a model management module, a label quality control module, a comprehensive management module and a combined label module; and the label scheduling module, the label generating module and the label inquiring module. Due to the adoption of the technical scheme, the invention has the beneficial effects of saving the label creating time, improving the label creating efficiency, increasing the label combining mode, increasing the intersection difference set function, expanding the number of created combined labels under the condition of unchanged number of basic labels and the like by adopting the three-layer architecture and the modules.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a label creating and managing system which can save label creating time, improve label creating efficiency and increase a combination mode among labels.
Background
With the rapid development of the internet and related industries, information technology has now entered the big data era. Big data (big data), which refers to a data set that cannot be captured, managed and processed by a conventional software tool within a certain time range, is a massive, high-growth-rate and diversified information asset that needs a new processing mode to have stronger decision-making power, insight discovery power and process optimization capability.
Meanwhile, with the high-speed expansion of business scale of enterprises, the growth of data is also expanded exponentially, so that business data, behavior data, statistical data, industry data, cooperation data, captured data and other increments are rapid. Data quickly goes from TB to PB. Since the real user attributes, the asset conditions, the financial information and other data have extremely high gold content, how to mine valuable business information by using the big data technology is accompanied with the discussion and innovation of big data application, and a user image system based on a user label system is produced.
At present, common schemes in the industry such as alliance and talkingdata pay more attention to user analysis, and are not strong in the sense of heavy load on label management and seriously lack in functions; foreign Countly and domestic Cobub add tags through external channels in a mode of calling API when the APP side sends logs, then bring the tags into a statistical system, focus on tag data collection, but cannot relate to tag management, tag quality control and tag combination. Meanwhile, other technical schemes in the industry pay too much attention to service expansion, label management is not systematic, a pile of labels is often required, label creation efficiency is low, the labels are greedy to be solved, and quality monitoring on individual labels is incomplete.
In addition, a label is created in a label library in the industry, a business party initiates a demand and a product provides a demand page, a business service layer is developed by a front end and a server together, an intermediate result has a storage layer, and an additional field is determined by the service layer and a data warehouse through a protocol layer and can be used after development is online. Tag iterations are cumulatively used in a small step sprint, resulting in the following serious drawbacks:
1. because the creation of the label requires the collaborative development of front end, business research and development and data research and development, and the intermediate storage layer also needs to store once, the label creation efficiency is low;
2. the wide table of the database only supports limited intersection query and does not support complex combination conditions such as union set, difference set and the like. The wide table is a database table with more fields in a literal sense, generally refers to a database table with indexes, dimensions and attributes related to business topics associated together, is widely applied to data preparation before data mining model training, and can greatly improve the efficiency of iterative computation in the data mining model training process by placing related fields in the same table.
Disclosure of Invention
In order to solve the above problems, the present invention provides a tag creation and management system that employs an ElasticSearch as a broad table core. The ElasticSearch is a Lucene-based search server, and provides a RESTful web interface-based distributed multi-user full-text search engine. The ElasticSearch was developed in Java and released as open source code under the Apache licensing terms, and is currently a popular enterprise-level search engine. The design is used in cloud computing, and the effects of real-time searching, stability, reliability, rapidness, convenience in installation and use and the like can be achieved. Thus, by utilizing the index storage of the ElasticSearch, the problems of expansion limitation of the relational database and query performance are avoided. Meanwhile, because the elastic search is adopted as the broad-table core, the invention has the following functions and beneficial effects:
(1) the ElasticSearch is used for inquiring and updating, so that the beneficial effect of supporting complex calculation is realized on the basis of higher performance;
(2) the service tag can be generated by directly configuring the ElasticSearch script, so that the tag creation time is saved, and the beneficial effect of improving the tag creation efficiency is achieved;
(3) by using logic expressions such as must, short, must not and the like of the pool filter of the elastic search, logic functions such as intersection, union, difference and the like among a plurality of labels can be developed, and the function of combining labels is further expanded.
