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Pipeline object { "blocks" : [ { "all_upstream_blocks_executed" : true , "color" : null , "configuration" : {}, "downstream_blocks" : [], "executor_config" : null , "executor_type" : "local_python" , "has_callback" : null , "name" : "load_titanic" , "language" : "python" , "status" : "executed" , "type" : "data_loader" , "upstream_blocks" : [], "uuid" : "load_titanic" , "content" : "..." , "metadata" : {} } ], "description" : null , "extensions" : {}, "name" : "example_pipeline" , "schedules" : [ { "created_at" : "2023-03-14T23:24:17.814478+00:00" , "id" : 59 , "name" : "dry haze" , "pipeline_uuid" : "aged_night" , "schedule_interval" : null , "schedule_type" : "api" , "start_time" : "2023-03-14T23:25:00+00:00" , "status" : "inactive" , "updated_at" : "2023-03-14T23:25:27.351528+00:00" } ], "type" : "python" , "uuid" : "example_pipeline" , "variables" : { "env" : "prod" }, "widgets" : [] }
Array of block objects. See the blocks section for more details. Description for the pipeline.
Array of extension block objects. Same shape as blocks.
Human friendly name of the pipeline.
Array of trigger objects. Date and time the trigger was created.
Pipeline UUID the trigger belongs to.
@once, @hourly, @daily, @weekly, @monthly
Trigger type: api, event, time
Date and time when the trigger should start running.
Date and time the trigger was last updated.
The type of the pipeline:
integration, pyspark, python, streaming
Note that python is a standard (batch) pipeline with a python backend, while pyspark is a batch pipeline with a spark backend.
Unique identifier for the pipeline.
Object containing variables for the pipeline. The property name is user defined.
Array of widget block objects. Same shape as blocks.
