CN107679129A - A kind of big data processing method and processing device - Google Patents
A kind of big data processing method and processing device Download PDFInfo
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- CN107679129A CN107679129A CN201710862069.9A CN201710862069A CN107679129A CN 107679129 A CN107679129 A CN 107679129A CN 201710862069 A CN201710862069 A CN 201710862069A CN 107679129 A CN107679129 A CN 107679129A
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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
- G06F16/22—Indexing; Data structures therefor; Storage structures
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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
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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Abstract
The invention discloses a kind of big data processing method and processing device, to the data shape of simple, quick, complete reflection data.This method includes：Pending target data is obtained, obtains the data shape key index pre-established, data shape key index includes the self attributes information of data, and the data shape of pending target data is determined according to the data shape key index pre-established.Above-mentioned technical proposal, the data shape of a certain partial data is reflected with key index, so as to the data shape of simple, quick, complete reflection data.
Description
Technical field
The present invention relates to big data technical field, more particularly to a kind of big data processing method and processing device.
Background technology
In existing big data table, data are very rich and varied, and data volume is huge, from ten it is tens of thousands of to it is millions of even
More than one hundred million to be all possible to, we often have such demand, it is to look like to wonder the data in certain table, is convenient for
The analysis and application of data, such as, number orlop layers modeling is the foundation stone of data analysis, how to find rubbish number when modeling
According to；During data application, if direct requirement is fetched in big data table, the requirement to data format is very strict, than
Field length, pattern such as displaying, or whether allow have null values, 1 is likely to allow without the data of processing in place
It is applied to the system crash of data；When determining data cleansing needs summation scheme, it is also necessary to which the data found out in table are probably
What；By the exception of the data in this table, for example certain field is largely 0, or certain field has more one
Enumerated value, come in discovery business, in system the problem of.
At present typically can only be by data volume, or by some service logics, some data of sampling, generally estimate table
In data shape.
The content of the invention
In view of the above problems, it is proposed that the present invention so as to provide one kind overcome above mentioned problem or at least in part solve on
State a kind of big data processing method and processing device of problem.To the data shape of simple, quick, complete reflection data.
The present invention provides a kind of big data processing method, including：
Obtain pending target data；
The data shape key index pre-established is obtained, the data shape key index includes the self attributes of data
Information；
The data shape of the pending target data is determined according to the data shape key index pre-established.
In one embodiment, methods described may also include：
The pending target data is write in a tentation data table.
In one embodiment, the data shape key index pre-established described in the basis determines described pending
The data shape of target data, it may include：
Receive the table name of the tentation data table of input；
The tentation data table is cleaned according to the data shape key index pre-established, obtained described pre-
Determine the data shape of the target data in tables of data.
In one embodiment, the data shape key index pre-established described in the basis determines described pending
The data shape of target data, may also include：
Receive the pending subregion of the preset data table of input and/or receive one or more to be calculated pieces inputted
The field of act value.
In one embodiment, the data shape key index pre-established may include but be not limited to following index
In it is one or more：
The data volume of the tentation data table, the tentation data table one or more subregions data volume, specify it is multiple
Close the number after the data volume of major key, field duplicate removal, the number that the value of field is NULL, the maximum of field value, field value
That minimum length, the result of calculation of specific field, field intermediate value are 0 in maximum length, field value in minimum value, field value
The number and whole table that the percentage and field intermediate value of the number that number, field intermediate value are 0 and the data volume of whole table are NULL
Data volume percentage.
The present invention also provides a kind of big data processing unit, including：
First acquisition module, for obtaining pending target data；
Second acquisition module, for obtaining the data shape key index pre-established, the data shape key index
Self attributes information including data；
Determining module, the data shape key index for being pre-established according to determine the pending number of targets
According to data shape.
In one embodiment, described device may also include：
Writing module, for the pending target data to be write in a tentation data table.
In one embodiment, the determining module, it may include：
First receiving submodule, the table name of the tentation data table for receiving input；
Submodule is cleaned, the data shape key index for being pre-established according to is carried out to the tentation data table
Cleaning, obtain the data shape of the target data in the tentation data table.
