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BigQuery
Google BigQuery is a serverless data warehouse — run SQL queries and manage datasets and tables for analytics workflows.
Browse 26 BigQuery actions datasets · jobs · projects · tabledata · tablesOn this page
Connecting BigQuery
Every action needs a connection (connection type google).
Requests go to https://bigquery.googleapis.com/bigquery/v2.
What's covered
26 actions in 5 groups, one per operation of the BigQuery API.
tables (9), jobs (7), datasets (6), projects (2), tabledata (2).
Every action, with its parameters and response fields, is listed in the action reference.
Your first call
- Add a step and choose the BigQuery connector, then your connection.
- Pick the Bigquery.projects.list action (
GET /projects). - No required fields, so it can run as is.
- Run it and read the result in later steps with
{{bigqueryProjectsList.response.data.etag}}.
The response includes etag, kind, nextPageToken, projects, totalItems.
Request fields
Each action's fields follow the API: path parameters go into the URL, query parameters into the query string, and header parameters are sent as headers. Actions that send a request body take it as a single JSON Body field. Use Show default in the step to start from a skeleton, and see the action's page in the reference for every body field.
Reading the response
Every action's result is at {{<stepReference>.response...}} (see Step Reference): response.status, response.statusText, response.headers and the parsed body at response.data.
List actions page with maxResults, pageToken, startIndex. Check an action's query parameters in the reference for exactly what it accepts, and loop until the API stops returning results.
If BigQuery answers with an error status (4xx or 5xx), the step fails and the status and error body are included in the step's error details in the execution log. Turn on Continue On Error in the step's execution settings to handle the failure in a later step.
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}}:
{{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:
{{steps[0].response.data.id}}
Referencing trigger data
{{trigger.headers.authorization}}
{{trigger.body.customerId}}
{{trigger.query.page}}
{{trigger.params.orderId}}
{{trigger.method}}
{{trigger.path}}
Referencing workflow variables
{{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:
{{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.
Last updated 9 October 2026