SELECT papf.person_number
FROM per_all_people_f papf
WHERE 1=1
AND EXISTS (SELECT 1 FROM per_periods_of_service ppos
WHERE ppos.person_id = papf.person_id
AND (ppos.actual_termination_date IS NULL or ppos.actual_termination_date>= TRUNC(SYSDATE))
GROUP BY ppos.person_id
HAVING COUNT (ppos.period_of_service_id) >1
)
HCM Data Loader can be used to mass upload worker images. The actual image file should be put in a BlobFiles folder and should be referenced in actual Worker.dat file.
Post this, Worker.dat will be zipped together with BlobFiles folder and uploaded into HCM using Import and Load.
In your test environments, you may encounter issues where you want to DELETE positions data. You can use below script for that:
SELECT DATA_ROW
FROM (
SELECT 'METADATA|Position|PositionId|EffectiveStartDate|EffectiveEndDate|SourceSystemId|SourceSystemOwner' AS DATA_ROW
FROM DUAL
UNION all
select 'DELETE'||'|'||
'Position' ||'|'||
hapf.Position_Id||'|'||
to_char(hapf.Effective_Start_Date,'RRRR/MM/DD')||'|'||
to_char(hapf.Effective_End_Date,'RRRR/MM/DD') ||'|'||
(select email_hrc.source_system_id
from hrc_integration_key_map email_hrc
WHERE hapf.Position_Id = email_hrc.surrogate_id) ||'|'||
(select email_hrc.source_system_owner
from hrc_integration_key_map email_hrc
WHERE hapf.Position_Id = email_hrc.surrogate_id) AS DATA_ROW
from hr_all_positions_f hapf
)
Post P2T, there is always a requirement to mask the candidate email addresses in lower environments. Below SQL can be used to generate data masked email data in HDL format:
METADATA|DocumentsOfRecord|PersonNumber|Country|DocumentType|DocumentCode|DateFrom|DateTo
MERGE|DocumentsOfRecord|78652|United Kingdom|UK Vehicle Information|OVERTIME_AVERAGING_AGREEMENT_2020-10-01|2020/10/01|2022/10/01
METADATA|DocumentAttachment|PersonNumber|Country|DocumentType|DocumentCode|DataTypeCode|Title|URLorTextorFileName|File
MERGE|DocumentAttachment|78652|United Kingdom|UK Vehicle Information|OVERTIME_AVERAGING_AGREEMENT_2020-10-01|FILE|DD test document of record for HDL.pdf|DD test document of record for HDL.pdf|DD test document of record for HDL.pdf
Please note that under attribute country, you will need to pass the full country name. Passing country code like GB, will throw below error:
The values GB aren’t valid for the attribute LegislationCode.
This data can be extracted from Fusion HCM using a simple BIP query:
SELECT DATA_ROW
FROM (
SELECT 'METADATA|ScheduleAssignment|ResourceType|ScheduleAssignmentId|SourceSystemId|SourceSystemOwner' AS DATA_ROW
FROM DUAL
UNION all
select 'DELETE|ScheduleAssignment|',
RESOURCE_TYPE,
SCHEDULE_ASSIGNMENT_ID,
source_system_id,
source_system_owner AS DATA_ROW
from fusion.per_schedule_assignments psa
,hrc_integration_key_map hikm
where psa.SCHEDULE_ASSIGNMENT_ID = hikm.surrogate_id
)
Oracle has provided a new feature where working hours for each day can be stored against assignment working hours.
The data is stored in PER_WORKING_HOUR_PATTERNS_F table.
