CN110704393A - Data monitoring method and device for Hive data warehouse - Google Patents
Data monitoring method and device for Hive data warehouse Download PDFInfo
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- CN110704393A CN110704393A CN201910816650.6A CN201910816650A CN110704393A CN 110704393 A CN110704393 A CN 110704393A CN 201910816650 A CN201910816650 A CN 201910816650A CN 110704393 A CN110704393 A CN 110704393A
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Abstract
The embodiment of the invention discloses a data monitoring method and device for a Hive data warehouse, and solves the problem that data in the Hive data warehouse cannot be monitored in the prior art, and therefore problem data are applied. Wherein the method comprises the following steps: introducing a webpage Web interface to enable a user to set monitoring parameters on the Web interface; the Web interface sends the monitoring parameters to an analysis module, so that the analysis module finds out the position of the required data according to the monitoring parameters, acquires the required monitoring index from the position according to the monitoring parameters, and caches the monitoring index; and the Web interface receives and displays the monitoring index sent by the analysis module.
Description
Technical Field
The application relates to the field of data warehouses, in particular to a data monitoring method and device for a Hive data warehouse.
Background
With the continuous development of big data technology, the application rate of big data platforms in modern enterprises is higher and higher, and the big data platforms become an important technical means in the data management of the modern enterprises. The Hive data warehouse is particularly widely applied.
Hive is a data warehouse tool based on Hadoop of a distributed system infrastructure, can map structured data files into a database table, and provides a simple data query function. Through the Hive data warehouse, a user can effectively arrange and store the data in a recording mode.
However, due to the lack of a means for monitoring data in the Hive data warehouse in the prior art, when a problem occurs in data in the Hive data warehouse, it is difficult for a user to find the problem data, so that the problem data is applied by the user, and unnecessary loss is caused.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides a data monitoring method and device for a Hive data warehouse, so as to achieve the purpose of finding problem data in the Hive data warehouse in time.
The embodiment of the invention provides a data monitoring method for a Hive data warehouse, which comprises the following steps:
introducing a webpage Web interface to enable a user to set monitoring parameters on the Web interface;
the Web interface sends the monitoring parameters to an analysis module, so that the analysis module finds out the position of the required data according to the monitoring parameters, acquires the required monitoring index from the position according to the monitoring parameters, and caches the monitoring index;
and the Web interface receives and displays the monitoring result sent by the analysis module.
Optionally, the monitoring parameters include:
the method comprises the following steps of table name of a table to be monitored, a database where the table is located, specific monitoring indexes, a same-proportion period of monitoring, a deviation percentage threshold value and the like.
Optionally, the monitoring index includes:
the size of the data file, the total number of data, the maximum and minimum value of the numerical field, the total aggregation value of the numerical field and the like;
optionally, the finding, by the analysis module, the position of the required data according to the monitoring parameter includes:
and the analysis module finds the data table to be monitored according to the table name of the table to be monitored in the monitoring parameters and the database where the table is located, and obtains the time partition of the data table.
Optionally, the obtaining, by the analysis module, a required monitoring index from the position according to the monitoring parameter further includes:
if the monitoring index set by the user is the most significant value or the aggregate total value of some fields and other values which need to be obtained through calculation, the analysis module calculates the data obtained from the data warehouse first, so as to obtain the monitoring index.
Optionally, the receiving and displaying, by the Web interface, the monitoring index sent by the analysis module includes:
the display forms are data graphs, data tables and the like;
the display content comprises specific numerical values of all monitoring indexes, monitoring results of a plurality of comparison periods, problem data and the like; wherein the problem data is a data value that is deviated from the previous reference data by more than the deviation percentage threshold at a certain time point.
The embodiment of the invention provides a data monitoring device for a Hive data warehouse, which comprises:
the Web interface module is used for providing functions of setting monitoring parameters for a user, receiving and displaying the monitoring indexes sent by the analysis module;
and the analysis module is used for receiving the monitoring parameters sent by the Web interface, finding the position of the required data according to the monitoring parameters, acquiring the required monitoring index from the position according to the monitoring parameters, and caching the monitoring index.
Optionally, the monitoring parameters include:
the method comprises the following steps of table name of a table to be monitored, a database where the table is located, specific monitoring indexes, a same-proportion period of monitoring, a deviation percentage threshold value and the like.
Optionally, the monitoring index includes:
data file size, total number of data, maximum and minimum value of numerical field, total aggregation value of numerical field, etc.
Optionally, the analysis module includes:
the first receiving module is used for receiving the monitoring parameters sent by the Web interface;
the searching module is used for finding the data table to be monitored according to the table name of the table to be monitored in the monitoring parameters and the database;
the acquisition module is used for acquiring the time partition of the data table and the required data or the monitoring index;
the comparison module is used for comparing the obtained monitoring indexes according to the comparison period in the monitoring parameters, and if the difference value of the monitoring indexes corresponding to a certain data and the previous comparison period is larger than the deviation percentage threshold value, marking the monitoring indexes as problem data;
the storage module is used for caching the processed monitoring indexes;
and the first sending module is used for sending the processed monitoring index to the Web interface.
