CN109684377A - General big data handles development platform and its data processing method in real time - Google Patents
General big data handles development platform and its data processing method in real time Download PDFInfo
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- CN109684377A CN109684377A CN201811528297.3A CN201811528297A CN109684377A CN 109684377 A CN109684377 A CN 109684377A CN 201811528297 A CN201811528297 A CN 201811528297A CN 109684377 A CN109684377 A CN 109684377A
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Abstract
The invention discloses a kind of general big datas to handle development platform and its data processing method in real time, which includes: data acquisition module, for obtaining multiple heterogeneous data sources from database；Data transmission module, for issuing multiple heterogeneous data sources；Data processing module, for respectively in multiple heterogeneous data sources batch data and flow data handled and called corresponding presetting database, to construct service application；Memory module, for being stored to processed batch data and flow data；Export enquiry module, for storage batch data and flow data inquire；Application program coordination service module, to monitor the processing event of each module, to call corresponding service to handle corresponding data when event anomalies are managed in certain.Technical solution of the present invention can be improved the development efficiency of data processing system, reduce development cost.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of general big data handle in real time development platform and its
Data processing method.
Background technique
Currently, having many different but essence and similar solution in data processing field, these schemes are to data
Process flow generally comprise: data acquisition, data transmission, data processing, data store this four steps, and each step can
When design data processing is system, above-mentioned separate modular can be carried out grinding or using certainly as a separate modular
Component of increasing income carries out permutation and combination.It can't do without the processing part to data in own service for medium and small scientific & technical corporation, such as
Fruit uses from grinding route, and one business of every realization may require these data processing systems of overlapping development from the beginning to the end, this its
In workload occupy a greater part of project development time, and also need to pacify due to having coupled business characteristic after completion system
Row special messenger safeguards that the resource to company is a kind of serious waste to different business systems.If using open source or mixed
Conjunction scheme needs to carry out Technology Selection for different business in numerous open source components, and there are certain examinations in Technology Selection
Difficulty.
In view of this, it is necessary to which current data processing system is further improved in proposition.
Summary of the invention
To solve an above-mentioned at least technical problem, the main object of the present invention is to provide a kind of general big data and handles in real time
Development platform and its data processing method.
To achieve the above object, a technical solution adopted by the present invention are as follows: a kind of general big data is provided and is handled in real time
Development platform, comprising:
Data acquisition module, for obtaining multiple heterogeneous data sources from database；
Data transmission module, the data transmission module are electrically connected with data acquisition module, are used for multiple isomeric datas
It is issued in source；
Data processing module, the data processing module are electrically connected with data transmission module, for respectively to multiple isomeries
Batch data and flow data in data source are handled and are called corresponding presetting database, to construct service application, wherein
The data processing module is preset with application database；
Memory module, the memory module are electrically connected with data processing module, for processed batch data and stream
Data are stored；
Export enquiry module, the output enquiry module is electrically connected with memory module, for storage batch data and
Flow data is inquired；
Application program coordination service module, the application program coordination service module respectively with data transmission module, data
Processing module, memory module and output enquiry module electrical connection, to monitor the processing event of each module, in certain director
When part exception, corresponding service is called to handle corresponding data.
Wherein, the data type of the data collecting module collected include MySQL, Oracle, HDFS, Hive,
At least one of OceanBase, HBase, OTS and ODPS, and the data acquisition module is specially Ali's open source DataX.
Wherein, the data transmission module uses Kafka cluster, and multiple heterogeneous data sources are carried out distributed post.
Wherein, the data processing module is specially general real-time computing engines Spark cluster, multiple is answered parallel with constructing
With and call corresponding application database, and respectively in multiple heterogeneous data sources batch data and flow data located parallel
Reason.
Wherein, the application database includes SQL, DataFrames, MLlib, GraphX and Spark cluster
At least one of Streaming.
Wherein, the data processing module is specially column memory Kudu cluster, to the lot number through parallel processing
According to and flow data stored respectively.
Wherein, the output enquiry module is specially distributed query engine Impala cluster, with the lot number to storage
According to and flow data concurrently inquired.
