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Oracle® Retail Pricing Cloud Service Operations Guide
Release 16.0.029
E99962-02
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3 Pricing Batch Processes

This chapter discusses Java-based batch processing within RPM.

Table 3-1 Functional Descriptions and Dependencies

Batch processes Details

ClearanceInductionBatch

This batch program allows the user to upload clearance events in bulk.

ClearancePriceChangePublishBatch

This batch process formats and stages output of clearance price change price events to be published via a flat file format.

futureRetailPurgeBatch

This timed multi-threaded batch deletes records from future retail tables that are past the retention period of the associated price events.

FutureRetailRollUpBatch.sh

This batch attempts to roll up timelines at a lower level by comparing lower level timelines to higher levels and removing any lower level timelines that match higher level timelines exactly.

itemReclassBatch

When items are moved from one department/class/subclass to another in the merchandising system, this batch process accordingly sets the correct department/class/subclass for these items in the RPM_FUTURE_ RETAIL table.

NewItemLocationBatch

This batch ranges item locations by putting them into the future retail table and RPM_ITEM_LOC. Item and locations are fed to this program via the RPM_ITEM_LOC_WS table, which is populated by an RMS process.

NightlyBatchCleanup

This batch performs "clean up" logic against Pricing database objects.

PriceChangeInductionBatch

This batch program allows the user to upload regular price changes in bulk.

PriceEventExecutionBatch

This batch process performs the necessary work to start (regular price change, clearance price change, promotions) and end (price clearances, promotions) pricing events.

PurgeBatch

This generic purge batch calls most of the purge batches into one purge process.

PurgeGttCaptureBatch

This batch process deletes records from gtt data capture tables.

RegularPriceChangePublishBatch

This batch process formats and stages output of regular price change price events.

RefreshPosDataBatch

The RefreshPosDataBatch program deletes the contents of the payload tables.


ClearanceInductionBatch (Clearance Induction Batch)

Table 3-2 ClearanceInductionBatch Details

Module Name

ClearanceInductionBatch.sh

Description

Clearance bulk upload process

Functional Area

Clearance

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

ClearanceInductionBatch.sh <user alias> <incoming-dir-path> <Template_Key> [filter_Str ]

  1. The first argument is the user alias name which mandatory and is mapped to an authorized user in the system.

  2. The second argument is the path where the induction input files are placed.

  3. Third argument is the name of the standard clearance template key. This is a mandatory argument.

  4. The fourth argument is an optional and when provided accepts the following values:

    1. XML - indicates that the batch has to look for xml files in the given incoming-dir-path and process them.

    2. ZIP - This is the default value when nothing is provided. The process will look for zip files containing xml files and process them sequentially.



Note:

File naming standards

XML file:

The file should have a prefix of CLIND. Ex: CLIND_ABC-10.10.18.xml

The file should contain the data in the format suggested by standard clearance upload template.

ZIP file:

The file should have a prefix of CLIND. Ex: CLIND_ABC.ZIP

The xml files with in the zip file should also have the prefix of CLIND.


Design Overview

The clearance induction batch process perform the necessary work to upload clearances in bulk. For the bulk upload, clearance data will be present in XML format with the data formatted in the standard clearance upload template. This batch accepts the clearance data present in XML format and also as zip files of xml files formatted in the standard template.

Scheduling Constraints

Table 3-3 ClearanceInductionBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc, Recurring

Scheduling Considerations

N/A

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

N/A


Restart/Recovery

N/A

Key Tables Affected

Table 3-4 ClearanceInductionBatch Key Tables Affected

Table Select Insert Update Delete

S9T_TEMPLATE

Yes

No

No

No

SVC_PROCESS_TRACKER

Yes

No

No

No

S9T_ERRORS

Yes

Yes

Yes

No

RPM_CORESVC_CLEARANCE_ERR

Yes

No

No

No

RPM_SVC_CLEARANCE

Yes

No

Yes

No

RPM_CLEARANCE

Yes

No

No

No

RPM_CLEARANCE_GROUP

No

Yes

No

No


Design Assumptions

N/A

ClearancePriceChangePublishBatch (Clearance Price Change Publish Batch)

Table 3-5 ClearancePriceChangePublishBatch Details

Module Name

ClearancePriceChangePublishBatch.sh

Description

Clearance events are exported

Functional Area

Clearance

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

ClearancePriceChangePublishBatch.sh <user_alias> <outgoing-dir-path>


Design Overview

The ClearancePriceChangePublishBatch program formats and stages output of clearance price change price events.

