CN108228749A - A kind of quick migration method of general time series data - Google Patents
A kind of quick migration method of general time series data Download PDFInfo
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- CN108228749A CN108228749A CN201711390964.1A CN201711390964A CN108228749A CN 108228749 A CN108228749 A CN 108228749A CN 201711390964 A CN201711390964 A CN 201711390964A CN 108228749 A CN108228749 A CN 108228749A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
Abstract
The invention belongs to Database Management System in Electrical Power System technical fields, disclose a kind of quick migration method of general time series data.The present invention creates Data Migration channel, configuration data source information and target database information, the measuring point mapping relations of disposition data source and target database, log-on data migrating channels, data in monitoring data migrating channels, start data acquisition, collected data are flowed into Data Migration channel, when having in Data Migration channel, data flow is fashionable, data are pressed into data-message queue, waiting stream handle thread is handled, stream handle thread real-time monitoring data message queue, when data-message queue is not empty, stream treatment thread is started to work, data are handled using corresponding data processing method, and data are transferred to target database.The present invention realizes a kind of general migrating technology scheme of time series data.
Description
Technical field
The invention belongs to Database Management System in Electrical Power System technical fields, are specifically related to a kind of the quick of general time series data and move
Shifting method.
Background technology
As production system is information-based, the continuous improvement of automatization level, the continuous development of data acquisition technology and extensively
Using the acquisition of corresponding time series data and migration demand are also more vigorous.As electricity power group's centralized management system, power plant are real
When the flows manufacturing enterprise such as supervisory information system and other information in power plant fields, energy conservation and environmental protection field, steel petrochemical industry it is automatic
Change, informatization etc., these can all be related to acquisition and the migration problem of time series data.Existing Data Migration mainly has：It patrols
Volume data image, direct copying, Storage Virtualization etc. are collected, however these methods are primarily directed to before database of the same race
Data shift, and there are various deficiencies.
Such as document 1（Power Distribution GIS system data migration method [J] power trains of Liu Lifeng based on Smallworld platforms
System automation, 2005,29（23）：97-99）The Power Distribution GIS system Data Migration side based on Smallworld platforms of middle proposition
Method mainly considers Data Migration between the two systems of same place of safety, but lacks trans-regional Data Migration.
Document 2（The research of data of information system moving method and application [J] Northwest Universitys journal during Liu Tian, 2006,36
(1):25-28）The data of information system moving method advantage of proposition is that designing general data exports form, and shortcoming is it
Backup file is text-only file, there is security risk.
Document 3（The realization of Data Migration and data sharing [c] between Liao Li brightness databases, the electric system of Chinese Higher school
And its 24th Annual Conference collection of thesis of Automation Specialty, 2010,1684-1688）It is proposed utilizes ORACLE, imp/
Exp and sqlplus tools, realize the Data Migration between relevant database, and deficiency is that relationship can only be confined to
Between type database.
Invention content
The present invention seeks to：In view of the deficiencies of the prior art, a kind of quick migration method of general time series data is provided.
This method can provide a general purpose, highly reliable and high performance distributed data acquisition, data for real-time data base and move
Support system is moved, and the main access way of its business datum can be become.
Specifically, the present invention adopts the following technical solutions realize, include the following steps：
1）Create Data Migration channel, configuration data source information and target database information；
2）The measuring point mapping relations of disposition data source and target database；
3）Log-on data migrating channels, the data in monitoring data migrating channels start data acquisition, and collected data flow into
Into Data Migration channel, data flow is fashionable when having in Data Migration channel, and data are pressed into data-message queue, waiting stream
Processor thread is handled；
4）Stream handle thread real-time monitoring data message queue, when data-message queue is not empty, stream treatment thread is opened
Beginning work handles data using corresponding data processing method, and data is transferred to target database；
5）Iteration performs step 3）With step 4）, complete the real-time acquisition of data and migration work.
Furthermore, the fast transferring of time series data, the data are completed using Data Migration interface adapter framework
It migrates interface adapter framework and includes management layer module, driving layer module and equipment layer module, wherein：
The management layer module controls service logic, commander's driving layer module carries out Data Migration for managing driving layer module；
The driving layer module is used to carry out Data Migration for the different data sources in equipment layer module；
The equipment layer module is made of different data sources, for providing the data source of migration.
