Aurion Schedule Connector
Overview
An Aurion schedule connector is a reading and updating Connector provided by UNIFYBroker/Aurion.
This connector is an extension of the Aurion generic reading connector, and therefore supports all the same functionality, in addition to being able to update scheduled employees..
Technical Requirements
The Aurion schedule connector has no additional requirements following the listed connector prerequisites.
Usage
Reading | Yes |
---|---|
Updating | Yes |
Adding | No |
Deleting | No |
Polling | No |
In addition to querying data, this connector is capable of updating scheduled employees with the EMP_SCHED_EMP function of Aurion's ev397_aurion_ws web service:
- AWARD_CODE
- BANK_ACCOUNT
- BANK_ACCOUNT_NAME
- BANK_BRANCH
- CONTRACT_EXPIRY_DATE
- DATE_APPROVED
- DAYS_PER_WEEK
- EMPLOYEE_NO
- ENTERPRISE_AGREEMENT_CODE
- FULL_TIME_HPW
- HAVE_WORK_PATTERN
- HOLIDAY_GROUP_CODE
- HOURS_PER_WEEK
- PAYMENT_TYPE
- PAY_BRANCH_CODE
- PAY_ENTITY_CODE
- PAY_POINT_CODE
- PROBATION_DATE_DUE
- PROBATION_TYPE_CODE
- STANDARD_MON_FRI
- VALIDATE_ONLY
- WP_START_WEEK
- WP_WEEK1_FRI
- WP_WEEK1_MON
- WP_WEEK1_SAT
- WP_WEEK1_SUN
- WP_WEEK1_THU
- WP_WEEK1_TUE
- WP_WEEK1_WED
- WP_WEEK2_FRI
- WP_WEEK2_MON
- WP_WEEK2_SAT
- WP_WEEK2_SUN
- WP_WEEK2_THU
- WP_WEEK2_TUE
- WP_WEEK2_WED
Schema
In addition to the standard Query fields schema provider, there is an additional provider called Default Schedule schema.
This creates a schema based on the fields supported by the EMP_SCHED_EMP
function. The fields from this schema provider must be used over those that are returned by the query to allow for exports to occur to those fields. To map between differences in field names from Aurion query names to schema fields, update the mapping settings.
Configuration
An Aurion schedule connector has the same configuration as its base generic reading connector.
Mappings
Mappings allow fields in the schema to be mapped to the attribute names returned by the Aurion query during read operations. These are required when using the default schema provider, as the schema fields names are not the same as the query field names.
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