This endpoint retrieves all details associated with a specific job ID from the jobs table.
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Unique identifier for a job.
OK
Unique identifier for the job.
{
"type": "api_user",
"company_id": 1,
"user_id": 1248
}failed, cancelled, completed, pending, running The type associated with the job. Jobs can have a type of nql-forecast or materialize-view.
{
"nql": "CREATE MATERIALIZED VIEW \"sampleNQL\" as WITH OrderedData AS (\n SELECT\n \"mobile_id_unique_identifier\".\"value\" AS mobile_id,\n \"timestamp_object\".\"day\",\n \"timestamp_object\".\"hour\",\n \"geographic_location\".\"latitude\",\n \"geographic_location\".\"longitude\",\n \"event_timestamp\",\n LAG(\"event_timestamp\", 1) OVER (PARTITION BY \"mobile_id_unique_identifier\".\"value\", \"geographic_location\".\"latitude\", \"geographic_location\".\"longitude\" ORDER BY \"event_timestamp\") AS prev_timestamp\n FROM\n \"company_data\".\"6402\"\n WHERE\n \"mobile_id_unique_identifier\".\"value\" IS NOT NULL \n), \nContinuousPresence AS (\n SELECT\n mobile_id,\n \"day\",\n \"hour\",\n latitude,\n longitude,\n event_timestamp,\n prev_timestamp,\n CASE\n WHEN extract(minute FROM event_timestamp) - extract(minute FROM prev_timestamp) BETWEEN 40 AND 120 THEN 1\n ELSE 0\n END AS is_continuous\n FROM\n OrderedData\n)\nSELECT\n mobile_id,\n \"day\",\n \"hour\",\n latitude,\n longitude\nFROM\n ContinuousPresence\nWHERE\n is_continuous = 1\nGROUP BY\n mobile_id,\n \"day\",\n \"hour\",\n latitude,\n longitude\n",
"dataset_id": 6404,
"stats_enabled": true,
"compiled_sql": "SELECT\n `t`.`mobile_id`,\n `t`.`day`,\n `t`.`hour`,\n `t`.`latitude`,\n `t`.`longitude`\nFROM\n (SELECT\n `ds_6402`.`mobile_id_unique_identifier`['value'] `mobile_id`,\n `ds_6402`.`timestamp_object`['day'] `day`,\n `ds_6402`.`timestamp_object`['hour'] `hour`,\n `ds_6402`.`geographic_location`['latitude'] `latitude`,\n `ds_6402`.`geographic_location`['longitude'] `longitude`,\n CASE\n WHEN EXTRACT(MINUTE FROM `ds_6402`.`event_timestamp`) - EXTRACT(MINUTE FROM LAG(`ds_6402`.`event_timestamp`, 1) OVER (\n PARTITION BY `ds_6402`.`mobile_id_unique_identifier`.`value`, `ds_6402`.`geographic_location`.`latitude`, `ds_6402`.`geographic_location`.`longitude`\n ORDER BY `ds_6402`.`event_timestamp` NULLS LAST)) >= 40 AND EXTRACT(MINUTE FROM `ds_6402`.`event_timestamp`) - EXTRACT(MINUTE FROM LAG(`ds_6402`.`event_timestamp`, 1) OVER (\n PARTITION BY `ds_6402`.`mobile_id_unique_identifier`.`value`, `ds_6402`.`geographic_location`.`latitude`, `ds_6402`.`geographic_location`.`longitude`\n ORDER BY `ds_6402`.`event_timestamp` NULLS LAST)) <= 120\n THEN 1\n ELSE 0\n END `is_continuous`\n FROM\n narrative.datasets.ds_6402 `ds_6402`) `t`\nWHERE\n `t`.`is_continuous` = 1\nGROUP BY\n `t`.`mobile_id`,\n `t`.`day`,\n `t`.`hour`,\n `t`.`latitude`,\n `t`.`longitude`"
}The internal job executor tied to the job.
causes of job failure
The unique ID associated with the job.
The output of a materialized view.
{
"dataset_id": 6404,
"snapshot_id": 739881302291276700,
"recalculation_id": "abf9a2ec-426b-4751-bd16-fcb435061925"
}The timestamp representing when the job was created.
The timestamp representing when the job was updated.
The timestamp representing when the job finished.
The type of the execution cluster to run the job on.
dedicated runs job on a dedicated cluster.shared runs job on a shared cluster.dedicated, shared