Wherein, the application program coordination service module is specially distributed application program coordination service Zookeeper.
To achieve the above object, another technical solution used in the present invention are as follows: a kind of general big data is provided and is located in real time
Manage the data processing method of development platform, comprising:
S10, multiple heterogeneous data sources are obtained from database；
S20, multiple heterogeneous data sources are issued；
S30, respectively in multiple heterogeneous data sources batch data and flow data handled and called corresponding default
Database, to construct service application；
S40, processed batch data and flow data are stored；
S50, the batch data and flow data of storage are inquired；
The processing event that heterogeneous data source is handled in S60, monitoring step S20-S50, in certain director's part
When abnormal, the corresponding data of corresponding service processing are called.
Technical solution of the present invention mainly includes data acquisition module, data transmission module, data processing module, storage mould
Block, output enquiry module and the general big data of application program service module composition handle development platform in real time, pass through above-mentioned mould
The cooperation of block cooperates, and provides general distributed real-time calculation and analysis ability, while also providing a series of High Availabitities, Gao Xing
The infrastructure of energy, high scalability provides a kind of general development platform for different business, reduces inefficient, repetition
General character component exploitation, be conducive to improve data processing system development efficiency, reduce development cost.
Detailed description of the invention
Fig. 1 is the block diagram that the general big data of one embodiment of the invention handles development platform in real time；
Fig. 2 is that the general big data of the present invention handles development platform running environment figure in real time；
Fig. 3 is the method flow for the data processing method that the general big data of one embodiment of the invention handles development platform in real time
Figure.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
His embodiment, shall fall within the protection scope of the present invention.
It is to be appreciated that the description of " first ", " second " involved in the present invention etc. is used for description purposes only, and should not be understood as
Its relative importance of indication or suggestion or the quantity for implicitly indicating indicated technical characteristic.Define as a result, " first ",
The feature of " second " can explicitly or implicitly include at least one of the features.In addition, the technical side between each embodiment
Case can be combined with each other, but must be based on can be realized by those of ordinary skill in the art, when the combination of technical solution
Conflicting or cannot achieve when occur will be understood that the combination of this technical solution is not present, also not the present invention claims guarantor
Within the scope of shield.
Fig. 1 is please referred to, Fig. 1 is the block diagram that the general big data of one embodiment of the invention handles development platform in real time.
In embodiments of the present invention, which handles development platform in real time, comprising:
Data acquisition module 10, for obtaining multiple heterogeneous data sources from database；
Data transmission module 20, the data transmission module 20 are electrically connected with data acquisition module 10, and being used for will be multiple different
Structure data source is issued；
Data processing module 30, the data processing module 30 are electrically connected with data transmission module 20, for respectively to more
Batch data and flow data in a heterogeneous data source are handled and are called corresponding presetting database, are answered with constructing business
With, wherein the data processing module 30 is preset with application database；
Memory module 40, the memory module 40 are electrically connected with data processing module 30, for processed lot number
According to and flow data stored；
Enquiry module 50 is exported, the output enquiry module 50 is electrically connected with memory module 40, for the batch to storage
Data and flow data are inquired；
Application program coordination service module 60, the application program coordination service module 60 respectively with data transmission module
20, data processing module 30, memory module 40 and output enquiry module 50 are electrically connected, to monitor the processing event of each module,
To call corresponding service to handle corresponding data when event anomalies are managed in certain.
In the present embodiment, which can acquire multiple heterogeneous data sources in disparate databases, support
Any isomeric data system off-line data interaction.Data transmission module 20 can be distributed with multiple heterogeneous data sources, with transmission
To data processing module 30.Data processing module 30 can be handled batch data in multiple heterogeneous data sources and flow data
And by presetting database corresponding with the interaction calling of user, to construct the service application needed；Memory module 40, can be with
It is stored to through batch data and flow data；Output enquiry module 50 with to storage batch data and flow data look into
It askes；Application program coordination service module 60, can be with Coordination Treatment data transmission module 20, data processing module 30, memory module
40 and output enquiry module 50 call corresponding service to handle corresponding number when event anomalies are managed in certain of each module
According to guarantee the High Availabitity and Consistency service of platform.
