CN107577680B - Real-time full-text retrieval system based on HBase big data and implementation method thereof - Google Patents
Real-time full-text retrieval system based on HBase big data and implementation method thereof Download PDFInfo
- Publication number
- CN107577680B CN107577680B CN201610522972.6A CN201610522972A CN107577680B CN 107577680 B CN107577680 B CN 107577680B CN 201610522972 A CN201610522972 A CN 201610522972A CN 107577680 B CN107577680 B CN 107577680B
- Authority
- CN
- China
- Prior art keywords
- hbase
- cluster
- data
- module
- hbase cluster
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a real-time full-text retrieval system based on HBase big data and an implementation method thereof, wherein the system comprises the following steps: the HBase cluster copying module is started simultaneously with the HBase cluster and monitors whether a region Server of a slave cluster is registered in real time, and if so, the data change is synchronized to the registered region Server in real time when the data change exists in the HBase cluster; the index server module realizes an interface of the RegionServer to simulate the RegionServer of a slave cluster, and comprises the following components: calling a replicationAdmin interface of the HBase to register in an HBase cluster copying module, informing that the HBase cluster is a slave cluster RegionServer, receiving data transmitted by the HBase cluster, converting the data according to the format of a search engine after receiving the data of the HBase cluster, and transmitting the data to a search engine module; and the search engine module is used for establishing full-text indexes according to the converted data so as to realize real-time full-text retrieval of HBase data by a user. The real-time full-text retrieval with high efficiency and low time delay can be realized based on Hbase as data storage.
Description
Technical Field
The invention relates to the technical field of computer processing, in particular to a real-time full-text retrieval system based on HBase big data and an implementation method thereof.
Background
HBase is increasingly being used as a NoSQL database to store large amounts of data in an online production environment. HBase is a key-value (key-value) storage, column family-oriented database that can quickly locate corresponding rows according to key values keys to be queried. However, in many scenarios, the user often only knows the value of the required query, but not the key corresponding to the value. Even if the user only knows a certain part of the value, like a search engine, the user can search all the line numbers only containing partial values in full text, and at this time, the HBase usually can only scan the whole table for the requirement, take out the values of all the lines, and then see whether the value has the content which the user needs to inquire, so that the method is low in efficiency, and the time delay is very serious under the condition that the storage quantity of the HBase is larger and larger, and the requirement of the user cannot be met at all.
In view of this, how to implement high-efficiency and low-delay real-time full-text retrieval based on Hbase as data storage becomes a technical problem to be solved at present.
Disclosure of Invention
In order to solve the technical problems, the invention provides a real-time full-text retrieval system based on HBase big data and an implementation method thereof, which can realize high-efficiency and low-delay real-time full-text retrieval based on Hbase as data storage.
In a first aspect, the present invention provides a real-time full-text retrieval system based on HBase big data, including: the HBase cluster replication module, the index server module and the search engine module;
the HBase cluster copying module is used for starting the HBase cluster at the same time, monitoring whether a region server RegionServer of a slave cluster is registered or not in real time, and if so, synchronizing the data change to the registered region server of the slave cluster in real time when the data change occurs in the HBase cluster;
the index server module is used for realizing the interface of the RegionServer to simulate the RegionServer of a slave cluster, and comprises the following components: calling a replicationAdmin interface of the HBase to register in the HBase cluster copying module, informing that the HBase cluster is a slave cluster's RegionServer and receiving data transmitted by the HBase cluster; after receiving the data of the HBase cluster, converting the data according to the format of a search engine, and transmitting the converted data to the search engine module;
and the search engine module is used for establishing full-text indexes according to the converted data so as to realize real-time full-text retrieval of HBase data by a user.
Preferably, the data change includes: delete data, insert data, and/or update data on the tables of the HBase cluster.
Preferably, the index server module is a Remote Procedure Call (RPC) server.
In a second aspect, the present invention provides a method for implementing the HBase big data-based real-time full-text retrieval system, including:
creating an index server module, calling a ReplicationAdmin interface of the HBase to register to the HBase cluster copying module, informing the HBase cluster that the HBase cluster is a region server of a slave cluster, and receiving data transmitted by the HBase cluster;
when the HBase cluster is started, the HBase cluster copying module is started and monitors whether a region server of the slave cluster is registered in real time, if so, the data change is synchronized to the region server of the registered slave cluster in real time when the data change exists in the HBase cluster;
after receiving the data transmitted by the HBase cluster, the index server module converts the data according to the format of a search engine and transmits the converted data to the search engine module;
and the search engine module establishes full-text index according to the converted data so as to realize real-time full-text retrieval of HBase data by a user.