In one embodiment, the determining module, may also include：
Second receiving submodule, for receiving the pending subregion of the preset data table inputted and/or receiving input
One or more enumerated values to be calculated field.
In one embodiment, the data shape key index pre-established may include but be not limited to following index
In it is one or more：
The data volume of the tentation data table, the tentation data table one or more subregions data volume, specify it is multiple
Close the number after the data volume of major key, field duplicate removal, the number that the value of field is NULL, the maximum of field value, field value
That minimum length, the result of calculation of specific field, field intermediate value are 0 in maximum length, field value in minimum value, field value
The number and whole table that the percentage and field intermediate value of the number that number, field intermediate value are 0 and the data volume of whole table are NULL
Data volume percentage.
The technical scheme that embodiments of the invention provide can include the following benefits：
Above-mentioned technical proposal, by obtaining pending target data, the data shape key index pre-established is obtained,
Data shape key index includes the self attributes information of data, determines to wait to locate according to the data shape key index pre-established
The data shape of the target data of reason.Due to reflecting the data shape of a certain partial data with key index, so as to letter
The data shape of single, quick, complete reflection data.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and obtained in book, claims and accompanying drawing.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Accompanying drawing is used for providing a further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
Apply example to be used to explain the present invention together, be not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of big data processing method in the embodiment of the present invention；
Fig. 2 is the flow chart of another big data processing method in the embodiment of the present invention；
Fig. 3 is the flow chart of another big data processing method in the embodiment of the present invention；
Fig. 4 is the operating process schematic diagram of step S13 in the embodiment of the present invention；
Fig. 5 is another operating process schematic diagram of step S13 in the embodiment of the present invention；
Fig. 6 is another operating process schematic diagram of step S13 in the embodiment of the present invention；
Fig. 7 is a kind of block diagram of big data processing unit in the embodiment of the present invention.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that described herein preferred real
Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Some, which are obtained in the method for big data form, in the prior art typically two ways, the first, quick mode,
It is not comprehensive enough, for example million grades of data are, it is necessary to which how many data of sampling could fully understand whole data.Second, entirely
The mode in face, not quick succinct enough, presumable algorithm engineering teacher, Data Analyst can be with statistical knowledge come labor
Data, it is again too time-consuming like that, and have relatively strong professional, and it is not that everyone can accomplish, it is readable.Currently without it is a kind of quick,
Simply, comprehensive mode, the data understood in up to ten million or more than one hundred million tables of data are to look like.And the present invention solve it is above-mentioned
Problem, the data shape of data is reflected by the key index of data.
Fig. 1 show a kind of flow chart of big data processing method in the embodiment of the present invention, as shown in figure 1, the big data
Processing method comprises the following steps S11-S13：
Step S11, obtain pending target data.
Step S12, obtains the data shape key index pre-established, and data shape key index includes itself of data
Attribute information.
In one embodiment, the data shape key index pre-established may include but be not limited in following index
It is one or more：
The data volume of tentation data table, the data volume of one or more subregions of tentation data table, specify compound primary key
Number, the value of field after data volume, field duplicate removal are NULL number, the maximum of field value, the minimum value of field value, word
Number, the field intermediate value of minimum length, the result of calculation of specific field, field intermediate value for 0 in maximum length, field value in segment value
For 0 number and the number that the percentage and field intermediate value of the data volume of whole table are NULL and the hundred of the data volume of whole table
Divide ratio.
Data are carried out with before processing, it is necessary to define the data shape key index to be calculated, key index mainly has：
1) from the point of view of overall table
The data volume of whole table, or the data volume of a subregion.
Specify the data volume of compound primary key.
2) index that each field calculates：
Total amount after field duplicate removal：Number after this field duplicate removal
NULL total amounts：The value of this field is null number
Maximum：Seek this field value maximum, if the field (string types etc.) of nonumeric class, just according to
The logical calculated of max functions acquiescence.
Minimum value：Seek this field value maximum, if the field (string types etc.) of nonumeric class, just according to
The logical calculated of min functions acquiescence.
Maximum length：Maximum length in this field value
Maximum length is illustrated：One of field value in this field value in maximum length.
Minimum length：Minimum length in this field value
Minimum length is illustrated：One of field value in minimum length in this field value.