Technical solution of the present invention mainly include data acquisition module 10, data transmission module 20, data processing module 30,
Memory module 40, output enquiry module 50 and the general big data of application program service module composition handle development platform in real time,
It is cooperated by the cooperation of above-mentioned module, provides general distributed real-time calculation and analysis ability, while also providing a series of
High Availabitity, high-performance, the infrastructure of high scalability provide a kind of general development platform for different business, reduce
The exploitation of inefficient, duplicate general character component is conducive to the development efficiency for improving data processing system, reduces development cost.
In a specific embodiment, the data type that the data acquisition module 10 acquires include MySQL,
At least one of Oracle, HDFS, Hive, OceanBase, HBase, OTS and ODPS, and the data acquisition module 10 is specific
For Ali's open source DataX.In the present embodiment, initial data to be treated can store in MySQL, Oracle, HDFS,
In at least one of Hive, OceanBase, HBase, OTS and ODPS database, data are carried out by Ali's open source DataX and are adopted
Collection may be implemented efficient data between various heterogeneous data sources and synchronize, and DataX uses frame+plug-in unit mode, Ke Yifang
Just the difference of reply different data sources also has preferable extended capability.
In a specific embodiment, the data transmission module 20 uses Kafka cluster, by multiple isomeric datas
Source carries out distributed post.Kafka cluster is distributed stream processing platform, has the distribution subscription ability similar message to message
Queue or enterprise-level message system have persistence fault-tolerant ability and real-time message processing ability to message, will be more
A heterogeneous data source carries out distributed post.
In a specific embodiment, the data processing module 30 is specially general real-time computing engines Spark collection
Group, to construct multiple Parallel applications and call corresponding application database, and respectively to the lot number in multiple heterogeneous data sources
According to and flow data carry out parallel processing.In the present embodiment, general real-time computing engines Spark cluster is built-in with directed acyclic graph tune
Device, query optimizer and physics enforcement engine are spent, the high-performance treatments to batch data and flow data may be implemented, additionally provide
More than 80 kinds high level operations symbol allow to by its convenient building Parallel application can also by Scala, Python, R,
SQL Shells very easily interacts operation.In addition, Spark cluster be equipped with application database, specifically include SQL,
At least one of DataFrames, MLlib, GraphX and Spark cluster Streaming, to facilitate the use of developer.
In a specific embodiment, the data processing module 30 is specially column memory Kudu cluster, with right
Batch data and flow data through parallel processing are stored respectively.The Kudu cluster is capable of providing quickly insertion, updates behaviour
Work and efficient column scan, aim at the scene analyzed in the data of frequent updating and design, significantly reduce Spark
The query latency of cluster and subsequent Impala cluster.
In a specific embodiment, the output enquiry module 50 is specially distributed query engine Impala collection
Group, with to storage batch data and flow data concurrently inquired.In the present embodiment, Impala cluster provides low latency height
Concurrent search efficiency has preferable linear extendible ability in concurrent environment.Further, the application program association
Adjusting service module 60 is specially distributed application program coordination service Zookeeper.In the present embodiment, Zookeeper can be protected
Demonstrate,prove the high availability and consistency of distributed system, additionally it is possible to provide configuring maintenance, domain name service, distributed synchronization, group service
Etc. functions.
Referring to figure 2., Fig. 2 is that the general big data of the present invention handles development platform running environment figure in real time.General big data
The data acquisition module 10 in processing development platform is applied to data collection layer in real time, and data transmission module 20 is passed applied to data
Defeated layer, data processing module 30 are applied to data analysis layer, and memory module 40 is applied to data storage layer, export enquiry module 50
Applied to data query layer, source data layer can be convenient the initial data for importing developer's input.
Referring to figure 3., Fig. 3 is the data processing method that the general big data of one embodiment of the invention handles development platform in real time
Method flow diagram.In an embodiment of the present invention, which handles the data processing method of development platform in real time, packet
It includes:
S10, multiple heterogeneous data sources are obtained from database；
S20, multiple heterogeneous data sources are issued；
S30, respectively in multiple heterogeneous data sources batch data and flow data handled and called corresponding default
Database, to construct service application；
S40, processed batch data and flow data are stored；
S50, the batch data and flow data of storage are inquired；
The processing event that heterogeneous data source is handled in S60, monitoring step S20-S50, in certain director's part
When abnormal, corresponding service is called to handle corresponding data.
