CN110502541A - A kind of data processing method and electronic equipment - Google Patents
A kind of data processing method and electronic equipment Download PDFInfo
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- CN110502541A CN110502541A CN201910682560.2A CN201910682560A CN110502541A CN 110502541 A CN110502541 A CN 110502541A CN 201910682560 A CN201910682560 A CN 201910682560A CN 110502541 A CN110502541 A CN 110502541A
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- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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Abstract
The embodiment of the present application provides a kind of data processing method and electronic equipment, wherein the data processing method includes: to obtain the first time series data row collection；The statistical information that the first time series data row concentrates each time series data row is obtained, the statistical information includes at least the characteristic information of time series data row；Matched second time series data row collection is obtained according to statistical information described in the first rule-based filtering；Obtain each row data that the second time series data row is concentrated；Each row data that the second time series data row is concentrated, which are filtered, according to Second Rule obtains each row data for the third time series data row for meeting input requirements.The data processing method of the embodiment of the present application can reduce data process load of time series database when according to client requirements garbled data, improve response speed.
Description
Technical field
The invention relates to smart machine field, in particular to a kind of data processing method and electronic equipment.
Background technique
Existing time series database supports to carry out in design or not condition query based on data value (when only supporting to be based on
Between, index, the mode of tag queries)；Or it supports, but performance is bad.For example, being carried out for Hbase time series database
When data value condition query data general approach be will meet date terms specified time series data it is all defeated from HBase storage end
Value filtering, final output filter result are extremely carried out in the memory on TSDB Server out.Although but this filtering scheme can
Achieve the effect that value condition query, can carry out, cause since filter operation is not sunk to Hbase storage end by it
Hbase carries out when value condition query being full dose data query every time, so that the data processing of Hbase and TSDB Server
Pressure is very big, and efficiency is lower, is not able to satisfy the technical effect that user wishes quick search.
Apply for content
The embodiment of the present application provides a kind of time series database that can reduce when according to client requirements garbled data
Data process load improves the data processing method and electronic equipment of response speed.
In order to solve the above-mentioned technical problem, the embodiment of the present application provides a kind of data processing method, wherein includes:
Obtain the first time series data row collection；
The statistical information that the first time series data row concentrates each time series data row is obtained, the statistical information includes at least
The characteristic information of time series data row；
Matched second time series data row collection is obtained according to statistical information described in the first rule-based filtering；
Obtain each row data that the second time series data row is concentrated；
That each row data that the second time series data row is concentrated obtain meeting input requirements is filtered according to Second Rule
Each row data of three time series data rows.
Preferably, the first time series data row collection of the acquisition includes:
The first time series data row collection of the condition of satisfaction is obtained from time series database according to input instruction.
Preferably, further include:
Characteristic statistics are carried out to each time series data row in time series database；
Matching stores corresponding statistical data and the first identifier data for representing time series data row.
Preferably, each time series data row progress characteristic statistics in time series database include:
The characteristic statistics information of time series data row is created while compressing to time series data row.
Preferably, the matching stores corresponding statistical data and the first identifier data for representing time series data row
Include:
The characteristic statistics information is individually stored, at the same with the first identifier data correlation；
Wherein, the second identifier data of the characteristic statistics information of the time series data row and the first identifier data phase
Together.
Preferably, the statistical information according to the first rule-based filtering obtains matchingly the second time series data row Ji Bao
It includes:
The matchingly second identifier data set is obtained according to statistical information described in first rule-based filtering；
The first identifier data set is obtained based on the second identifier data set；
The second time series data row collection is obtained based on the first identifier data set.
The embodiment of the present invention provides a kind of electronic equipment simultaneously, comprising:
Acquisition device is used to obtain the first time series data row collection, and obtains the first time series data row and concentrate respectively
The statistical information of time series data row, the statistical information include at least the characteristic information of time series data row；
Processing unit is used for the statistical information according to the first rule-based filtering and obtains the second time series data row collection of matching,
Each row data that the second time series data row is concentrated are obtained, filter what the second time series data row was concentrated according to Second Rule
Each row data obtain each row data for the third time series data row for meeting input requirements.
Preferably, the acquisition device is also used to:
According to the first time series data row collection for obtaining the condition that meets in input instruction sequencing database.
Preferably, the processing unit is also used to:
Characteristic statistics are carried out to each time series data row in time series database；
Matching stores corresponding statistical data and the first identifier data for representing time series data row.
Preferably, the processing unit is also used to:
Time series data row is compressed, the characteristic statistics information of time series data row is created.