Preferably, before starting the HBase cluster, the method further comprises:
and modifying the HBase configuration file to realize that the HBase cluster copying module is started at the same time of starting the HBase cluster.
Preferably, the data change includes: delete data, insert data, and/or update data on the tables of the HBase cluster.
Preferably, the index server module is a Remote Procedure Call (RPC) server, and when the HBase cluster replication module monitors that the index server module simulates a slope cluster and registers in and the HBase cluster has data change, the HBase cluster replication module synchronizes the data change to the index server module in real time by calling RPC method replicateLogistics.
Preferably, the HBase cluster replication module monitors in real time whether a regional server RegionServer registered from a cluster slave cluster exists, and if so, synchronizes data change to a RegionServer of the registered slave cluster in real time when the HBase cluster has the data change, including:
when a user carries out data change on data stored by an HBase cluster through an API (application program interface) of a client of the HBase cluster, the HBase cluster records the data change operation in an HLog log file, the HBase cluster copying module monitors the content change of the HLog log file in real time, and when the HBase cluster copying module monitors that the index server module simulates the operation that a slave cluster server is registered in and the HLog log file contains the data change, the data change is synchronized to the index server module in real time.
According to the technical scheme, the real-time full-text retrieval system based on HBase big data and the implementation method thereof can realize high-efficiency and low-delay real-time full-text retrieval based on Hbase as data storage.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure 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, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a real-time full-text retrieval system based on HBase big data according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of an implementation method of the HBase big data-based real-time full-text retrieval system shown in fig. 1 according to an embodiment of the present disclosure
Fig. 3 is a flowchart illustrating a more specific implementation method of the real-time full-text retrieval system based on HBase big data shown in fig. 1 according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Fig. 1 is a real-time full-text retrieval system based on HBase big data according to an embodiment of the present disclosure, and as shown in fig. 1, the real-time full-text retrieval system based on HBase big data according to the embodiment includes: an HBase cluster copying module (HBase Replication), an index Server module (HBaseIndexer Server) and a Search Engine module (Search Engine); wherein:
the HBase cluster copying module is used for starting the HBase cluster at the same time, monitoring whether a region server RegionServer of a slave cluster is registered or not in real time, and if so, synchronizing the data change to the registered region server of the slave cluster in real time when the data change occurs in the HBase cluster;
the index server module is used for realizing the interface of the RegionServer to simulate the RegionServer of a slave cluster, and comprises the following components: calling a replicationAdmin interface of the HBase to register in the HBase cluster copying module, informing that the HBase cluster is a slave cluster's RegionServer and receiving data transmitted by the HBase cluster; after receiving the data of the HBase cluster, converting the data according to the format of a search engine, and transmitting the converted data to the search engine module;
and the search engine module is used for establishing full-text indexes according to the converted data so as to realize real-time full-text retrieval of HBase data by a user.
In a specific application, the data change may include: and deleting data, inserting data, updating data and the like on the table of the HBase cluster.
In a specific application, the index server module is a Remote Procedure Call (RPC) server.
The real-time full-text retrieval system based on the HBase big data can be applied to all scenes which are expected to realize full-text retrieval based on HBase big data storage, an index Server module (HBaseIndexer Server) is used as a bridge in front of an HBase cluster and a search engine module, the index Server module simulates a regional Server region Server disguised as the HBase by utilizing an HBase master-slave cluster copying mechanism, the regional Server region Server registers to the HBase cluster copying module, the HBase cluster copying module determines that the index Server module region Server region. The method ensures the data synchronization between the HBase cluster and the search engine module, and can realize high-efficiency and low-delay real-time full-text retrieval based on the data storage of the HBase. When a user operates the HBase, the user does not know that the background builds the full text index in real time based on the HBase data. The system has the advantages that each module has separated functions, the synchronization of data and the realization of the real-time full-text retrieval function are realized by utilizing an HBase cluster replication mechanism, and the realization of the HBase data real-time search system can be realized under the conditions of not influencing the performance of the HBase cluster and being transparent to users.
Fig. 2 is a schematic flow chart of a method for implementing the HBase big data-based real-time full-text retrieval system shown in fig. 1 according to an embodiment of the present disclosure, as shown in fig. 2, including steps 101 and 104:
101. and creating an index server module, wherein the index server module calls a ReplicationAdmin interface of the HBase to register to the HBase cluster copying module, informs that the HBase cluster is a region server of a slave cluster, and is to receive data transmitted by the HBase cluster.
