CN111382919A - Operation index automatic monitoring method and device - Google Patents
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Abstract
The application discloses an operation index automatic monitoring method and a device, wherein the method comprises the following steps: acquiring an operation index rate in a period and storing the operation index rate in a first data table; dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method; and sending the abnormal index rate and the normal index rate to a monitoring interface. The method can realize automatic monitoring of the operation indexes every day, avoid manual statistics errors, improve the accuracy of the operation indexes, and improve the timeliness of monitoring the operation indexes.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to an automatic operation index monitoring method and device.
Background
With the development of the information age, data generated by information systems is continuously increasing. The various operation indexes calculated by the enterprises by using the data can obtain a lot of valuable potential information.
In the prior art, the analysis and monitoring of the operation indexes depend on manpower, along with the increase of the operation indexes and the increase of the requirements on the quality and the timeliness of the operation indexes, a large amount of manpower and financial resources are consumed by manual analysis and monitoring, but the efficiency is still low.
Disclosure of Invention
In view of the above-mentioned drawbacks and deficiencies in the prior art, it is desirable to provide an operation index automatic monitoring method and apparatus.
In a first aspect, the present invention provides an automatic operation index monitoring method, including:
acquiring an operation index rate in a period and storing the operation index rate in a first data table;
dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method;
and sending the abnormal index rate and the normal index rate to a monitoring interface.
In one embodiment, dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method includes:
determining a first quartile and a third quartile of the operation index rate;
determining a quartile distance according to the first quartile and the third quartile;
determining a first threshold value and a second threshold value according to the first quartile, the third quartile and the quartile distance;
and determining the operation index rate smaller than the first threshold value or larger than the second threshold value as an abnormal index rate, and determining the rest operation index rates as normal index rates.
In one embodiment, the monitoring interface is integrated with at least one of an instant messaging system, an instant chat system, and an electronic communication system.
In one embodiment, the method further comprises the following steps:
and monitoring the running state of the monitoring interface, wherein the running state of the monitoring interface comprises success, failure and overtime.
In one embodiment, sending the abnormal index rate and the normal index rate to the monitoring interface includes:
respectively storing the abnormal index rate and the normal index rate to a first text variable and a second text variable;
and sending the first text variable and the second text variable to a monitoring interface.
In a second aspect, the present invention provides an automatic operation index monitoring device, including:
the acquisition module is used for acquiring the operation index rate in a period and storing the operation index rate in a first data table;
the dividing module is used for dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method;
and the sending module is used for sending the abnormal index rate and the normal index rate to the monitoring interface.
In one embodiment, the partitioning module comprises:
the first determining unit is used for determining a first quartile and a third quartile of the operation index rate;
the second determining unit is used for determining the quarter-quantile distance according to the first quartile and the third quartile;
the third determining unit is used for determining a first threshold value and a second threshold value according to the first quartile, the third quartile and the quartile distance;
and a fourth determination unit configured to determine an operation index rate that is less than or equal to the first threshold and greater than or equal to the second threshold as an abnormal index rate, and determine the remaining operation index rates as normal index rates.
In one embodiment, the monitoring interface is integrated with at least one of an instant messaging system, an instant chat system, and an electronic communication system.
In one embodiment, the method further comprises the following steps:
and the monitoring module is used for monitoring the running state of the monitoring interface, wherein the running state of the monitoring interface comprises success, failure and overtime.
In one embodiment, the sending module is further configured to store the abnormal index rate and the normal index rate to the first text variable and the second text variable, respectively; and sending the first text variable and the second text variable to a monitoring interface.
The method and the device for automatically monitoring the operation indexes, provided by the embodiment, acquire the operation index rate in a period, divide the operation index rate into a normal index rate and an abnormal index rate, and send the abnormal index rate and the normal index rate to the monitoring interface, so that the automatic monitoring of the operation indexes every day can be realized, the manual counting error is avoided, the accuracy of the operation indexes is improved, and meanwhile, the timeliness of monitoring the operation indexes is also improved.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic flow chart of an operation index automatic monitoring method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an operation index automatic monitoring apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a partitioning module according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
As mentioned in the background art, the amount of the existing operation data is larger and larger, the requirements of people on the quality and the timeliness of the operation indexes are higher and higher, the analysis and the monitoring of the operation indexes depend on manpower, and along with the increase of the operation indexes, the manual analysis and the monitoring consume a large amount of manpower and financial resources, but the efficiency is still lower. Therefore, it is desirable to provide an automatic operation index monitoring method, which can improve the efficiency of operation index monitoring.