Disclosure based on the above embodiment can know that the beneficial effect of the embodiment of the present application will only meet according to data value
It is required that data line collection be input in such as TSDB Server progress data screening, filtering, to obtain meeting the number of user's requirement
According to collection, the data volume of database output is so greatly reduced, while reducing the calculation amount of such as TSDB Server, it is whole
The efficiency for carrying out temporal queries according to data value is improved, user is met and is intended to quickly obtain the requirement of query result.
Detailed description of the invention
Fig. 1 is the flow chart of the data processing method in the embodiment of the present application.
Fig. 2 is the application another flow chart for applying the data processing method in example in fact.
Fig. 3 is the structural block diagram of the electronic equipment in the embodiment of the present application.
Specific embodiment
In the following, being described in detail in conjunction with specific embodiment of the attached drawing to the application, but not as the restriction of the application.
It should be understood that various modifications can be made to disclosed embodiments.Therefore, following description should not regard
To limit, and only as the example of embodiment.Those skilled in the art will expect within the scope and spirit of this
Other modifications.
The attached drawing being included in the description and forms part of the description shows embodiment of the disclosure, and with it is upper
What face provided is used to explain the disclosure together to substantially description and the detailed description given below to embodiment of the disclosure
Principle.
By the description of the preferred form with reference to the accompanying drawings to the embodiment for being given as non-limiting example, the application's
These and other characteristic will become apparent.
It is also understood that although the application is described referring to some specific examples, those skilled in the art
Member realizes many other equivalents of the application in which can determine, they have feature as claimed in claim and therefore all
In the protection scope defined by whereby.
When read in conjunction with the accompanying drawings, in view of following detailed description, above and other aspect, the feature and advantage of the disclosure will become
It is more readily apparent.
The specific embodiment of the disclosure is described hereinafter with reference to attached drawing；It will be appreciated, however, that the disclosed embodiments are only
Various ways implementation can be used in the example of the disclosure.Known and/or duplicate function and structure and be not described in detail to avoid
Unnecessary or extra details makes the disclosure smudgy.Therefore, specific structural and functionality disclosed herein is thin
Section is not intended to restrictions, but as just the basis of claim and representative basis be used to instructing those skilled in the art with
Substantially any appropriate detailed construction diversely uses the disclosure.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment
In " or " in other embodiments ", it can be referred to one or more of the identical or different embodiment according to the disclosure.
In the following, the embodiment of the present application is described in detail in conjunction with attached drawing.
As shown in Figure 1, the embodiment of the present application provides a kind of data processing method, wherein include:
Obtain the first time series data row collection；
The statistical information that the first time series data row concentrates each time series data row is obtained, statistical information includes at least time series data
Capable characteristic information；
Matched second time series data row collection is obtained according to the first rule-based filtering statistical information；
Obtain each row data of the second time series data row concentration；
When obtaining the third for meeting input requirements according to each row data that Second Rule filters the second time series data row concentration
Each row data of sequence data line.
The beneficial effect of the embodiment of the present application is only to be input to the data line collection met the requirements for example according to data value
Data screening is carried out in TSDB Server, filtering so greatly reduces data to obtain meeting the data set of user's requirement
The data volume of library output, while the calculation amount of such as TSDB Server is reduced, it integrally improves and timing is carried out according to data value
The efficiency of inquiry meets user and is intended to quickly obtain the requirement of query result.
For example, obtaining the first time series data row collection first, the acquisition pattern of the first time series data row collection is not unique, can be by
System is calculated self by database and is obtained, and can also be input in system and be obtained by third party.Obtain this first when ordinal number
After row collection, just it is parsed, to obtain the statistical information of each time series data row, ordinal number when which includes at least
According to capable characteristic information, the information of content, keyword for example including characterization the row data etc., at least this feature information need to be with number
Have according to row and correspond, the and feature of uniqueness has each characteristic information and only spy corresponding with a data line
Property.Later, system is based only upon the filtering that the statistical information carries out the first rule, makes to filter out the statistics letter for meeting the first rule
Breath then determines unique corresponding data line by the statistical information again, finally determines corresponding each row data by the data line, i.e.,
Determine to meet each time series data in each data line of condition.Finally, again accordingly and Second Rule based on each line number, determining
It meets the requirements out, such as meets each row data of user's requirement.When concrete application, above-mentioned acquisition the first time series data row collection with
And determine that the executing subject of each row data that the second time series data row is concentrated can be by system, such as Hbase database is held
Row, and the determination of subsequent each row data for third time series data row can transfer to such as TSDB Server in system to hold
Row, certainly, the restriction of each step executing subject is not unique, and above steps can also be by same executing subject, such as Hbase
Database or TSDB Server execute to execute, or by other executing subjects.
