CN105930381A - Global Argo data storage and update method based on mixed database architecture - Google Patents
Global Argo data storage and update method based on mixed database architecture Download PDFInfo
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- CN105930381A CN105930381A CN201610230748.XA CN201610230748A CN105930381A CN 105930381 A CN105930381 A CN 105930381A CN 201610230748 A CN201610230748 A CN 201610230748A CN 105930381 A CN105930381 A CN 105930381A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- 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
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a global Argo data storage and update method based on mixed database architecture. The method comprises following steps: 1) a data monitor monitors an assigned directory, and new Argo data files are forwarded to a data server; 2) a data classifier classifies the Argo data files collected in the data server into three classes according to file formats; 3) a data controller checks that whether the database contains current data and checks that whether the data files are complete or not; 4) a data extractor extracts related metadata and data blocks from the data files; 5) a data input module uploads unstructured data blocks to a HDFS distributed storage system; 6) a data filing module performs filing on the input data to form log files. According to the global Argo data storage and update method based on mixed database architecture, data files of different classes in the global Argo data are integrated into one database platform to be stored and updated; efficient and flexibly extensible storage and update solution scheme is provided for the global Argo data.
Description
Technical field
The present invention relates to data storage and update method field, particularly relate to a kind of based on hybrid database framework
Global Argo data storage and update method.
Background technology
Whole world Argo plan is in 1998 by the U.S., the air of state, the Marine Sciences man such as French and Japanese
The global oceanographic observation plan released, it is intended to collect global ocean upper strata quickly, accurately, on a large scale
Sea water temperature and salinity profiles data, to improve the precision of climatic prediction, the gas that effectively the defence whole world is the most serious
Wait the threat that disaster (such as hurricane, tornado, typhoon, ice storm, flood and arid etc.) causes to the mankind.
Since 15 years, the Argo buoy quantity that various countries lay at global ocean, more than 12,000, accumulative obtains
About 1,500,000 temperature and salinity profiles, define huge global Argo data ocean.
Along with being constantly incremented by of whole world Argo data volume, and owing to Argo data exist multi-source heterogeneous, dynamic
The characteristic such as multidimensional and magnanimity, the whole world efficient storage of Argo data and renewal always be one challenging
A difficult problem.Argo data store as mainly storing form using file at present, to crude initial data
Extract and sorter is difficult to, be also unfavorable for further data mining, it is impossible to coupling currently increases day by day
Long Argo data ocean.All kinds of Argo data that long term accumulation gets off are stored in the most isolated difference
Place, it is impossible to carry out effective collaborative work, the renewal of data also cannot be accomplished the most ageing.Therefore,
By different types of whole world Argo data unification to same database platform storing and updating, become
The urgent needs of scientific research business.
Summary of the invention
It is an object of the invention to the problem for overcoming prior art to exist, it is provided that a kind of based on hybrid database frame
The global Argo data storage of structure and update method.
Global Argo data based on hybrid database framework storage and update method, its step is as follows:
1) data monitor monitors assigned catalogue on teledata main frame, once has new Argo data literary composition
Part generates, then by data file forwarding to data server；
2) the Argo data file being summarised on data server is divided into by data sorter according to file format
Whole world Argo buoy metadata, whole world Argo buoy observation cross-sectional data and whole world Argo gridded data produce
Three classifications of product；
3) whether recording controller exists current data in checking data base, and whether checks content data file
Completely；
4) data extractor extracts relevant metadata and data block from data file；
5) non-structured data block is uploaded to HDFS distributed memory system by data loading module, will knot
The metadata record of structure is in PostgreSQL relevant database, and sets up between data block and metadata
Index；
6) data that warehouse-in completes are filed by data filing module, form journal file.
Described step 1) particularly as follows: data monitor is a module residing on data server, it
Thread can be periodically turned on, for connecting each teledata main frame that whole world Argo data are relevant, and lead to
Cross daily record document judges whether there is new Argo data genaration on assigned catalogue, once have new file generated, then
By on this data file forwarding to data server, and record in daily record document.
Described step 2) particularly as follows: the data sorter Argo data literary composition to being summarised on data server
Part is classified, and DAT file format is whole world Argo buoy metadata, and NetCDF file format is complete
Ball Argo buoy observation cross-sectional data, PNG file format for the whole world Argo gridded data product, by
This three class file is divided into respective data center by this.
Described step 3) particularly as follows: recording controller according to file name from PostgreSQL relationship type number
Whether there is this data file according to storehouse is inquired about, and judge that this data file is the most complete according to file size,
If meeting, to there is not this data file and data file in data base complete, then can be identified as new data file,
Can put in storage.