In addition, the invention creatively provides a 3-layer structure which is formed by dividing the label into a model label layer, a business label layer and a combined label layer, and the action of acquiring the basic data from the outside is only controlled in the model label layer. And the model label is created by configuring the HQL, so that the mode that the front end, the business research and development, the data research and development cooperation development and the intermediate storage layer are required to be stored once in the prior art is replaced, and the label creation efficiency is greatly improved. Use a certain APP as an example, the efficiency that label was established to original scheme is 3 people's day, this scheme only need the configuration can, need not to develop, alone establish the label one day and reach 30 more, efficiency promotes 90 times.
The label creating and managing system is a three-layer architecture, wherein the three-layer architecture is a model label layer, a service label layer and a combined label layer in sequence, and the system comprises:
the management module is used for providing visual label configuration, checking label quality control in real time, managing label tasks and generating tasks, and also providing addition, deletion, modification, creation and default preview of labels and combined labels;
the label scheduling module is used for checking and managing the labels configured in the management module through a timing task and certain configuration, analyzing the configuration information of the labels, providing tasks meeting requirements, updating the names of the wide tables after the labels are generated, replacing the old tables according to the newly generated wide tables and providing external services;
the label generating module is used for generating a wide table with all fields being default values according to the information transmitted by the label scheduling module;
and the label inquiry module is used for inquiring the label in real time and comprises an available label interface, a user label interface, a label data interface and a label state interface.
In the system, the management module comprises a model management module, a label quality control module, a comprehensive management module and a combined label module.
In the system, the model management module is used for extracting key fields from data of the data warehouse according to different purposes, taking the key fields as basic data labels, and forming a model wide table of user dimensions from the labels extracted by a plurality of models.
In the system, the label management module is used for generating a client label according to the basic data label in the model management module.
In the system, the label quality control module is used for displaying the client label in a graphical mode.
In the system, the comprehensive management module is used for managing the label classification user information and displaying the category and the relationship of the label.
In the above system, the combined label module is configured to generate a combined label through an intersection, union, and difference set function of a plurality of labels.
In the system, the model label layer generates the label for the first time according to the basic attribute of the user.
In the system, the service label layer performs service processing on the basic attribute in the model label layer, and performs second generation of the label.
In the system, the combined label layer generates the labels for the third time by combining, merging and difference set composition using modes for a plurality of labels according to the service scene.
In the above system, the basic attributes of the user in the model label layer include gender and age.
In the above system, the visual tag configuration in the management module includes a tag name, a tag category, a tag default value, a tag type, a tag update time, and a tag generation rule.
In the system, the management module creates the combined label by dragging and pulling.
In the system, the label scheduling module performs verification management on the labels configured in the management module through configuration of daily timing, weekly timing and monthly timing.
In the above system, the tags configured in the management module include a model tag, a service tag, and a combination tag.
In the above system, the configuration information of the tag analyzed by the tag scheduling module includes a default value, an initial value, a tag type, and a tag category.
The invention has the advantages and beneficial effects that:
1. the label creating time is saved, and the label creating efficiency is improved. The technical scheme of the invention does not need to be developed in the process of creating the label, and can be completed only by configuration. Taking a certain APP as an example, the traditional scheme requires 3 people for creating the label on average, and can be used before the label is subjected to development, testing and scheduling, but the technical scheme of the invention requires only 1 person for creating the label on average, does not need development and testing, and can be automatically validated and used after data is updated every day.
2. The combination mode among the labels is increased. And the functions of intersection, union and difference set are added, and the number of the created combined labels is expanded by 3N times under the condition that the number of the basic labels is not changed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a system block diagram of a tag creation and management system of an embodiment of the present invention;
FIG. 2 is a block diagram of a hierarchical architecture of a tag creation and management system of an embodiment of the present invention;
FIG. 3 is a schematic flow diagram of a label scheduling module in a label creation and management system according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of a tag generation module in the tag creation and management system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, the present invention describes a label creation and management system, which adopts a three-layer architecture sequentially composed of a model label layer, a service label layer, and a combination label layer, and includes:
1. management module
The module provides visual label configuration, including label name, label category, label default value, label type, label update time, label generation sql rule, etc. Meanwhile, the quality control of the labels can be checked in real time, the label tasks can be managed, the tasks (jobs) can be generated, the functions of adding, deleting, modifying and checking the labels and the tasks are provided, the function of creating the combined labels in a dragging and pulling mode is provided, and the function of creating the default preview of the combined labels is provided.