102. When the HBase cluster is started, the HBase cluster copying module is started and monitors whether a queue server of the queue cluster is registered in real time, if so, the data change is synchronized to the queue server of the registered queue cluster in real time when the data change exists in the HBase cluster.
The data change may include: and deleting data, inserting data, updating data and the like on the table of the HBase cluster.
In a specific application, before the HBase cluster is started in step 102, the method further includes:
and modifying the HBase configuration file to realize that the HBase cluster copying module is started at the same time of starting the HBase cluster.
In specific application, the index server module is a Remote Procedure Call (RPC) server, and when the HBase cluster copying module monitors that the index server module simulates a rule cluster and registers and the HBase cluster has data change, the HBase cluster copying module synchronizes the data change to the index server module in real time by calling RPC method replicateLogistics.
Specifically, in step 102, when a user performs data change on data stored in an HBase cluster through an Application Programming Interface (API) of a client of the HBase cluster, the HBase cluster records the data change operation in an HLog log file, the HBase cluster replication module monitors the content change of the HLog log file in real time, and when the HBase cluster replication module monitors that the indexing server module simulates an operation of registering a slave cluster server and the HLog log file contains data change, the data change is synchronized to the indexing server module in real time.
103. And after receiving the data transmitted by the HBase cluster, the index server module converts the data according to the format of a search engine and transmits the converted data to the search engine module.
104. And the search engine module establishes full-text index according to the converted data so as to realize real-time full-text retrieval of HBase data by a user.
By using the method of the embodiment, the real-time full-text retrieval system based on HBase big data can be realized, and the high-efficiency and low-delay real-time full-text retrieval can be realized based on the HBase as data storage under the conditions of not influencing the performance of an HBase cluster and being transparent to users.
Further, the data flow of the real-time full-text retrieval system based on the HBase big data shown in fig. 1 is as follows:
1. when a user performs an update operation of inserting, updating or deleting data stored in the HBase cluster through a client API (application program interface) provided by the HBase, data change occurs, and at this time, data in a search engine needs to be updated synchronously in real time. 2. The HBase cluster will first record these operations in the HLog log file. 3. The HBase cluster copy module (Replication) monitors HLog file content changes, when a data updating operation occurs, the HBase cluster copy module captures the changed data, and then if a local server (RegionServer) of a cluster is registered on the Replication, the changed data is transmitted to the registered RegionServer by the Replication. Since the index server module (HBaseIndexer) already implements the RegionServer interface and registers on top of the Reliction. So the HBaseIndexer is regarded as a RegionServer and can accept the change data. 4. The HbaseIndexer initiates a request to a search engine module according to the received data, and performs corresponding index change according to the type of the data, such as updating, inserting or deleting, so as to ensure real-time synchronization of the data. 5. The user can search the data stored on the HBase in a full text mode in real time through the search engine module.
Fig. 3 is a flowchart illustrating a more specific implementation method of the real-time full-text retrieval system based on HBase big data shown in fig. 1 according to an embodiment of the present disclosure, and as shown in fig. 3, specific implementation steps of a whole system scheme may include:
the first step is to start the HBase release function. Modify HBase configuration file HBase-site.xml with configuration item HBase.
And secondly, creating an interface HRegioninterface of an HBaseIndexerServerwhich needs time RegionServer, and then starting RPC service. A method replicateLogEntries in the HRegionInterface interface needs to be realized by an HBaseInender in an important way, because the Replication calls the RPC method to transmit data to the HBaseInender.
And thirdly, starting the HBaseIndexer service, and calling the method addPeer of the Relicatemin of the HBase to register the address on the Replication after the server is started. After receiving the registration request, the HBase Replication will put the region Server server it considers into its own queue. When there is a data change, it selects a RegionServer server from the queue and then calls the remote procedure method replicateLogEntries to transfer the data through.
And fourthly, waiting for data change on the HBase. When the data of the HBase client side changes, the HBase records the changes into a log file HLog in the HBase. And then entering the fifth step. Otherwise it is waiting.
And fifthly, capturing the change data from the HLog. The replay keeps recording the offset value of the HLog file, and when it is found that the offset value is changed, it knows that an operation has occurred, and it reads the data from the current offset value to the end, and then puts the read data into a list. Then check to see if a RegionServer has registered itself on it, and transmit the list of data through a remote procedure call if any.
And sixthly, waiting for the relay to transmit data by the HBaseIndexer. When receiving the transmitted data, the hbsaseindexer first needs to parse the data because there are different data operations such as delete, insert, update, etc. inside. The method can firstly convert the uniform format of the search engine system interface according to different types of operation, then call the corresponding API interface to change the index, thereby realizing the real-time synchronization of data and the creation of full-text index.