Use below query to extract the data:
SELECT papf.person_number, pwhpf.*
FROM PER_WORKING_HOUR_PATTERNS_F pwhpf
,PER_ALL_ASSIGNMENTS_M paam
,PER_ALL_PEOPLE_F papf
WHERE pwhpf.OBJECT_ID = paam.ASSIGNMENT_ID
AND paam.PERSON_ID = papf.PERSON_ID
AND papf.person_number = '10011'
AND paam.assignment_type = 'E'
AND TRUNC(SYSDATE) BETWEEN papf.effective_start_date AND papf.effective_end_date
AND TRUNC(SYSDATE) BETWEEN paam.effective_start_date AND paam.effective_end_date
AND paam.effective_start_date BETWEEN pwhpf.effective_start_date AND pwhpf.effective_end_date
Query to extract data in HDL format:
SELECT
'METADATA|WorkingHourPattern|WorkingHourPatternId|EffectiveStartDate|EffectiveEndDate|Object|ObjectId|AssignmentNumber|PersonId|ReplaceFirstEffectiveStartDate' as DATA_ROW, 1 ORDERBY From dual
UNION
SELECT 'MERGE|WorkingHourPattern|'
|| pwhpf.WORKING_HOUR_PATTERN_ID
|| '|'
|| TO_CHAR(pwhpf.EFFECTIVE_START_DATE,'YYYY/MM/DD')
|| '|'
|| TO_CHAR(pwhpf.EFFECTIVE_END_DATE,'YYYY/MM/DD')
|| '|ASSIGNMENT|'
|| pwhpf.object_id
|| '|'
|| paam.assignment_number
|| '|'
|| paam.person_id
|| '|'
|| 'Y'
as DATA_ROW, 2 ORDERBY
FROM PER_WORKING_HOUR_PATTERNS_F pwhpf
,PER_ALL_ASSIGNMENTS_M paam
WHERE paam.assignment_id = pwhpf.object_id
AND paam.assignment_type = 'E'
AND TRUNC(SYSDATE) BETWEEN paam.effective_start_date AND paam.effective_end_date
AND paam.effective_start_date BETWEEN pwhpf.effective_start_date AND pwhpf.effective_end_date;
Oracle provides a process Purge Person Data in Test Environments to remove Person/Contact/Worker records from a test environment of Oracle HCM. Please note that HDL for core worker object doesn’t support DELETE, so there is no other option to purge the Person/Contact/Worker information from Oracle HCM once a record is created. In this case, Purge Person Data in Test Environments is definitely a useful utility which helps to purge person related data from a test environment.
This process can’t be run in Oracle HCM Production.
Before 21D, the process required an additional step to get a key to enable to process in Test environments but from 21D onwards the process is enabled by default in all test environments.
You can find more details related to this process on below link:
Click on schedule new process –> Search for Purge Person Data in Test Environments
Supply the parameters
Sample Person SQL’s:
To remove only Contact Person records:
SELECT DISTINCT papf.person_id FROM per_all_people_f papf WHERE 1=1 AND NOT EXISTS (SELECT 1 FROM per_periods_of_service ppos where ppos.person_id = papf.person_id)
To remove all person records:
SELECT DISTINCT papf.person_id FROM per_all_people_f papf
Use below SQL to monitor the progress of entries in each table:
SELECT a.*
FROM
(
SELECT 'ANC_PER_ABS_ENTRIES' table_name, count(*) rowcount FROM ANC_PER_ABS_ENTRIES
UNION
SELECT 'ANC_PER_ABS_ENTRY_DTLS' table_name, count(*) rowcount FROM ANC_PER_ABS_ENTRY_DTLS
UNION
SELECT 'ANC_PER_ABS_MATERNITY' table_name, count(*) rowcount FROM ANC_PER_ABS_MATERNITY
UNION
SELECT 'ANC_PER_PLAN_ENROLLMENT' table_name, count(*) rowcount FROM ANC_PER_PLAN_ENROLLMENT
UNION
SELECT 'ANC_PER_ABS_PLAN_ENTRIES' table_name, count(*) rowcount FROM ANC_PER_ABS_PLAN_ENTRIES
UNION
SELECT 'ANC_PER_ACCRUAL_ENTRIES' table_name, count(*) rowcount FROM ANC_PER_ACCRUAL_ENTRIES
UNION
SELECT 'ANC_PER_ACRL_ENTRY_DTLS' table_name, count(*) rowcount FROM ANC_PER_ACRL_ENTRY_DTLS
UNION
SELECT 'CMP_SALARY' table_name, count(*) rowcount FROM CMP_SALARY
UNION
SELECT 'PAY_ASSIGNED_PAYROLLS_DN' table_name, count(*) rowcount FROM PAY_ASSIGNED_PAYROLLS_DN
UNION
SELECT 'PAY_ASSIGNED_PAYROLLS_F' table_name, count(*) rowcount FROM PAY_ASSIGNED_PAYROLLS_F
UNION
SELECT 'PER_ADDRESSES_F' table_name, count(*) rowcount FROM PER_ADDRESSES_F
UNION
SELECT 'PER_ALL_ASSIGNMENTS_M' table_name, count(*) rowcount FROM PER_ALL_ASSIGNMENTS_M
UNION
SELECT 'PER_ALL_PEOPLE_F' table_name, count(*) rowcount FROM PER_ALL_PEOPLE_F
UNION
SELECT 'PER_ASSIGN_WORK_MEASURES_F' table_name, count(*) rowcount FROM PER_ASSIGN_WORK_MEASURES_F
UNION
SELECT 'PER_CITIZENSHIPS' table_name, count(*) rowcount FROM PER_CITIZENSHIPS
UNION
SELECT 'PER_DRIVERS_LICENSES' table_name, count(*) rowcount FROM PER_DRIVERS_LICENSES
UNION
SELECT 'PER_EMAIL_ADDRESSES' table_name, count(*) rowcount FROM PER_EMAIL_ADDRESSES
UNION
SELECT 'PER_ETHNICITIES' table_name, count(*) rowcount FROM PER_ETHNICITIES
UNION
SELECT 'PER_NATIONAL_IDENTIFIERS' table_name, count(*) rowcount FROM PER_NATIONAL_IDENTIFIERS
UNION
SELECT 'PER_PASSPORTS' table_name, count(*) rowcount FROM PER_PASSPORTS
UNION
SELECT 'PER_PEOPLE_LEGISLATIVE_F' table_name, count(*) rowcount FROM PER_PEOPLE_LEGISLATIVE_F
UNION
SELECT 'PER_PERIODS_OF_SERVICE' table_name, count(*) rowcount FROM PER_PERIODS_OF_SERVICE
UNION
SELECT 'PER_PERSON_ADDR_USAGES_F' table_name, count(*) rowcount FROM PER_PERSON_ADDR_USAGES_F
UNION
SELECT 'PER_PERSON_NAMES_F' table_name, count(*) rowcount FROM PER_PERSON_NAMES_F
UNION
SELECT 'PER_PERSON_TYPE_USAGES_M' table_name, count(*) rowcount FROM PER_PERSON_TYPE_USAGES_M
UNION
SELECT 'PER_PERSONS' table_name, count(*) rowcount FROM PER_PERSONS
UNION
SELECT 'PER_PHONES' table_name, count(*) rowcount FROM PER_PHONES
UNION
SELECT 'PER_RELIGIONS' table_name, count(*) rowcount FROM PER_RELIGIONS
UNION
SELECT 'PER_VISAS_PERMITS_F' table_name, count(*) rowcount FROM PER_VISAS_PERMITS_F
UNION
SELECT 'PAY_ELEMENT_ENTRIES_F' table_name, count(*) rowcount FROM PAY_ELEMENT_ENTRIES_F
UNION
SELECT 'PAY_ELEMENT_ENTRY_VALUES_F' table_name, count(*) rowcount FROM PAY_ELEMENT_ENTRY_VALUES_F
UNION
SELECT 'PER_WORKING_HOUR_PATTERNS_F' table_name, count(*) rowcount FROM PER_WORKING_HOUR_PATTERNS_F
UNION
SELECT 'PER_ASSIGNMENT_EXTRA_INFO_M' table_name, count(*) rowcount FROM PER_ASSIGNMENT_EXTRA_INFO_M
UNION
SELECT 'PER_ASSIGNMENT_SUPERVISORS_F' table_name, count(*) rowcount FROM PER_ASSIGNMENT_SUPERVISORS_F
UNION
SELECT 'PER_PEOPLE_EXTRA_INFO_F' table_name, count(*) rowcount FROM PER_PEOPLE_EXTRA_INFO_F
UNION
SELECT 'HR_DOCUMENTS_OF_RECORD ' table_name, count(*) rowcount FROM HR_DOCUMENTS_OF_RECORD
UNION
SELECT 'PER_CONTACT_RELATIONSHIPS ' table_name, count(*) rowcount FROM PER_CONTACT_RELATIONSHIPS
) a
where
a.rowcount <> 0
You can add/remove more tables based on data in your environment.
Stats:
Normally the process takes around 5-6 hrs for 16-17K employees. Performance depends upon environment sizing as well among other factors.
When loading Candidate data using HDL, the values of Source attributes (Source and Source Medium) are required. These values are configured in UI using task ‘Manage Candidate Dimension Source Names’.
Use below SQL to get the values:
SELECT DISTINCT
source_medium_url_value,
source_url_value
FROM
fusion.IRC_DIMENSION_DEF_VL
Oracle provides HCMGroup.dat which can be used to assign members against HCM Group. However, the business object has a major limitation (till release version 22A) that it can be used only for below two seeded Oracle HCM Groups:
Manually Maintained Excluded Members
Manually Maintained Audit Members
Below is the sample HDL file to add members to Audit HCM Group:
For any custom HCM Groups, this can’t be used. If you try to use any custom Group Code in the HDL file, you will receive below error:
Valid values for attribute GROUP CODE: MANUALLY MAINTAINED AUDIT MEMBERS,MANUALLY MAINTAINED EXCLUDED MEMBERS.
Query to extract members of an HCM Group:
SELECT hgt.group_name
,papf.person_id
,papf.person_number
,ppnf.full_name
,ppnf.last_name
,ppnf.first_name
,hgmf.effective_start_date
,hgmf.effective_end_date
FROM PER_ALL_PEOPLE_F papf,
PER_PERSON_NAMES_F ppnf,
HWM_GRP_MEMBERS_F hgmf,
HWM_GRPS_B hgb,
HWM_GRPS_TL hgt
WHERE hgb.grp_id = hgmf.grp_id
AND hgb.grp_id = hgt.grp_id
AND hgt.language = 'US'
AND papf.person_id = hgmf.member_id
AND papf.person_id = ppnf.person_id
AND ppnf.name_type ='GLOBAL'
AND trunc(sysdate) BETWEEN hgmf.effective_start_date and hgmf.effective_end_date
AND trunc(sysdate) BETWEEN ppnf.effective_start_date and ppnf.effective_end_date
ORDER BY 1,3
Criticality at position model profile can be loaded using TalentProfile.dat file. Use the below HDL file:
METADATA|TalentProfile|ProfileCode|ProfileId|ProfileTypeId|ProfileUsageCode|SourceSystemOwner|SourceSystemId|ProfileStatusCode|Description|Summary
MERGE|TalentProfile|TEST_POS_PROFILE_3||3|M|HRC_SQLLOADER|TEST_POS_PROFILE_3|A|A Test Position Profile 3|A Test Position Profile 3 Summary
METADATA|ProfileItem|ProfileCode|ContentType|RatingLevelId1|ItemText3015|SourceSystemOwner|SourceSystemId|DateFrom|SectionId
MERGE|ProfileItem|TEST_POS_PROFILE_3|CRITICALITY||N|HRC_SQLLOADER|TEST_POS_PROFILE_3_CRIT|2022/01/01|8809
ItemText3015 – “Requires Succession Plan” radio box on UI
Screen shot from UI of uploaded data:
Useful queries:
Uploaded data will be stored in HRT_PROFILE_ITEMS.
Content Type –
select * from HRT_CONTENT_TYPES_TL where content_type_id=127
Section ID –
select *
from HRT_PROFILE_TYP_SECTIONS
WHERE CONTENT_TYPE_ID=127
AND SECTION_CONTEXT = 'POSITION_CRITICALITY'
Loading the profile data against a worker/job/position is little tricky one. One has to understand the templates thoroughly before uploading any data.
Below are some of the most commonly used queries to extract some of the required information for loading Talent profiles data.
Extract Person Profile Code:
SELECT distinct papf.person_id, papf.person_number,ProfilePEO.profile_code
FROM HRT_PROFILES_VL ProfilePEO, PER_ALL_PEOPLE_F papf
WHERE papf.person_id = ProfilePEO.person_id
AND TRUNC(SYSDATE) BETWEEN papf.effective_start_date and papf.effective_end_date
METADATA|SuccessionPlan|PlanName|PlanType|Status|AccessTypeCode|Description|IncumbentPersonNumber|JobCode|JobSetCode|DepartmentName|DepartmentSetCode|GradeSetCode|GradeCode|PositionCode|BusinessUnitName|SourceSystemId|SourceSystemOwner
MERGE|SuccessionPlan|Test_Person_Succession_Plan|INCUMBENT|ACTIVE|PUBLIC|Sample description for Incument Plan Type.|100019|||||||||HRC_SQLLOADER_Test_Person_Succession_Plan_INCUMBENT|HRC_SQLLOADER
MERGE|SuccessionPlan|Test_Job_Succession_Plan|JOB|ACTIVE|PUBLIC|Sample description for Job Plan Type.||JOB_33052|COMMON|Test Department|COMMON|COMMON|82||COMMON|HRC_SQLLOADER_Test_Job_Succession_Plan_JOB|HRC_SQLLOADER
MERGE|SuccessionPlan|Test_Position_Succession_Plan|POSITION|ACTIVE|PUBLIC|Sample description for Position Plan Type.||||Test Department|COMMON|||POS_0030|COMMON|HRC_SQLLOADER_Test_Position_Succession_Plan_POSITION|HRC_SQLLOADER
METADATA|SuccessionPlanCandidate|PlanName|PlanCandidatePersonNumber|CandidateRanking|CandidateReadiness|EmergencySuccessor|Status|SourceSystemId|SourceSystemOwner
MERGE|SuccessionPlanCandidate|Test_Position_Succession_Plan|100019|2|READY_NOW|Y|ACTIVE|HRC_SQLLOADER_Y_Test_Position_Succession_Plan_100019|HRC_SQLLOADER
METADATA|SuccessionPlanOwner|PlanName|PlanOwnerPersonNumber|OwnerTypeCode|SourceSystemId|SourceSystemOwner
MERGE|SuccessionPlanOwner|Test_Person_Succession_Plan|800012|ADMINISTRATOR|HRC_SQLLOADER_ADMINISTRATOR_800012_Test_Person_Succession_Plan|HRC_SQLLOADER
MERGE|SuccessionPlanOwner|Test_Job_Succession_Plan|800012|ADMINISTRATOR|HRC_SQLLOADER_ADMINISTRATOR_800012_Test_Job_Succession_Plan|HRC_SQLLOADER
MERGE|SuccessionPlanOwner|Test_Position_Succession_Plan|800012|ADMINISTRATOR|HRC_SQLLOADER_ADMINISTRATOR_800012_Test_Position_Succession_Plan|HRC_SQLLOADER
MERGE|SuccessionPlanOwner|Test_Position_Succession_Plan|897132|ADMINISTRATOR|HRC_SQLLOADER_ADMINISTRATOR_104990_Test_Position_Succession_Plan|HRC_SQLLOADER
Person External Identifier information can be deleted easily using HDL. Under Worker use ExternalIdentifier to delete this data.
Run the below query to extract required data in HDL format:
SELECT 'METADATA|ExternalIdentifier|ExternalIdentifierId|PersonId' HEADER, 1 DATA_ROW
FROM DUAL
UNION
SELECT 'DELETE|ExternalIdentifier|'
||peai.EXT_IDENTIFIER_ID
||'|'||peai.PERSON_ID DATAR, 2 DATA_ROW
FROM PER_EXT_APP_IDENTIFIERS peai
,PER_ALL_PEOPLE_F papf
WHERE peai.person_id = papf.person_id
AND TRUNC(SYSDATE) BETWEEN papf.effective_start_date AND papf.effective_end_date
AND papf.person_number IN ('11','12')
There may be a requirement to delete salary data while doing HDL iterations for the first time. You can use below query for the same purpose
Select 'METADATA|Salary|AssignmentNumber|SalaryAmount|DateFrom|DateTo|SalaryBasisId|SalaryId' Header, 1 data_flow_order
from dual
UNION
SELECT 'DELETE|Salary'||'|'||
paam.assignment_number||'|'||
SALARY_AMOUNT||'|'||
TO_CHAR(cs.date_from,'RRRR/MM/DD', 'nls_date_language=American')||'|'||
TO_CHAR(cs.date_to,'RRRR/MM/DD', 'nls_date_language=American')||'|'||
cs.salary_basis_id||'|'||
cs.salary_id data_row,
2 data_flow_order
FROM cmp_salary cs,
per_all_assignments_m paam
WHERE cs.assignment_id= paam.assignment_id
AND trunc(sysdate) between paam.effective_start_date AND paam.effective_end_date
AND paam.assignment_type in ('E', 'C', 'P')
AND trunc(cs.creation_date) < trunc(sysdate)-1
ORDER BY data_flow_order
In case, you need to delete assigned payroll data for masking purpose in lower environment or for some other reason like correction etc, use below query to pull the data in HDL format:
SELECT 'METADATA|AssignedPayroll|AssignedPayrollId|EffectiveStartDate|AssignmentId|LegislativeDataGroupId|PayrollId|PayrollTermId|SourceSystemId|SourceSystemOwner' HEADER, 1 DATA_ORDER
FROM DUAL
UNION ALL
SELECT 'DELETE|AssignedPayroll'
||'|'||
papd.ASSIGNED_PAYROLL_ID
||'|'||
to_char(papd.start_date,'RRRR/MM/DD')
||'|'||
paam.assignment_id
||'|'||
papd.LEGISLATIVE_DATA_GROUP_ID
||'|'||
papd.Payroll_Id
||'|'||
papd.Payroll_Term_Id
||'|'||
hikm.source_system_id
||'|'||
hikm.source_system_owner HEADER, 2 DATA_ORDER
FROM pay_assigned_payrolls_dn papd
,pay_payroll_terms ppt
,pay_pay_relationships_dn prrd
,pay_all_payrolls_f papf_pay
,pay_rel_groups_dn prgd
,pay_rel_groups_f prgf
,per_all_people_f papf
,per_person_names_f ppnf
,per_all_assignments_m paam
,hrc_integration_key_map hikm
WHERE papd.payroll_term_id = ppt.payroll_term_id
AND ppt.payroll_relationship_id = prrd.payroll_relationship_id
AND papd.payroll_id = papf_pay.payroll_id
AND prrd.person_id = papf.person_id
AND prrd.payroll_relationship_id = prgd.payroll_relationship_id
AND prgd.relationship_group_id = prgf.relationship_group_id
AND prgd.assignment_id = paam.assignment_id
AND paam.effective_latest_change = 'Y'
AND prgd.group_type = 'A'
AND ppnf.person_id = papf.person_id
AND ppnf.name_type = 'GLOBAL'
AND TRUNC(SYSDATE) BETWEEN papf.effective_start_date AND papf.effective_end_date
AND TRUNC(SYSDATE) BETWEEN ppnf.effective_start_date AND ppnf.effective_end_date
AND TRUNC(SYSDATE) BETWEEN prgf.effective_start_date AND prgf.effective_end_date
AND TRUNC(SYSDATE) BETWEEN paam.effective_start_date AND paam.effective_end_date
AND hikm.surrogate_id = papd.ASSIGNED_PAYROLL_ID
AND trunc(papd.creation_date) < trunc(sysdate)-1
--AND papf.person_number = '11111'
ORDER BY 2