Oracle JDE Purchase-to-Pay app template

• Extraction
  • System configuration
  • Setting up the source connection in CData Sync
  • Setting up the destination connection in CData Sync
  • Creating the extraction job in CData Sync
• Input fields
  • Input types
  • Input tables & fields
• Configuring transformations
  • Seed files
  • Dbt variables
• Design specifications
  • Objects
  • Activities
  • Design details

Extraction

This app template uses Oracle JD Edwards 8.0 or higher as source system, further referenced in this documentation as Oracle JDE.

Extraction for the system is done using CData Sync. To set-up the extraction, make sure you have a valid license for CData Sync and have installed CData Sync.

System configuration

To be able to retrieve the required data from Oracle JDE, the modules Procurement and Accounts payable are mandatory. Other tables could be used for master data purposes.

To connect via CData, the user establishing the connection must have appropriate read permissions on each of the objects which are being extracted. All fields included in the input tables must be visible for the user extracting the data.

Setting up the source connection in CData Sync

• In CData - Connections, add a new source connection for Oracle. If this option is not in the list, deselect Only Installed and install the connector
• Name the connection Oracle_JDE_Connection.
• Fill out the fields for Server, Service Name, User, Password and Port with the correct values.
• Create and test the connection.

Setting up the destination connection in CData Sync

To set up the destination connection, follow the steps as defined in Create a destination connection (Automation Cloud). Note: If you are using Automation Suite, make sure to select AUTOMATION SUITE as the DELIVERY option and select the correct version of Automation Suite you are using.

Creating the extraction job in CData Sync

To create the Job in CData make sure to follow the steps below.

• In CData - Jobs, create a new job.
• Select Oracle_JDE_Connection as source and select the destination connections created for the Oracle JDE Purchase-to-Pay app template and create the job.

Advanced job settings

In the Advanced tab in the Job Settings panel, edit the following settings:

• Enable the Alter Schema option.
• Enable the Drop Table option.

If you are using Automation Suite, set the Destination Schema in the Settings panel on the overview tab. Use the schema name you retrieved when you created the destination connection.

Setting up environment variables in the extraction job

Important: Make sure you edit the Pre-job Event.

CData Sync allows the use of environment variables in order to drive specific extraction logic in each query.

In order to setup the environment variables:

<!-- Modify environment variables here. -->
<!-- Variable start_extraction_date and end_extraction_date must be populated.--> 
<!-- The following values are just an example (start being = 01-01-1900 and end being = 01-01-2300).--> 
<api:set attr="out.env:start_extraction_date"  value= 000001 />
<api:set attr="out.env:end_extraction_date"  value= 400001 />
<api:push item="out" />

By default, end_extraction_date will default to today's date. start_extraction_date must always be populated. The dates should be formatted in julian format, as this is the format used in JDE internally. Use the following to calculate the correct value:

To transform 31/12/2021 into a JDE julian format (CYYDDD is an integer) C = First 2 digits from the year minus the 19 (JDE uses 01-01-1900 as base to create date fields), in our example: C = 20 - 19 = 1 YY = The last 2 digits of the year, in our example: YY = 21 DDD = Is the day of the year (1-365 range, except for leap years that is 1-366), in our example: DDD = 365 So 31/12/2021 in JDE format is 121365.

Setting up the data ingestion call

After the data has been successfully loaded, the Process Mining platform needs to start the data ingestion process. This is done by calling the End of Upload API. In order to set this up, follow the steps below:

<api:set attr="http.url" value="END_OF_UPLOAD_API"/> 
<!-- <api:set attr="http.verbosity" value="5"/> -->
<!-- <api:set attr="http.logfile" value="D:/mydir/cdata_log.txt"/> -->
<api:call op="httpPost" in="http"/>

Table Replication

Once the job is correctly setup, go to Task tab, click + Add Tasks, enable the Custom Query option and paste the following queries (each query needs to maintain the semicolon at the end). Make sure you save all changes.