Furthermore, the management layer module safeguards submodule, distributed coordination Attendant sub-module by metadata management
And submodule composition is distributed and shared to business datum, the metadata management is safeguarded submodule for the management of communication link and is matched
Put, the management of correspondence and configuration, the importing and exporting of communication link, correspondence import and export and correspondence is global
The inquiry of attribute, the distributed coordination Attendant sub-module control for the coordination of distributed deployment, the business datum distribution
Business datum distribution is used to implement with shared submodule and is shared.
Furthermore, the driving layer module is made of data-acquisition submodule and data-pushing submodule, the number
The acquisition method of Unified Form is abstracted according to acquisition submodule, for the different data sources in equipment layer module, according to corresponding
From each data source gathered data, the data-pushing submodule is used to transfer data to target database for driving.
Furthermore, the Data Migration interface adapter framework uses centralized deployment, and the centralized deployment is
Management layer module, data-acquisition submodule and data-pushing submodule are deployed on same station point server by finger, management level
Module command data acquires submodule slave device layer mould different data sources gathered data in the block, and passes through data-pushing submodule
It will be in the Data Migration to target database of acquisition.
Furthermore, the Data Migration interface adapter framework uses distributed deployment, and the distributed deployment is
Refer to and Data Migration interface adapter substation server and Data Migration interface adapter main website server, wherein data are set respectively
Migrate interface adapter substation server disposition data-acquisition submodule and the management level mould of Data Migration interface adapter substation
The pipe of block, Data Migration interface adapter main website server deployment data-pushing submodule and Data Migration interface adapter main website
Layer module is managed, the management layer module command data acquisition submodule slave device layer mould of Data Migration interface adapter substation is in the block
The data of acquisition are simultaneously transmitted to Data Migration interface adapter main website, Data Migration interface adaptation by different data sources gathered data
The management layer module management Data Migration interface adapter substation of device main website simultaneously receives the transmission of Data Migration interface adapter substation
Data, by will be in Data Migration to target database by data-pushing submodule after data summarization.
Beneficial effects of the present invention are as follows：The present invention realizes a kind of general migrating technology scheme of time series data, can
A general purpose, highly reliable and high performance distributed data acquisition, Data Migration support system are provided for time series database,
And as the main access way of its business datum.The present invention greatly reduces human factor in data migration process, and
And online data migration can be carried out, and it can ensure the operation of existing production system, it is versatile, support the number of various ways
According to migration.
Description of the drawings
Fig. 1 is the schematic diagram of the HIA frameworks of the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to embodiment and with reference to attached drawing.
Embodiment 1：
One embodiment of the present of invention discloses a kind of quick migration method of general time series data.
The present embodiment uses Data Migration interface adapter（HighSoon Interface Adaptor, HIA）Framework is complete
Into the fast transferring of time series data.As shown in Figure 1, HIA frameworks include management layer module（Transmission Layer）, driving
Layer module（Driver Layer）And equipment layer module（Device Layer）.
Management layer module（Transmission Layer）It is mainly used for management driving layer, controls service logic, commander drives
Dynamic layer module carries out Data Migration, and submodule is safeguarded by metadata management（Tracker）, distributed coordination Attendant sub-module（Fig. 1
It is middle to be realized using ZooKeeper）And submodule is distributed and shared to business datum（Transmission）Composition.
Tracker is the center that metadata management is safeguarded, such as management and configuration to communication link, the pipe of correspondence
Reason and configuration, communication link import and export, and correspondence imports and exports, inquiry of correspondence global property etc..
ZooKeeper controls for the coordination of distributed deployment, and ZooKeeper is a distributed coordination service, can
The control to entity component each in system is used to implement, each entity, such as communication link, driving and station services are monitored and controlled
Device etc..It provides the NameSpace of a layering, similar to the file system of standard.
Transmission is business datum distribution and shared center, can realize real-time Data Transmission, historical data,
The demands such as system business misarrangement and business datum caching.
Drive layer module（Driver Layer）For being directed to equipment layer module（Device Layer）In different data
Source carries out Data Migration, by data-acquisition submodule（Pull-Only）With data-pushing submodule（Push-Only）Composition.Number
According to acquisition submodule（Pull-Only）The acquisition method of Unified Form is abstracted, for equipment layer module（Device Layer）
In different data sources, according to corresponding driving（That is Pulling-Driver, as in Fig. 1 HS Driver, PI Driver,
EDNA Driver etc.）From each data source gathered data.Data-pushing submodule（Push-Only）By driving accordingly
（Pushing-Driver）Target database is transferred data to, in Fig. 1, passes through the driving HS of target database
Driver transfers data to target database.