Optionally, the analysis module further comprises:
the calculation module is used for calculating the data acquired by the acquisition module to acquire the required monitoring index when the monitoring index set by the user is the most value or the aggregate total value of some fields and other values which need to be acquired through calculation;
optionally, the Web interface module includes:
the parameter setting module is used for providing a monitoring parameter setting function for a user;
the second sending module is used for sending the monitoring parameters set by the user to the analysis module;
the second receiving module is used for receiving the monitoring index sent by the analysis module;
the display module is used for displaying the received monitoring indexes in the form of a data graph or a data table; the display content comprises specific numerical values of all monitoring indexes, monitoring results of a plurality of comparison periods and problem data.
Compared with the prior art, the method has the following advantages:
through carrying out visual monitoring on data in the Hive data warehouse, data indexes appointed by a user or appointed data magnitude can be displayed and tracked more visually and accurately, so that problem data can be found in time, related personnel can maintain and clear the problem data conveniently, and the problem data is prevented from being applied to subsequent work by the user. Meanwhile, the fluctuation condition of the data can be visually and globally displayed in the form of diagrams and the like through a Web interface, so that an analyst can conveniently analyze the data.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a data monitoring method for a Hive data warehouse according to an embodiment of the present application;
fig. 2 is a flowchart of a specific application of a data monitoring method for a Hive data warehouse according to a second embodiment of the present application;
FIG. 3 is a bar graph of monthly financial expenditure as referred to in example two of the present application;
fig. 4 is a block diagram of a data monitoring apparatus for a Hive data warehouse according to a third embodiment of the present application;
fig. 5 is a block diagram of a composition structure of a Web interface module according to a third embodiment of the present application;
fig. 6 is a block diagram of a structure of an analysis module according to a third embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The first embodiment is as follows:
the embodiment of the application provides a data monitoring method for a Hive data warehouse, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, this figure is a flowchart of a data monitoring method for a Hive data warehouse according to an embodiment of the present application.
The method in the first embodiment of the application comprises the following steps:
step S101: and introducing a Web interface.
The Web interface comprises a monitoring parameter setting function related to the Hive data warehouse, and related monitoring parameters comprise a table name and a database where the table name and the database are located, a comparison period of monitoring, an index needing to be monitored, a deviation value percentage threshold value and the like.
Step S102: and setting related monitoring parameters on a Web interface by a user.
The monitoring index can be set to be the size of a data file, the total number of data, the maximum and minimum values of some numerical fields or the total aggregated numerical value, and the like; the period of year-on-year can be set as month, week, day, etc.
Step S103: and the analysis module acquires the monitoring parameters, finds the position of the required data according to the monitoring parameters, acquires the required monitoring index from the position according to the monitoring parameters, and caches the monitoring index.
The analysis module finds a corresponding data table in the Hive data warehouse according to the table name to be monitored and the database where the table name to be monitored and the database are located, finds the data type or the data characteristic to be monitored according to the monitoring index, meanwhile, if the preset monitoring index is the total aggregation value of some numerical fields, such as an average value and a median, the corresponding data needs to be found, obtains the required monitoring index by calculating the data, and records the monitoring index. And finally, finding out problem data in the data according to a preset period of the same proportion and a deviation value percentage threshold value. The comparison according to the preset period of the same proportion means that the preset period of the same proportion is used as a comparison period, and the comparison content is a monitoring index of a corresponding sub-period in the period of the same proportion.
For example, if the period is set to "year", then it is compared whether the current year is greater than the last year "monthly data" by a percentage threshold for deviation; if the period is set to "month", then it is compared whether "data per day" of the current month and the previous month is greater than a percentage threshold of deviation; if the period is set to "day", then it is whether that day and yesterday "data per hour" are greater than a percentage threshold of deviation, and so on
S104: and the Web interface receives and displays the monitoring index sent by the analysis module.
The Web interface displays the obtained monitoring indexes in the forms of data graphs, data tables and the like, and the displayed contents comprise specific numerical values of all the monitoring indexes, monitoring results of a plurality of comparison periods, problem data and the like; wherein the problem data is a data value that is deviated from the previous reference data by more than the deviation percentage threshold at a certain time point.
Example two:
based on the data monitoring method for the Hive data warehouse provided by the above embodiment, a second embodiment of the present application provides an implementation manner of a data monitoring method for financial data in the Hive data warehouse, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 2, the figure is a flowchart of a specific implementation of a financial data monitoring method for a Hive data warehouse according to a second embodiment of the present application.