Referring to fig. 1, an exemplary flowchart of an operation index automatic monitoring method according to an embodiment of the present application is shown.
As shown in fig. 1, in step 110, the operation index rate in one period is obtained and stored in the first data table.
Wherein, a period can be set according to a specific application scenario or application requirement, and for example, 7 natural days of a week. Of course, in order to monitor the operation index, a cycle refers to a cycle calculated from the current day to the previous day, and if the cycle is 7 natural days and the current day is 2018, 10, month and 15 days, the operation index rate in the cycle refers to the operation index rate from 2018, 10, month and 8 days to 2018, 10, month and 15 days.
The operation index rate in one period is obtained in order to compare the data of the current day with the data in one period.
The operation index rate may be, for example, an average rate, an increase rate, a pass rate, or the like.
The first data table is used for storing the operation index rate, and the first data table is established in a database, such as Hive, Oracle and the like.
Hive depends on HDFS (Hadoop Distributed File System) and MapReduce (a programming model, mapping and simplification); the method is used for big data parallel operation. Hive can provide a language similar to SQL to realize a large amount of data stored in HDFS, and even a user who is not familiar with MapReduce can conveniently analyze summarized data by using the SQL language. Based on the above, in this embodiment, it is preferable that the first data table is built in Hive, so that data calculation can be performed in Hive through SQL-like language even when a developer or a service person is unfamiliar with Mapreduce model.
In addition, Hive has obvious advantages in mass data storage and distributed computing. Therefore, when the data index at PB (Peerbyte) level is processed by offline analysis, the speed is faster than that of the traditional Oracle and Mysql. The operation index data in this embodiment, including the normal index and the abnormal index, is calculated based on the detailed data of hundred million levels. The processing power of Hive in terms of large data volume can be fully utilized.
In step 120, the operation index rate in the first data table is divided into an abnormal index rate and a normal index rate according to a quartile method.
The quartile method is an analysis method in statistics, and specifically comprises the following steps: arranging all data from small to large, the number arranged at the front 1/4 position (i.e., the number at the 25% position) is called the first quartile, the number arranged at the rear 1/4 position (i.e., the number at the 75% position) is called the third quartile, and the number arranged at the middle position (i.e., the number at the 50% position) is called the second quartile, i.e., the median value.
In this embodiment, the abnormal index rate may be stored in the second data table, and the normal index rate may be stored in the third data table. The abnormal index rate and the normal index rate can be conveniently read in the subsequent steps. As mentioned above, the second data table and the third data table can also be built in a database, such as Hive, Oracle, etc. In this embodiment, the second data table and the third data table are also preferably built in Hive, which is not described herein for the reasons described above.
In one embodiment, the operation index rate in the first data table is divided into an abnormal index rate and a normal index rate according to a quartile method, as shown in fig. 2, which includes the following steps:
in step 210, a first quartile and a third quartile of the operation index rate are determined.
Specifically, each operation index rate in one period is sorted from small to large and divided into four equal parts, and data at 25% and 75% positions after the operation index rates are sorted are a first quartile Q1 and a third quartile Q3 respectively.
In step 220, a quartile range is determined based on the first quartile and the third quartile.
Specifically, assuming that the first Quartile is Q1 and the third Quartile is Q3, the interquartile Range (IQR) determined from the first Quartile and the third Quartile is IQR-Q3-Q1.
In step 230, a first threshold and a second threshold are determined according to the first quartile, the third quartile, and the quartile range.
Specifically, assuming that the first quartile is Q1, the third quartile is Q3, and the quartile distance is IQR, the first threshold is Q1-n × IQR and the second threshold is Q3+ n × IQR.
In step 240, the operation index rate smaller than the first threshold value or larger than the second threshold value is determined as an abnormal index rate, and the remaining operation index rates are determined as normal index rates.
Specifically, when the operation index rate is less than a first threshold Q1-n × IQR or greater than a second threshold Q3+ n × IQR, the operation index rate is determined as an abnormal index rate, whereas when the operation index rate is within a range of [ Q1-n × IQR, Q3+ n × IQR ], the operation index rate is determined as a normal index rate, where n may be set according to a specific application scenario or application requirement, and may be, for example, 1.5.
In step 130, the abnormal index rate and the normal index rate are sent to the monitoring interface.