Described step 4) particularly as follows: data extractor is from whole world Argo buoy meta data file, whole world Argo
Buoy observation cross-sectional data file and whole world Argo gridded data product extract the metadata of correspondence respectively,
Extract blocks of data from whole world Argo buoy observation cross-sectional data file and be converted to JSON formatted file simultaneously.
Described step 5) specifically include following sub-step:
5.1) data loading module is by step 4) in the structurized metadata record that extracts arrive
In PostgreSQL relevant database, it is mainly stored in buoy metadata table, buoy observation cross-sectional data letter
Breath table and this three classes table of buoy gridded data product information table, wherein buoy metadata table is used for storing all
The metadata information of Argo buoy, the technical parameter of the most each Argo buoy, including WMO numbering, platform
Number, transmission system, signal transmission repetitive rate, alignment system, manufacturer, section sample direction, sensor
Information and cyclical information etc.；Buoy observation cross-sectional data information table is used for storing the relevant letter of all observation sections
Breath, for improve search efficiency, this table by year divides multilist store, mainly include buoy ID, WMO number,
Section period, profiling observation direction, date and longitude and latitude etc.；Buoy gridded data product information table
For storing all gridded data product related informations, mainly include product category, product date, product
Scope etc.；
5.2) non-structured JSON and PNG file data blocks is uploaded to HDFS and divides by data loading module
Cloth storage system, and on multiple physical nodes, complete storage and redundancy backup, its data block access path
Leave on the host node of cluster；
5.3) data loading module is deposited unified for metadata information corresponding with to it for data block access path simultaneously
Storage, in PostgreSQL relevant database, sets up the index between data block and metadata with this, it is achieved
Whole world Argo data are deposited in the mixing of HDFS distributed memory system and PostgreSQL relevant database
Storage.
Described step 6), particularly as follows: the data that warehouse-in is completed by data filing module are filed, with day be
Unit, forms journal file respectively according to three classifications of whole world Argo data.
The present invention compared with prior art has the beneficial effect that
1) instant invention overcomes current file storage mode and single-relation type data base cannot work in coordination with storage and have
The deficiency that effect updates, puts down unified for different types of data file in the Argo data of the whole world to same data base
Platform stores and updates, for whole world Argo data provide a kind of efficient, can the storage of flexible expansion
With more new solution.
2) unstructured data during the present invention utilizes HDFS storage whole world Argo data, by each data
Block copies to, on the multiple nodes in cluster, improve the fault-tolerance of data, it is possible to dynamically add or remove
Node, it is ensured that the extensibility of data, efficient access and quick renewal for whole world Argo data provide
Basic guarantee.
Accompanying drawing explanation
Fig. 1 is the flow chart of global Argo data based on hybrid database framework storage and update method；
Fig. 2 is hybrid database Organization Chart.
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention it is further elaborated and illustrates.The skill of each embodiment in the present invention
Art feature, on the premise of not colliding with each other, all can carry out respective combination.
As it is shown in figure 1, the storage of a kind of global Argo data based on hybrid database framework and update method,
Its step is as follows:
1) data monitor monitors assigned catalogue on teledata main frame, once has new Argo data literary composition
Part generates, then by data file forwarding to data server.Particularly as follows:
Data monitor is a module residing on data server, and it can be periodically turned on thread,
For connecting each teledata main frame that whole world Argo data are relevant, and judge to specify mesh by daily record document
Whether there is new Argo data genaration in record, once have new file generated, then by this data file forwarding to number
According on server, and record in daily record document.
2) the Argo data file being summarised on data server is divided into by data sorter according to file format
Whole world Argo buoy metadata, whole world Argo buoy observation cross-sectional data and whole world Argo gridded data produce
Three classifications of product.Particularly as follows:
The Argo data file being summarised on data server is classified by data sorter, DAT tray
Formula be the whole world Argo buoy metadata, NetCDF file format for the whole world Argo buoy observation cross-sectional data,
PNG file format for the whole world Argo gridded data product, thus this three class file is divided into respective
Data center.
3) whether recording controller exists current data in checking data base, and whether checks content data file
Completely.Particularly as follows:
Recording controller inquires about whether there is this number according to file name from PostgreSQL relevant database
According to file, and judging that this data file is the most complete according to file size, there is not this if meeting in data base
Data file and data file are complete, then can be identified as new data file, can put in storage；Otherwise can not enter
Storehouse.The most predeterminable reduced value, is used for judging that data file is the most complete.Reduced value can be according at present
The standard of international Argo file is determined, and normal section file size is all 38KB.