The method of the second embodiment of the application comprises the following steps:
s201: a Web interface corresponding to the financial data is introduced.
The Web interface is internally provided with a monitoring parameter setting function related to financial data, such as the position of a bank where the financial data is located, the name of a data table where the financial data is located, a financial data index needing to be monitored, a deviation percentage threshold value and the like.
S202: and setting related monitoring parameters on a Web interface by a user.
The user can input the position of the financial data to be monitored and the name of the data table on the Web interface, and set the related monitoring index. For example, the financial data is located in a financial balance database, the data table name is a financial expenditure table, the monitoring index is a financial expenditure average, the parity period is set to year, and the deviation percentage threshold is set to 8%.
S203: and the analysis module analyzes and calculates financial data of drinking in the Hive data warehouse according to the monitoring parameters to obtain monitoring indexes, and caches the monitoring indexes.
The analysis module obtains the financial expenditure value of each month from the financial expenditure table in the financial income and expenditure database according to the position of the preset financial data, calculates the total financial expenditure value of each month, compares the total financial expenditure values of the corresponding months in two adjacent years by taking the year as a unit, and calculates the deviation percentage of the financial expenditure of the corresponding month. And if the deviation percentage exceeds a preset deviation percentage threshold value of 8%, marking the monthly financial expenditure data as abnormal data points.
S204: and the Web interface receives the monitoring index sent by the analysis module and displays the monitoring index in a financial data graph mode.
After receiving the monthly financial expenditure value sent by the analysis module, the Web interface displays the monthly financial expenditure value in a form of a histogram and marks an abnormal data point. The monthly payout comparison dendrogram is shown in FIG. 3.
Based on the data monitoring method for the Hive data warehouse provided by the above embodiment, a third embodiment of the present application further provides a data monitoring device for the Hive data warehouse, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 4, this figure is a block diagram of a data monitoring apparatus for a Hive data warehouse according to a third embodiment of the present application.
Third the data monitoring device to Hive data warehouse of this application embodiment includes:
101: and the Web interface module is used for providing functions of setting monitoring parameters for a user, receiving and displaying the monitoring indexes sent by the analysis module.
Wherein the monitoring parameters include: the method comprises the following steps of table name of a table to be monitored, a database where the table is located, specific monitoring indexes, a same-proportion period of monitoring, a deviation percentage threshold value and the like. The monitoring indexes comprise: data file size, total number of data, maximum and minimum value of numerical field, total aggregation value of numerical field, etc.
102: the analysis module is used for receiving the monitoring parameters sent by the Web interface, finding the position of the required data according to the monitoring parameters, acquiring the required monitoring index from the position according to the monitoring parameters, caching the monitoring index, and the analysis module is used for receiving the monitoring parameters sent by the Web interface, finding the position of the required data according to the monitoring parameters, acquiring the required monitoring index from the position according to the monitoring parameters, and caching the monitoring index.
The Web interface module specifically includes the following components, as shown in fig. 5, including:
201: the parameter setting module is used for providing a monitoring parameter setting function for a user;
202: the second sending module is used for sending the monitoring parameters set by the user to the analysis module;
203: the second receiving module is used for receiving the monitoring index sent by the analysis module;
204: the display module is used for displaying the received monitoring indexes in the form of a data graph or a data table; the display content comprises specific numerical values of all monitoring indexes, monitoring results of a plurality of comparison periods and problem data.
The analysis module specifically includes the following components, as shown in fig. 6, including:
301: the first receiving module is used for receiving the monitoring parameters sent by the Web interface;
302: the searching module is used for finding the data table to be monitored according to the table name of the table to be monitored in the monitoring parameters and the database;
303: the acquisition module is used for acquiring the time partition of the data table and the required data or the monitoring index;
304: and the calculating module is used for calculating the data acquired by the acquiring module to acquire the required monitoring index when the monitoring index set by the user is the most value or the aggregate total value of some fields and other values which need to be acquired through calculation.
305: and the comparison module is used for comparing the obtained monitoring indexes according to the comparison period in the monitoring parameters, and if the difference value of the monitoring indexes corresponding to a certain data and the previous comparison period is greater than the deviation percentage threshold value, marking the monitoring indexes as problem data.
The comparison according to the preset period of the same proportion means that the preset period of the same proportion is used as a comparison period, and the comparison content is a monitoring index of a corresponding sub-period in the period of the same proportion.
For example, if the period is set to "year", then it is compared whether the current year is greater than the last year "monthly data" by a percentage threshold for deviation; if the period is set to "month", then it is compared whether "data per day" of the current month and the previous month is greater than a percentage threshold of deviation; if the period is set to "day", then it is whether that day and yesterday "data per hour" are greater than a percentage threshold of deviation, and so on
306: the storage module is used for caching the processed monitoring indexes;
307: and the first sending module is used for sending the processed monitoring index to the Web interface.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, and the units and modules described as separate components may or may not be physically separate. In addition, some or all of the units and modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing is directed to embodiments of the present application and it is noted that numerous modifications and adaptations may be made by those skilled in the art without departing from the principles of the present application and are intended to be within the scope of the present application.
