CN108062272A - A kind of quick-fried table detection method of database and terminal - Google Patents
A kind of quick-fried table detection method of database and terminal Download PDFInfo
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- CN108062272A CN108062272A CN201711077120.1A CN201711077120A CN108062272A CN 108062272 A CN108062272 A CN 108062272A CN 201711077120 A CN201711077120 A CN 201711077120A CN 108062272 A CN108062272 A CN 108062272A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
- G06F11/3414—Workload generation, e.g. scripts, playback
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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Abstract
The present invention provides a kind of quick-fried table detection method of database and terminals, comprise the following steps：Extract the field information of database table；If the field type in field information is numeric type, the first maximum currently stored in the field information is obtained；If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient, early warning mark is carried out, obtains label information；According to label information, warning information is sent.The present invention effectively can carry out early warning to the field and corresponding database table for being up to field storage cap value, so that the later maintenance personnel of Database Systems replace the field type of bigger storage cap value in time, and the hard disk of Database Systems, it solves when system is unable to operate normally, maintenance personnel has found the data field type memory space inadequate of database table when searching reason, it is taken considerable time required for temporary replacement field type, the problem of system is caused to be unable to operate normally, brings massive losses.
Description
Technical field
The present invention relates to microcomputer data processing field more particularly to a kind of quick-fried table detection method of database and ends
End.
Background technology
Current most internet site makes its data reach certain scale after reaching the standard grade through accumulation after a while, past
The demand of data growth is can not meet such as toward the set field type most when database table is created is present with：
The country use largest open source community software discuz, set in mysql user's table user from increase id fields as
Mediumint, i.e. system can at most store 16777215 users, once registered user is more than this quantity, whole system
Most of function is present with situation about can not use.Must carry out the change of data field can just store more data, this
A processing procedure extremely takes, and if when having there is the abnormal process for carrying out field change again in field type change
It is middle to need substantial amounts of hard disk free space, if there is hard disk free memory deficiency, it is necessary to carry out the replacement of hard disk.
The content of the invention
The technical problems to be solved by the invention are：The present invention provides a kind of quick-fried table detection method of database and terminal, energy
Enough memory spaces to field type in database table carry out early warning, solve the data field type storage for finding database table
During insufficient space, the problem of being taken considerable time required for temporary replacement field type.
In order to solve the above technical problem, the present invention provides a kind of quick-fried table detection method of database of knowing clearly, including following step
Suddenly：
S1：Extract the field information of database table；
S2：If field type in field information is numeric type, obtain currently stored first in the field information
Maximum；
S3：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient,
Early warning mark is then carried out, obtains label information；
S4：According to label information, warning information is sent.
In order to solve the above-mentioned technical problem, the present invention also provides a kind of quick-fried table detection terminal of database, including memory,
Processor and storage on a memory and the computer program that can run on a processor, during the processor execution described program
Realize following steps：
S1：Extract the field information of database table；
S2：If field type in field information is numeric type, obtain currently stored first in the field information
Maximum；
S3：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient,
Early warning mark is then carried out, obtains label information；
S4：According to label information, warning information is sent.
Beneficial effects of the present invention are：
A kind of quick-fried table detection method of database provided by the invention and terminal, if the field of numeric type is current in database table
First maximum of storage is more than the upper limit value of field storage number and the product of predetermined coefficient, then carries out early warning mark, and
Corresponding warning information is sent, it, can be effectively to the field that is up to field storage cap value and corresponding by the above method
Database table carries out early warning, so that the later maintenance personnel of Database Systems replace the field class of bigger storage cap value in time
The hard disk of type and Database Systems is solved when system is unable to operate normally, and maintenance personnel has found data when searching reason
The data field type memory space inadequate of storehouse table, temporarily change field type required for take considerable time, cause system without
Method normal operation, the problem of bringing massive losses.
Description of the drawings
Fig. 1 is the key step schematic diagram according to a kind of quick-fried table detection method of database of the embodiment of the present invention；
Fig. 2 is the structure diagram according to a kind of quick-fried table detection terminal of database of the embodiment of the present invention；
Label declaration：
1st, memory；2nd, processor.
Specific embodiment
For the technology contents that the present invention will be described in detail, the objects and the effects, below in conjunction with embodiment and coordinate attached
Figure is explained in detail.
Fig. 1 is refer to, the present invention provides a kind of quick-fried table detection methods of database, comprise the following steps：
S1：Extract the field information of database table；
S2：If field type in field information is numeric type, obtain currently stored first in the field information
Maximum；
S3：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient,
Early warning mark is then carried out, obtains label information；
S4：According to label information, warning information is sent.
As can be seen from the above description, the quick-fried table detection method of a kind of database provided by the invention, if numeric type in database table
Currently stored the first maximum of field be more than the upper limit value of field storage number and the product of predetermined coefficient, then carry out pre-
Alert mark, and corresponding warning information is sent, it, can be effectively to being the field for being up to field storage cap value by the above method
And corresponding database table carries out early warning, so that the later maintenance personnel of Database Systems replace bigger storage cap value in time
The hard disk of field type and Database Systems is solved when system is unable to operate normally, and maintenance personnel sends out when searching reason
Show the data field type memory space inadequate of database table, take considerable time, cause required for temporary replacement field type
System is unable to operate normally, the problem of bringing massive losses.
Further, further included between the S2 and S3：
Obtain the history field information of the database table；
According to the history field information, the average growth rate of the maximum stored in field information is acquired.
As can be seen from the above description, by the above method, the balanced growth of the maximum stored in field information can be obtained
Rate, so as to the first maximum in present field information, when estimating that the storage maximum of the field type reaches upper limit value
The required time, convenient for system maintenance, personnel replace field type in time, ensure the normal operation of system.
Further, " according to the history field information, the average increasing of the maximum stored in field information is acquired
Long rate " is specially：
According to the history field information, each day maximum stored in field information in corresponding historical time is obtained
Value, obtains maximum value set；The element of the maximum value set is arranged with its corresponding historical time sequencing；
According to adjacent two element all in the maximum value set, multiple daily progression rates is calculated；
The average value of the multiple daily progression rate is calculated, obtains the average growth rate.
As can be seen from the above description, by the above method, the maximum that can store in the quick obtaining field information it is flat
Equal growth rate improves the efficiency of data processing.
Further, further included between the S2 and S3：
According to first maximum and average growth rate, stored after judgement default first time in the field information
Whether maximum is more than the upper limit value, if otherwise performing step S3；
If so, after marking the field information, step S4 is performed；The label information includes database table name and field
Title.
As can be seen from the above description, by the above method, the storage of field type in above-mentioned database table can be detected most
Whether big value reaches upper limit value after the first time, if meeting, early warning, system maintenance personnel is made, which to replace in time, to be stored
The field type of bigger upper limit value ensures the normal operation of system.
Further, the S4 is specially：
The label information includes database table name and field name, every default second time according to the database table
Name and field name, send corresponding alarm mail.
As can be seen from the above description, by the above method, effectively maintenance personnel can be reminded, and it is above-mentioned second when
It is interior only to remind once, the routine work of maintenance personnel can't be bothered.
Fig. 2 is refer to, a kind of quick-fried table detection terminal of database provided by the invention including memory 1, processor 2 and is deposited
Store up on memory 1 and the computer program that can be run on processor 2, when the processor 2 performs described program realization with
Lower step：
S1：Extract the field information of database table；
S2：If field type in field information is numeric type, obtain currently stored first in the field information
Maximum；
S3：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient,
Early warning mark is then carried out, obtains label information；
S4：According to label information, warning information is sent.
Further, the quick-fried table detection terminal of a kind of database, further includes between the S2 and S3：
Obtain the history field information of the database table；
According to the history field information, the average growth rate of the maximum stored in field information is acquired.
Further, the quick-fried table detection terminal of a kind of database, which is characterized in that " believed according to the history field
Breath acquires the average growth rate of the maximum stored in field information " be specially：
According to the history field information, each day maximum stored in field information in corresponding historical time is obtained
Value, obtains maximum value set；The element of the maximum value set is arranged with its corresponding historical time sequencing；
According to adjacent two element all in the maximum value set, multiple daily progression rates is calculated；
The average value of the multiple daily progression rate is calculated, obtains the average growth rate.
Further, the quick-fried table detection terminal of a kind of database, further includes between the S2 and S3：
According to first maximum and average growth rate, stored after judgement default first time in the field information
Whether maximum is more than the upper limit value, if otherwise performing step S3；
If so, after marking the field information, step S4 is performed；The label information includes database table name and field
Title.
Further, a kind of quick-fried table detection terminal of database, the S4 are specially：
The label information includes database table name and field name, every default second time according to the database table
Name and field name, send corresponding alarm mail.
The embodiment of the present invention one is：
The present invention provides a kind of quick-fried table detection methods of database, comprise the following steps：
S1：Extract the field information of database table；
S2：If field type in field information is numeric type, obtain currently stored first in the field information
Maximum；
S3：Obtain the history field information of the database table；According to the history field information, field letter is acquired
The average growth rate of the maximum stored in breath.
It is wherein preferred, " according to the history field information, acquire being averaged for the maximum that is stored in field information
Growth rate " is specially：
According to the history field information, each day maximum stored in field information in corresponding historical time is obtained
Value, obtains maximum value set；The element of the maximum value set is arranged with its corresponding historical time sequencing；
According to adjacent two element all in the maximum value set, multiple daily progression rates is calculated；
The average value of the multiple daily progression rate is calculated, obtains the average growth rate；
Wherein, it is preferred that the history field information is the field information in the past in one month.
S4：According to first maximum and average growth rate, deposited after judgement default first time in the field information
Whether the maximum of storage is more than the upper limit value, if otherwise performing step S5；
If so, after marking the field information, step S6 is performed；The label information includes database table name and field
Title；
Wherein, it is preferred that the first time is one month；
S5：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient,
Early warning mark is then carried out, obtains label information；The system is less than 1；
Wherein, it is preferred that the system is 0.85；
S6：According to label information, warning information is sent.
Wherein, it is preferred that the S6 is specially：
The label information includes database table name and field name, every default second time according to the database table
Name and field name, send corresponding alarm mail；
Wherein, it is preferred that second time is one day.
Fig. 2 is refer to, the embodiment of the present invention two is：
The present invention provides a kind of quick-fried table detection terminals of database, including memory, processor and are stored in memory
Computer program that is upper and can running on a processor, the processor realize following steps when performing described program：
S1：Extract the field information of database table；
S2：If field type in field information is numeric type, obtain currently stored first in the field information
Maximum；
S3：Obtain the history field information of the database table；According to the history field information, field letter is acquired
The average growth rate of the maximum stored in breath.
It is wherein preferred, " according to the history field information, acquire being averaged for the maximum that is stored in field information
Growth rate " is specially：
According to the history field information, each day maximum stored in field information in corresponding historical time is obtained
Value, obtains maximum value set；The element of the maximum value set is arranged with its corresponding historical time sequencing；
According to adjacent two element all in the maximum value set, multiple daily progression rates is calculated；
The average value of the multiple daily progression rate is calculated, obtains the average growth rate；
Wherein, it is preferred that the history field information is the field information in the past in one month.
S4：According to first maximum and average growth rate, deposited after judgement default first time in the field information
Whether the maximum of storage is more than the upper limit value, if otherwise performing step S5；
If so, after marking the field information, step S6 is performed；The label information includes database table name and field
Title；
Wherein, it is preferred that the first time is one month；
S5：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient,
Early warning mark is then carried out, obtains label information；The system is less than 1；
Wherein, it is preferred that the system is 0.85；
S6：According to label information, warning information is sent.
Wherein, it is preferred that the S6 is specially：
The label information includes database table name and field name, every default second time according to the database table
Name and field name, send corresponding alarm mail；
Wherein, it is preferred that second time is one day.
The embodiment of the present invention three is：
By taking the database table detection of mysql as an example：
1st, information extraction modules obtain tables of data all in some storehouse by show tables, order.
2nd, all tables of data that information extraction modules obtain in analysis module traversal 1 perform each table order desc (drops
Sequence arranges), all fields field type corresponding with its of the table is obtained, judges whether it is numeric type, if the field is
Numeric type is then using order select max (field name) from table names；It obtains its maximum and is stored.Calculate the word
The daily average growth rate of section history maximum, i.e. (day2/day1+day3/day2+day4/day3+.....+dayn/
Dayn-1)/n-1 wherein n are the item number of the historical data of the field stored in system, obtain that the field data is daily to be averaged
Growth rate.Further according to present field the field upper limit such as：Int types are (2147483647 have symbol), (4294967295 without symbol
Number)；Mediumint types are (8388607 have symbol), (16777215 without symbol)；Smallint types for (32767 have symbol),
(65535 without symbol)；The maximum that tinyint types subtract present field for (127 have symbol), (255 without symbol) is worth to currently
The residue of field can increased numbers.By residue can increased numbers divided by the daily average growth rate of the field data obtained above calculate
The field reaches the number of days that the data upper limit also needs to.If the pre-warning time that the number of days is more than or equal to warning module configuration (is defaulted as 1
A month, can be configured by early warning threshold values configuration module) it is to need to alarm to the field mark, continue to judge next word
Section judges the maximum of the field divided by the field upper limit of the field if the number of days is less than the pre-warning time of warning module configuration
The percentage whether obtained value alreadys exceed systemic presupposition (is defaulted as 85%, can be matched somebody with somebody by early warning threshold values configuration module
Put) then to the field mark to need to alarm, continue to judge next field.
3rd, the field transmission alarm mail that alarm module is alarmed according to the needs that analysis module in 2 marks (includes quick-fried table
The data sheet field of risk and corresponding table name), and the last time of fire alarming of corresponding field is recorded, it is not right within the unit interval
The field alarmed carry out second of alarm (be defaulted as 24 it is small when, can be configured by early warning threshold values configuration module).
In conclusion a kind of quick-fried table detection method of database provided by the invention and terminal, if numeric type in database table
The currently stored maximum of field be more than the upper limit value of field storage number and the product of predetermined coefficient, then carry out early warning mark
Note, and sends corresponding warning information, can be effectively to the field that is up to field storage cap value and right by the above method
The database table answered carries out early warning, so that the later maintenance personnel of Database Systems replace the field of bigger storage cap value in time
The hard disk of type and Database Systems is solved when system is unable to operate normally, and maintenance personnel has found number when searching reason
According to the data field type memory space inadequate of storehouse table, taken considerable time required for temporary replacement field type, cause system
The problem of being unable to operate normally, bringing massive losses.
The foregoing is merely the embodiment of the present invention, are not intended to limit the scope of the invention, every to utilize this hair
The equivalents that bright specification and accompanying drawing content are made directly or indirectly are used in other related technical areas, similarly
It is included within the scope of the present invention.
Claims (10)
1. a kind of quick-fried table detection method of database, which is characterized in that comprise the following steps：
S1：Extract the field information of database table；
S2：If the field type in field information is numeric type, the first maximum currently stored in the field information is obtained
Value；
S3：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient, into
Row early warning marks, and obtains label information；
S4：According to label information, warning information is sent.
2. the quick-fried table detection method of a kind of database according to claim 1, which is characterized in that also wrapped between the S2 and S3
It includes：
Obtain the history field information of the database table；
According to the history field information, the average growth rate of the maximum stored in field information is acquired.
3. the quick-fried table detection method of a kind of database according to claim 2, which is characterized in that " according to the history field
Information acquires the average growth rate of the maximum stored in field information " be specially：
According to the history field information, each day maximum stored in field information in corresponding historical time is obtained, is obtained
To maximum value set；The element of the maximum value set is arranged with its corresponding historical time sequencing；
According to adjacent two element all in the maximum value set, multiple daily progression rates is calculated；
The average value of the multiple daily progression rate is calculated, obtains the average growth rate.
4. the quick-fried table detection method of a kind of database according to claim 2, which is characterized in that also wrapped between the S2 and S3
It includes：
According to first maximum and average growth rate, the maximum stored in the field information after default first time is judged
Whether value is more than the upper limit value, if otherwise performing step S3；
If so, after marking the field information, step S4 is performed；The label information includes database table name and field name
Claim.
5. the quick-fried table detection method of a kind of database according to claim 1, which is characterized in that the S4 is specially：
The label information includes database table name and field name, every default second time according to the database table name and
Field name sends corresponding alarm mail.
6. a kind of quick-fried table detection terminal of database, including memory, processor and storage on a memory and can be on a processor
The computer program of operation, which is characterized in that the processor realizes following steps when performing described program：
S1：Extract the field information of database table；
S2：If the field type in field information is numeric type, the first maximum currently stored in the field information is obtained
Value；
S3：If first maximum is more than the upper limit value of field type storage number and the product of predetermined coefficient, into
Row early warning marks, and obtains label information；
S4：According to label information, warning information is sent.
7. the quick-fried table detection terminal of a kind of database according to claim 6, which is characterized in that also wrapped between the S2 and S3
It includes：
Obtain the history field information of the database table；
According to the history field information, the average growth rate of the maximum stored in field information is acquired.
8. the quick-fried table detection terminal of a kind of database according to claim 7, which is characterized in that " according to the history field
Information acquires the average growth rate of the maximum stored in field information " be specially：
According to the history field information, each day maximum stored in field information in corresponding historical time is obtained, is obtained
To maximum value set；The element of the maximum value set is arranged with its corresponding historical time sequencing；
According to adjacent two element all in the maximum value set, multiple daily progression rates is calculated；
The average value of the multiple daily progression rate is calculated, obtains the average growth rate.
9. the quick-fried table detection terminal of a kind of database according to claim 7, which is characterized in that also wrapped between the S2 and S3
It includes：
According to first maximum and average growth rate, the maximum stored in the field information after default first time is judged
Whether value is more than the upper limit value, if otherwise performing step S3；
If so, after marking the field information, step S4 is performed；The label information includes database table name and field name
Claim.
10. the quick-fried table detection terminal of a kind of database according to claim 6, which is characterized in that the S4 is specially：
The label information includes database table name and field name, every default second time according to the database table name and
Field name sends corresponding alarm mail.
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| CN201711077120.1A CN108062272A (en) | 2017-11-06 | 2017-11-06 | A kind of quick-fried table detection method of database and terminal |
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ID=62135698
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737404A (en) * | 2020-06-26 | 2020-10-02 | 豆盟(北京)科技股份有限公司 | Data processing method, device, equipment and computer storage medium |
| CN112597170A (en) * | 2020-12-31 | 2021-04-02 | 平安银行股份有限公司 | Redis database optimization method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050125531A1 (en) * | 1999-07-09 | 2005-06-09 | Barry Singer | System for collecting, analyzing, and reporting high volume multi-web server usage |
| CN103412911A (en) * | 2013-08-02 | 2013-11-27 | 中国工商银行股份有限公司 | Method and device for monitoring performance of database system |
| CN104462612A (en) * | 2015-01-05 | 2015-03-25 | 浪潮(北京)电子信息产业有限公司 | Method and device for monitoring database information |
| CN104699807A (en) * | 2015-03-23 | 2015-06-10 | 上海新炬网络信息技术有限公司 | Automatic monitoring and expansion method for ORACLE data table space |
| CN105095496A (en) * | 2015-08-24 | 2015-11-25 | 浪潮软件股份有限公司 | Method for monitoring MYSQL table space through ZABBIX |
-
2017
- 2017-11-06 CN CN201711077120.1A patent/CN108062272A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050125531A1 (en) * | 1999-07-09 | 2005-06-09 | Barry Singer | System for collecting, analyzing, and reporting high volume multi-web server usage |
| CN103412911A (en) * | 2013-08-02 | 2013-11-27 | 中国工商银行股份有限公司 | Method and device for monitoring performance of database system |
| CN104462612A (en) * | 2015-01-05 | 2015-03-25 | 浪潮(北京)电子信息产业有限公司 | Method and device for monitoring database information |
| CN104699807A (en) * | 2015-03-23 | 2015-06-10 | 上海新炬网络信息技术有限公司 | Automatic monitoring and expansion method for ORACLE data table space |
| CN105095496A (en) * | 2015-08-24 | 2015-11-25 | 浪潮软件股份有限公司 | Method for monitoring MYSQL table space through ZABBIX |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111737404A (en) * | 2020-06-26 | 2020-10-02 | 豆盟(北京)科技股份有限公司 | Data processing method, device, equipment and computer storage medium |
| CN112597170A (en) * | 2020-12-31 | 2021-04-02 | 平安银行股份有限公司 | Redis database optimization method and system |
| CN112597170B (en) * | 2020-12-31 | 2024-02-06 | 平安银行股份有限公司 | Redis database optimization method and system |
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Application publication date: 20180522 |