4) data extractor extracts relevant metadata and data block from data file.Particularly as follows:
Data extractor is from whole world Argo buoy meta data file, whole world Argo buoy observation cross-sectional data literary composition
Part and whole world Argo gridded data product extract the metadata of correspondence respectively, floats from whole world Argo simultaneously
Mark observation cross-sectional data file extracts blocks of data and is converted to JSON formatted file.
5) non-structured data block is uploaded to HDFS distributed memory system by data loading module, will knot
The metadata record of structure is in PostgreSQL relevant database, and sets up between data block and metadata
Index.Particularly as follows:
5.1) data loading module is by step 4) in the structurized metadata record that extracts arrive
In PostgreSQL relevant database, it is mainly stored in buoy metadata table, buoy observation cross-sectional data letter
Breath table and this three classes table of buoy gridded data product information table, wherein buoy metadata table is used for storing all
The metadata information of Argo buoy, the technical parameter of the most each Argo buoy, including WMO numbering, platform
Number, transmission system, signal transmission repetitive rate, alignment system, manufacturer, section sample direction, sensor
Information and cyclical information etc.；Buoy observation cross-sectional data information table is used for storing the relevant letter of all observation sections
Breath, for improve search efficiency, this table by year divides multilist store, mainly include buoy ID, WMO number,
Section period, profiling observation direction, date and longitude and latitude etc.；Buoy gridded data product information table
For storing all gridded data product related informations, mainly include product category, product date, product
Scope etc.；
5.2) data loading module is by non-structured JSON and PNG file data blocks (the most aforementioned " JSON
Formatted file " and " PNG file format for the whole world Argo gridded data product ") upload to HDFS and divide
Cloth storage system, and on multiple physical nodes, complete storage and redundancy backup, its data block access path
Leave on the host node of cluster；
5.3) data loading module is deposited unified for metadata information corresponding with to it for data block access path simultaneously
Storage, in PostgreSQL relevant database, sets up the index between data block and metadata with this, it is achieved
Whole world Argo data are deposited in the mixing of HDFS distributed memory system and PostgreSQL relevant database
Storage.
6) data that warehouse-in completes are filed by data filing module, in units of day, according to whole world Argo
Three classifications of data form journal file respectively.
Being further elaborated the present invention with embodiment below, the operating procedure of embodiment is consistent with said method,
The most for purpose of brevity, part steps does not illustrates.
Embodiment
1) data monitor (ftp: //ftp.argo.org.cn/pub/ARGO) on teledata main frame is monitored and is referred to
Determine catalogue, once have new Argo Generating Data File, such as listen to new data file
1900726_285.nc, then by this data file forwarding to data server；
2) data sorter by Argo data file 1900726_285.nc that is summarised on data server by
It is judged as whole world Argo buoy observation cross-sectional data according to file format, this file is transferred in the data of correspondence
The heart；
3) recording controller checks whether PostgreSQL relevant database exists current data, if not existing,
Then can be identified as new data file, and judge that this content data file is the most complete according to file size, if should
File size is 38KB, it is determined that this document content intact；
4) data extractor extracts relevant metadata and data block from 1900726_285.nc data file,
Content metadata includes that WMO is numbered 1900726, platform number is 39506, transmission system is ARGOS,
Alignment system is ARGOS, manufacturer is Webb, cycle period is 285, latitude and longitude information is 25.761 ° of south latitude
The relevant informations such as 115.159 ° of west longitude；Data block contents then specifically observes profile information for extract, and changes
For JSON formatted file 1900726_285.json；
5) non-structured 1900726_285.json file is uploaded to by data loading module as data block
HDFS distributed memory system, is saved in each back end, structurized metadata record is arrived
Buoy observation cross-sectional data information table in PostgreSQL relevant database, accesses road by data block simultaneously
The footpath metadata information corresponding with to it is unified to be stored in PostgreSQL relevant database, sets up with this
Index between data block and metadata, the most as shown in Figure 2；
6) data that warehouse-in completes are filed by data filing module, form journal file.
Embodiments described above is the one preferably scheme of the present invention, so itself and be not used to limit this
Invention.About the those of ordinary skill of technical field, without departing from the spirit and scope of the present invention,
Can also make a variety of changes and modification.The most all modes taking equivalent or equivalent transformation are obtained
Technical scheme, all falls within protection scope of the present invention.