Further, include: when obtaining the first time series data row collection in the embodiment of the present application
The first time series data row collection of the condition of satisfaction is obtained from time series database according to input instruction.
For example, user wants that an instruction when inquiring time series data, can be inputted into time series database according to a data value,
Time series database is just filtered the time series data that it is stored according to the data value in the command information at this time, final to obtain
Meet the first time series data row collection of data value condition.
Further, the method in the embodiment of the present application further include:
Characteristic statistics are carried out to each time series data row in time series database；
Matching stores corresponding statistical data and the first identifier data for representing time series data row.
For example, time series database is before the instruction for not receiving user's input also, each time series data that just it is stored into
Row characteristic statistics, maximum value, minimum value, data value quantity for example including each data line, the content of data line, keyword etc.
Deng.Then matching stores corresponding statistical data and the first identifier data for representing time series data row, the first identifier number
According to that can be rowkey data (data are the data that time series database itself has) in time series database, can also be passed through for system
The identification data that can represent the time series data row that other analytical calculations obtain.In the present embodiment by by statistical data with
First identifier data are associated storage, and matching storage may make when time series database is looked into according to the data value that user inputs
When looking for, the data line where related data can be obtained, and do not include that the data line of data value can directly be ignored for other, nothing
It need to extract and carry out subsequent screening judgement, facilitate the subsequent screening to each row data to filter with this, improve the processing effect of data
Fruit.
Further, as shown in Fig. 2, carrying out characteristic statistics to each time series data row in time series database in the present embodiment
When include:
The characteristic statistics information of time series data row is created while compressing to time series data row.
It is, the time series database in the present embodiment can undergo when storing time series data and divide time series data
Row, the process compressed, and the foundation of statistical information can be during time series database carries out branch, compression to time series data
It completes, so as to improve treatment effeciency, without in addition individually being analyzed time series data to obtain its characteristic information, and then completes
The foundation of statistical information.
Further, in this embodiment storing corresponding statistical data and for representing time series data row executing matching
Include: when first identifier data
Characteristic statistics information is individually stored, while being stored with first identifier data correlation；
Wherein, the second identifier data of the characteristic statistics information of time series data row are identical as first identifier data.
For example, characteristic statistics information after foundation, can individually store it, at the same with first identifier data, such as
Rowkey associated storage in time series database.Wherein, each time series data row itself equally has mark data, specially second
Mark data is computed generation by the characteristic information of the time series data row.And since the generation of first identifier data is also base
In each time series data row characteristic information calculate and obtain, therefore the second identifier data in the present embodiment actually with first identifier
Data are identical, therefore when the matched data line of the instructions query inputted in time series database based on user, inquiry second can be first passed through
Mark data and determine first identifier data, then obtain matched row data by first identifier data.
Specifically, matchingly the second time series data is obtained according to the first rule-based filtering statistical information in execution in the present embodiment
Include: when row collection
Matchingly second identifier data set is obtained according to the first rule-based filtering statistical information；
First identifier data set is obtained based on second identifier data set；
The second time series data row collection is obtained based on first identifier data set.
For example, the time series database in the present embodiment carries out matched timing in the data value information inputted based on user
When data query, first the statistical information of storage can be filtered as the first rule according to the information that user inputs, with
To matchingly second identifier data set, then due to second identifier data set is identical as first identifier data set, therefore by obtaining
Second identifier data set can obtain corresponding first identifier data set, and since first identifier data have unique match
Timing row data, therefore the first identifier data set for passing through determination can obtain the second time series data row for meeting user's requirement
Collection.After determining the second timing row collection, it can for example be delivered to for re-filtering in TSDB Server and calculate, to obtain
Eventually for each row data for the third time series data row for feeding back to user.When may make using the above method in the present embodiment
Sequence database is filtered and is calculated by it is not necessary that all data are delivered in TSDB Server, but can be based on user
Instruction, it is desirable that and be filtered and calculate in advance in database, make the data for only substantially meeting user instruction and requirement
It can just be admitted to for re-filtering in TSDB Server and calculate, so significantly reduce time series database and TSDB
The data process load of Server, while data-handling efficiency is improved, the data feedback to user is accelerated, user is met
It is intended to quickly search the requirement of time series data by data value.
As shown in figure 3, the embodiment of the present application provides a kind of electronic equipment simultaneously, comprising:
Acquisition device is used to obtain the first time series data row collection, and obtains the first time series data row and concentrate each timing
The statistical information of data line, statistical information include at least the characteristic information of time series data row；
Processing unit is used to obtain the second time series data row collection of matching according to the first rule-based filtering statistical information, obtains
Each row data that second time series data row is concentrated filter each row data that the second time series data row is concentrated according to Second Rule and obtain
Meet each row data of the third time series data row of input requirements.