REPLICATE [F0005] SELECT [DRKY] AS [drky], [DRRT] AS [drrt], [DRSY] AS [drsy], [DRDL01] AS [drdl01] FROM [JDECTL920].[F0005];
REPLICATE [F0006] SELECT [MCMCU] AS [mcmcu], [MCDL01] AS [mcdl01] FROM [JDEDATA920].[F0006];
REPLICATE [F0010] SELECT [CCCO] AS [ccco], [CCCRCD] AS [cccrcd], [CCNAME] AS [ccname] FROM [JDEDATA920].[F0010];
REPLICATE [F0014] SELECT [PNPTC] AS [pnptc], [PNPTD] AS [pnptd] FROM [JDEDATA920].[F0014];
REPLICATE [F0015] SELECT [CXAN8] AS [cxan8], [CXCRCD] AS [cxcrcd], [CXCRDC] AS [cxcrdc], [CXRTTYP] AS [cxrttyp], [CXEFT] AS [cxeft], [CXCRR] AS [cxcrr] FROM [JDEDATA920].[F0015] WHERE ([CXEFT] >= '{env:start_extraction_date}') AND ([CXEFT] <= '{env:end_extraction_date}');
REPLICATE [F0092] SELECT [ULAN8] AS [ulan8], [ULUSER] AS [uluser] FROM [JDESY920].[F0092];
REPLICATE [F0101] SELECT [ABAN8] AS [aban8], [ABALPH] AS [abalph], [ABMCU] AS [abmcu], [ABAT1] as [abat1] FROM [JDEDATA920].[F0101];
REPLICATE [F0116] SELECT [ALAN8] AS [alan8], [ALEFTB] AS [aleftb], [ALCTY1] AS [alcty1], [ALCOUN] AS [alcoun], [ALADDS] AS [aladds], [ALCTR] AS [alctr] FROM [JDEDATA920].[F0116];
REPLICATE [F0411] SELECT [RPDOC] AS [rpdoc], [RPDCT] AS [rpdct], [RPKCO] AS [rpkco], [RPDCTA] AS [rpdcta], [RPSFX] AS [rpsfx], [RPAN8] AS [rpan8], [RPVOD] AS [rpvod], [RPTORG] AS [rptorg], [RPAAP] as [rpaap], [RPBCRC] AS [rpbcrc], [RPAG] AS [rpag], [RPCRCD] AS [rpcrcd], [RPACR] AS [rpacr], [RPPTC] AS [rpptc], [RPPYIN] AS [rppyin], [RPUPMJ] AS [rpupmj], [RPDICJ] AS [rpdicj], [RPDIVJ] AS [rpdivj], [RPDGJ] AS [rpdgj], [RPDDJ] AS [rpddj], [RPDDNJ] AS [rpddnj], [RPADSC] AS [rpadsc], [RPADSA] AS [rpadsa] FROM [JDEDATA920].[F0411] WHERE ([RPUPMJ] >= '{env:start_extraction_date}') AND ([RPUPMJ] <= '{env:end_extraction_date}');
REPLICATE [F0414] SELECT [RNPYID] AS [rnpyid], [RNKCO] AS [rnkco], [RNDOC] AS [rndoc], [RNDCT] AS [rndct], [RNDCTM] AS [rndctm], [RNUSER] AS [rnuser], [RNPID] AS [rnpid], [RNAN8] AS [rnan8], [RNRC5] AS [rnrc5], [RNUPMJ] AS [rnupmj] FROM [JDEDATA920].[F0414] WHERE ([RNUPMJ] >= '{env:start_extraction_date}') AND ([RNUPMJ] <= '{env:end_extraction_date}') AND [RNDCT] IS NOT NULL;
REPLICATE [F4101] SELECT [IMDSC1] AS [imdsc1], [IMLITM] AS [imlitm] FROM [JDEDATA920].[F4101];
REPLICATE [F40203] SELECT [FSDCTO] AS [fsdcto], [FSTRTY] AS [fstrty], [FSSTDS] AS [fsstds], [FSLNTY] AS [fslnty] FROM [JDEDATA920].[F40203];
REPLICATE [F43121] SELECT [PRMATC] AS [prmatc], [PRKCO] AS [prkco], [PRDOC] AS [prdoc], [PRDCT] AS [prdct], [PRKCOO] AS [prkcoo], [PRDOCO] AS [prdoco], [PRDCTO] AS [prdcto], [PRLNID] AS [prlnid], [PRAN8] AS [pran8], [PRSFXO] AS [prsfxo], [PRNLIN] AS [prnlin], [PRLITM] AS [prlitm], [PRUOM] AS [pruom], [PRUREC] AS [prurec], [PRAREC] AS [prarec], [PRCRCD] AS [prcrcd], [PRFEC] AS [prfec], [PRUPMJ] AS [prupmj], [PRTDAY] AS [prtday], [PRUSER] AS [pruser], [PRPID] AS [prpid] FROM [JDEDATA920].[F43121] WHERE ([PRUPMJ] >= '{env:start_extraction_date}') AND ([PRUPMJ] <= '{env:end_extraction_date}') AND [PRMATC] IN ('2','3');
REPLICATE [F43199] SELECT [OLOPDJ] AS [olopdj], [OLAEXP] AS [olaexp], [OLFEA] AS [olfea], [OLSHAN] AS [olshan], [OLKCOO] AS [olkcoo], [OLDOCO] AS [oldoco], [OLDCTO] AS [oldcto], [OLLNID] AS [ollnid], [OLOCTO] AS [olocto], [OLMCU] AS [olmcu], [OLPDS1] AS [olpds1], [OLPDS2] AS [olpds2], [OLPDP1] AS [olpdp1], [OLPDP2] AS [olpdp2], [OLLITM] AS [ollitm], [OLAN8] AS [olan8], [OLLNTY] AS [ollnty], [OLCRCD] AS [olcrcd], [OLUORG] AS [oluorg], [OLUOPN] AS [oluopn], [OLUOM] AS [oluom],
[OLTRDJ] AS [oltrdj], [OLDGL] AS [oldgl], [OLLTTR] AS [ollttr], [OLNXTR] AS [olnxtr], [OLUPMJ] AS [olupmj], [OLTDAY] AS [oltday], [OLUSER] AS [oluser], [OLTORG] AS [oltorg], [OLPID] AS [olpid], [OLOKCO] AS [olokco], [OLOORN] AS [oloorn], [OLOGNO] AS [ologno], [OLUKID] AS [olukid], [OLLOCN] AS [ollocn] FROM [JDEDATA920].[F43199] WHERE ([OLUPMJ] >= '{env:start_extraction_date}') AND ([OLUPMJ] <= '{env:end_extraction_date}') AND [OLLTTR] IS NOT NULL;