The monitoring interface is used for sending out state information of the monitored operation indexes. And reading information such as a receiver list, a receiving channel, an early warning prompt and the like of the operation index rate at the monitoring interface.
The automatic operation index monitoring method provided by this embodiment obtains the operation index rate in a period, divides the operation index rate into the normal index rate and the abnormal index rate, and sends the abnormal index rate and the normal index rate to the monitoring interface, so that the automatic monitoring of the operation index every day can be realized, the manual statistic error is avoided, the accuracy of the operation index is improved, and meanwhile, the timeliness of monitoring the operation index is also improved.
In one embodiment, sending the abnormal index rate and the normal index rate to the monitoring interface includes:
and respectively storing the abnormal index rate and the normal index rate to a first text variable and a second text variable, and sending the first text variable and the second text variable to a monitoring interface.
Specifically, reading the abnormal index rate and the normal index rate stored in the database, respectively storing the read abnormal index rate and the read normal index rate in a first text variable and a second text variable, performing format standardization processing on the first text variable and the second text variable according to a sending format requirement, and sending the first text variable and the second text variable after the format standardization processing to a monitoring interface. The first text variable and the second text variable can be custom variables of the Shell respectively. The Shell can receive user commands, interactively interpret and execute user input commands, and can define many variables and parameters, and can store or output specific data in the user commands. In this embodiment, the abnormal index rate and the normal index rate stored in Hive are extracted and stored in the first text variable and the second text variable, which are the custom variables of the Shell, respectively, and the text data in the custom variables are processed in a special format according to a special output format, such as a short message/email, integrated by the following monitoring interface. The operation index operation result is sent based on text data, and the Shell depends on commands such as awk, sed and echo in the aspect of text processing, so that the quite complicated problem can be conveniently and quickly processed.
If the obtained operation index rate in one period has no abnormal index rate, the monitoring interface sends the operation index rates of all operation indexes in the day, and if the obtained operation index rate in one period has the abnormal index rate of the operation indexes, the monitoring interface sends the operation index rates of all operation indexes in the day and sends abnormal conditions of the abnormal indexes, including abnormal dates and abnormal index rates.
In one embodiment, the monitoring interface is integrated with at least one of an instant messaging system, an instant chat system, and an electronic communication system.
Specifically, the instant messaging system is short message, the instant chat system is enterprise WeChat, and the electronic communication system is email.
In this embodiment, the monitoring interface integrates multiple channels and is used for sending the state information of the operation index monitored, and through the monitoring of multiple modes, monitoring data can be obtained at the first time, and the operation index condition can be known more efficiently.
In one embodiment, the operation status of the monitoring interface is monitored, and the operation status of the monitoring interface comprises success, failure and timeout.
Specifically, the operation state of the monitoring interface also needs to be monitored in real time, for example, when the operation state of the monitoring interface is failure, the operation index rate sent by the monitoring interface is not received by the short message receiver, the enterprise WeChat receiver, or the email address receiver, and then an alarm notification of the monitoring interface failure is sent.
This embodiment, through the running state of control monitoring interface, when can not receiving operation index information, whether can be timely know for control monitoring interface operation unusual, timely problem solving improves efficiency.
Fig. 3 is a schematic structural diagram of an operation index automatic monitoring apparatus 300 according to an embodiment of the present invention. As shown in fig. 3, the apparatus may implement the method shown in fig. 1, and the apparatus may include:
an obtaining module 310, configured to obtain an operation index rate in a period and store the operation index rate in a first data table;
the dividing module 320 is configured to divide the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method;
the sending module 330 is configured to send the abnormal index rate and the normal index rate to the monitoring interface.
Optionally, as shown in fig. 4, a schematic structural diagram of the dividing module 320 provided in the embodiment of the present invention is provided. As shown in fig. 4, the dividing module 320 includes:
a first determining unit 410, configured to determine a first quartile and a third quartile of the operation index rate;
a second determining unit 420, configured to determine a quartile distance according to the first quartile and the third quartile;
a third determining unit 430, configured to determine a first threshold and a second threshold according to the first quartile, the third quartile, and the quartile distance;
a fourth determining unit 440, configured to determine an operation index rate that is less than or equal to the first threshold and greater than or equal to the second threshold as an abnormal index rate, and determine the remaining operation index rates as normal index rates.
Optionally, the monitoring interface integrates at least one of an instant messaging system, an instant chat system, and an electronic communication system.