As a preferred solution, the management module in this embodiment includes a model management module, a tag quality control module, an integrated management module, and a combined tag module. Wherein:
1.1 model management Module
The module extracts some key fields as a series of basic data labels from data of a data warehouse (hive, impala) according to different service purposes, and then a series of labels extracted by a plurality of models form a user-dimensional model wide table.
The model is a series of tagged queries sql required for a particular scenario, all of which need to contain a user id (uid) field. All models need to be aggregated into a unified broad table. Model name is required to be input for establishing the model, the model name is used as a unique name of the label, and repetition is not allowed. The method comprises the steps of inputting a model title, a model description, a data source (impala, hive), a model attribute (an attribute name ^ type ^ default value | an attribute name ^ type ^ default value), an attribute check rule and an execution sql script.
After the model is established, the name of the model is required to be checked not to be repeated, a table building statement is generated, whether a client is the only main key is judged according to the table building statement, if so, the client is allowed to be added into a unified wide table, a job function is selected to be generated, and data of the model is added into the wide table to serve as a basic model label when the wide table is generated by a timed task.
1.2 tag management Module
The label management module is different from the model management module in that: the basic data label of the model management module is only responsible for inquiring specific data values from the data warehouse, and the label management module generates a real client label according to the basic data label. The label management module mainly has the following two purposes:
(1) the tag attributes of the basic data are enriched, and tag management related information is added. Including label creation, deletion, editing, enabling, label quality monitoring, etc.
(2) Adding a logical process of simple service requirement. According to the service requirement, a logic processing is required to be carried out on the data value once to generate a new service label.
1.3 Label quality control Module
The module graphically displays the update state, data date, update time, related data quantity and 'null value or abnormal value quantity' of the client label, and whether the label is available or not and whether the label is the latest label or not can be known through verification of the dimensions.
1.4 Integrated management Module
The module mainly needs to manage the label classification user information, clearly shows the category and the relation of the label in a tree form, and is convenient for users to use.
1.5 Combined Label Module
The module generates combined labels through the intersection, combination and difference set functions of a plurality of labels so as to adapt to ever-changing business requirements. For example, in practical use, it is often necessary to combine or reject tags of an original customer group according to business requirements, and then generate a new combined tag through further processing and analysis.
2. Label scheduling module
As shown in FIG. 3, the module is responsible for screening and parsing out satisfactory data from external data sources, and updates once a day and 2 times a day at fixed 2 time points for all job classification settings using the quartz framework. And the planning task reads the configuration of all the labels joband respectively judges whether the label names are repeated or not and whether the label types, the model label check table and the model label scripts are correct or not. And judging whether the value range of the service label and the default value of the label are consistent or not, and whether the expression is in compliance or not. And judging whether the name of the combined label is correct, whether the filtering condition is standard, whether the output field contains user _ id and whether the use is stopped. Checking the passed job to obtain all configurations, converting hql of the model label, the expression of the service label and the name of the filter condition splicing label of the combined label into ES (elastic search) language, uniformly transmitting the ES language to the label generating module, and replacing the called wide table with the newly generated wide table after the label generating module generates the new wide table to complete the new data updating and use.
3. Label generating module
As shown in fig. 4, the module generates a wide table by using elastic search data storage, and generates a first layer of model tags by uniformly extracting data from hive through hql; the generated model label can be processed to generate a business label; and generating a combined label through the intersection, union and difference set functions of the elastic search. The model label, the service label and the combined label are uniformly provided to the service as a broad table.
