CN109726068A - A kind of data detection method and device - Google Patents
A kind of data detection method and device Download PDFInfo
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- CN109726068A CN109726068A CN201711045508.3A CN201711045508A CN109726068A CN 109726068 A CN109726068 A CN 109726068A CN 201711045508 A CN201711045508 A CN 201711045508A CN 109726068 A CN109726068 A CN 109726068A
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Abstract
The application discloses a kind of data detection method and device, this method comprises: determining report to be detected first, then, it is retrieved as the Data Detection range of the report setting to be detected, and it is retrieved as the Testing index of the Data Detection range setting, it in this way can be according to the corresponding detected rule of the Testing index, detect the data within the scope of the Data Detection, if the corresponding abnormality decision conditions of Testing index described in the data fit within the scope of the Data Detection, it can determine that there are abnormal datas within the scope of the Data Detection, so as to output abnormality testing result.As it can be seen that automatic inspection of data may be implemented in the application, human cost is not only reduced, additionally it is possible to which note abnormalities data accurately and in time.
Description
Technical field
This application involves technical field of data processing more particularly to a kind of data detection methods and device.
Background technique
Report export is the file that the report data that system generates is exported as to excel table or other forms.But
User is generally only concerned whether report data can successfully export, for the accuracy control and attention rate of derived report data
Not enough.
Currently, only by manually doing a judgement to report data, that is, judging that report data is after exporting report data
No exception, still, this artificial judgment mode not only expend more manpower, and can not also note abnormalities data accurately and in time.
Summary of the invention
In view of the above problems, this application provides a kind of data detection method and devices, can find accurately and in time different
Regular data.
This application provides a kind of data detection methods, which comprises
Determine report to be detected；
It is retrieved as the Data Detection range of the report setting to be detected；
It is retrieved as the Testing index of the Data Detection range setting, and detection corresponding to the determining and Testing index
Rule and abnormality decision conditions；
According to the corresponding detected rule of the Testing index, the data within the scope of the Data Detection are detected；
If the corresponding abnormality decision conditions of Testing index described in the data fit within the scope of the Data Detection, it is determined that institute
It states within the scope of Data Detection there are abnormal data, and output abnormality testing result.
Optionally, the Testing index for being retrieved as the Data Detection range setting, comprising:
Obtain the Testing index that user is Data Detection range setting.
Optionally, when the Data Detection range includes the list item data of at least one list item, the Testing index packet
The corresponding index set of each list item is included, the index set includes max-thresholds, minimum threshold, average value ranges and number
According to one or more index item in accounting threshold value；
Then, described that data within the scope of the Data Detection are detected according to the corresponding detected rule of the Testing index, packet
It includes:
If the index set includes the max-thresholds, detecting in corresponding table item data whether there is greater than described in most
The data of big threshold value；
If the index set includes the minimum threshold, detecting in corresponding table item data whether there is less than described in most
The data of small threshold value；
If the index set includes the average value ranges, the average value of corresponding table item data is calculated, and detects institute
Average value is stated whether not in the average value ranges；
If the index set includes the data accounting threshold value, calculate in corresponding table item data in the maximum threshold
Data volume between value and the minimum threshold calculates accounting of the data volume in corresponding table item data, and described in detection
Whether accounting is lower than the data accounting threshold value；
Correspondingly, if the corresponding abnormal determination item of Testing index described in data fit within the scope of the Data Detection
Part, it is determined that there are abnormal datas within the scope of the Data Detection, comprising:
The list item data that testing result is yes if it exists, it is determined that there are exception table item numbers within the scope of the Data Detection
According to exporting the abnormality detection result of the exception table item data.
Optionally, the Testing index for being retrieved as the Data Detection range setting, comprising:
At least a target sample report is obtained, the target sample report is normal report and the target sample report
There are each list items within the scope of the Data Detection in table；
It is that Testing index is arranged in the Data Detection range using at least a target sample report.
Optionally, the method also includes:
Sample form library storage is established, the sample form library storage includes at least a sample report；
Then, at least a target sample report of the acquisition, comprising:
Judge whether the target sample report in the sample form library storage reaches the first preset quantity；
If so, choosing the target sample report of first preset quantity from the sample form library storage；
If it is not, then choosing all target sample reports from the sample form library storage.
Optionally, described to be referred to using at least a target sample report for Data Detection range setting detection
Mark, comprising:
When the Data Detection range includes the list item data of at least one list item, it is arranged for the Data Detection range
Testing index, the Testing index include the corresponding index set of each list item, and the index set includes each target sample
Report is about one or more of the max-thresholds of corresponding table item, minimum threshold, average value ranges and sample data range
Index item；
Wherein, the max-thresholds are the maximum value in the sample data of corresponding table item, and the minimum threshold is corresponding table
Minimum value in the sample data of item, the average value ranges are the number including the average value of the sample data of corresponding table item
It is worth range, numberical range of the sample data range between the maximum value and the minimum value, the sample data is
All or part of data of the corresponding table item.