Equipment layer module（Device Layer）It is made of different data sources, for providing the data source of migration.This
A little data sources are all known data sources, as in Fig. 1 HS Server, PI Server, eDNA Server, HDB Server,
OpenPlant Server etc..HIA supports diversified data source, by Pull-Only from data source gathered data, then by
Push-Only transfers data to target database.
There are two types of deployment modes for HIA tools, are centralized deployment and distributed deployment respectively.
Centralized deployment refers to, the management layer module of HIA, data-acquisition submodule and data-pushing submodule are deployed in
On same station point server, as HIA servers.Management layer module command data acquires submodule and connects from HIA servers
Different data sources in the equipment layer module connect（These data sources are installed respectively on respective server, by communicating accordingly
Link is connect with HIA servers）Gathered data, and pass through data-pushing submodule and service the Data Migration of acquisition to HIA
The target database of device connection（Target database is mounted on its server, is connected by corresponding communication link and HIA servers
It connects）In.Meanwhile a client is can configure, with HIA server communications, UI interfaces are provided, HIA servers are managed.
Distributed deployment refers to, sets HIA substation servers and HIA main website servers, wherein HIA substations server respectively
Dispose the management layer module of data-acquisition submodule and HIA substations, HIA main website servers deployment data-pushing submodule and HIA
The management layer module of main website.HIA substations server can have more, and management layer module command data acquires submodule and connects from it
Different data sources in the equipment layer module connect（These data sources are installed respectively on respective server, by communicating accordingly
Link is connect with HIA substations server）Gathered data, and the data of acquisition are transmitted to HIA main website servers.HIA main websites
Management layer module manages each HIA substations, and receives the data of HIA substations transmission, will pass through data-pushing submodule after data summarization
Block is by Data Migration to target database（Target database is mounted on its server, passes through corresponding communication link and HIA master
Site server connects）In.Meanwhile can each client of corresponding configuration, communicate with HIA substations or main website server, UI interfaces be provided
HIA substations or main website server are managed.
As known from the above, HIA frameworks substantially constitute a kind of pull-push model（Push & Pull Model）.The model is
Communication link is abstracted, is a kind of distribution model of data.In HIA, data are constantly distributed, from storage service data
Place to the place for sending out request of data.HIA data distribution behaviors can be described from two dimensions：Distribution mode and frequency.
The pattern of distribution is divided into three classes：1）Pull-Only patterns drive and data are extracted from data source, and are responsible for number
According to the standard data format for translating into HIA（As data are made of markers+numerical value）, business datum is uploaded to the industry based on HIA
Business data transmission network.2）Push-Only patterns drive from the business data transmission network based on HIA and download related service number
According to, and data-pushing to purpose database.3）Generic patterns, i.e. common-mode, can not only isolate evidence from data source, but also
Propelling data is to data destination.
There are three types of typical frequency measurements, classify available for the regularity to data distribution.They are periodically
, it is conditional, it is interim or irregular.In periodic distribution behavior, data are sent out from source at regular intervals
It is sent to destination end.The time interval can be by system default or by the client of HIA by user's specified sample period.There is item
In part, interim or irregular behavior, the transmission of data is controlled by the service logic in driving.
The quick migration method of the general time series data of the present embodiment is as follows：
Step 1：HIA creates Data Migration channel, configuration data source information（Such as IP, port, collection period, data type）,
Target database information is configured（Such as Instance Name, IP, port）.It, will be in configuration information filing to cache file after configuration.
Step 2：Measuring point arrangement.The measuring point mapping relations of disposition data source and target database（As measuring point name, description,
Location）.After configuration, file is written into mapping relations.
Step 3：Log-on data migrating channels, the data in monitoring data migrating channels, while HIA passes through data acquisition
Module（Pull-Only）Start data acquisition, collected data flow into Data Migration channel first.When in Data Migration channel
Have that data flow is fashionable, data are pressed into data-message queue, waiting stream handle thread is handled.Stream handle thread can
It is multiple to have, to meet the needs of data mass-sending.