Claims (12)
1. A data monitoring method for a Hive data warehouse is characterized by comprising the following steps:
introducing a webpage Web interface to enable a user to set monitoring parameters on the Web interface;
the Web interface sends the monitoring parameters to an analysis module, so that the analysis module finds out the position of the required data according to the monitoring parameters, acquires the required monitoring index from the position according to the monitoring parameters, and caches the monitoring index;
and the Web interface receives and displays the monitoring index sent by the analysis module.
2. The method of claim 1, wherein the monitoring parameters comprise;
the method comprises the following steps of table name of a table to be monitored, a database where the table is located, specific monitoring indexes, a same-proportion period of monitoring and a deviation percentage threshold value.
3. The method of claim 1, wherein the monitoring metrics comprise:
the data file size, the total number of data, the maximum and minimum values of the numerical field and the total aggregation value of the numerical field.
4. The method of claim 1, wherein the analysis module finding the desired data location based on the monitoring parameters comprises:
and the analysis module finds the data table to be monitored according to the table name of the table to be monitored in the monitoring parameters and the database where the table is located, and obtains the time partition of the data table.
5. The method of claim 1, wherein the analyzing module obtaining a desired monitoring indicator from the location based on the monitoring parameter further comprises:
if the monitoring index set by the user is the most significant value or the aggregate total value of some fields and other values which need to be obtained through calculation, the analysis module calculates the data obtained from the data warehouse first, so as to obtain the monitoring index.
6. The method of claim 1, wherein the receiving and displaying, by the Web interface, the monitoring metrics sent by the analysis module comprises:
the display forms are data graphs and data tables;
the display content comprises specific numerical values of all monitoring indexes, monitoring results of a plurality of comparison periods and problem data; wherein the problem data is a data value that is deviated from the previous reference data by more than the deviation percentage threshold at a certain time point.
7. A data monitoring apparatus for a Hive data warehouse, comprising:
the Web interface module is used for providing functions of setting monitoring parameters for a user, receiving and displaying the monitoring indexes sent by the analysis module;
and the analysis module is used for receiving the monitoring parameters sent by the Web interface, finding the position of the required data according to the monitoring parameters, acquiring the required monitoring index from the position according to the monitoring parameters, and caching the monitoring index.
8. The apparatus of claim 7, wherein the monitoring parameters comprise:
the method comprises the following steps of table name of a table to be monitored, a database where the table is located, specific monitoring indexes, a same-proportion period of monitoring and a deviation percentage threshold value.
9. The apparatus of claim 7, wherein the monitoring metrics comprise:
the data file size, the total number of data, the maximum and minimum values of the numerical field and the total aggregation value of the numerical field.
10. The apparatus of claim 7, wherein the analysis module comprises:
the first receiving module is used for receiving the monitoring parameters sent by the Web interface;
the searching module is used for finding the data table to be monitored according to the table name of the table to be monitored in the monitoring parameters and the database;
the acquisition module is used for acquiring the time partition of the data table and the required data or the monitoring index;
the comparison module is used for comparing the obtained monitoring indexes according to the comparison period in the monitoring parameters, and if the difference value of the monitoring indexes corresponding to a certain data and the previous comparison period is larger than the deviation percentage threshold value, marking the monitoring indexes as problem data;
the storage module is used for caching the processed monitoring indexes;
and the first sending module is used for sending the processed monitoring index to the Web interface.
11. The apparatus of claim 10, wherein the analysis module further comprises:
and the calculating module is used for calculating the data acquired by the acquiring module to acquire the required monitoring index when the monitoring index set by the user is the most value or the aggregate total value of some fields and other values which need to be acquired through calculation.
12. The apparatus of claim 7, wherein the Web interface module comprises:
the parameter setting module is used for providing a monitoring parameter setting function for a user;
the second sending module is used for sending the monitoring parameters set by the user to the analysis module;
the second receiving module is used for receiving the monitoring index sent by the analysis module;
the display module is used for displaying the received monitoring indexes in the form of a data graph or a data table; the display content comprises specific numerical values of all monitoring indexes, monitoring results of a plurality of comparison periods and problem data.
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| CN112035315A (en) * | 2020-07-31 | 2020-12-04 | 重庆锐云科技有限公司 | Webpage data monitoring method and device, computer equipment and storage medium |
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| CN108197155A (en) * | 2017-12-08 | 2018-06-22 | 深圳前海微众银行股份有限公司 | Information data synchronous method, device and computer readable storage medium |
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Application publication date: 20200117 |