Optionally, described according to the corresponding detected rule of the Testing index, detect the number within the scope of the Data Detection
According to, comprising:
For each list item within the scope of the Data Detection, if the index set of corresponding table item includes each target sample
The corresponding max-thresholds of report then detect in corresponding table item data with the presence or absence of the number of the max-thresholds greater than the second preset quantity
According to；
If the index set of corresponding table item includes the corresponding minimum threshold of each target sample report, corresponding table item is detected
With the presence or absence of the data of the minimum threshold less than third preset quantity in data；
If the index set of corresponding table item includes the corresponding average value ranges of each target sample report, corresponding table is calculated
The average value of item data, and the average value is detected whether not in the average value ranges of the 4th preset quantity；
If the index set of corresponding table item includes the corresponding sample data range of each target sample report, correspondence is calculated
Data area where list item data, and the data area is detected whether within the scope of the sample data of the 5th preset quantity；
Wherein, second preset quantity, the third preset quantity, the 4th preset quantity, the described 5th preset
Quantity is respectively less than the total quantity of the target sample report；
Correspondingly, if the corresponding abnormal determination item of Testing index described in data fit within the scope of the Data Detection
Part, it is determined that there are abnormal datas within the scope of the Data Detection, comprising:
The list item data that testing result is no if it exists, it is determined that there are exception table item numbers within the scope of the Data Detection
According to exporting the abnormality detection result of the exception table item data.
Present invention also provides a kind of data detection device, described device includes:
Report determination unit to be checked, for determining report to be detected；
Detection range acquiring unit, for being retrieved as the Data Detection range of the report setting to be detected；
Testing index acquiring unit, for being retrieved as the Testing index of the Data Detection range setting, and determining and institute
State detected rule corresponding to Testing index and abnormality decision conditions；
Anomaly data detection unit, for detecting the Data Detection according to the corresponding detected rule of the Testing index
Data in range；
Testing result output unit, if corresponding for Testing index described in the data fit within the scope of the Data Detection
Abnormality decision conditions, it is determined that there are abnormal data within the scope of the Data Detection, and output abnormality testing result.
Present invention also provides a kind of storage medium, the storage medium includes the program of storage, wherein in described program
Equipment executes method described in any of the above embodiments where controlling the storage medium when operation.
Present invention also provides a kind of processor, the processor is for running program, wherein described program is held when running
Row method described in any of the above embodiments.
By above-mentioned technical proposal, in a kind of data detection method and device provided by the present application, it is first determined to be detected
Then report is retrieved as the Data Detection range of the report setting to be detected, and be retrieved as the Data Detection range setting
Testing index, can be detected within the scope of the Data Detection according to the corresponding detected rule of the Testing index in this way
Data, if the corresponding abnormality decision conditions of Testing index described in data fit within the scope of the Data Detection, it can determine
There are abnormal datas within the scope of the Data Detection, so as to output abnormality testing result.As it can be seen that the application may be implemented certainly
Dynamic Data Detection, not only reduces human cost, additionally it is possible to which note abnormalities data accurately and in time.
Above description is only the general introduction of technical scheme, in order to better understand the technological means of the application,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects, features and advantages of the application can
It is clearer and more comprehensible, below the special specific embodiment for lifting the application.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the application
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows one of the flow diagram of data detection method provided by the embodiments of the present application；
Fig. 2 shows the two of the flow diagram of data detection method provided by the embodiments of the present application；
Fig. 3 shows advertisement newspaper provided by the embodiments of the present application and indicates to be intended to；
Fig. 4 shows the three of the flow diagram of data detection method provided by the embodiments of the present application；
Fig. 5 shows the composition schematic diagram of data detection device provided by the embodiments of the present application.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Whether a kind of data detection method provided by the present application, report to be detected for one are detecting the report data
Before exception, need in advance for its configuration data detected rule, in this way, detection device can be based on manually, setting or system are automatic
The Testing index of setting detects report data using the corresponding Data Detection rule of the Testing index, when data exist
It, can be with output abnormality testing result when abnormal.As it can be seen that the application can carry out Data Detection automatically, not only reduce manpower at
This, additionally it is possible to note abnormalities data accurately and in time.
Embodiment one
Referring to Fig. 1, for a kind of flow diagram for data detection method that the present embodiment one provides, this method includes following
Step:
S101: report to be detected is determined.
The report to be detected can be current derived report, be also possible to the report transferred from some storage location,
The present embodiment does not limit the acquisition modes of the report to be detected.
S102: it is retrieved as the Data Detection range of the report setting to be detected.
About the Data Detection range, can by user setting, specifically, due to user may merely desire to it is described to
Partial data in detection report carries out abnormality detection, and therefore, user, which can choose, needs detected number in report to be detected
According to, for example the corresponding row and column of these data is selected, the data acquisition system of these row and columns composition is this Data Detection model
It encloses.Certainly, if user is without being accordingly arranged, it is this that detection device, which defaults the total data in the report to be detected,
Data Detection range.
S103: it is retrieved as the Testing index of the Data Detection range setting, and corresponding to the determining and Testing index
Detected rule and abnormality decision conditions.
It should be noted that before carrying out Data Detection need that Testing index is arranged for the Data Detection range, from
And the detected rule and abnormality decision conditions of the Testing index configuration can be determined as, wherein the detected rule refers to tool
The Data Detection mode of body, the abnormality decision conditions refer to which type of testing result belongs to abnormality detection result.After in this way,
Continuous step S104 can carry out Data Detection using the corresponding detected rule of the Testing index, obtain testing result, and after
Continuous step S105 further can determine whether the testing result belongs to using the corresponding abnormality decision conditions of the Testing index
Abnormality detection result.