The corresponding clearancePriceChangePublishExport shell script produces a pipe ("|") delimited flat-file export based on the output of the ClearancePriceChangePublishBatch.

The batch looks for price events in the RPM_PRICE_EVENT_PAYLOAD table with a RIB_FAMILY of 'ClrPrcChg' and distributes those events to multiple threads based on the settings in the RPM_BATCH_CONTROL table. Each thread reads in its set of clearance price change events from tables RPM_PRICE_EVENT_PAYLOAD and RPM_ CLEARANCE_PAYLOAD and generates output in RPM_PRICE_PUBLISH_DATA. After the flat file is successfully generated by the Export script (see the following format), the associated records in the payload tables are deleted.

Then the flat-files per location based on the data from payload table that need to be published/processed will be created and zipped and copied to the outgoing-dir-path provided as a batch parameter.

Scheduling Constraints

Table 3-6 ClearancePriceChangePublishBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc, Recurring

Scheduling Considerations

N/A

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

The ClearancePriceChangePublishBatch program is threaded, using RPM_BATCH_CONTROL. The LUW is a single clearance price change event.


Restart/Recovery

N/A

Key Tables Affected

Table 3-7 ClearancePriceChangePublishBatch Key Tables Affected

Table Select Insert Update Delete

RPM_PRICE_EVENT_PAYLOAD

Yes

No

No

No

RPM_CLEARANCE_PAYLOAD

Yes

No

No

No


Output File

FHEAD - REQUIRED: File identification, one line per file.

FDETL - OPTIONAL: Price Change Event (Create or Modify).

FDELE - OPTIONAL: Price Change Event (Delete).

FTAIL - REQUIRED: End of file marker, one line per file.


Note:

File naming standards

The naming convention for the flat file will be (CLRPC_<timestamp>_<location>_<loc_type>.dat), where <timestamp> is the current system time stamp, <location> is the location id and <loc_type> is the type of the location where 'S' is for Store and 'W' is for Warehouse. The zip file naming convention will be (CLRPC_<timestamp>.zip).


Output File Layout

Table 3-8 Output File Layout

Record Name Field Name Field Type Default Value Description

FHEAD

Record Descriptor

Char(5)

FHEAD

File head marker


Line id

Number(10)

1

Unique line identification


File Type

Char(5)

CLRPC

Clearance Price Changes


Export timestamp

Timestamp


System clock timestamp (YYYYMMDDHHMISS)


Location

Number(10)


Location identifier


Location Type

Char(1)


S = Store, W = Warehouse

FDETL

Record Descriptor

Char(5)

FDETL

File Detail Marker (1 per clearance create or modify)


Line id

Number(10)


Unique line identification


Event Type

Char(3)


CRE = Create, MOD = Modify


Id

Number(15)


Clearance identifier


Item

Char(25)


Item identifier


Effective Date

Date


Clearance Effective Date (YYYYMMDDHH24MISS)


Selling Retail

Number(20,4)


Selling retail with price change applied


Selling Retail UOM

Char(4)


Selling retail unit of measure


Selling Retail Currency

Char(3)


Selling retail currency


Reset Clearance Id

Number(15)


Clearance reset identification

FDELE

Record Descriptor

Char(5)

FDELE

File Detail Delete Marker (1 per clearance delete)


Line id

Number(10)


Unique line identification


Id

Number(15)


Clearance identifier


Item

Char(25)


Item identifier

FTAIL

Record Descriptor

Char(5)

FTAIL

File tail marker

Line id

Number(10)


Unique line identification

Number of lines

Number(10)


Number of lines in file not counting FHEAD and FTAIL


Design Assumptions

N/A

FutureRetailPurgeBatch Design

Table 3-9 FutureRetailPurgeBatch Details

Module Name

FutureRetailPurgeBatch.sh

Description

Purges future retail data that are past the retention period.

Functional Area

Future Retail

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

futureRetailPurgeBatch.sh <user alias>


Design Overview

This batch is a timed multi-threaded process that purges future retail data that are past the retention periods of their corresponding price events.

Scheduling Constraints

Table 3-10 FutureRetailPurgeBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc

Scheduling Considerations

This process must be executed during the batch window. As it runs, other processes must not access the future retail tables. This batch can be run ad-hoc.

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

The batch uses bookmark logic to process merchandise hierarchies in a round robin fashion and running for a specific timeframe depending on the value of BATCH_TIME_LIMIT_HOURS in RPM_ BATCH_CONTROL.


