Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.
For example, you can create a workflow that runs multiple BigQuery query jobs in parallel.
Arguments
Parameters | |
---|---|
projectId |
Required. Project ID of the project billed for the query |
body |
Required. |
Raised exceptions
Exceptions | |
---|---|
ConnectionError |
In case of a network problem (such as DNS failure or refused connection). |
HttpError |
If the response status is >= 400 (excluding 429 and 503). |
TimeoutError |
If a long-running operation takes longer to finish than the specified timeout limit. |
TypeError |
If an operation or function receives an argument of the wrong type. |
ValueError |
If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout. |
Response
If successful, the response contains an instance of QueryResponse
.
Subworkflow snippet
Some fields might be optional or required. To identify required fields, refer to the API documentation.
YAML
- query: call: googleapis.bigquery.v2.jobs.query args: projectId: ... body: connectionProperties: ... createSession: ... defaultDataset: datasetId: ... projectId: ... dryRun: ... kind: ... labels: ... location: ... maxResults: ... maximumBytesBilled: ... parameterMode: ... preserveNulls: ... query: ... queryParameters: ... requestId: ... timeoutMs: ... useLegacySql: ... useQueryCache: ... result: queryResult
JSON
[ { "query": { "call": "googleapis.bigquery.v2.jobs.query", "args": { "projectId": "...", "body": { "connectionProperties": "...", "createSession": "...", "defaultDataset": { "datasetId": "...", "projectId": "..." }, "dryRun": "...", "kind": "...", "labels": "...", "location": "...", "maxResults": "...", "maximumBytesBilled": "...", "parameterMode": "...", "preserveNulls": "...", "query": "...", "queryParameters": "...", "requestId": "...", "timeoutMs": "...", "useLegacySql": "...", "useQueryCache": "..." } }, "result": "queryResult" } } ]