The Testing index can be arranged automatically by user setting or by detection device, in two He of subsequent embodiment
In embodiment three, user setting mode will be specifically introduced with Automatic Styles respectively.
S104: according to the corresponding detected rule of the Testing index, the data within the scope of the Data Detection are detected.
In the present embodiment, since to may relate to one or more list items (such as each in table for the report to be detected
List items and/or each row list item), then, the Data Detection range may also be related to one or more list items, therefore, can
To carry out Data Detection for these list items.Specifically, for list items therein and/or row list item, it is arranged for each list item
Testing index is specifically as follows each list item and one or more index item is arranged, so as to corresponding using each index item
Detected rule carries out Data Detection to the list item, to judge whether the list item data are abnormal about each index item.
S105: if the corresponding abnormality decision conditions of Testing index described in data fit within the scope of the Data Detection,
It determines within the scope of the Data Detection there are abnormal data, and output abnormality testing result.
Each list item within the scope of the Data Detection will correspond to one or more index item, and each index item is corresponding
One abnormality decision conditions.For example, it is assumed that an index item for being the setting of certain list item is max-thresholds, carried out to the list item data
After detection, if there are the data greater than the max-thresholds in the list item data, then it is assumed that it meets abnormality decision conditions, into
And determining that these are greater than the data of the max-thresholds is abnormal data.
In output abnormality testing result, can take various forms, for example, only illustrate certain list item data be it is abnormal,
Or further illustrate which data in certain list item data be it is abnormal, etc., the present embodiment is not to the defeated of abnormality detection result
Content is defined out.
In addition, when data are deposited when abnormal data alarm can also be carried out, for example prompt to report using the modes such as mail are sent
The table owner carries out data inspection, and the report owner is made to pay close attention to the report.
A kind of data detection method provided in this embodiment, it is first determined then report to be detected is retrieved as described to be checked
The Data Detection range of table setting is observed and predicted, and is retrieved as the Testing index of the Data Detection range setting, it in this way can root
According to the corresponding detected rule of the Testing index, the data within the scope of the Data Detection are detected, if the Data Detection range
The corresponding abnormality decision conditions of Testing index described in interior data fit, it can determine that there are different within the scope of the Data Detection
Regular data, so as to output abnormality testing result.As it can be seen that automatic inspection of data may be implemented in the application, people is not only reduced
Power cost, additionally it is possible to which note abnormalities data accurately and in time.
Embodiment two
The present embodiment is second is that by user setting Testing index, and the Testing index based on user setting examines data
It surveys, is specifically introduced below.
Referring to fig. 2, a kind of flow diagram of the data detection method provided for the present embodiment two, this method includes following
Step:
S201: report to be detected is determined.
S202: it is retrieved as the Data Detection range of the report setting to be detected.
It should be noted that step S201-S202 is consistent with the S101-S102 in above-described embodiment one, related content is asked
Referring to embodiment one, details are not described herein.
S203: the Testing index that user is Data Detection range setting, and the determining and Testing index institute are obtained
Corresponding detected rule and abnormality decision conditions.
, can be by user setting, specifically about the Testing index, the application software installed in detection device can
It being provided in a manner of the setup measures such as index option and/or index input frame by for user, user can use one way in which,
It is the Data Detection range setting Testing index in the set interface that application software provides.
It should be noted that there may be multiple list items, such as advertisement newspaper shown in Fig. 3 to indicate in the report to be detected
It is intended to, which has " amount of showing ", " click volume " and " purchase volume " this 3 list items, exists simultaneously the 1st day, the 2nd
It ... the 7th day this 7 row list items.Therefore, when setting the Data Detection range by S202, which actual needs is arranged
List item needs to be detected, and the corresponding list item data of these list items are to need detected data.
It should be noted that subsequent " list item " referred to of the present embodiment is to need to be detected within the scope of the Data Detection
List item.
In a kind of embodiment of the application, when the Data Detection range includes the list item data of at least one list item
When, the Testing index may include the corresponding index set of each list item, and the index set may include max-thresholds, most
One or more index item in small threshold value, average value ranges and data accounting threshold value.
In the present embodiment, if the Data Detection range is related to one or more list items to be detected, Ke Yiwei
Each list item is arranged one or more index item, and the corresponding index item of different list items can be the same or different.For example, as schemed
Shown in 3, it is assumed that the Data Detection range is related to two list items to be detected, respectively " amount of showing " and " click volume ", can be with
Respectively Testing index is arranged in " amount of showing " and " click volume ", and the Testing index of " amount of showing " may include max-thresholds, minimum
One or more index item in threshold value, average value ranges and data accounting threshold value, the Testing index of " click volume " can also be with
Including one or more index item in max-thresholds, minimum threshold, average value ranges and data accounting threshold value.
About the related introduction of " detected rule corresponding to the Testing index and abnormality decision conditions ", implementation is referred to
Example one, details are not described herein.