The calculating of field enumerated value：Specific field, for example gender fields are specified, result of calculation may be：Man：
1000；Female：20000
0 value number：This field intermediate value is 0 number.
0 value accounting：The data volume of the 0 value table of number/whole
Null value accountings：The data volume of the table of null values number/whole
Step S13, the data shape of pending target data is determined according to the data shape key index pre-established.
Data shape, just refer to after taking a table, the data inside this table all look like.Data shape is reported
It is to have polymerize the basic checkpoint to table data in fact, by the index of these data shapes, this table can be found out at a glance
Data problem.Thought more than, can quickly realize a platform, as long as user fills in some configurations with java, it is possible to
The data shape for taking target data reports.Cost of implementation is low, a GPRS basic thought, with java or sql cans
Realize quickly.
The above method of the embodiment of the present invention, by obtaining pending target data, obtain the data shape pre-established
State key index, data shape key index include the self attributes information of data, crucial according to the data shape pre-established
Index determines the data shape of pending target data.Above-mentioned technical proposal reflects a certain partial data with key index
Data shape, so as to the data shape of simple, quick, complete reflection data.
In one embodiment, as shown in Fig. 2 the big data processing method can also include the steps of S14：
Step S14, pending target data is write in a tentation data table.
In the present embodiment, pending target data is in units of table.Such as want across table, as long as or a part of data,
In the table that just pending data write-in is specified.Be exactly in a word by pending target data, be placed in a tables of data from
And it is easy to analyze data, handles.
In one embodiment, as shown in figure 3, step S13 may include following steps S131-S132：
Step S131, receive the table name of the tentation data table of input；
Step S132, tentation data table is cleaned according to the data shape key index pre-established, made a reservation for
The data shape of target data in tables of data.
Step S13 can also include the steps of S133：
Step S133, the pending subregion for receiving the preset data table of input and/or the one or more for receiving input are treated
Calculate the field of enumerated value.
Step S13 operating process is：As shown in figure 4, newly-built task, corresponding information is filled out according to prompting.For example fill in
The field of the table name of tables of data to be analyzed, the pending subregion of preset data table and one or more enumerated values to be calculated.
After filling in, the executive button in Fig. 5 is clicked on, you can start to analyze the data in table, can be to after tasks carrying is complete
User sends notice.User can be with click logs button real time inspection tasks carrying progress.Fig. 6 show tasks carrying knot
Fruit.
Such as：Total amount after the total amount and duplicate removal of field, uniqueness verification can be carried out to major key, find duplicate data,
It can see whether total amount meets expection with reference to business；Field minimax length can verify dirty data, such as the ultra-long data of address,
Sellerid is the data of units；The ratio distribution of field enumerated value can verify the reasonability of enumerated value；Field maximum is most
Small value can combine reasonability from the point of view of business；Field null values number can combine reasonability from the point of view of business.Especially, result after cleaning
Table will be supplied to when applying directly displaying, it is necessary to meet constraint of the application system to data shape, for example certain field is not
Can be null, the length of certain field can not be long etc..
Based on same inventive concept, the embodiment of the present invention additionally provides a kind of data processing equipment, by the device is solved
Certainly the principle of problem is similar to aforementioned data processing method, therefore the implementation of the device may refer to the implementation of preceding method, weight
Multiple part repeats no more.
Fig. 7 show a kind of block diagram of big data processing unit in the embodiment of the present invention, as shown in fig. 7, at the big data
Reason device includes：
First acquisition module 71, for obtaining pending target data；
Second acquisition module 72, for obtaining the data shape key index pre-established, data shape key index bag
Include the self attributes information of data；
Determining module 73, for determining the number of pending target data according to the data shape key index pre-established
According to form.
The said apparatus of the embodiment of the present invention, by obtaining pending target data, obtain the data shape pre-established
State key index, data shape key index include the self attributes information of data, crucial according to the data shape pre-established
Index determines the data shape of pending target data.Above-mentioned technical proposal reflects a certain partial data with key index
Data shape, so as to the data shape of simple, quick, complete reflection data.
In one embodiment, the big data processing unit may also include：
Writing module, for pending target data to be write in a tentation data table.