The beneficial effect of the embodiment of the present application is only to be input to the data line collection met the requirements for example according to data value
Data screening is carried out in TSDB Server, filtering so greatly reduces data to obtain meeting the data set of user's requirement
The data volume of library output, while the calculation amount of such as TSDB Server is reduced, it integrally improves and timing is carried out according to data value
The efficiency of inquiry meets user and is intended to quickly obtain the requirement of query result.
For example, obtaining device first obtains the first time series data row collection, the acquisition pattern of the first time series data row collection is not
Uniquely, it can be calculated and be obtained self by database by system, can also be input in system and be obtained by third party.Obtain this
After one time series data row collection, just it is parsed, to obtain the statistical information of each time series data row, which is at least wrapped
The characteristic information for including time series data row, the information of content, keyword for example including characterization the row data etc., at least this feature are believed
Breath need to have with data line to be corresponded, and the feature of uniqueness, that is, have each characteristic information and only with a data line phase
Corresponding characteristic.Later, system is based only upon the filtering that the statistical information carries out the first rule, makes to filter out the first rule of satisfaction
Statistical information then determines unique corresponding data line by the statistical information again, finally determines corresponding each row by the data line
Data determine to meet each time series data in each data line of condition.Finally, again based on each line number accordingly and second rule
Then, it determines to meet the requirements, such as meets each row data of user's requirement.When concrete application, obtaining device can be by for example
Processor in Hbase database is taken on, and subsequent execution is for each of the second time series data and third time series data row
The processing unit of the determination of row data can be by the processor and TSDB Server in such as TSDB Server or Hbase database
Combination take on, certainly, the restriction of each step executing subject is not unique, above steps can also execute master by same
Body, such as Hbase database or TSDB Server execute to execute, or by other executing subjects.
Further, acquisition device is also used to:
According to the first time series data row collection for obtaining the condition that meets in input instruction sequencing database.
For example, user wants that an instruction when inquiring time series data, can be inputted into time series database according to a data value,
Time series database is just filtered the time series data that it is stored according to the data value in the command information at this time, final to obtain
Meet the first time series data row collection of data value condition.
Further, processing unit is also used to:
Characteristic statistics are carried out to each time series data row in time series database；
Matching stores corresponding statistical data and the first identifier data for representing time series data row.
For example, time series database is before the instruction for not receiving user's input also, each time series data that just it is stored into
Row characteristic statistics, maximum value, minimum value, data value quantity for example including each data line, the content of data line, keyword etc.
Deng.Then matching stores corresponding statistical data and the first identifier data for representing time series data row, the first identifier number
According to that can be rowkey data (data are the data that time series database itself has) in time series database, can also be passed through for system
The identification data that can represent the time series data row that other analytical calculations obtain.In the present embodiment by by statistical data with
First identifier data are associated storage, and matching storage may make when time series database is looked into according to the data value that user inputs
When looking for, the data line where related data can be obtained, and do not include that the data line of data value can directly be ignored for other, nothing
It need to extract and carry out subsequent screening judgement, facilitate the subsequent screening to each row data to filter with this, improve the processing effect of data
Fruit.
Further, processing unit is also used to:
Time series data row is compressed, the characteristic statistics information of time series data row is created.
It is, the processing unit in the present embodiment is the processor in time series database, when time series database is based on it
Processor can undergo the process that branch, compression are carried out to time series data when storing time series data, and the foundation of statistical information is just
It can be completed during time series database carries out branch, compression to time series data, so as to improve treatment effeciency, without in addition single
Solely time series data is analyzed to obtain its characteristic information, and then completes the foundation of statistical information.
Further, in this embodiment processing unit store corresponding statistical data and when for representing executing matching
Include: when the first identifier data of sequence data line
Characteristic statistics information is individually stored, while being stored with first identifier data correlation；
Wherein, the second identifier data of the characteristic statistics information of time series data row are identical as first identifier data.
For example, characteristic statistics information after foundation, can individually store it, at the same with first identifier data, such as
Rowkey associated storage in time series database.Wherein, each time series data row itself equally has mark data, specially second
Mark data is computed generation by the characteristic information of the time series data row.And since the generation of first identifier data is also base
In each time series data row characteristic information calculate and obtain, therefore the second identifier data in the present embodiment actually with first identifier
Data are identical, therefore when the matched data line of the instructions query inputted in time series database based on user, inquiry second can be first passed through
Mark data and determine first identifier data, then obtain matched row data by first identifier data.