Step 4：Stream handle thread real-time monitoring data message queue, when data-message queue is not empty, at flowing water
Lineation journey is started to work, and data are handled by corresponding data processing method, such as type conversion, snapshot crawl etc.,
Then pass through data-pushing submodule under the commander of HIA（Push-Only）Data are transferred to target database.
Step 5：Iteration performs step 3-4, completes the real-time acquisition of data and migration work.
Although the present invention has been described by way of example and in terms of the preferred embodiments, embodiment is not for limiting the present invention's.Not
It is detached from the spirit and scope of the present invention, any equivalence changes done or retouching, also belongs to the protection domain of the present invention.Cause
This protection scope of the present invention should be using the content that claims hereof is defined as standard.
Claims (6)
1. a kind of quick migration method of general time series data, which is characterized in that include the following steps：
1）Create Data Migration channel, configuration data source information and target database information；
2）The measuring point mapping relations of disposition data source and target database；
3）Log-on data migrating channels, the data in monitoring data migrating channels start data acquisition, and collected data flow into
Into Data Migration channel, data flow is fashionable when having in Data Migration channel, and data are pressed into data-message queue, waiting stream
Processor thread is handled；
4）Stream handle thread real-time monitoring data message queue, when data-message queue is not empty, stream treatment thread is opened
Beginning work handles data using corresponding data processing method, and data is transferred to target database；
5）Iteration performs step 3）With step 4）, complete the real-time acquisition of data and migration work.
2. according to the quick migration method of the general time series data described in claim 1, which is characterized in that moved using data
Transposing mouth adapter architecture completes the fast transferring of time series data, and the Data Migration interface adapter framework includes management level mould
Block, driving layer module and equipment layer module, wherein：
The management layer module controls service logic, commander's driving layer module carries out Data Migration for managing driving layer module；
The driving layer module is used to carry out Data Migration for the different data sources in equipment layer module；
The equipment layer module is made of different data sources, for providing the data source of migration.
3. according to the quick migration method of the general time series data described in claim 2, it is characterised in that：The management level
Module safeguards that submodule group is distributed and shared to submodule, distributed coordination Attendant sub-module and business datum by metadata management
Into the metadata management safeguards management and configuration, the management of correspondence and configuration, communication of the submodule for communication link
The the importing and exporting of link, correspondence import and export and the inquiry of correspondence global property, the distributed coordination clothes
Business submodule controls for the coordination of distributed deployment, and the business datum, which distributes and shares submodule, is used to implement business datum
Distribute and shared.
4. according to the quick migration method of the general time series data described in claim 3, it is characterised in that：The driving layer
Module is made of data-acquisition submodule and data-pushing submodule, and the data-acquisition submodule has been abstracted adopting for Unified Form
Diversity method for the different data sources in equipment layer module, is driven according to corresponding from each data source gathered data, the data
Push submodule is used to transfer data to target database.
5. according to the quick migration method of the general time series data described in claim 4, it is characterised in that：The data are moved
Transposing mouth adapter architecture uses centralized deployment, and the centralized deployment refers to management layer module, data-acquisition submodule
It is deployed on same station point server with data-pushing submodule, management layer module command data acquisition submodule slave device layer
Mould different data sources gathered data in the block, and pass through data-pushing submodule by the Data Migration of acquisition to target database
In.
6. according to the quick migration method of the general time series data described in claim 4, it is characterised in that：The data are moved
Transposing mouth adapter architecture uses distributed deployment, and the distributed deployment refers to set Data Migration interface adapter respectively
Site server and Data Migration interface adapter main website server, wherein Data Migration interface adapter substation server disposition number
According to acquisition submodule and the management layer module of Data Migration interface adapter substation, Data Migration interface adapter main website server
Dispose the management layer module of data-pushing submodule and Data Migration interface adapter main website, Data Migration interface adapter substation
Management layer module command data acquisition submodule slave device layer mould different data sources gathered data in the block and by the number of acquisition
According to Data Migration interface adapter main website is transmitted to, the management layer module of Data Migration interface adapter main website manages Data Migration
Interface adapter substation and the data for receiving the transmission of Data Migration interface adapter substation, will pass through data-pushing after data summarization
Submodule will be in Data Migration to target database.
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| CN110502469A (en) * | 2019-08-29 | 2019-11-26 | 上海燧原智能科技有限公司 | A kind of data distributing method, device, equipment and storage medium |
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Application publication date: 20180629 |