Restart/Recovery

Restart/Recovery is inherent in the design of this program, as records are deleted after processing they would not be picked up if the program is run again.

Key Tables Affected

Table 3-11 FutureRetailPurgeBatch Key Tables Affected

Table Select Insert Update Delete

RPM_FUTURE_RETAIL

Yes

No

No

Yes


Design Assumptions

N/A

FutureRetailRollUpBatch (Future Retail Roll Up Batch)

Table 3-12 FutureRetailRollUpBatch Details

Module Name

FutureRetailRollUpBatch.sh

Description

Attempts to roll up timelines on future retail if lower level timelines match higher levels.

Functional Area

Future Retail

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

futureRetailRollUpBatch.sh <user alias>


Design Overview

This batch attempts to roll up lower level timelines to existing higher level timelines (for example, from Item/Location to Parent/Zone) by comparing two related timelines and removing the lower level timelines if the two match exactly for all records.

Scheduling Constraints

Table 3-13 FutureRetailRollUpBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc

Scheduling Considerations

This process must be executed during the batch window. As it runs, other processes must not access the future retail tables. This batch can be run ad-hoc.

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

This batch is threaded by item.


Restart/Recovery

The batch uses bookmark logic to process merchandise hierarchies in a round robin fashion and running for a specific timeframe depending on the value of BATCH_TIME_LIMIT_HOURS in RPM_ BATCH_CONTROL.

Key Tables Affected

Table 3-14 FutureRetailRollUpBatch Key Tables Affected

Table Select Insert Update Delete

RPM_FUTURE_RETAIL

Yes

No

Yes

No


Design Assumptions

N/A

ItemReclassBatch (Item Reclass Batch)

Table 3-15 ItemReclassBatch Details

Module Name

ItemReclassBatch.sh

Description

Updates Pricing tables when a merchandise hierarchy change is made in RMS.

Functional Area

Future Retail

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

ItemReclassBatch.sh <user alias>


Design Overview

When items are moved from one department/class/subclass to another in the merchandising system, this batch process accordingly sets the correct department/class/subclass for these items in the RPM_FUTURE_RETAIL table and the RPM_ITEM_LOC table if the item has move departments.

Scheduling Constraints

Table 3-16 ItemReclassBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc

Scheduling Considerations

Must be run during the batch window.

Pre-Processing

The RPM_ITEM_MODIFICATION table has been populated by the RMS reclassification batch process.

Post-Processing

N/A

Threading Scheme

N/A


Restart/Recovery

N/A

Key Tables Affected

Table 3-17 ItemReclassBatch Key Tables Affected

Table Select Insert Update Delete

RPM_FUTURE_RETAIL

Yes

No

Yes

No

RPM_ITEM_MODIFICATION

Yes

No

No

No


Design Assumptions

N/A

NewItemLocationBatch (New Item Location Batch Batch)

Table 3-18 NewItemLocationBatch Details

Module Name

NewItemLocationBatch.sh

Description

Updates Pricing tables for new item/locations in RMS

Functional Area

Future Retail

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

NewItemLocationBatch.sh <user alias> [N / {E <error commit count>} / {R [<process id>]}]

Where

The 'status' argument (N/E/R) is optional and directs the application as to what "status" to process. If it's not specified, the batch will default it to 'N'ew mode. The last argument can be optional or required depending upon the status argument as describe in the section below:

Valid values for the status argument are:

'N'ew: This will process records with status of N (New) from the staging table. When the batch is run in this mode, the last argument is not needed.

'E'rror: This will process records with status of E (Error) from the staging table. When the batch is run in this mode, the batch can have the error commit count argument as an optional argument. Error commit count is optional and is used only when the status argument is 'E'. If not specified, the batch will use the logical unit of work for processing

'R'estart: When the batch is run in this mode, then the process_id argument is required. This mode will only restart the rolling up functionality that is part of location move. It will call the RPM_NEW_ITEM_LOC_SQL.ROLLUP_NIL_DATA for the threads that are not in completed status in RPM_NIL_ROLLUP_THREAD. A required valid process ID parameter will also need to be passed in as well to indicate what process ID the batch should restart.


Design Overview

The NewItemLocationBatch program ranges item locations by putting them into the future retail table. Item locations are fed to this program via the RPM_ITEM_LOC_WS table, which is populated by an RMS process.

Scheduling Constraints

Table 3-19 NewItemLocationBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc

Scheduling Considerations

Must not have more than one instance running at a time.

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

The NewItemLocationBatch is a multi-step and multi-threaded batch, meaning each of the two steps (inheritance process and rollup process) has its own independent threading. The first part, which is the insert to future retail and item loc tables and inheritance process, is threaded by related item-locations where "related" means transaction items under a single parent items and locations within a zone that is part of a primary zone group.

If there are price events, then it chooses a path based on batch control settings similar to the ones for a price event approval from UI, and it chooses to go to chunking or bulking based on setting and the volume of data.


Restart/Recovery

Processing Stage Rows in Error Status

This program is set up to re-process (re-attempt) rows that end up in error status. In the event that an error occurs during the processing of new status rows, the program should update the status on the stage table with E along with an error message.Once the error has been fixed, you can re-run this program with status E in an attempt to get the item/loc into RPM.

Processing Stage Rows in Restart Status

When running in Restart mode, the batch will attempt to re-process the future retail roll up functionality and to clean up item location staging tables. It will delete the records that were completely processed from the staging tables.

This mode has to be executed when there are threads/process ID that have errors or did not complete the roll-up process and clean-up of staging tables. This should be part of the business process. For example, clients can do this ad-hoc when no one is using the application. They also have to establish how they are going to retrieve process id and threads that need reprocessing. If there won't be an established process for running NIL Batch in restart mode, the NIL thread status and staging tables data will increase and won't be cleaned up.

Key Tables Affected

Table 3-20 NewItemLocationBatch Key Tables Affected

Table Select Insert Update Delete

RPM_FUTURE_RETAIL

Yes

No

Yes

No

RPM_ITEM_LOC

Yes

No

No

No

RPM_STAGE_ITEM_LOC

Yes

No

Yes

No

RPM_STAGE_ITEM_LOC_CLEAN

Yes

No

No

No

RPM_NIL_ROLLUP_THREAD

Yes

No

Yes

No

RPM_NIL_BULKCCPE_PROCESS_ID

Yes

No

No

No


Design Assumptions

N/A

NightlyBatchCleanup (Nightly Cleanup Batch)

Table 3-21 NightlyBatchCleanup Details

Module Name

NightlyBatchCleanup.sh

Description

Nightly clean up on pricing tables

Functional Area

All

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

NightlyBatchCleanupBatch.sh <user_alias> PRE/POST


Design Overview

The nightlyBatchCleanup batch program performs "clean up" logic against certain database structures.

Scheduling Constraints

Table 3-22 NightlyBatchCleanup Scheduling Constraints

Schedule Information Description

Frequency

Nightly batch cycle

Scheduling Considerations

This batch should be run before the nightly batch window in "pre" mode and after the nightly batch window in "post" mode.

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

N/A


Restart/Recovery

N/A

Key Tables Affected

Table 3-23 NightlyBatchCleanup Key Tables Affected

Table Select Insert Update Delete

S9T_TEMPLATE

Yes

No

No

No

SVC_PROCESS_TRACKER

Yes

No

No

No

S9T_ERRORS

Yes

Yes

Yes

No

RPM_CORESVC_PRICE_CHANGE_ERR

Yes

No

No

No

RPM_SVC_PRICE_CHANGE

Yes

No

Yes

No

RPM_PRICE_CHANGE

Yes

No

No

No

RPM_PRICE_CHANGE_GROUP

No

Yes

No

No


Design Assumptions

N/A

PriceChangeInductionBatch (Price Change Induction Batch)

Table 3-24 PriceChangeInductionBatch Details

Module Name

PriceChangeInductionBatch.sh

Description

Price Change bulk upload process

Functional Area

Price Change

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

PriceChangeInductionBatch .sh <user alias> <incoming-dir-path> <Template_Key> [filter_Str ]

  1. The first argument is the user alias name which mandatory and is mapped to an authorized user in the system.

  2. The second argument is the path where the induction input files are placed.

  3. Third argument is the name of the standard price change template key. This is a mandatory argument.

  4. The fourth argument is an optional and when provided accepts the following values:

    1. XML - indicates that the batch has to look for xml files in the given incoming-dir-path and process them.

    2. ZIP - This is the default value when nothing is provided. The process will look for zip files containing xml files and process them sequentially.



Note:

File naming standards

XML file:

The file should have a prefix of PCIND. Ex: PCIND_ABC-10.10.18.xml

The file should contain the data in the format suggested by standard price change upload template.

ZIP file:

The file should have a prefix of PCIND. Ex: PCIND_ABC.ZIP

The xml files with in the zip file should also have the prefix of PCIND


Design Overview

PriceChangeInductionBatch uploads regular price changes in bulk. For the bulk upload, price change data will be present in XML format with the data formatted in the standard price change upload template. This batch accepts the price change data present in XML format and also as zip files of xml files formatted in the standard template.

Scheduling Constraints

Table 3-25 PriceChangeInductionBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc, Recurring

Scheduling Considerations

N/A

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

N/A


Restart/Recovery

N/A

Key Tables Affected

Table 3-26 PriceChangeInductionBatch Key Tables Affected

Table Select Insert Update Delete

S9T_TEMPLATE

Yes

No

No

No

SVC_PROCESS_TRACKER

Yes

No

No

No

S9T_ERRORS

Yes

Yes

Yes

No

RPM_CORESVC_PRICE_CHANGE_ERR

Yes

No

No

No

RPM_SVC_PRICE_CHANGE

Yes

No

Yes

No

RPM_PRICE_CHANGE

Yes

No

No

No

RPM_PRICE_CHANGE_GROUP

No

Yes

No

No


Design Assumptions

N/A

PriceEventExecutionBatch (Price Event Execution Batch)

Table 3-27 PriceEventExecutionBatch Details

Module Name

PriceEventExecution.sh

Description

Starts events that need to be executed on a given date.

Functional Area

Price Change

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

PriceEventExecutionBatch.sh <user_alias> [restartInd Y|N]

Where the last argument of the PriceEventExecutionBatch indicates if the run should start over (use a value of N) or pick up where the previous run left off (use a value of Y).


Design Overview

The price event execution batch process performs the necessary work to start (regular price change and clearance price change) and end (reset) clearance pricing events.

The batch programs process regular price change and clearance price change events that are scheduled for the run date. Restartability features allow events missed in past runs of the batch to be picked up in later runs. When posting information in the ITEM_LOC and PRICE_HIST table, the batch process respects the active dates of their associated price events.

Clearances

  • Clearance markdowns that are scheduled to take place are executed. These include all clearances whose effective dates are <= VDATE+1.

  • Clearances that are scheduled to be completed (reset) are completed.

Regular price changes

  • Regular price changes that are scheduled to take place are executed. These include all price changes whose effective dates are <= VDATE+1.

Scheduling Constraints

Table 3-28 PriceEventExecutionBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc, Recurring

Scheduling Considerations

Salstage (RMS) should run before Price Event Execution.Price Event Execution should run before the Storadd (RMS) batch.

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

N/A


Restart/Recovery

The program is restartable and will pick up any events remaining to be processed in a given run.

Key Tables Affected

Table 3-29 PriceEventExecutionBatch Key Tables Affected

Table Select Insert Update Delete

RPM_PRICE_CHANGE

Yes

No

Yes

No

RPM_CLEARANCE

Yes

No

Yes

No

ITEM_LOC

Yes

No

Yes

No

PRICE_HIST

Yes

Yes

No

No

TRAN_DATA

Yes

Yes

No

No


Design Assumptions

N/A

PurgeGTTCaptureBatch (Purge GTT Capture Batch)

Table 3-30 PurgeGTTCaptureBatch Details

Module Name

PurgeGttCaptureBatch.sh

Description

Truncates data from the GTT capture related tables.

Functional Area

Various

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

PurgeGttCaptureBatch.sh <user_alias> 

Design Overview

This batch truncates data from the GTT capture related tables.

Scheduling Constraints

Table 3-31 PurgeGTTCaptureBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc

Scheduling Considerations

Should be run during batch window.

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

N/A


Restart/Recovery

N/A

Key Tables Affected

Table 3-32 PurgeGTTCaptureBatch Key Tables Affected

Table Select Insert Update Delete

RPM_RFR_GTT_DATA_CAPTURE

Yes

No

No

No

RPM_RPILE_GTT_DATA_CAPTURE

Yes

No

No

No

RPM_CSPFR_GTT_DATA_CAPTURE

Yes

Yes

Yes

No

RPM_CLR_GTT_DATA_CAPTURE

Yes

No

No

No

RPM_FRILE_GTT_DATA_CAPTURE

Yes

No

Yes

No


Design Assumptions

N/A

RegularPriceChangePublishBatch (Regular Price Change Publish Batch)

Table 3-33 RegularPriceChangePublishBatch Details

Module Name

RegularPriceChangePublishBatch.sh

Description

Price Change events are exported for integration to other systems.

Functional Area

Price Changes

Module Type

Business Processing

Module Technology

Java

Catalog ID


Runtime Parameters

RegularPriceChangePublishBatch.sh <user_alias> <outgoing-dir-path>

Design Overview

The RegularPriceChangePublishBatch program formats and stages output of regular price change price events.

The corresponding regularPriceChangePublishExport shell script produces a pipe ("|") delimited flat-file export based on the output of the RegularPriceChangePublishBatch.

The batch looks for price events in the RPM_PRICE_EVENT_PAYLOAD table with a RIB_FAMILY of "REGPRCCHG" and distributes those events to multiple threads based on the settings in the RPM_BATCH_CONTROL table. Each thread reads in its set of regular price change events from tables RPM_PRICE_EVENT_PAYLOAD and RPM_PRICE_CHG_PAYLOAD and generates output in RPM_PRICE_PUBLISH_ DATA.

A flat-file per location based on the data from payload table that need to be published/processed will be created. The naming convention for the flat file will be (REGPC_<timestamp> _<location>_<loc_type>.dat), where <timestamp> is the current system time stamp, <location> is the location id and <loc_type> is the type of the location where 'S' is for Store and 'W' is for Warehouse.

Scheduling Constraints

Table 3-34 RegularPriceChangePublishBatch Scheduling Constraints

Schedule Information Description

Frequency

Ad hoc, Recurring

Scheduling Considerations

N/A

Pre-Processing

N/A

Post-Processing

N/A

Threading Scheme

The RegularPriceChangePublishBatch program is threaded, using RPM_BATCH_CONTROL. The LUW is a single price change event.


Restart/Recovery

N/A

Key Tables Affected

Table 3-35 RegularPriceChangePublishBatch Key Tables Affected

Table Select Insert Update Delete

RPM_PRICE_EVENT_PAYLOAD

Yes

No

No

No

RPM_PRICE_CHG_PAYLOAD

Yes

No

No

No


Output Files

FHEAD (required): File identification, one line per file.

FDETL (optional): Price Change Event (Create or Modify).

FDELE (optional): Price Change Event (Delete).

FTAIL (required): End of file marker, one line per file.


Note:

File naming standards

The naming convention for the flat file will be (REGPC_<timestamp>_<location>_<loc_type>.dat), where <timestamp> is the current system time stamp, <location> is the location id and <loc_type> is the type of the location where 'S' is for Store and 'W' is for Warehouse. The zip file naming convetion will be (REGPC_<timestamp>.zip).


Output File Layout

Table 3-36 Output File Layout

Record Name Field Name Field Type Default Value Description

FHEAD

Record Descriptor

Char(5)

FHEAD

File head marker


Line id

Number(10)

1

Unique line identifier


File Type

Char(5)

REGPC

Regular Price Changes


Export timestamp

Timestamp


System clock timestamp (YYYYMMDDHHMISS)


Location

Number(10)


Location identifier


Location Type

Char(1)


S = Store, W = Warehouse

FDETL

Record Descriptor

Char(5)

FDETL

File Detail Marker (1 per price change create or modify)


Line id

Number(10)


Unique line identifier


Event Type

Char(3)


CRE = Create, MOD = Modify


Id

Number(15)


Price Change identifier


Item

Char(25)


Item identifier


Effective Date

Date


Effective Date of price change (YYYYMMDDHH24MISS)


Selling Unit Change Ind

Number(1)


Did selling unit retail change with this price event (0 = no change, 1 = changed)


Selling Retail

Number(20,4)


Selling retail with price change applied


Selling Retail UOM

Char(4)


Selling retail unit of measure


Selling Retail Currency

Char(3)


Selling retail currency


Multi-Unit Change Ind

Number(1)


Did multi-unit retail change with this price event (0 = no change, 1 = changed)


Multi-Units

Number(12,4)


Number of multi-units


Multi-Unit Retail

Number(20,4)


Multi-Unit Retails


Multi-Unit UOM

Char(4)


Multi-Unit Retail Unit Of Measure


Multi-Unit Currency

Char(3)


Multi-Unit Retail Currency

FDELE

Record Descriptor

Char(5)

FDELE

File Detail Delete Marker (1 per price change delete)


Line id

Number(10)


Unique line identifier


Id

Number(15)


Price Change identifier


Item

Char(25)


Item identifier

FTAIL

Record Descriptor

Char(5)

FTAIL

File tail marker


Line id

Number(10)


Unique line identifier


Number of lines

Number(10)


Number of lines in file not counting FHEAD and FTAIL


Design Assumptions

N/A