Optionally, the apparatus further comprises:
and the monitoring module is used for monitoring the running state of the monitoring interface, wherein the running state of the monitoring interface comprises success, failure and overtime.
Optionally, the sending module is further configured to store the abnormal index rate and the normal index rate to the first text variable and the second text variable, respectively; and sending the first text variable and the second text variable to a monitoring interface.
The operation index automatic monitoring device provided by this embodiment may implement the embodiments of the above method, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention. As shown in fig. 5, a schematic structural diagram of a computer system 500 suitable for implementing the terminal device or the server of the embodiment of the present application is shown.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 506 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to embodiments of the present application, the process described above with reference to fig. 1 may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program containing program code for performing the above-described method for automatic monitoring of operational metrics. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor. The names of these units or modules do not in some cases constitute a limitation of the unit or module itself. The described units or modules may also be provided in a processor, and may be described as: a processor comprises an acquisition module, a division module and a sending module. The names of the units or modules do not limit the units or modules in some cases, for example, the obtaining module may also be described as a "module for obtaining the operation index rate in one period and storing the operation index rate in the first data table".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device is enabled to implement the operation index automatic monitoring method in the embodiment.
For example, the electronic device may implement the following as shown in fig. 1: step 110, obtaining an operation index rate in a period and storing the operation index rate in a first data table; step 120, dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method; and step 130, sending the abnormal index rate and the normal index rate to a monitoring interface. As another example, the electronic device may implement the various steps as shown in fig. 2.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods herein are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware.
Claims (10)
1. An operation index automatic monitoring method is characterized by comprising the following steps:
acquiring an operation index rate in a period and storing the operation index rate in a first data table;
dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method;
and sending the abnormal index rate and the normal index rate to a monitoring interface.
2. The method according to claim 1, wherein the dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method comprises:
determining a first quartile and a third quartile of the operation index rate;
determining a quartile distance according to the first quartile and the third quartile;
determining a first threshold value and a second threshold value according to the first quartile, the third quartile and the quartile distance;
determining the operation index rate smaller than the first threshold value or larger than the second threshold value as the abnormal index rate, and determining the rest of the operation index rates as the normal index rate.
3. The automatic operation index monitoring method as claimed in claim 1, wherein the monitoring interface is integrated with at least one of an instant messaging system, an instant chat system and an electronic communication system.
4. The automatic operation index monitoring method according to any one of claims 1 to 3, further comprising:
and monitoring the running state of the monitoring interface, wherein the running state of the monitoring interface comprises success, failure and overtime.
5. The automatic operation index monitoring method according to any one of claims 1 to 3, wherein sending the abnormal index rate and the normal index rate to a monitoring interface comprises:
respectively storing the abnormal index rate and the normal index rate to a first text variable and a second text variable;
and sending the first text variable and the second text variable to a monitoring interface.
6. An operation index automatic monitoring device is characterized by comprising:
the acquisition module is used for acquiring the operation index rate in a period and storing the operation index rate in a first data table;
the dividing module is used for dividing the operation index rate in the first data table into an abnormal index rate and a normal index rate according to a quartile method;
and the sending module is used for sending the abnormal index rate and the normal index rate to a monitoring interface.
7. The automatic operation index monitoring device according to claim 6, wherein the dividing module comprises:
a first determination unit configured to determine a first quartile and a third quartile of the operation index rate;
the second determining unit is used for determining a quartile distance according to the first quartile and the third quartile;
a third determining unit, configured to determine a first threshold and a second threshold according to the first quartile, the third quartile, and the quartile distance;
a fourth determination unit configured to determine the operation index rate that is less than or equal to the first threshold and greater than or equal to the second threshold as the abnormal index rate, and determine the remaining operation index rates as the normal index rate.
8. The automatic operation index monitoring device as claimed in claim 5, wherein the monitoring interface is integrated with at least one of an instant messaging system, an instant chat system and an electronic communication system.
9. The automatic operation index monitoring device according to any one of claims 6 to 8, further comprising:
and the monitoring module is used for monitoring the running state of the monitoring interface, wherein the running state of the monitoring interface comprises success, failure and overtime.
10. The automatic operation index monitoring device according to any one of claims 6 to 8, wherein the sending module is further configured to store an abnormal index rate and a normal index rate to the first text variable and the second text variable, respectively; and sending the first text variable and the second text variable to a monitoring interface.
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