ADW Version Oracle Database 19c Enterprise Edition Release – Production Version 19.5.0.0.0
Oracle Cloud Application 21B (11.13.21.04.0)
Fusion Analytics Warehouse Application Version 21.R2.P3
Background
Fusion HCM Analytics provides comprehensive workforce, turnover data sourced from Fusion HCM Cloud in a warehouse designed to support broad set of analytics use cases. In some specific use cases, Fusion HCM Analytics data can be complemented with additional Payroll, Cumulative Earning – Deduction or Costing data sets. For such data, Fusion HCM Cloud provide with an extract mechanism named HCM Extracts. HCM Extracts uses BI Publisher as the delivery mechanism for extracted data.
This blog is part of in a series covering topics on how to utilize Oracle ETL / Data Integration tools to extract data from various data sources to complement Fusion Analytics Warehouse factory data. Future blog topics will cover extracting from: Oracle SaaS Applications, Oracle on-premise applications (e.g. EBS), and other Oracle applications such as Responsys, Eloqua and third party data sources like Salesforce or Workday.
This blog walks though how to configure Oracle Data Integrator (ODI) on Oracle Cloud Marketplace to replicate data from Fusion HCM Cloud, using HCM Extracts, into an Autonomous Data Warehouse (ADW) database that is part of the FAW product.
* Follow the steps in the first blog for instructions on:
Policies Assignment (Step 1)
SSH key-pair Generation (Step 4-b and 4-c)
ODI Marketplace Provisioning (Step 2)
ADW Configuration (Step 5-h, 5-i, 5-j and 6-d)
Architecture Overview
The diagram below details the architecture blue print for this use case:
Figure 1 : Architecture overview
The data flow is as follow:
ODI Market Place (MP) will be installed in Linux VM
An object storage bucket will be mounted as a folder mount point on the ODI MP VM (with s3sfuse)
An SFTP Server will be configured with private key authentication with opc user on the ODI VM
Create and Prepare an HCM Payroll Data Extract
Edit/ Create HCM Extract Definition in Fusion HCM : Extract Parameters, Blocks + Filter Records, Data Elements, Validate Extract
Integrate HCM Extract with BIP: Create RTF template and report in BI Publisher
Set Up Report Options: Define Delivery Method (SFTP) and Associate Report location in BI
Run / Schedule Extract using FlowActionService SOAP API to push the HCM Extract to SFTP
ODI MP will wait for the HCM Extract to be deliver to the SFTP before integrating it into ADW with the LKM File to Oracle
All additional transformations will happen inside the ADW
HCM extracts can be scheduled once every day
Semantic model will be extended by customizing an existing subject area or addition of a new subject area to allow reporting on HCM data extracted in ADW, as per the CEAL Team blog available here.
Set up ODI Topology in ODI Marketplace
In the Part 1 blog and Part 2 blog, the SFTP server / BI Publisher / Object Storage configuration was achieved as well as the HCM Extract configuration, preparation and execution. The HCM extract file outputed a file on object storage. Now in order for ODI to consume the generated HCM Extract csv file, the ODI Topology needs to be set up, especially the File and ADW technology. The following steps assume that the ODI Studio is opened and that the user is connected to the ODI Repository with a user that has access to define ODI Topology.
Create the File Physical, Logical architectures and set Global context
a) In Topology > Physical Architecture, create a new File Data Server and name it HCM_EXTRACT_FILES. Save -> Test the connection.
Create the ADW Physical, Logical architectures and set Global context
Refer to this blog to review your ADW topology – Steps 5 h), i) and j).
Create ODI Models and Reverse Engineer HCM Extract Data files
In the Part 2 – Blog, the HCM Extract generate a CSV file named HCMX_PAYMENT_REGISTER.csv in /u01/oracle/oss/s3fs-fuse-sftp-bucket. Follow the steps below to create the ODI Model and Data Store to that the HCM Extract file can be mapped as a source in ODI.
a) In ODI Designer, create a new model folder -> Create a new model. Name it HCM_Extract_Files, select File Technology and LS_HCM_EXTRACT_FILES logical architecture:
Figure 5 : HCM Extract Model
b) Create a new data store named and aliased HCMX_PAYMENT_REGISTER. Select the csv file the HCM Extract has produced.
Figure 6: HCM Extract Data Store
c) Click on File tab in the data store and set the delimited format, the heading to one, the record separator as Unix, the Field seperator as comma, the text delimiter as double quotes and the decimal separator as the .
Figure 7: HCM Extract Data Store
d) Click on attributes and reverse engineer the attributes in the CSV file header. The columns size and file type might be adjusted based on the actual values of the columns (here all columns are VARCHAR(255).
NOTE : As BI Publisher report occasionally uses the same names for parameters columns and actual data columns, one may need to update the column names in the CSV file so there are no duplicate and ODI avoids firing com.sunopsis.dwg.SQLWorkReposException: ORA-00001: unique constraint (HA_ODI_REPO.AK_REV_COL) violated error . This operation will only need to be done once, for the initial reverse engineering,
Figure 8: HCM Extract Data Store Columns
Create the ADW ODI diagram, Create target ADW Datastore and Create / Run ODI Package and Mapping
Create the ADW ODI diagram
a) Reuse the existing model from Topology defined as per the previous blog. Below are the figures for the physical, logical schemas and context mapping.
Figure 9: HCM Extract ADW Topology
b) In Designer, create a new model named ODI_DATA_HCM
Figure 10: HCM Extract ADW model
c) Create a new ADW diagram named ODI_DATA_HCM-> Drag and drop the HCMX_PAYMENT_REGISTER File datastore onto the diagram -> Click OK.
Figure 11: HCM Extract ADW Diagram
d) Rename and alias the Data store HCMX_PAYMENT_REGISTER. Enter HCMX_PAYMENT_REGISTER in the resource name and in the Alias.
Figure 12: HCM Extract ADW Data Store
e) Click on Attributes > Reverse Engineer to create the datastore on the ADW diagram.
Figure 13: HCM Extract ADW Data Store Columns
c) Click OK.
Figure 14: Save HCM Extract ADW Data Store
d) Confirm that the data store is created and appears in the ADW diagram.
Create and Run ODI Mapping
Creating the ODI Mapping
a) From Designer -> Create a new Project named HCM Data Replication With HCM Extracts . Rename the first folder into HCM Extract BIP to OSS. Under the folder -> Create a new Mapping named Load_HCMX_PAYMENT_REGISTER.
Figure 15: HCM Extract Project, Folder and Mapping
b) Drag and drop the File HCMX_PAYMENT_REGISTER datastore on the left side of the Mapping diagram. Drag and drop the ADW HCMX_PAYMENT_REGISTER datastore on the right side of the Mapping diagram.
c) Connect the two datastores -> select “Match Options” = “By Name”.
Figure 16: Map source and target HCM Extract data stores columns
d) Click on the Physical implementation -> Select the first element in the target group. Confirm the Loading Knowledge Module is set to LKM File to Oracle (Built in).GLOBAL:
Figure 17: Define LKM
e) Select the second element in the TARGET_GROUP -> Confirm the IKM is set to IKM Oracle Insert.GLOBAL -> Ensure the CREATE_TARGET_TABLE and TRUNCATE_TARGET_TABLE options are set to true.
Figure 18: Define IKM
f) Click on Logical and View the data on HCMX_PAYMENT_REGISTER source. Save the mapping.
Figure 19: View source data Define IKM
Running the ODI Mapping
a) Run the mapping and confirm the successful execution
Figure 20: Execute HCM Extract File to ADW load mapping
b) Verify the table has been created in ADW and that the HCM Extract data was loaded
Figure 21: View ADW table with HCM Extract File data loaded
This concludes the activities in the blog.
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Summary
This article walked through the steps to configure Oracle Data Integrator on Oracle Cloud Marketplace (ODI) to replicate data from HCM Extracts into an Autonomous Data Warehouse (ADW) database.
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Authors
Matthieu Lombard
Consulting Solution Architect
The Oracle A-Team is a central, outbound, highly technical team of enterprise architects, solution specialists, and software engineers.
The Oracle A-Team works with external customers and Oracle partners around the globe to provide guidance on implementation best practices, architecture design reviews, troubleshooting, and how to use Oracle products to solve customer business challenges.
I focus on data integration, data warehousing, Big Data, cloud services, and analytics (BI) products. My role included acting as the subject-matter expert on Oracle Data Integration and Analytics products and cloud services such as Oracle Data Integrator (ODI), and Oracle Analytics Cloud (OAC, OA For Fusion Apps, OAX).