By using the method of the embodiment, the real-time full-text retrieval system based on HBase big data can be realized, and the high-efficiency and low-delay real-time full-text retrieval can be realized based on the HBase as data storage under the conditions of not influencing the performance of an HBase cluster and being transparent to users.
It should be noted that, in the respective components of the system of the present disclosure, the components therein are logically divided according to the functions to be implemented, but the present disclosure is not limited thereto, and the respective components may be re-divided or combined as needed, for example, some components may be combined into a single component, or some components may be further decomposed into more sub-components.
Various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor may be used in practice to implement some or all of the functionality of some or all of the components in a system according to embodiments of the present disclosure. The present disclosure may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present disclosure may be stored on a computer-readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above embodiments are only suitable for illustrating the present disclosure, and not limiting the present disclosure, and those skilled in the relevant art can make various changes and modifications without departing from the spirit and scope of the present disclosure, so that all equivalent technical solutions also belong to the scope of the present disclosure, and the scope of the present disclosure should be defined by the claims.
Claims (6)
1. A real-time full-text retrieval system based on HBase big data is characterized by comprising: the HBase cluster replication module, the index server module and the search engine module;
the HBase cluster copying module is used for starting the HBase cluster at the same time, monitoring whether a region server RegionServer of a slave cluster is registered or not in real time, and if so, synchronizing the data change to the registered region server of the slave cluster in real time when the data change occurs in the HBase cluster;
the index server module is used for realizing the interface of the RegionServer to simulate the RegionServer of a slave cluster, and comprises the following components: calling a replicationAdmin interface of the HBase to register in the HBase cluster copying module, informing that the HBase cluster is a slave cluster's RegionServer and receiving data transmitted by the HBase cluster; after receiving the data of the HBase cluster, converting the data according to the format of a search engine, and transmitting the converted data to the search engine module;
the search engine module is used for establishing full-text indexes according to the converted data so as to realize real-time full-text retrieval of HBase data by a user;
the index server module is a Remote Procedure Call (RPC) server;
and the HBase cluster copying module synchronizes the data change to the index server module in real time by calling RPC method replicateLogientries.
2. The system of claim 1, wherein the data change comprises: delete data, insert data, and/or update data on the tables of the HBase cluster.
3. The implementation method of the real-time full-text retrieval system based on the HBase big data, which is based on the claim 1 or 2, is characterized by comprising the following steps:
creating an index server module, calling a ReplicationAdmin interface of the HBase to register to the HBase cluster copying module, informing the HBase cluster that the HBase cluster is a region server of a slave cluster, and receiving data transmitted by the HBase cluster;
when the HBase cluster is started, the HBase cluster copying module is started and monitors whether a region server of the slave cluster is registered in real time, if so, the data change is synchronized to the region server of the registered slave cluster in real time when the data change exists in the HBase cluster;
after receiving the data transmitted by the HBase cluster, the index server module converts the data according to the format of a search engine and transmits the converted data to the search engine module;
the search engine module establishes full-text index according to the converted data to realize real-time full-text retrieval of HBase data by a user;
the index server module is a Remote Procedure Call (RPC) server, and when the HBase cluster copying module monitors that the index server module simulates a slope cluster register and the HBase cluster has data change, the HBase cluster copying module synchronizes the data change to the index server module in real time by calling RPC method replicateLogientries.
4. The method according to claim 3, before starting the HBase cluster, further comprising:
and modifying the HBase configuration file to realize that the HBase cluster copying module is started at the same time of starting the HBase cluster.
5. The method of claim 3, wherein the data transformation comprises: delete data, insert data, and/or update data on the tables of the HBase cluster.