S204: according to the corresponding index set of list item each within the scope of the Data Detection, to the entry number of corresponding table item
According to being detected.
As previously mentioned, for each list item within the scope of the Data Detection, since the index set of the list item may wrap
One or more index item in max-thresholds, minimum threshold, average value ranges and data accounting threshold value are included, therefore, for
Any index item, can the list item data in the following way to the list item detect, below with reference to it is shown in Fig. 3 " click
It is specifically introduced for this list item of amount ".
If 1, the index set includes the max-thresholds, detect described with the presence or absence of being greater than in corresponding table item data
The data of max-thresholds.
For " click volume " this list item shown in Fig. 3, detect in 7 click datas with the presence or absence of greater than the maximum threshold
The data of value, such as 2 click datas are greater than the max-thresholds, then illustrate data ultra-range, this 2 click datas are abnormal
Data.
If 2, the index set includes the minimum threshold, detect described with the presence or absence of being less than in corresponding table item data
The data of minimum threshold.
For " click volume " this list item shown in Fig. 3, detect in 7 click datas with the presence or absence of less than the Minimum Threshold
The data of value, such as 1 click data are less than the minimum threshold, then illustrate data ultra-range, this 1 click data is abnormal
Data.
If 3, the index set includes the average value ranges, the average value of corresponding table item data is calculated, and is detected
Whether the average value is in the average value ranges.
For " click volume " this list item shown in Fig. 3, the average value of 7 click datas is calculated, if the average value is not
In the average value ranges, then illustrate that the average value of click data is relatively low or higher.
If 4, the index set includes the data accounting threshold value, calculate in corresponding table item data in the maximum
Data volume between threshold value and the minimum threshold calculates accounting of the data volume in corresponding table item data, and detects institute
State whether accounting is lower than the data accounting threshold value.
For " click volume " this list item shown in Fig. 3, counts several data in 7 click datas and be in the maximum threshold
Between value and the minimum threshold, such as 5 click datas, then, whether detection 5/7 is lower than the data accounting threshold value (ratio
As 5/6), if be lower than, specification exception click data is more.
S205: the list item data that testing result is yes if it exists, it is determined that there are exception tables within the scope of the Data Detection
Item data exports the abnormality detection result of the exception table item data.
Since the Data Detection range includes which one or more detected list items can export after detecting
List item is abnormal list item, can also further export the abnormal list item about which index item be it is abnormal, can also be into one
Specific abnormal conditions of the step output about the index item.
Embodiment three
The present embodiment third is that Testing index is arranged automatically, and detect to data based on the Testing index being arranged automatically,
It is specifically introduced below.
Referring to fig. 4, a kind of flow diagram of the data detection method provided for the present embodiment three, this method includes following
Step:
S401: report to be detected is determined.
S402: it is retrieved as the Data Detection range of the report setting to be detected.
It should be noted that step S401-S402 is consistent with the S101-S102 in above-described embodiment one, related content is asked
Referring to embodiment one, details are not described herein.
S403: obtaining at least a target sample report, and the target sample report is normal report and the target sample
There are each list items within the scope of the Data Detection in this report.
To realize this step, a sample form library storage can be pre-established, the sample form library storage includes at least a sample
This report.Based on this, this step S403 be can specifically include: judge whether the target sample report in the sample form library storage reaches
To the first preset quantity；If so, choosing the target sample report of first preset quantity from the sample form library storage；If
It is no, then all target sample reports are chosen from the sample form library storage.
It specifically, may include different types of sample report, such as the sample about advertisement in the sample form library storage
This report, about sample report etc. of finance.For example, it is assumed that certain advertisement or certain group advertisement are to export an advertisement in the period with week
Report, such as advertisement newspaper shown in Fig. 3 indicate to be intended to, which is corresponding weekly return, which includes 7 rows
List item and 3 list items, wherein 7 row list items respectively indicate which day in this week, 3 list items be respectively certain advertisement or certain
The outright purchase of the group always amount of showing of advertisement, total click volume and relevant advertisements product；In this way, can to each weekly return into
Row artificial detection is detected automatically using the application, be will test the normal weekly return of result and is added to the sample form library storage
In, and all normal weekly returns are attributed to same report form type.
Before carrying out Data Detection, the sample report quantity for generating the Testing index can be preset, for convenient for
It distinguishes, these sample report definitions are the target sample report by the present embodiment, and preset sample report quantity is defined as
First preset quantity.For example, it is assumed that the report to be detected is advertisement report shown in Fig. 3, if the advertisement report is
The weekly return being newly generated can then choose the history weekly return of first preset quantity from the sample form library storage, than
7 parts of history weekly returns are such as chosen, specifically can choose 7 parts of weekly returns being newly generated as the target sample report, but such as
Less than 7 parts weekly returns in sample form library storage described in fruit, such as only 5 parts, then select whole weekly returns as the target sample
Report.
It further, will be described if determining that the report to be detected is normal report by subsequent step S404-S405
Report to be detected is added in the sample form library storage, to update the sample form library storage.
S404: being Data Detection range setting Testing index using at least a target sample report, and really
Detected rule and abnormality decision conditions corresponding to the fixed and Testing index.