Input fields

The following tables include the list of fields per input table, their description, data type to be used when formatting the input and the filter flag to identify those that are being used to filter data.

Input types

Below is an overview of the different field types and their default format settings.

Notes

• For all JDE tables, blanks and nulls do not mean the same thing. Note that CData Sync must not replace these values. For many of the fields, a blank could mean a standard/default value. And a null just means there is no value at all.
• Table names and field names are case-sensitive. Always make sure that the field names (column headers) in your dataset match the field names in the table below and that the file names match the table names.

Input tables & fields

F0005

Stores user-defined codes and their descriptions.

F0006

Stores information about branch, plant, warehouse, and business unit information, such as company, description, and category codes that are assigned to that object.

F0010

Stores company definitions, including number and name, fiscal date pattern, and current period.

F0014

Stores standard payment terms.

F0015

Stores currency exchange rates.

F0092

Stores information about the user and what kinds of access the user has.

F0101

Stores address book information, including companies, suppliers, and customers.

F0116

Stores addresses, address lines, postal codes, and effective dates for address book numbers. Also, the stored information includes the fields that need to be protected for data privacy.

F4101

Stores basic information about each item, including Item number, Description, Search keys Category codes, Default units of measure, Process groups for the JD Edwards EnterpriseOne Warehouse Management system, Item dimension group.

F40203

Stores information about order activity rules, such as order type, line type, last status, and next status.

F0411

Stores information about Accounts Payable Ledger.

F0414

Stores information about Accounts Payable Matching Document Detail.

F43121

Stores receipt record and voucher record information with details such as open quantity and open amount.

F43199

Stores detail information for each purchase order line, such as item number, price, quantity ordered, and purchase amount (PA) ledger type.

Configuring transformations

Seed files

The following seed files are available for Oracle JDE Purchase-to-Pay:

Automation_estimates_raw

This seed file is used to add automation-related properties to each activity, used for the automation potential dashboard. For more information, see Simulating Automation Potential.

Due_dates_configuration_raw

This seed file is used to define properties for the due dates. For more information, see Due Dates.

Setup_activities

Setup_order_types

As Oracle JDE stores all type of orders in the same table, it is required to classify each of them into objects. For remote cases where one of the order types could not be classified automatically, the following message is displayed in the Object_list table: Order type not defined in a single object.

In this case, the order type must be classified manually by adding it to the setup_order_type file.

Setup_users

There are not always automated flags or ways to use algorithms to find out what activities were made automatically. In this case, you can manually set those users that are deemed automated.

The setup_users.csv seed file contains the information of all automated users that need to be flagged manually.

Dbt variables

Design specifications

Objects

Activities

Procurement module

For the Procurement module, activities are generated from a concatenation of the last status and its description which are not standard and mostly customizable for each JDE implementation.

Procurement activities: F43199.Status_Code_Last + ' - ' + F40203.Description_Status

Examples:

105 - Create New Item

105 - Reject Requisition

Below is a list of activities that can exist for the Procurement module. (Note that the actual names depend on the JDE implementation)

• Purchase requisitions
  • Enter purchase requisition
  • Approve purchase requisition
  • Reject purchase requisition
  • Close purchase requisition
• Blanket orders
  • Enter blanket order
  • Approve blanket order
  • Print blanket order
  • Release blanket order
• Purchase orders
  • Enter purchase order
  • Approve purchase order
  • Reject purchase order
  • Print purchase order
• Goods receipt
  • Goods receipt

Accounts Payable module

The Accounts Payable module does not have historical information nor customized activities like mentioned for Procurement. Therefore, all activities were created in advance.

The following activities are available for both Procurement and Accounts Payable modules:

Note on Activity_order attribute Activity orders are set following different logics according to the module where they were generated. For all activities from procurement module, the last status code is used as the activity order. For AP activities, they were predefined in the models that generate them.

The following table shows the ranges used for each object in the procurement module.

The following is the complete list of all Accounts Payable activities and their Activity order.

Design details

The procurement module in JDE records transactions for all types of orders in the same table F43199 and there is no classification done in the system that could be used for splitting between all objects. Therefore, knowing what type of orders belong to each object needs an extra effort. Object_list will be used to automatically classify all order types into different objects.

The last_status_code in JDE is used for tracking the activities that have happened to each order item. These statuses are 3-digit numbers that go from 100 to 999. And, in a standard implementation of JDE, sections of that range are defined for each object.

All statuses greater than 900 do not represent any particular object and must be filtered out. Statuses over 900 are related to cancellations and purges.

Known issues

• Display currency: In the rare case where the client does not have the same reporting currency code across its multiple companies, it may happen that currency conversion rates are not available for converting everything into a single currency.

Common problems

• Order types not being classified in any object: If one of the values of the Object_list. Object is 'Order type not defined in a single object' a manual intervention must be done.