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JD Edwards EnterpriseOne

Run orchestrations and read table data in JD Edwards EnterpriseOne via the AIS REST server, with a generic-request escape hatch. Covers session-token auth, request customization, and the response envelope.

Browse 3 JD Edwards EnterpriseOne actions jdedwards
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Connecting JD Edwards EnterpriseOne

Every action needs a JD Edwards connection holding your AIS server URL, username, and password, plus an optional environment, role, and device name. The AIS server must be reachable from Younifyd, so on-premises installations need an allowlist or a gateway. AIS uses session tokens: the connector posts to <server-url>/jderest/v2/tokenrequest on every action call and sends the returned token in the jde-AIS-Auth header for that request.

Request customization

Every action accepts three optional fields that shape the outgoing request:

  • Forward All Headers forwards the workflow's incoming request headers (off by default).
  • Additional Headers are key/value pairs added to the request; they override forwarded headers of the same name.
  • Query Parameters are key/value pairs appended to the URL.

Reading the response

Every action's result is at {{<stepReference>.response...}} (see Step Reference): status, statusText, headers.<name>, and data for the body.

A non-2xx response does not fail the step. It is returned with the real status code and the upstream error body under {{<stepReference>.response.data}}, so you can branch on {{<stepReference>.response.status}}. A network failure is returned as a synthetic 503, any other unexpected error as a synthetic 500.

Call Orchestration

Call Orchestration runs an orchestration published in Orchestrator Studio, via /jderest/orchestrator/<name>. Orchestrations differ per customer, so the name and the JSON input are free-form. The output fields are whatever the orchestration defines, for example {{callOrchestration.response.data.AddressNumber}}.

Query Table

Query Table reads a table or business view through the AIS Data Service. Give it a table such as F0101, optional filters on qualified columns such as F0101.AN8, and a row limit. Rows come back at {{queryTable.response.data.rowset}}.

Generic Request

Generic Request calls any other AIS endpoint, for example /v2/formservice. The path is relative to /jderest.

Your first call

  1. Create a JD Edwards connection with your AIS server URL, username, and password.
  2. Add a Query Table step with Table or View F0101, a filter on F0101.AN8 equal to 1001, and give it the name "Address Book Lookup".
  3. Read the rows in a later step with {{addressBookLookup.response.data.rowset}}.

Every action, with its fields, is listed in the action reference.

Also applies here

Step Name

What it's for

Every step in a workflow gets a name — either one you set or a default based on the connector and action (e.g. "Get Order Details", "Send Welcome Email"). It's shown throughout the UI and in your execution history, and it's also the source for the step's Reference — a camelCase identifier auto-generated from the name (e.g. "Get Order Details" → getOrderDetails) — which is what you actually use in {{...}} expressions to read this step's output from later steps. See Step Reference.

Rules

  • Must be at least 2 characters, and 50 characters or fewer.
  • Must be unique within the workflow — reusing a name that's already taken will be rejected, with a suggested alternative (e.g. "Get Order Details 2").
  • Can't be empty.

Tips

  • Prefer a descriptive, human-readable name over a generic one — "Get Order Details" is easier to work with later than "HTTP Request 2", especially once a workflow has a dozen steps.
  • Renaming a step updates every reference to it elsewhere in the workflow automatically.

Step Reference

Syntax

Any input field can reference earlier data using {{expression}}. The expression is evaluated as JSONata — so simple dot-paths and more advanced queries (filters, functions) both work.

Referencing a step's output

Use the step's Reference — a camelCase identifier auto-generated from its Name (e.g. "Get Order Details" → getOrderDetails), shown read-only wherever the step's fields are configured — followed by the field path. Elsewhere in these docs this general pattern is written as {{<stepReference>.field.path}}:

text
{{getOrderDetails.response.data.id}}
{{getOrderDetails.response.status}}

The raw display name won't work here even though it's what you see in the UI — {{Get Order Details.response.data.id}} isn't valid, since a bare name containing spaces isn't a single JSONata identifier. Always use the camelCase Reference.

You can also reference steps by position instead of by reference:

text
{{steps[0].response.data.id}}

Referencing trigger data

text
{{trigger.headers.authorization}}
{{trigger.body.customerId}}
{{trigger.query.page}}
{{trigger.params.orderId}}
{{trigger.method}}
{{trigger.path}}

Referencing workflow variables

text
{{variables.myVariable}}

See Variables for the full list of variable types and more examples, including connection-type variables.

Referencing runtime variables

A separate, mutable namespace written by the Variable connector while a run is in progress — not the same as the workflow-level variables above:

text
{{runtimeVariables.myVariable}}

Notes

  • If an expression can't be resolved (a typo in a step name, a field that doesn't exist), it resolves to an empty string rather than failing the workflow — check your execution history if a value comes through blank.
  • Object values are automatically JSON-stringified when interpolated into a string field.

Execution Settings

Fire-and-forget

When enabled, the workflow doesn't wait for this step to complete before moving to the next one. Use it for steps whose result nothing downstream depends on — logging, analytics, notifications — so they don't add latency to the steps that matter.

Continue on error

When enabled, a failure in this step doesn't stop the workflow — execution continues to the next step. The failure is still recorded in the execution history; this just controls whether it's fatal.

Combine the two for steps that are genuinely optional to the outcome: fire-and-forget so they don't add latency, continue-on-error so a failure in them (e.g. an analytics endpoint being briefly down) doesn't take down an otherwise-successful workflow run.

Caching

What it does

When enabled, a step's result is cached for a configurable TTL (time-to-live, in seconds). If the step runs again with the same effective cache key before the TTL expires, the cached result is returned instead of re-running the step.

Configuring it

  • Enabled — turn caching on or off for this step.
  • TTL — how long (in seconds) a cached result stays valid.
  • Cache key template — an expression (supporting the same {{...}} step reference syntax used elsewhere) that determines what counts as "the same call". By default this is based on the step's resolved input; a custom template lets you cache more narrowly or broadly than that.

When to use it

Good candidates are steps that call something slow or rate-limited but return the same answer for the same input within a short window — a lookup against a rarely-changing external system, for example. Skip it for steps whose result must always be fresh (anything involving live inventory, pricing, or payment state).

Locking

What it does

When enabled, only one execution of this step (for a given lock key) can run at a time. If a second execution tries to run the same step while a lock is held, it waits until the lock is released or the hold period elapses.

Configuring it

  • Enabled — turn locking on or off for this step.
  • Lock key — an expression (supporting the same {{...}} step reference syntax used elsewhere) that determines what counts as "the same resource". By default the lock is scoped to the step itself; a custom key lets you lock per-customer, per-order, or any other identifier that needs serialized access.
  • Period — how long (in seconds) the lock is held before it's automatically released, in case an execution doesn't complete normally.

When to use it

Use it whenever concurrent executions could race on the same resource — e.g. two workflow runs both trying to update the same order's status at once. A lock key scoped to the order id ensures only one of them proceeds at a time.

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Last updated 15 October 2026