In the present embodiment, due to the normal report that these target sample reports are there is no abnormal data, it can
To be that Testing index is arranged in the Data Detection range based on these target sample reports, the Data Detection range is determined with this
Whether interior data to be tested are normal.
It should be noted that there may be multiple list items, such as advertisement newspaper shown in Fig. 3 to indicate in the report to be detected
It is intended to, which has " amount of showing ", " click volume " and " purchase volume " this 3 list items, exists simultaneously the 1st day, the 2nd
It ... the 7th day this 7 row list items.Therefore, when setting the Data Detection range by S402, which actual needs is arranged
List item needs to be detected, and the corresponding list item data of these list items are to need detected data.Therefore, for each target
Sample report, will be comprising needing the detected corresponding normal sample number of list item and these list items within the scope of the Data Detection
According to.
It should be noted that subsequent " list item " referred to of the present embodiment is to need to be detected within the scope of the Data Detection
List item.
In a kind of embodiment of the application, this step S404 be can specifically include:
When the Data Detection range includes the list item data of at least one list item, it is arranged for the Data Detection range
Testing index, the Testing index include the corresponding index set of each list item, and the index set includes each target sample
Report is about one or more of the max-thresholds of corresponding table item, minimum threshold, average value ranges and sample data range
Index item.Wherein, the max-thresholds are the maximum value in the sample data of corresponding table item, and the minimum threshold is corresponding table item
Sample data in minimum value, the average value ranges are the numerical value including the average value of the sample data of corresponding table item
Range, numberical range of the sample data range between the maximum value and the minimum value, the sample data is institute
State all or part of data of corresponding table item.
In the present embodiment, for same list item, the number in each target sample report about the list item is read respectively
According to, the total data or partial data of the list item can be read, if read partial data, a data streams read can be set
Percentage, such as 90%, at this point it is possible to remove preceding 5% larger data of sequence and to remove sequence posterior 5% smaller
Data only read remaining 90% data, the data read in this way it is more likely that normal data, the present embodiment by this
A little data definitions are the sample data of the list item.
Then, detect if necessary within the scope of the Data Detection about the larger data of the list item whether over range, can
To find out the maximum value (maximum value i.e. in the corresponding sample data of the list item) of each target sample report, and these are maximum
Value is respectively as max-thresholds.For " click volume " this list item shown in Fig. 3, if there is 8 target sample reports, it can look for
8 max-thresholds will be present as max-thresholds in maximum click data therein so out, this 8 max-thresholds possibility are identical,
It may also be different；
If necessary to detect within the scope of the Data Detection about the relatively small data of the list item whether over range, can find out
The minimum value (minimum value i.e. in the corresponding sample data of the list item) of each target sample report, and these minimum values are distinguished
As minimum threshold.For " click volume " this list item shown in Fig. 3, if there is 8 target sample reports, it can find out wherein
Minimum click data as minimum threshold, 8 minimum thresholds will be present in this way, this 8 minimum thresholds may it is identical, may also
It is different；
If necessary to detect within the scope of the Data Detection about the statistical average of the list item whether over range, Ke Yiji
Calculate the average value of sample data of each target sample report about the list item, and by a numberical range comprising the average value
As average value ranges.For " click volume " this list item shown in Fig. 3, if there is 8 target sample reports, it can calculate every
The average value of click data in a target sample report, such as the average value are X, can be flat as one by [X-a, X+b]
Mean value range, a and b are unequal and be number more than or equal to 0,8 average value ranges will be present in this way, this 8 average value models
Enclose may it is identical, may also be different；
If necessary to detect within the scope of the Data Detection about the normal data amount of the list item whether over range, Ke Yiji
Calculate the value range [c, d] of sample data of each target sample report about the list item, wherein c be the sample data most
Big value, d are the minimum value of the sample data, which is a sample data range." to be clicked shown in Fig. 3
Amount " is for this list item, if there is 8 target sample reports, found out from each target sample report maximum click data c and
8 sample data ranges [c, d] about " click volume " will be present in minimum click data d in this way, this 8 sample data ranges
May it is identical, may also be different.
About the related introduction of " detected rule corresponding to the Testing index and abnormality decision conditions ", implementation is referred to
Example one, details are not described herein.
S405: according to the corresponding index set of list item each within the scope of the Data Detection, to the entry number of corresponding table item
According to being detected.
As previously mentioned, for each list item within the scope of the Data Detection, since the index set of the list item may wrap
Each target sample report is included about in the max-thresholds of the list item, minimum threshold, average value ranges and sample data range
One or more index item therefore for any index item, the list item data to the list item can carry out in the following way
Detection, below with reference to being specifically introduced for " click volume " this list item shown in Fig. 3.
1, for each list item within the scope of the Data Detection, if the index set of corresponding table item includes each target sample
The corresponding max-thresholds of this report then detect in corresponding table item data with the presence or absence of the max-thresholds greater than the second preset quantity
Data；Wherein, second preset quantity is less than or equal to the total quantity of the target sample report.
By taking the Data Detection range includes " click volume " this list item shown in Fig. 3 as an example, when there is 8 target sample reports
When, about " click volume " index item will include 8 max-thresholds, by this 8 max-thresholds respectively with the click data in Fig. 3
It is compared, it is assumed that there is partial data to be greater than 3 max-thresholds therein in these click datas, then, if described second
Preset quantity is 2, since 3 are greater than 2, then illustrates click data over range.
Alternatively, further determining that percentage of the data volume greater than the max-thresholds in the list item total amount of data, such as
The fruit percentage exceeds preset percentage, for example preset percentage is 30%, when the related max-thresholds for meeting the requirement are more than
When second preset quantity, then illustrate the list item data ultra-range.
If 2, the index set of corresponding table item includes the corresponding minimum threshold of each target sample report, corresponding table is detected
With the presence or absence of the data of the minimum threshold less than third preset quantity in item data；Wherein, the third preset quantity be less than or
Equal to the total quantity of the target sample report.
By taking the Data Detection range includes " click volume " this list item shown in Fig. 3 as an example, when there is 8 target sample reports
When, about " click volume " index item will include 8 minimum thresholds, by this 8 minimum thresholds respectively with the click data in Fig. 3
It is compared, it is assumed that there is partial data to be less than 3 max-thresholds therein in these click datas, then, if the third
Preset quantity is 2, since 3 are greater than 2, then illustrates click data over range.
Alternatively, further determining that percentage of the data volume less than the minimum threshold in the list item total amount of data, such as
The fruit percentage exceeds preset percentage, for example preset percentage is 30%, when the related minimum threshold for meeting the requirement is more than
When the third preset quantity, then illustrate the list item data ultra-range.
If 3, the index set of corresponding table item includes the corresponding average value ranges of each target sample report, correspondence is calculated
The average value of list item data, and the average value is detected whether not in the average value ranges of the 4th preset quantity；Wherein, described
4th preset quantity is less than or equal to the total quantity of the target sample report.
By taking the Data Detection range includes " click volume " this list item shown in Fig. 3 as an example, when there is 8 target sample reports
When, the index item about " click volume " will include 8 average value ranges.The average value of whole click datas is calculated, if this is flat
Mean value then counts the quantity of these average value ranges not in certain average value ranges, if statistical magnitude is 3, if
4th preset quantity is 2, since 3 are greater than 2, then illustrates the average value over range of click data.
If 4, the index set of corresponding table item includes the corresponding sample data range of each target sample report, calculating pair
The data area where list item data is answered, and whether detects the data area not in the sample data range of the 5th preset quantity
It is interior；Wherein, the 5th preset quantity is less than or equal to the total quantity of the target sample report.
By taking the Data Detection range includes " click volume " this list item shown in Fig. 3 as an example, when there is 8 target sample reports
When, the index item about " click volume " will include 8 sample data ranges.If whole click datas are not in certain sample datas
In range, then the quantity of these sample data ranges is counted, if statistical magnitude is 3, if the 5th preset quantity
It is 2, since 3 are greater than 2, then illustrates click data over range.
S406: the list item data that testing result is yes if it exists, it is determined that there are exception tables within the scope of the Data Detection
Item data exports the abnormality detection result of the exception table item data.
Since the Data Detection range includes which one or more detected list items can export after detecting
List item is exception table, can also further export the abnormal list item about which index item be it is abnormal, can also be further
Export the specific abnormal conditions about the index item.
Example IV
Referring to Fig. 5, for a kind of composition schematic diagram for data detection device that the embodiment of the present application four provides, described device
500 include:
Report determination unit 501 to be checked, for determining report to be detected；
Detection range acquiring unit 502, for being retrieved as the Data Detection range of the report setting to be detected；
Testing index acquiring unit 503, for being retrieved as the Testing index of Data Detection range setting, and determine with
Detected rule corresponding to the Testing index and abnormality decision conditions；
Anomaly data detection unit 504, for detecting the data inspection according to the corresponding detected rule of the Testing index
Survey the data in range；
Testing result output unit 505, if for Testing index pair described in the data fit within the scope of the Data Detection
The abnormality decision conditions answered, it is determined that there are abnormal data within the scope of the Data Detection, and output abnormality testing result.
In a kind of embodiment of the application, the Testing index acquiring unit 503 is specifically used for:
Obtain the Testing index that user is Data Detection range setting.
In a kind of embodiment of the application, when the Data Detection range includes the list item data of at least one list item
When, the Testing index includes the corresponding index set of each list item, the index set include max-thresholds, minimum threshold,
One or more index item in average value ranges and data accounting threshold value；
Then, the anomaly data detection unit 504 is specifically used for:
If the index set includes the max-thresholds, detecting in corresponding table item data whether there is greater than described in most
The data of big threshold value；
If the index set includes the minimum threshold, detecting in corresponding table item data whether there is less than described in most
The data of small threshold value；
If the index set includes the average value ranges, the average value of corresponding table item data is calculated, and detects institute
Average value is stated whether not in the average value ranges；
If the index set includes the data accounting threshold value, calculate in corresponding table item data in the maximum threshold
Data volume between value and the minimum threshold calculates accounting of the data volume in corresponding table item data, and described in detection
Whether accounting is lower than the data accounting threshold value；
Correspondingly, the testing result output unit 505 is specifically used for:
The list item data that testing result is yes if it exists, it is determined that there are exception table item numbers within the scope of the Data Detection
According to exporting the abnormality detection result of the exception table item data.
In a kind of embodiment of the application, the Testing index acquiring unit 503 includes:
Sample report obtains subelement, and for obtaining at least a target sample report, the target sample report is positive
There are each list items within the scope of the Data Detection in normal report and the target sample report；
Testing index obtains subelement, for being the Data Detection range using at least a target sample report
Testing index is set.
In a kind of embodiment of the application, the method also includes:
Sample form library storage is established, the sample form library storage includes at least a sample report；
Then, the sample report obtains subelement and is specifically used for:
Judge whether the target sample report in the sample form library storage reaches the first preset quantity；If so, from described
The target sample report of first preset quantity is chosen in sample form library storage；If it is not, then being chosen from the sample form library storage
All target sample reports.
In a kind of embodiment of the application, the Testing index obtains subelement and is specifically used for:
When the Data Detection range includes the list item data of at least one list item, it is arranged for the Data Detection range
Testing index, the Testing index include the corresponding index set of each list item, and the index set includes each target sample
Report is about one or more of the max-thresholds of corresponding table item, minimum threshold, average value ranges and sample data range
Index item；
Wherein, the max-thresholds are the maximum value in the sample data of corresponding table item, and the minimum threshold is corresponding table
Minimum value in the sample data of item, the average value ranges are the number including the average value of the sample data of corresponding table item
It is worth range, numberical range of the sample data range between the maximum value and the minimum value, the sample data is
All or part of data of the corresponding table item.
In a kind of embodiment of the application, the anomaly data detection unit 504 is specifically used for:
For each list item within the scope of the Data Detection, if the index set of corresponding table item includes each target sample
The corresponding max-thresholds of report then detect in corresponding table item data with the presence or absence of the number of the max-thresholds greater than the second preset quantity
According to；
If the index set of corresponding table item includes the corresponding minimum threshold of each target sample report, corresponding table item is detected
With the presence or absence of the data of the minimum threshold less than third preset quantity in data；
If the index set of corresponding table item includes the corresponding average value ranges of each target sample report, corresponding table is calculated
The average value of item data, and the average value is detected whether not in the average value ranges of the 4th preset quantity；
If the index set of corresponding table item includes the corresponding sample data range of each target sample report, correspondence is calculated
Data area where list item data, and whether the data area is detected not in the sample data range of the 5th preset quantity
It is interior；
Wherein, second preset quantity, the third preset quantity, the 4th preset quantity, the described 5th preset
Quantity be respectively less than or equal to the target sample report total quantity；
Correspondingly, the testing result output unit 505 is specifically used for:
The list item data that testing result is yes if it exists, it is determined that there are exception table item numbers within the scope of the Data Detection
According to exporting the abnormality detection result of the exception table item data.
In addition, the data detection device 500 includes processor and memory, above-mentioned report determination unit 501 to be checked, inspection
Survey range acquiring unit 502, Testing index acquiring unit 503, anomaly data detection unit 504 and testing result output unit
505 it is equal as program unit storage in memory, by processor execute above procedure unit stored in memory Lai
Realize corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, by adjusting kernel parameter come the completion Data Detection automated, can note abnormalities data accurately and in time.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
Data detection device provided by the embodiments of the present application can be realized following functions: determine report to be detected first, so
Afterwards, it is retrieved as the Data Detection range of the report setting to be detected, and is retrieved as the detection of the Data Detection range setting
Index can detect the data within the scope of the Data Detection according to the corresponding detected rule of the Testing index in this way, if
The corresponding abnormality decision conditions of Testing index described in data fit within the scope of the Data Detection, it can determine the data
There are abnormal datas in detection range, so as to output abnormality testing result.As it can be seen that automaticdata inspection may be implemented in the application
It surveys, not only reduces human cost, additionally it is possible to which note abnormalities data accurately and in time.
Originally a kind of computer program product is additionally provided, when executing on data processing equipment, is adapted for carrying out initialization
The program code for step that there are as below methods:
Determine report to be detected；
It is retrieved as the Data Detection range of the report setting to be detected；
It is retrieved as the Testing index of the Data Detection range setting, and detection corresponding to the determining and Testing index
Rule and abnormality decision conditions；
According to the corresponding detected rule of the Testing index, the data within the scope of the Data Detection are detected；
If the corresponding abnormality decision conditions of Testing index described in the data fit within the scope of the Data Detection, it is determined that institute
It states within the scope of Data Detection there are abnormal data, and output abnormality testing result.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
The above is only embodiments herein, are not intended to limit this application.To those skilled in the art,
Various changes and changes are possible in this application.It is all within the spirit and principles of the present application made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of the claims of this application.
Claims (10)
1. a kind of data detection method, which is characterized in that the described method includes:
Determine report to be detected；
It is retrieved as the Data Detection range of the report setting to be detected；
It is retrieved as the Testing index of the Data Detection range setting, and detected rule corresponding to the determining and Testing index
And abnormality decision conditions；
According to the corresponding detected rule of the Testing index, the data within the scope of the Data Detection are detected；
If the corresponding abnormality decision conditions of Testing index described in the data fit within the scope of the Data Detection, it is determined that the number
According in detection range there are abnormal data, and output abnormality testing result.