Claims (7)
1. global Argo data based on hybrid database framework storage and a update method,
It is characterized in that its step is as follows:
1) data monitor monitors assigned catalogue on teledata main frame, once has new Argo
Generating Data File, then by data file forwarding to data server；
2) data sorter by the Argo data file that is summarised on data server according to file
Form is divided into whole world Argo buoy metadata, whole world Argo buoy observation cross-sectional data and the whole world
Three classifications of Argo gridded data product；
3) whether recording controller exists current data in checking data base, and checks data literary composition
Part content is the most complete；
4) data extractor extracts relevant metadata and data block from data file；
5) non-structured data block is uploaded to HDFS distributed storage by data loading module
System, by structurized metadata record to PostgreSQL relevant database, and builds
Vertical index between data block and metadata；
6) data that warehouse-in completes are filed by data filing module, form journal file.
A kind of global Argo based on hybrid database framework the most according to claim 1
Data storage and update method, it is characterised in that described step 1) be: data monitor is
One resides in the module on data server, and it can be periodically turned on thread, is used for connecting
Each teledata main frame that whole world Argo data are relevant, and judge to specify by daily record document
Whether there is new Argo data genaration in catalogue, once have new file generated, then by these data
File is forwarded on data server, and records in daily record document.
A kind of global Argo based on hybrid database framework the most according to claim 1
Data storage and update method, it is characterised in that described step 2) be: data sorter pair
The Argo data file being summarised on data server is classified, and DAT file format is complete
Ball Argo buoy metadata, NetCDF file format for the whole world Argo buoy observation section
Data, PNG file format for the whole world Argo gridded data product, thus by this three class
File is divided into respective data center.
A kind of global Argo based on hybrid database framework the most according to claim 1
Data storage and update method, it is characterised in that described step 3) be: recording controller root
From PostgreSQL relevant database, inquire about whether there is this data file according to file name,
And judge that this data file is the most complete according to file size, there is not this if meeting in data base
Data file and data file are complete, then can be identified as new data file, can put in storage.
A kind of global Argo based on hybrid database framework the most according to claim 1
Data storage and update method, it is characterised in that described step 4) be: data extractor from
Whole world Argo buoy meta data file, whole world Argo buoy observation cross-sectional data file and the whole world
Argo gridded data product extracts the metadata of correspondence respectively, floats from whole world Argo simultaneously
Mark observation cross-sectional data file extracts blocks of data and is converted to JSON formatted file.
A kind of global Argo based on hybrid database framework the most according to claim 1
Data storage and update method, it is characterised in that described step 5) be:
5.1) data loading module is by step 4) in the structurized metadata record that extracts
In PostgreSQL relevant database, it is mainly stored in buoy metadata table, buoy sight
Survey cross-sectional data information table and this three classes table of buoy gridded data product information table, wherein buoy
Metadata table is used for storing the metadata information of all Argo buoys, the most each Argo buoy
Technical parameter, including WMO numbering, platform number, transmission system, signal transmission repetitive rate,
Alignment system, manufacturer, section sample direction, sensor information and cyclical information；Buoy
Observation cross-sectional data information table is used for storing all observation section relevant informations, for improving inquiry effect
Rate, this table by year divides multilist to store, including buoy ID, WMO numbering, section period,
Profiling observation direction, date and longitude and latitude；Buoy gridded data product information table is used for depositing
Store up all gridded data product related informations, including product category, product date, product model
Enclose；
5.2) non-structured JSON and PNG file data blocks is uploaded by data loading module
To HDFS distributed memory system, and it is standby with redundancy to complete storage on multiple physical nodes
Part, its data block access path leaves on the host node of cluster；
5.3) data loading module is simultaneously by data block access path and the metadata corresponding to it
Information unification is stored in PostgreSQL relevant database, sets up data block and unit with this
Index between data, it is achieved whole world Argo data at HDFS distributed memory system and
The mixing storage of PostgreSQL relevant database.
A kind of global Argo based on hybrid database framework the most according to claim 1
Data storage and update method, it is characterised in that described step 6) be: data filing module
The data completed by warehouse-in are filed, in units of day, according to the three of whole world Argo data
Individual classification forms journal file respectively.
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| CN106372256A (en) * | 2016-09-30 | 2017-02-01 | 浙江大学 | Distributed storage method for massive Argo data |
| CN106372367A (en) * | 2016-09-30 | 2017-02-01 | 浙江大学 | Visual simulation method for Argo float ocean product |
| CN106599158A (en) * | 2016-12-07 | 2017-04-26 | 国家海洋局第二海洋研究所 | Quick query method of typhoon sea area Argo information based on space-time dual approximate index |
| CN107317838A (en) * | 2017-05-24 | 2017-11-03 | 重庆邮电大学 | A kind of astronomical metadata archiving method and system based on stream data processing framework |
| CN117669126A (en) * | 2023-10-11 | 2024-03-08 | 宁波麦思捷科技有限公司武汉分公司 | Large-scale buoy networking method and system for marine environment research |
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