In the present embodiment, the multiple heterogeneous data sources obtained from database, to obtain original processing to be treated, so
Multiple heterogeneous data sources are distributed afterwards, and then are handled simultaneously to batch data in multiple heterogeneous data sources and flow data
By presetting database corresponding with the interaction calling of user, to construct the service application needed, then to through batch data
And flow data is stored；And the batch data and flow data of storage are inquired；It is also wrapped in above-mentioned steps S20-S50
Monitoring is included and processing event that Coordination Treatment handles heterogeneous data source, specifically, in certain director's part of each module
When abnormal, the corresponding data of corresponding service processing are called, to guarantee the High Availabitity and Consistency service of platform.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in scope of patent protection of the invention.
Claims (9)
1. a kind of general big data handles development platform in real time, which is characterized in that it is flat that the general big data handles exploitation in real time
Platform includes:
Data acquisition module, for obtaining multiple heterogeneous data sources from database；
Data transmission module, the data transmission module are electrically connected with data acquisition module, for by multiple heterogeneous data sources into
Row publication；
Data processing module, the data processing module are electrically connected with data transmission module, for respectively to multiple isomeric datas
Batch data and flow data in source are handled and are called corresponding presetting database, to construct service application, wherein described
Data processing module is preset with application database；
Memory module, the memory module are electrically connected with data processing module, for processed batch data and flow data
It is stored；
Enquiry module is exported, the output enquiry module is electrically connected with memory module, for the batch data and fluxion to storage
According to being inquired；
Application program coordination service module, the application program coordination service module respectively with data transmission module, data processing
Module, memory module and output enquiry module electrical connection, to monitor the processing event of each module, with different in certain director's part
Chang Shi calls corresponding service to handle corresponding data.
2. general big data as described in claim 1 handles development platform in real time, which is characterized in that the data acquisition module
The data type of acquisition includes at least one of MySQL, Oracle, HDFS, Hive, OceanBase, HBase, OTS and ODPS,
And the data acquisition module is specially Ali's open source DataX.
3. general big data as claimed in claim 2 handles development platform in real time, which is characterized in that the data transmission module
Using Kafka cluster, multiple heterogeneous data sources are subjected to distributed post.
4. general big data as claimed in claim 3 handles development platform in real time, which is characterized in that the data processing module
Specially general real-time computing engines Spark cluster, to construct multiple Parallel applications and call corresponding application database, and point
Other batch data and flow data in multiple heterogeneous data sources carries out parallel processing.
5. general big data as claimed in claim 4 handles development platform in real time, which is characterized in that the application database packet
Include at least one of SQL, DataFrames, MLlib, GraphX and Spark cluster Streaming.
6. general big data as claimed in claim 5 handles development platform in real time, which is characterized in that the data processing module
Specially column memory Kudu cluster, with to through parallel processing batch data and flow data store respectively.
7. general big data as claimed in claim 6 handles development platform in real time, which is characterized in that the output enquiry module
Specially distributed query engine Impala cluster, with to storage batch data and flow data concurrently inquired.
8. general big data as claimed in claim 7 handles development platform in real time, which is characterized in that the application program is coordinated
Service module is specially distributed application program coordination service Zookeeper.
9. the data processing method that a kind of general big data handles development platform in real time, which is characterized in that the general big data
The data processing method of processing development platform includes: in real time
S10, multiple heterogeneous data sources are obtained from database；
S20, multiple heterogeneous data sources are issued；
S30, respectively in multiple heterogeneous data sources batch data and flow data handled and call corresponding preset data
Library, to construct service application；
S40, processed batch data and flow data are stored；
S50, the batch data and flow data of storage are inquired；
The processing event that heterogeneous data source is handled in S60, monitoring step S20-S50, to manage event anomalies in certain
When, call the corresponding data of corresponding service processing.
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