In one embodiment, determining module, it may include：
First receiving submodule, the table name of the tentation data table for receiving input；
Submodule is cleaned, for being cleaned according to the data shape key index pre-established to tentation data table, is obtained
Obtain the data shape of the target data in tentation data table.
In one embodiment, determining module, may also include：
Second receiving submodule, one inputted for the pending subregion of the preset data table of reception input and/or reception
The field of individual or multiple enumerated values to be calculated.
In one embodiment, the data shape key index pre-established may include but be not limited in following index
It is one or more：
The data volume of tentation data table, the data volume of one or more subregions of tentation data table, specify compound primary key
Number, the value of field after data volume, field duplicate removal are NULL number, the maximum of field value, the minimum value of field value, word
Number, the field intermediate value of minimum length, the result of calculation of specific field, field intermediate value for 0 in maximum length, field value in segment value
For 0 number and the number that the percentage and field intermediate value of the data volume of whole table are NULL and the hundred of the data volume of whole table
Divide ratio.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more
The shape for the computer program product that usable storage medium is implemented on (including but is not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (10)
- A kind of 1. big data processing method, it is characterised in that including：Obtain pending target data；The data shape key index pre-established is obtained, the self attributes that the data shape key index includes data are believed Breath；The data shape of the pending target data is determined according to the data shape key index pre-established.
- 2. the method as described in claim 1, it is characterised in that methods described also includes：The pending target data is write in a tentation data table.
- 3. method as claimed in claim 2, it is characterised in that the data shape key index pre-established described in the basis The data shape of the pending target data is determined, including：Receive the table name of the tentation data table of input；The tentation data table is cleaned according to the data shape key index pre-established, obtains the predetermined number According to the data shape of the target data in table.
- 4. method as claimed in claim 3, it is characterised in that the data shape key index pre-established described in the basis The data shape of the pending target data is determined, in addition to：Receive the pending subregion of the preset data table of input and/or receive one or more enumerated values to be calculated of input Field.
- 5. method as claimed in claim 2, it is characterised in that the data shape key index pre-established includes following It is one or more in index：The data volume of the tentation data table, the tentation data table one or more subregions data volume, specify compound master Number, the maximum of field value, the minimum of field value that number, the value of field after the data volume of key, field duplicate removal are NULL Value, minimum length, the result of calculation of specific field, the number that field intermediate value is 0, word in maximum length, field value in field value The number and the data of whole table that the percentage and field intermediate value of the number that section intermediate value is 0 and the data volume of whole table are NULL The percentage of amount.
- A kind of 6. big data processing unit, it is characterised in that including：First acquisition module, for obtaining pending target data；Second acquisition module, for obtaining the data shape key index pre-established, the data shape key index includes The self attributes information of data；Determining module, the data shape key index for being pre-established according to determine the pending target data Data shape.
- 7. device as claimed in claim 6, it is characterised in that described device also includes：Writing module, for the pending target data to be write in a tentation data table.
- 8. device as claimed in claim 7, it is characterised in that the determining module, including：First receiving submodule, the table name of the tentation data table for receiving input；Submodule is cleaned, the data shape key index for being pre-established according to carries out clear to the tentation data table Wash, obtain the data shape of the target data in the tentation data table.
- 9. device as claimed in claim 8, it is characterised in that the determining module, in addition to：Second receiving submodule, one inputted for the pending subregion of the preset data table of reception input and/or reception The field of individual or multiple enumerated values to be calculated.
- 10. device as claimed in claim 7, it is characterised in that the data shape key index pre-established include with It is one or more in lower index：The data volume of the tentation data table, the tentation data table one or more subregions data volume, specify compound master Number, the maximum of field value, the minimum of field value that number, the value of field after the data volume of key, field duplicate removal are NULL Value, minimum length, the result of calculation of specific field, the number that field intermediate value is 0, word in maximum length, field value in field value The number and the data of whole table that the percentage and field intermediate value of the number that section intermediate value is 0 and the data volume of whole table are NULL The percentage of amount.
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| CN110162672B (en) * | 2019-05-10 | 2021-07-27 | 上海赜睿信息科技有限公司 | Data processing method and device, electronic equipment and readable storage medium |
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