The module performs the following operations:
(1) reading the label jobto obtain the label name to be generated;
(2) according to the jobconfiguration and the user dimension, a core-label width table of the system is created;
(3) inquiring a bottom HIVE library to obtain a first layer of model labels, and updating the corresponding default value of the wide table;
(4) through the first layer of model label data, according to the query sql in the jobinformation, updating the service label data;
(5) and updating the combined label data by a two-layer label according to the query sql in the jobinformation and by combining the intersection, union and difference set functions of the elastic search.
4. Label inquiry module
The module is used for real-time query of the tags, and mainly comprises an available tag interface, a user tag interface, a tag data interface and a tag state interface, so that a business department system can conveniently know the user condition in real time. And the tag query module queries the ElasticSearch in real time, queries a tag value according to the user _ id and caches a query result to redis so as to improve the performance. The interface provided by the label inquiry module mainly has the following functions:
(1) searching corresponding label data according to the label title or name;
(2) acquiring an appointed label attribute value of a specific user;
(3) searching corresponding label generation data according to the label title or name;
(4) and acquiring the data state of the combined label.
By adopting the technical scheme, compared with the prior art, the invention has the following advantages and beneficial effects:
(1) labels (model labels, business labels and combination labels) can be created in a visual mode;
(2) the label can be efficiently created, the traditional scheme which needs to be developed together by the front end and the back end is abandoned, the label is configured by using the elastic search matched with the label hierarchical mode, the new label is created only by configuring SQL, and development and online deployment are not needed;
(3) the BoolSearch of the elastic search is utilized to support the combined labels of intersection, union and difference sets, while the traditional scheme only supports intersection sets by using hive or sql;
(4) by utilizing the search function of the ElasticSearch, the tag availability monitoring function is added.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention. Any modification, equivalent replacement or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A label creation and management system, wherein the system is a three-tier architecture, wherein the three-tier architecture is, in order:
the model label layer generates a label for the first time according to the basic attribute of the user;
the business label layer carries out business processing on the basic attribute in the model label layer, and carries out second generation of the label;
the combined label layer generates a plurality of labels for the third time in a mode of combining, merging and difference set composition according to the service scene;
and the system comprises:
the management module is used for providing visual label configuration, checking label quality control in real time, managing label tasks and generating tasks, and also providing addition, deletion, modification, creation and default preview of labels and combined labels;
the label scheduling module is used for checking and managing the labels configured in the management module through a timing task and certain configuration, analyzing the configuration information of the labels, providing tasks meeting requirements, updating the names of the wide tables after the labels are generated, replacing the old tables according to the newly generated wide tables and providing external services;
the label generating module is used for generating a wide table with all fields being default values according to the information transmitted by the label scheduling module;
and the label inquiry module is used for inquiring the label in real time and comprises an available label interface, a user label interface, a label data interface and a label state interface.
2. The system of claim 1, wherein the management module comprises:
the model management module is used for extracting key fields from the data of the data warehouse according to different purposes, taking the key fields as basic data labels, and forming a user dimensional model wide table from the labels extracted by the plurality of models;
the label management module is used for generating a client label according to the basic data label in the model management module;
the label quality control module is used for displaying the client label in a graphical mode;
the comprehensive management module is used for managing the label classification user information, displaying the category and the relationship of the label, and;
and the combined label module is used for generating the combined label through the functions of intersection, union and difference set of a plurality of labels.
3. The system of claim 1, wherein the basic attributes of the user in the model label layer include gender and age.
4. The system of claim 1, wherein the visual tag configuration in the management module comprises tag name, tag category, tag default, tag type, tag update time, and tag generation rules.
5. The system of claim 1, wherein the management module creates the combo tag by dragging and pulling.
6. The system of claim 1, wherein the tag scheduling module performs verification management on the tags configured in the management module through configuration of daily timing, weekly timing and monthly timing.
7. The system of claim 1, wherein the tags configured within the management module include model tags, business tags, and combination tags.
8. The system according to any one of claims 1 to 7, wherein the configuration information of the tag parsed by the tag scheduling module includes a default value, an initial value, a tag type, and a tag category.
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