6. The method according to claim 3, wherein the HBase cluster replication module monitors in real time whether a regional server RegionServer registered from a cluster slave cluster exists, and if so, synchronizes data change to a RegionServer of the registered slave cluster in real time when the HBase cluster has the data change, comprising:
when a user carries out data change on data stored by an HBase cluster through an API (application program interface) of a client of the HBase cluster, the HBase cluster records the data change operation in an HLog log file, the HBase cluster copying module monitors the content change of the HLog log file in real time, and when the HBase cluster copying module monitors that the index server module simulates the operation that a slave cluster server is registered in and the HLog log file contains the data change, the data change is synchronized to the index server module in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610522972.6A CN107577680B (en) | 2016-07-05 | 2016-07-05 | Real-time full-text retrieval system based on HBase big data and implementation method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610522972.6A CN107577680B (en) | 2016-07-05 | 2016-07-05 | Real-time full-text retrieval system based on HBase big data and implementation method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107577680A CN107577680A (en) | 2018-01-12 |
| CN107577680B true CN107577680B (en) | 2021-04-09 |
Family
ID=61049231
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610522972.6A Active CN107577680B (en) | 2016-07-05 | 2016-07-05 | Real-time full-text retrieval system based on HBase big data and implementation method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107577680B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109614271B (en) * | 2018-12-14 | 2023-06-13 | 深圳前海微众银行股份有限公司 | Method, device, equipment and storage medium for controlling consistency of multiple cluster data |
| CN116383311B (en) * | 2023-06-05 | 2023-08-18 | 云筑信息科技(成都)有限公司 | Method for real-time fusion search of provider portrait data in building industry |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104731945A (en) * | 2015-03-31 | 2015-06-24 | 浪潮集团有限公司 | Full-text searching method and device based on HBase |
| CN105069151A (en) * | 2015-08-24 | 2015-11-18 | 用友网络科技股份有限公司 | HBase secondary index construction apparatus and method |
| CN105095458A (en) * | 2015-07-29 | 2015-11-25 | 南威软件股份有限公司 | Method for big data retrieval based on time characteristics and supporting complicated conditions |
| CN105404676A (en) * | 2015-11-20 | 2016-03-16 | 中国科学院计算技术研究所 | HBase secondary index updating method and system based on HFile |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014143514A1 (en) * | 2013-02-19 | 2014-09-18 | Huawei Technologies Co., Ltd. | System and method for database searching |
-
2016
- 2016-07-05 CN CN201610522972.6A patent/CN107577680B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104731945A (en) * | 2015-03-31 | 2015-06-24 | 浪潮集团有限公司 | Full-text searching method and device based on HBase |
| CN105095458A (en) * | 2015-07-29 | 2015-11-25 | 南威软件股份有限公司 | Method for big data retrieval based on time characteristics and supporting complicated conditions |
| CN105069151A (en) * | 2015-08-24 | 2015-11-18 | 用友网络科技股份有限公司 | HBase secondary index construction apparatus and method |
| CN105404676A (en) * | 2015-11-20 | 2016-03-16 | 中国科学院计算技术研究所 | HBase secondary index updating method and system based on HFile |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107577680A (en) | 2018-01-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109542865B (en) | Method, device, system and medium for synchronizing configuration files of distributed cluster system | |
| US11012505B2 (en) | Application information sharing method and apparatus | |
| CN109391646B (en) | Message middleware message acquisition method, device and system | |
| US8078628B2 (en) | Streaming faceted search | |
| US9589063B2 (en) | Two-dimensional code processing method and terminal | |
| CN108073625B (en) | System and method for metadata information management | |
| CN110262807B (en) | Cluster creation progress log acquisition system, method and device | |
| CN111324610A (en) | Data synchronization method and device | |
| US11310066B2 (en) | Method and apparatus for pushing information | |
| AU2014369911A1 (en) | Providing access to a cloud based content management system on a mobile device | |
| CN104348859B (en) | File synchronisation method, device, server, terminal and system | |
| CN110543512B (en) | Information synchronization method, device and system | |
| CN112416991A (en) | Data processing method and device and storage medium | |
| CN103646122A (en) | Picture identification method based on drag picture, picture identification system based on drag picture, picture identification equipment based on drag picture and picture identification device based on drag picture | |
| CN107577680B (en) | Real-time full-text retrieval system based on HBase big data and implementation method thereof | |
| CN103246729A (en) | Method and system for processing multi-media files of android mobile terminal | |
| CN103678706A (en) | Picture recognition method, system, equipment and device based on screenshot information | |
| US10402370B2 (en) | Information processing method and electronic apparatus | |
| CN114661823A (en) | Data synchronization method and device, electronic equipment and readable storage medium | |
| CN112788090A (en) | Network resource transmission method, device and system | |
| CN115952238A (en) | Data synchronization method and device | |
| CN111753141A (en) | Data management method and related equipment | |
| CN111596933B (en) | File processing method, device, electronic equipment and computer readable storage medium | |
| CN114297211A (en) | Data online analysis system, method, equipment and storage medium | |
| CN109446462B (en) | Page-based data monitoring processing method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201204 Address after: 100193, No. 34, building No. 8, West flourishing road, Haidian District, Beijing Applicant after: BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT Co.,Ltd. Address before: Office building D comprehensive service district Nangang Industrial Zone 300480 in Tianjin Binhai Economic and Technological Development Zone of Tianjin City 2 219-23 room Applicant before: Didi (China) Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |