JP3698945B2 - Data update processing method - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a data update processing method, and more particularly to a data update processing method capable of variably controlling a data protection range by a data protection pattern.
[0002]
[Prior art]
In general, a data update system enables parallel operations by performing exclusive control when a plurality of processing requests simultaneously access the same table.
[0003]
As an example of such a data update technique, a “table exclusive control method in a relational database system” described in Japanese Patent Laid-Open No. 63-191248 is known.
[0004]
This publication relates to a table exclusive control method in a database system, and describes a technique for performing exclusive control of a table that is effective for controlling different columns in a table for each processing request. Exclusive control is realized by extending the minimum unit.
[0005]
FIG. 8 is a block diagram showing a conventional data update processing method.
[0006]
A conventional data update processing method includes a processing request unit 8 that outputs request information 81 and 82, an exclusive control execution processing unit 9 that performs exclusive control, a database 101 of tables used for processing, element units, record units, The storage device 10 stores management information 102 for managing the presence or absence of an exclusive request in units of files.
[0007]
The exclusive control execution processing unit 9 has a processing request analysis phase 91 and a processing execution phase 92. The processing request analysis phase 91 manages an exclusive request for each element for each request using the database 101 and the management information 102, and the processing execution phase 92 performs an exclusive request for the element unit for each request for the management information 102. Whether or not the data update process can be executed is determined by determining the presence or absence.
[0008]
[Problems to be solved by the invention]
In the conventional data update processing method described above, protection control in data operations such as a database is in element units, record units, and file units, and is not considered between elements, elements between records, and elements between files. There are disadvantages that data protection control cannot be performed in units corresponding to each other, and that sequential processing control is required in update processing for a plurality of elements.
[0009]
Also, since protection control processing between elements must be considered for each element, it is necessary to prepare information for each element when performing data protection control between elements, elements between records, and elements between files. Management information increases, and the update time becomes longer.
[0010]
An object of the present invention is to provide a data update processing method that can change a data protection range without requiring sequence control and that can minimize the data protection range.
[0011]
[Means for Solving the Problems]
  The data update processing method of the present invention includes an input device that inputs data, a data update processing device that operates under program control, a storage device that stores information, and an output device that outputs data,
  The storage device includes an update data file, an update target data file, and a data protection information file,
  The update data file temporarily stores each request data consisting of binary or character, the update target data file stores data in a database, the data protection information file is between update target data files, Store the relationship between records and elements in advance,
  The data update processing device includes a first update pattern creation unit, a second update pattern creation unit, and a data update unit,
  The first update pattern creation unit is stored in the storage deviceIn-file element group possessed by the data protection information file based on the first update request data indicating the request types of new / change / delete included in the update data file, key elements, and various update elements Process all the elements based on the association information and the relationship information between the elements toCreate a first update pattern,
  The second update pattern creation unit is configured by taking into account a pattern processing result processed by the data update unit based on the first update pattern created by the first update pattern creation unit. The update pattern is generated and the second update pattern is output to the data update unit again.
  The data update unit includes the first update pattern created by the first update pattern creation unit, the second update pattern created by the second update pattern creation unit, and the first update request. An update instruction for the information data stored in the update target data file is output using the data and the second update request data requested from the update data file.
[0018]
When it is determined that the update is possible by re-evaluation of the update result when the update cannot be performed, the functional operation of the second update pattern creation unit is performed by the update result information output from the update target data file, On the other hand, when it becomes impossible to update the information data stored in the update target data file, the data update unit disables the update data, and the output device displays a message indicating that the update is not possible and the processing result. It is characterized by responding.
[0019]
The data update unit outputs an access level update signal for updating the access level to the data protection information file, and inputs an access level read signal for reading the access level from the data protection information file.
[0020]
  An input device that performs data input; a data update processing device that operates under program control; a storage device that stores information; and an output device that outputs data;
  The storage device includes an update data file, an update target data file, and a data protection information file,
  The update data file temporarily stores each request data consisting of binary or character, the update target data file stores data in a database, the data protection information file is between update target data files, Store the relationship between records and elements in advance,
  The data update processing device includes a first update pattern creation unit, a second update pattern creation unit, a data update unit, an update pattern division unit, and a divided data update unit,
  The first update pattern creation unit is stored in the storage deviceIn-file element group possessed by the data protection information file based on the first update request data indicating the request types of new / change / delete included in the update data file, key elements, and various update elements Process all the elements based on the association information and the relationship information between the elements toCreate a first update pattern,
  The second update pattern creation unit is configured by taking into account a pattern processing result processed by the data update unit based on the first update pattern created by the first update pattern creation unit. The update pattern is generated and the second update pattern is output to the data update unit again.
  The data update unit includes the first update pattern created by the first update pattern creation unit, the second update pattern created by the second update pattern creation unit, and the first update request. Dividing the update pattern created in the request unit of the data and the data file for update into a plurality of update units and outputting a third update pattern;
  The update pattern dividing unit divides the third update pattern into a plurality of update units and outputs a plurality of update patterns,
  The division data update unit manages the association of the plurality of update patterns divided and output by the update pattern division unit, and updates the information data stored in the update target data file by outputting an update instruction. It is characterized by.
[0021]
In addition, a recording medium in which an update program is recorded is provided, and the update program is read from the recording medium into the data update processing device and controls the operation of the data update processing device.
[0022]
The data update processing device having a computer processing function executes the first update pattern creation process, the second update pattern creation process, the update target data change process, the update pattern split process, and the split data update process. It is characterized by a recording medium on which a program for causing the program to be recorded is recorded.
[0023]
DETAILED DESCRIPTION OF THE INVENTION
Next, embodiments of the present invention will be described with reference to the drawings.
[0024]
FIG. 1 is a block diagram showing an embodiment of a data update processing system of the present invention.
[0025]
The embodiment shown in FIG. 1 includes an input device 1 such as a keyboard and a communication receiver, a data update processing device 2 that operates under program control, a storage device 3 that stores information, a display device, a printing device, and a communication device. And an output device 4 such as a transmitter.
[0026]
The storage device 3 includes an update data file 31, an update target data file 32, and a data protection information file 33. Here, the update data file 31 temporarily stores each request data including binary and characters. The update target data file 32 stores so-called databased data. The data protection information file 33 stores in advance the association between files of update target data, records, and elements. In addition, the update state of the update target data is stored in the access level unit as the element relation. Examples of access levels include a write state, a read state, and a read / write state.
[0027]
Next, the data update processing device 2 includes an update pattern creation unit 21, an update pattern creation unit 22, and a data update unit 23, and the update pattern creation unit 21 stores update data stored in the storage device 3. An update pattern 12 is created based on the update request data 11 of the request type, key element, and various update elements requested from the file 31.
[0028]
The update pattern creation unit 22 creates an update pattern taking into account the pattern processing result 13 processed by the data update unit 23 based on the update pattern 12 created by the update pattern creation unit 21, and updates the data again. The update pattern 14 is output to the unit 23.
[0029]
Further, the data update unit 23 uses the update pattern 12 created by the update pattern creation unit 21 and the update pattern 14 created by the update pattern creation unit 22, the update request data 11, and the update request data 18 to update the data file 32. Is updated by outputting an update instruction 15. If the update cannot be performed as a result, and if it is determined that the update can be performed by re-evaluating the update result, the functional operation of the update pattern creation unit 22 is performed based on the update result information 16 output from the update target data file 32. .
[0030]
On the other hand, when it becomes impossible to update the information data stored in the update target data file 32, the data update unit 23 disables the update data, and the output device 4 sends a message or process of the update impossible result 17 to the output device 4. Reply with the result.
[0031]
The data update unit 23 outputs an access level update signal 19 for updating the access level to the data protection information file 33 and inputs an access level read signal 20 for reading the access level from the data protection information file 33.
[0032]
Furthermore, it is necessary to read into the data protection information file 33 grouping information that stores relationships between files, records, and elements.
[0033]
FIG. 2 is a flowchart showing the operation of the embodiment of FIG.
[0034]
FIG. 2 shows the operation of the update pattern creation units 21 and 22 and the flow of the data update unit 23.
[0035]
FIG. 3 is a diagram for explaining a specific example of the operation of FIG.
[0036]
Next, the operation of the present embodiment will be described in more detail with reference to FIG. 1, FIG. 2, and FIG.
[0037]
In step A1, an update pattern 12 is created from the update request data 11 from the update data file 31. The update pattern 12 is created based on the in-file element grouping information of the data protection information file 33. Next, a process of creating the update pattern 12 from each request a, b, c, d of the update data file 31 will be described.
[0038]
Referring to FIG. 3, the update data file 31 includes data of requests a, b, c, and d. Request a is a new request, request b is a change, request c is a change, and request d is a delete request.
[0039]
Since the request a includes elements a, d, and e and is new, the element a belongs to the file 1 in consideration of the element grouping information in the data protection information file 33, and the file 1 is the elements a and b. , C are related, the elements a, b, c are output to the update pattern. At the same time, file 1 is output. At this time, if there are b and c in the element of request a, these are skipped. Similarly, the element d belongs to the file 2, and since the file 2 is related to the elements d and e, the elements d and e are output to the update pattern. At the same time, file 2 is output. At this time, e already exists as an element of the request a, and e is skipped. All the request elements are processed, and as a result, the fact that the elements a, b, c, d, e, and files 1 and 2 are related to the request a is output as the update pattern of the request a (FIG. 3). Step A1).
[0040]
Next, since request b includes elements a, e, f, and g and is a change, considering the in-file element grouping information of data protection information file 33, element a belongs to file 1 and file 1 Since the elements are not related in the case of a change, only the element a is output to the update pattern, assuming that the elements a, b, and c are not related. Similarly, the element e belongs to the file 2, and when the file 2 is changed, the elements are not related to each other, so that only the element e is output to the update pattern on the assumption that it is not related to the elements d and e. At the same time, the file 2 is output, and the parent element b is output.
[0041]
In addition, the element f belongs to the file 3, and when the file 3 is changed, the elements are not related to each other. Therefore, only the element f is output to the update pattern on the assumption that it is not related to the elements f and g. At the same time, the file 3 is output, and the parent element c is output.
[0042]
Similarly, the element g belongs to the file 3, and when the file 3 is changed, the elements are not related to each other, so that only the element g is output to the update pattern on the assumption that it is not related to the elements f and g. At the same time, file 3 is output, but since it has already been output, there is no change.
[0043]
All the requested elements are processed, and as a result, it is output that the elements a, b, c, e, f, g and the files 2 and 3 are related to the request b as an update pattern of the request b.
[0044]
Next, since the request c includes elements d and g and is a change, considering the in-file element grouping information of the data protection information file 33, the element d belongs to the file 2 and the file 2 is the elements d and e. Are not related, only the element d is output to the update pattern. At the same time, the file 2 is output, and the parent element b is output. Similarly, the element g belongs to the file 3, and since the file 3 is not related to the elements f and g, only the element g is output to the update pattern. At the same time, file 3 is output.
[0045]
All the request elements are processed, and as a result, it is output that the elements b, d, g and the files 2 and 3 are related to the request c as an update pattern of the request c.
[0046]
Next, since the request d is deletion, the elements a, b, and c are output unconditionally when the in-file element grouping information of the data protection information file 33 is considered. In addition, since the element b is related to the file 2, the file 2 is output. Further, since the element c is related to the file 3, the file 3 is output.
[0047]
In the case of deletion, it is output that the element a, b, c and the files 2 and 3 are related to the request d as an update pattern of the request d as a result.
[0048]
As described above, the requests a, b, c, and d for the update data file 31 exist individually, and the update pattern creation unit 21 outputs the update patterns a, b, c, and d. Note that the rewrite target data in the update target data file 32 indicates a processed state where the request a has been processed. In this state, the data protection information file 33 indicates that the request c is being processed. An example of an operation in which request b is processed while request c is being processed is shown in steps A2 and A3. As a result of the conflict, request e is created by update pattern creation unit 22, and only elements that have no conflict in steps A6 and A7. This means that rewriting is performed.
[0049]
The update data file 31 stores requests for requests a, b, c, d, etc., but the number of requests is not limited to four, a, b, c, d.
[0050]
The in-file element grouping information of the data protection information file 33 stores the following information regarding the relationship between elements.
[0051]
Regarding the relevance of the file 1 (elements a, b, and c), the elements are all related unconditionally, and the file is also related. Changes do not relate between elements, nor do files. Deletions are all related unconditionally, but files are not related.
[0052]
Regarding the relevance (elements d and e and parent element b) of the file 2, all the elements are related and the file is also related. Changes do not relate between elements, but files are related and parent elements are also related. Deletion does not relate elements, nor does it relate to files.
[0053]
Regarding the relevance (elements f, g, h, element c, and parent element c) of the file 3, all the elements are related and the file is also related. Changes do not relate between elements, but files are related and parent elements are also related. Deletion does not relate elements, nor does it relate to files.
[0054]
Now, in steps A2, A3 and C2, C3, the update pattern of request b (elements a, b, c, e, f, g, files 2, 3) and the request c being updated (elements b, d, g) , Files 2 and 3) are competing for elements b and g and files 2 and 3.
[0055]
Further, in steps C7 to C8 in step C3, it is considered whether or not competing elements can be separated one by one. The element b is a parent element of the file 2, and since the other elements a and c of the file 1 including the element a have no conflict and the elements d and e of the file 2 do not conflict, the element b and the file 2 Can be separated.
[0056]
Since the element g and the file 3 are in the newly written read / write state 42 in the request c, the element b and the file 2 are separated from the update pattern of the request b, the read / write state is further deleted, and the elements a, c, e, f The update pattern of file 3 (request e) is assumed. The rewrite state 41 at this time is elements a, b, c, d, e, f, and files 2 and 3.
[0057]
When the update request data 11 output from the update data file 31 in the storage device 3 in accordance with an instruction from the input device 1 is input to the update pattern creation unit 21, the update pattern creation unit 21 receives an update request from the update request data 11. An update pattern 12 is created based on the request type, key element, and various update elements of the data 11 (step: A1), and the created update pattern 12 is supplied to the data update unit 23 to make a data update request (step: A2).
[0058]
The data protection information file 33 in FIG. 3 indicates that the processing of request b and request c conflicts and request c is being executed. In response to the update request, the data update unit 23 collates the rewrite state 41 of the data protection information file 33 in the storage device 3 with the update pattern of the update request, and confirms whether or not there is a write conflict element (steps: C2, C3). . As a result of the collation, it can be seen that the element b is in a write conflict. In the next step C7, it is determined whether or not the update in competition is possible. The element b indicates whether or not the file 2 exists. In this case, the update is not required (step: C7), and the data in the storage device 3 is stored. The read / write state 42 of the protection information file 33 and the update pattern of the update request are collated, and the data protection information is updated and collated (steps C4 and C5). As a result of step C5, a read / write conflict element is determined in step C6, and it is found that the element g is in read / write conflict and cannot be updated (steps: C10 and A3).
[0059]
When the update becomes impossible, the element g is analyzed to determine re-requestable competition (step A4), and an update pattern is created from the update data and the rewrite target data. For example, if it is determined that the data being rewritten of the request c is adopted, the element g need not be updated, and a new request e is created as shown in FIG. 3 (step: A5). The update pattern created again is provided to the data update unit 23 again, and a data update request is made (step: A6). The update ends, the update result is given to the output device 4 (step: A9), and the process ends.
[0060]
FIG. 4 is a block diagram showing a second embodiment of the data update processing system of the present invention.
[0061]
4 that correspond to the components shown in FIG. 1 are denoted by the same reference numerals or symbols, and the description thereof is omitted.
[0062]
Referring to FIG. 4, the data update processing device 5 is different in that it has an update pattern dividing unit 24 and a divided data updating unit 25 in addition to the configuration of the data update processing device 2 shown in FIG. 1. The update pattern division unit 24 processes the update patterns 12 and 14 created by the update pattern creation unit 21 and the update pattern creation unit 22 by the data update unit 23 and uses the update pattern 26 that is output. The update pattern 26 created in the request unit of the data file 31 is divided into a plurality of update units. The divided data update unit 25 manages and updates the association of a plurality of update patterns 27 divided by the update pattern division unit 24.
[0063]
FIG. 5 is a flowchart showing the operation of the embodiment of FIG.
[0064]
FIG. 5 shows the operation of the update pattern creation units 21 and 22 and the flow of the data update unit 23.
[0065]
FIG. 6 is a diagram for explaining a specific example of the operation of FIG.
[0066]
Next, the operation of the second embodiment will be described in more detail with reference to FIG. 4, FIG. 5, and FIG.
[0067]
In step A1, an update pattern 12 is created from the update request data 11 from the update data file 31. The update pattern 12 is created based on the grouping information in the data protection information file 33. Next, the process of creating the update pattern 12 from the requests a, b, c, d of the update data file 31 will be described.
[0068]
Referring to FIG. 6, the update data file 31 includes data of requests a, b, c, and d. Request a is a new request, request b is a change, request c is a change, and request d is a delete request.
[0069]
Since the request a includes elements a, d, and e and is new, the element a belongs to the file 1 in consideration of the element grouping information in the data protection information file 33, and the file 1 is the elements a and b. , C are related, the elements a, b, c are output to the update pattern. At the same time, file 1 is output. At this time, if there are b and c in the element of request a, these are skipped. Similarly, the element d belongs to the file 2, and since the file 2 is related to the elements d and e, the elements d and e are output to the update pattern. At the same time, file 2 is output. At this time, e already exists as an element of the request a, and e is skipped. All the request elements are processed, and as a result, it is output that the elements a, b, c, d, e and the files 1 and 2 are related to the request a as an update pattern of the request a.
[0070]
Next, since request b includes elements a, e, and f and is a change, considering the in-file element grouping information of data protection information file 33, element a belongs to file 1, and file 1 is element a. , B, and c are not related, only the element a is output to the update pattern. Similarly, element e belongs to file 2, and since file 2 is not related to elements d and e, only element e is output to the update pattern. At the same time, the file 2 is output, and the parent element b is output.
[0071]
Also, since the element f belongs to the file 3 and the file 3 is not related to the elements f and g, only the element f is output to the update pattern. At the same time, the file 3 is output, and the parent element c is output.
[0072]
All the request elements are processed, and as a result, the fact that the elements a, b, c, e, f and the files 2 and 3 are related to the request b as an update pattern of the request b is output.
[0073]
Next, since the request c includes elements d and e and is a change, considering the element grouping information in the file of the data protection information file 33, the element d belongs to the file 2 and the file 2 is the elements d and e. Are not related, only the element d is output to the update pattern. At the same time, the file 2 is output, and the parent element b is output. Similarly, element e belongs to file 2, and since file 2 is not related to elements d and e, only element e is output to the update pattern. At the same time, file 2 is output, but since it has already been output, it remains as it is.
[0074]
All the request elements are processed, and as a result, the fact that the elements b, d, e, and the file 2 are related to the request c as an update pattern of the request c is output.
[0075]
Next, since the request d is deletion, the elements a, b, and c are output unconditionally when the in-file element grouping information of the data protection information file 33 is considered. In addition, since the element b is related to the file 2, the file 2 is output. Further, since the element c is related to the file 3, the file 3 is output.
[0076]
In the case of deletion, it is output that the elements a, b, c and files 2 and 3 are related to the request d as an update pattern of the request d.
[0077]
As described above, the requests a, b, c, and d for the update data file 31 exist individually, and the update pattern creation unit 21 outputs the update patterns a, b, c, and d.
[0078]
The update data file 31 stores requests for requests a, b, c, d, and the like. The number of requests is not limited to four, a, b, c, and d.
[0079]
The following information is stored in the in-file element grouping information of the data protection information file 33.
[0080]
Regarding the relevance of the file 1 (elements a, b, and c), the elements are all related unconditionally, and the file is also related. Changes do not relate between elements, nor do files. Deletions are all related unconditionally, but files are not related.
[0081]
Regarding the relevance (elements d and e and parent element b) of the file 2, all the elements are related and the file is also related. Changes do not relate between elements, but files are related and parent elements are also related. Deletion does not relate elements, nor does it relate to files.
[0082]
Regarding the relevance (elements f, g, h, element c, and parent element c) of the file 3, all the elements are related and the file is also related. Changes do not relate between elements, but files are related and parent elements are also related. Deletion does not relate elements, nor does it relate to files.
[0083]
In steps A2, A3 and C2, C3, the update pattern of request b (requests a, b, c, e, f, files 2, 3) and the request c being updated (elements b, d, e, file 2, According to 3), the elements b and e and the files 2 and 3 are in conflict.
[0084]
Further, in steps C7 to C10 and steps A5 to B3 in step C3, it is considered whether or not competing elements can be separated one by one. The element b is a parent element of the file 2, and since the other elements a and c of the file 1 including the element a have no conflict and the elements d and e of the file 2 do not conflict, the element b and the file 2 Can be separated.
[0085]
Since element e is a single element, it cannot be separated any further. The element b and the file 2 are separated from the request b, and the update patterns (request e) of the elements a, c, e, f, and the file 3 are set. However, since element e competes, element e is separated, and element a, c, f (request f), element e, and file 2 (request g) can be written in order.
[0086]
The operations of the update pattern creation unit 21, the update pattern creation unit 22, and the data update unit 23 shown in step A1 to step A7, step A8, and step A9 in FIG. 5 are the same as the operations in the first embodiment. The description is omitted. In the first embodiment, even if an element of independence exists in the request, it cannot be updated. In the second embodiment, in such a case, the update pattern dividing unit 24 divides the update pattern 26 (step B1 in FIG. 5). That is, in the specific example described above, since the update pattern request e (step B1 in FIG. 6) is being updated, the element e is divided into requests for the file 2 and the file 3, and the element e, the element a, and the element c, divided into groups of elements f. The divided data update unit 25 divides and updates the update target data file 32 using the divided plural update patterns 27 as request units (step B2 in FIG. 5), and displays the update possibility on the output device 4 as a result (in FIG. 5). Step A9).
[0087]
As described above, in the first and second embodiments, when update processing with the obtained update pattern becomes abnormal, execution by pattern division is described again, but the corresponding update pattern is subdivided. By requesting, the restriction of data protection time is shortened.
[0088]
FIG. 7 is a block diagram showing a third embodiment of the data update processing system of the present invention.
[0089]
In FIG. 7, components corresponding to those shown in FIG. 1 or FIG. 4 are given the same reference numerals or symbols, and description thereof is omitted.
[0090]
Referring to FIG. 7, the recording medium 6 on which the update program 30 is recorded is provided. This recording medium 6 may be a magnetic disk, a semiconductor memory or other recording medium.
[0091]
The update program 30 is read from the recording medium 6 to the data update processing device 7 and controls the operation of the data update processing device 7. The data update processing device 7 executes the following processing under the control of the update program 30, that is, the same processing as the processing performed by the data update processing devices 2 and 5 in the first and second embodiments.
[0092]
As described above, the data update processing device 2 creates an update pattern from the input update data, unifies the data protection level request notation, and changes the data. More specifically, an update pattern creation unit 21 that obtains a necessary relationship from input update data in the storage device 3 and a data update unit 23 that changes update target data from the obtained update pattern 12 are provided.
[0093]
Further, the data update processing device 5 takes into account the data protection information stored in the storage device 3 in addition to the input update data when the change in the update pattern obtained from the input update data fails. Create an update pattern and unify the protection level requirement notation before changing the data. When the data update unit 23 fails to update, it has an update pattern division unit 24 and a division update unit 25 that divide the update pattern from the update result. More specifically, the update pattern creation unit 22 that obtains the relationship between the update data in the storage device 3 and the data protection information in the storage device 3 to be updated, and the update target data is changed from the obtained update pattern. And a data updating unit 23 for In other words, when the update with the update pattern that takes into account the input update data and the data protection information of the storage device 3 fails, the update pattern is further divided into the update target data and the like, and the update pattern is divided. Changes will be implemented with multiple update patterns.
[0094]
【The invention's effect】
As described above, the data update processing method of the present invention performs update by subdividing the request unit according to the protection conditions during processing of the various request units, so that the data protection range is independent of the size of the request. Since it can be variably unified and the data protection range can be minimized, the update time can be shortened and the response waiting speed can be improved.
[Brief description of the drawings]
FIG. 1 is a block diagram showing an embodiment of a data update processing system of the present invention.
FIG. 2 is a flowchart showing the operation of the embodiment of FIG.
FIG. 3 is a diagram for explaining a specific example of the operation of FIG. 1;
FIG. 4 is a block diagram showing a second embodiment of the data update processing method of the present invention.
FIG. 5 is a flowchart showing the operation of the embodiment of FIG.
6 is a diagram for explaining a specific example of the operation of FIG. 3;
FIG. 7 is a block diagram showing a third embodiment of the data update processing system of the present invention.
FIG. 8 is a block diagram showing a conventional data update processing method.
[Explanation of symbols]
1 Input device
2,5,7 Data update processing device
3,10 storage device
4 Output device
6 Recording media
8 Processing request section
9 Exclusive control execution processing part
11 Update request data
12 Update pattern
13 Pattern processing results
14 Update pattern
15 Update instructions
16 Update result information
17 Results that cannot be updated
18 Update request data
19 Access level update signal
20 Access level read signal
21 Update pattern creation unit
22 Update pattern creation unit
23 Data update part
24 Update pattern division unit
25 Division data update part
26 Update pattern
27 Multiple update patterns
30 update program
31 Data file for update
32 Update target data file
33 Data protection information file
41 Rewrite state
42 Read / write status
81 Request information
82 Request information
91 Processing requirement analysis phase
92 Process execution phase
101 database
102 Management information

Claims (6)

An input device that performs data input, a data update processing device that operates under program control, a storage device that stores information, and an output device that outputs data;
The storage device includes an update data file, an update target data file, and a data protection information file,
The update data file temporarily stores each request data consisting of binary or character, the update target data file stores data in a database, the data protection information file is between update target data files, Store the relationship between records and elements in advance,
The data update processing device includes a first update pattern creation unit, a second update pattern creation unit, and a data update unit,
The first update pattern creation unit includes a first update request indicating a request for each of new / change / delete request types, key elements, and various update elements included in the update data file stored in the storage device. Based on the data, process all elements based on the element grouping information in the data protection information file and the relevance information between the elements to create a first update pattern for each request ,
The second update pattern creation unit is configured by taking into account a pattern processing result processed by the data update unit based on the first update pattern created by the first update pattern creation unit. The update pattern is generated, and the second update pattern is output to the data update unit again.
The data update unit includes the first update pattern created by the first update pattern creation unit, the second update pattern created by the second update pattern creation unit, and the first update request. A data update processing method, wherein an update instruction for information data stored in the update target data file is output using data and second update request data requested from the update data file. When it is determined that the update is possible by re-evaluation of the update result when the update cannot be performed, the functional operation of the second update pattern creation unit is performed by the update result information output from the update target data file, On the other hand, when it becomes impossible to update the information data stored in the update target data file, the data update unit disables the update data, and the output device displays a message indicating that the update is not possible and the processing result. The data update processing method according to claim 1, wherein: Claims wherein the data updating unit to the data protection information file to output the access level update signal for the access level updates, and wherein the inputting an access level read signal for reading the access level from the data protection information file The data update processing method according to claim 1 or 2 . An input device that performs data input, a data update processing device that operates under program control, a storage device that stores information, and an output device that outputs data;
The storage device includes an update data file, an update target data file, and a data protection information file,
The update data file temporarily stores each request data consisting of binary or character, the update target data file stores data in a database, the data protection information file is between update target data files, Store the relationship between records and elements in advance,
The data update processing device includes a first update pattern creation unit, a second update pattern creation unit, a data update unit, an update pattern division unit, and a divided data update unit,
The first update pattern creation unit includes a first update request indicating a request for each of new / change / delete request types, key elements, and various update elements included in the update data file stored in the storage device. Based on the data, process all elements based on the element grouping information in the data protection information file and the relevance information between the elements to create a first update pattern for each request ,
The second update pattern creation unit is configured by taking into account a pattern processing result processed by the data update unit based on the first update pattern created by the first update pattern creation unit. The update pattern is generated, and the second update pattern is output to the data update unit again.
The data update unit includes the first update pattern created by the first update pattern creation unit, the second update pattern created by the second update pattern creation unit, and the first update request. Dividing the update pattern created in the request unit of the data and the data file for update into a plurality of update units and outputting a third update pattern;
The update pattern dividing unit divides the third update pattern into a plurality of update units and outputs a plurality of update patterns,
The division data update unit manages the association of the plurality of update patterns divided and output by the update pattern division unit, and updates the information data stored in the update target data file by outputting an update instruction. A data update processing method characterized by The data update processing method according to claim 1 or 4 comprises a recording medium on which an update program is recorded, and the update program is read from the recording medium into the data update processing apparatus, and the operation of the data update processing apparatus is controlled. A data update processing method characterized by controlling. 5. The data update processing apparatus having a computer processing function according to claim 1 or 4 , wherein the first update pattern creation process, the second update pattern creation process, the update target data change process, and the update pattern division process. A recording medium on which a program for executing the divided data update process is recorded.

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