2. the method according to claim 1, wherein the detection for being retrieved as the Data Detection range setting
Index, comprising:
Obtain the Testing index that user is Data Detection range setting.
3. method according to claim 1 or 2, which is characterized in that when the Data Detection range includes at least one table
When the list item data of item, the Testing index includes the corresponding index set of each list item, and the index set includes maximum threshold
One or more index item in value, minimum threshold, average value ranges and data accounting threshold value；
Then, described according to the corresponding detected rule of the Testing index, detect the data within the scope of the Data Detection, comprising:
If the index set includes the max-thresholds, detect in corresponding table item data with the presence or absence of greater than the maximum threshold
The data of value；
If the index set includes the minimum threshold, detect in corresponding table item data with the presence or absence of less than the Minimum Threshold
The data of value；
If the index set includes the average value ranges, the average value of corresponding table item data is calculated, and is detected described flat
Whether mean value is in the average value ranges；
If the index set includes the data accounting threshold value, calculate in corresponding table item data in the max-thresholds with
Data volume between the minimum threshold calculates accounting of the data volume in corresponding table item data, and detects the accounting
Whether the data accounting threshold value is lower than；
Correspondingly, if the corresponding abnormality decision conditions of Testing index described in data fit within the scope of the Data Detection,
Then determine that there are abnormal datas within the scope of the Data Detection, comprising:
The list item data that testing result is yes if it exists, it is determined that defeated there are exception table item data within the scope of the Data Detection
The abnormality detection result of the exception table item data out.
4. the method according to claim 1, wherein the detection for being retrieved as the Data Detection range setting
Index, comprising:
At least a target sample report is obtained, the target sample report is in normal report and the target sample report
There are each list items within the scope of the Data Detection；
It is that Testing index is arranged in the Data Detection range using at least a target sample report.
5. according to the method described in claim 4, it is characterized in that, the method also includes:
Sample form library storage is established, the sample form library storage includes at least a sample report；
Then, at least a target sample report of the acquisition, comprising:
Judge whether the target sample report in the sample form library storage reaches the first preset quantity；
If so, choosing the target sample report of first preset quantity from the sample form library storage；
If it is not, then choosing all target sample reports from the sample form library storage.
6. method according to claim 4 or 5, which is characterized in that described to utilize at least a target sample report
For the Data Detection range, Testing index is set, comprising:
When the Data Detection range includes the list item data of at least one list item, for Data Detection range setting detection
Index, the Testing index include the corresponding index set of each list item, and the index set includes each target sample report
About one or more indexs in the max-thresholds of corresponding table item, minimum threshold, average value ranges and sample data range
?；
Wherein, the max-thresholds are the maximum value in the sample data of corresponding table item, and the minimum threshold is corresponding table item
Minimum value in sample data, the average value ranges are the numerical value model including the average value of the sample data of corresponding table item
It encloses, numberical range of the sample data range between the maximum value and the minimum value, the sample data is described
All or part of data of corresponding table item.
7. according to the method described in claim 6, it is characterized in that, described according to the corresponding detected rule of the Testing index,
Detect the data within the scope of the Data Detection, comprising:
For each list item within the scope of the Data Detection, if the index set of corresponding table item includes each target sample report
Corresponding max-thresholds then detect in corresponding table item data with the presence or absence of the data of the max-thresholds greater than the second preset quantity；
If the index set of corresponding table item includes the corresponding minimum threshold of each target sample report, corresponding table item data are detected
In with the presence or absence of less than third preset quantity minimum threshold data；
If the index set of corresponding table item includes the corresponding average value ranges of each target sample report, corresponding table item number is calculated
According to average value, and detect the average value whether not in the average value ranges of the 4th preset quantity；
If the index set of corresponding table item includes the corresponding sample data range of each target sample report, corresponding table item is calculated
Data area where data, and the data area is detected whether not within the scope of the sample data of the 5th preset quantity；
Wherein, second preset quantity, the third preset quantity, the 4th preset quantity, the 5th preset quantity
Respectively less than or equal to the target sample report total quantity；
Correspondingly, if the corresponding abnormality decision conditions of Testing index described in data fit within the scope of the Data Detection,
Then determine that there are abnormal datas within the scope of the Data Detection, comprising:
The list item data that testing result is yes if it exists, it is determined that defeated there are exception table item data within the scope of the Data Detection
The abnormality detection result of the exception table item data out.
8. a kind of data detection device, which is characterized in that described device includes:
Report determination unit to be checked, for determining report to be detected；
Detection range acquiring unit, for being retrieved as the Data Detection range of the report setting to be detected；
Testing index acquiring unit, for being retrieved as the Testing index of the Data Detection range setting, and the determining and inspection
Survey detected rule and abnormality decision conditions corresponding to index；
Anomaly data detection unit, for detecting the Data Detection range according to the corresponding detected rule of the Testing index
Interior data；
Testing result output unit, if for the corresponding exception of Testing index described in the data fit within the scope of the Data Detection
Decision condition, it is determined that there are abnormal data within the scope of the Data Detection, and output abnormality testing result.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment execute such as method of any of claims 1-7.
10. a kind of processor, which is characterized in that the processor is for running program, wherein executed such as when described program is run
Method of any of claims 1-7.
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