Specifically, the processing unit in the present embodiment obtains matchingly the according to the first rule-based filtering statistical information executing
Include: when two time series data row collection
Matchingly second identifier data set is obtained according to the first rule-based filtering statistical information；
First identifier data set is obtained based on second identifier data set；
The second time series data row collection is obtained based on first identifier data set.
For example, the processing unit in the present embodiment is taken on jointly by time series database and TSDB Server, time series data
It library, can be first according to the information of user's input when the data value information inputted based on user carries out the inquiry of matched time series data
The statistical information of storage is filtered as the first rule, to obtain matchingly second identifier data set, then due to the
Two mark data collection are identical as first identifier data set, therefore the second identifier data set by obtaining can obtain corresponding first
Mark data collection, and since first identifier data have the timing row data of unique match, pass through determining first identifier
Data set can obtain the second time series data row collection for meeting user's requirement.It, can be for example defeated after determining the second timing row collection
It send for re-filtering into TSDB Server and calculates, to obtain eventually for the third time series data row for feeding back to user
Each row data.Time series database may make to be not necessarily to all data being delivered to TSDB using the above method in the present embodiment
It is filtered and is calculated by it in Server, but can be based on the instruction of user, it is desirable that and be filtered in advance in database
And calculating, it be admitted to the data for only substantially meeting user instruction and requirement just can for re-filtering in TSDB Server
And calculating, the data process load of time series database and TSDB Server is so significantly reduced, while improving at data
Efficiency is managed, the data feedback to user is accelerated, meets user and be intended to quickly search the requirement of time series data by data value.
Above embodiments are only the exemplary embodiment of the application, are not used in limitation the application, the protection scope of the application
It is defined by the claims.Those skilled in the art can make respectively the application in the essence and protection scope of the application
Kind modification or equivalent replacement, this modification or equivalent replacement also should be regarded as falling within the scope of protection of this application.
Claims (10)
1. a kind of data processing method, wherein include:
Obtain the first time series data row collection；
The statistical information that the first time series data row concentrates each time series data row is obtained, the statistical information includes at least timing
The characteristic information of data line；
Matched second time series data row collection is obtained according to statistical information described in the first rule-based filtering；
Obtain each row data that the second time series data row is concentrated；
When obtaining the third for meeting input requirements according to each row data that Second Rule filters the second time series data row concentration
Each row data of sequence data line.
2. according to the method described in claim 1, wherein, the first time series data row collection of the acquisition includes:
The first time series data row collection of the condition of satisfaction is obtained from time series database according to input instruction.
3. according to the method described in claim 1, wherein, further includes:
Characteristic statistics are carried out to each time series data row in time series database；
Matching stores corresponding statistical data and the first identifier data for representing time series data row.
4. according to the method described in claim 3, wherein, each time series data row in time series database carries out feature system
Meter includes:
The characteristic statistics information of time series data row is created while compressing to time series data row.
5. according to the method described in claim 3, wherein, the matching stores corresponding statistical data and ordinal number when for representing
Include: according to capable first identifier data
The characteristic statistics information is individually stored, at the same with the first identifier data correlation；
Wherein, the second identifier data of the characteristic statistics information of the time series data row are identical as the first identifier data.
6. according to the method described in claim 5, wherein, the statistical information according to the first rule-based filtering obtains matchingly
Second time series data row collection includes:
The matchingly second identifier data set is obtained according to statistical information described in first rule-based filtering；
The first identifier data set is obtained based on the second identifier data set；
The second time series data row collection is obtained based on the first identifier data set.
7. a kind of electronic equipment characterized by comprising
Acquisition device is used to obtain the first time series data row collection, and obtains the first time series data row and concentrate each timing
The statistical information of data line, the statistical information include at least the characteristic information of time series data row；
Processing unit is used for the statistical information according to the first rule-based filtering and obtains the second time series data row collection of matching, obtains
Each row data that the second time series data row is concentrated filter each row that the second time series data row is concentrated according to Second Rule
Data obtain each row data for the third time series data row for meeting input requirements.
8. electronic equipment according to claim 7, wherein the acquisition device is also used to:
According to the first time series data row collection for obtaining the condition that meets in input instruction sequencing database.
9. electronic equipment according to claim 7, wherein the processing unit is also used to:
Characteristic statistics are carried out to each time series data row in time series database；
Matching stores corresponding statistical data and the first identifier data for representing time series data row.
10. electronic equipment according to claim 9, wherein the processing unit is also used to:
Time series data row is compressed, the characteristic statistics information of time series data row is created.
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