curl --request POST \
  --url https://engine.example.com/api/v1/workloads \
  --header 'Content-Type: application/json' \
  --data '
{
  "policy": "Manual",
  "submission_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "tasks": [
    {
      "name": "<string>",
      "settings": {
        "ansi_enabled": true,
        "case_sensitive": true,
        "current_catalog": "<string>",
        "namespace": [
          "<string>"
        ],
        "time_zone": "<string>"
      },
      "compute_requirements": {
        "cpu_millicores": 2,
        "memory_bytes": 2,
        "tuning": {
          "batch_rows": 2,
          "file_read_concurrency": 2,
          "input_prefetch_batches": 1,
          "native_parquet_scan": true,
          "output_buffer_batches": 2,
          "query_memory_bytes": 2,
          "spill_bytes": 1,
          "threads": 2,
          "write_batch_rows": 2,
          "write_parallelism": 2
        }
      },
      "deployment_profile": "<string>",
      "profile": "<string>",
      "provisioner": "<string>",
      "worker_scope": "Task",
      "xray": true,
      "control": {
        "retry": {
          "max_attempts": 1,
          "backoff": "fixed",
          "initial_delay_seconds": 1,
          "jitter_percent": 1,
          "max_delay_seconds": 1,
          "python_replay_safe": true
        },
        "sensor": {
          "condition": {
            "kind": "object_exists",
            "url": "<string>"
          },
          "timeout_seconds": 1,
          "poll_interval_seconds": 1
        }
      },
      "incremental_source": {
        "branch": "<string>",
        "table": {
          "catalog_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "name": "<string>",
          "namespace": [
            "<string>"
          ]
        }
      },
      "python": "<string>",
      "python_mode": "Batch",
      "spark_plan": "<string>",
      "sql": "<string>"
    }
  ],
  "dependencies": [
    {
      "downstream": "<string>",
      "upstream": "<string>",
      "input_name": "<string>"
    }
  ],
  "name": "<string>",
  "options": {
    "compute_requirements": {
      "cpu_millicores": 2,
      "memory_bytes": 2,
      "tuning": {
        "batch_rows": 2,
        "file_read_concurrency": 2,
        "input_prefetch_batches": 1,
        "native_parquet_scan": true,
        "output_buffer_batches": 2,
        "query_memory_bytes": 2,
        "spill_bytes": 1,
        "threads": 2,
        "write_batch_rows": 2,
        "write_parallelism": 2
      }
    },
    "deployment_profile": "<string>",
    "execution_target": "DataFusion",
    "execution_timeout": {
      "nanos": 499999999,
      "secs": 1
    },
    "max_attempts": 2,
    "missed_run_policy": "RunOnce",
    "overlap_policy": "Wait",
    "parallelism": 2,
    "profile": "<string>",
    "provisioner": "<string>",
    "queue_timeout": {
      "nanos": 499999999,
      "secs": 1
    },
    "start_paused": true,
    "worker_scope": "Task",
    "xray": true
  },
  "parameters": {},
  "workflow": {
    "data_windows": true,
    "notifications": [
      {
        "channel": {
          "kind": "webhook",
          "url": "<string>",
          "secret": "<string>"
        },
        "events": [
          "run_started"
        ],
        "name": "<string>",
        "max_attempts": 1
      }
    ]
  }
}
'

import requests

url = "https://engine.example.com/api/v1/workloads"

payload = {
    "policy": "Manual",
    "submission_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "tasks": [
        {
            "name": "<string>",
            "settings": {
                "ansi_enabled": True,
                "case_sensitive": True,
                "current_catalog": "<string>",
                "namespace": ["<string>"],
                "time_zone": "<string>"
            },
            "compute_requirements": {
                "cpu_millicores": 2,
                "memory_bytes": 2,
                "tuning": {
                    "batch_rows": 2,
                    "file_read_concurrency": 2,
                    "input_prefetch_batches": 1,
                    "native_parquet_scan": True,
                    "output_buffer_batches": 2,
                    "query_memory_bytes": 2,
                    "spill_bytes": 1,
                    "threads": 2,
                    "write_batch_rows": 2,
                    "write_parallelism": 2
                }
            },
            "deployment_profile": "<string>",
            "profile": "<string>",
            "provisioner": "<string>",
            "worker_scope": "Task",
            "xray": True,
            "control": {
                "retry": {
                    "max_attempts": 1,
                    "backoff": "fixed",
                    "initial_delay_seconds": 1,
                    "jitter_percent": 1,
                    "max_delay_seconds": 1,
                    "python_replay_safe": True
                },
                "sensor": {
                    "condition": {
                        "kind": "object_exists",
                        "url": "<string>"
                    },
                    "timeout_seconds": 1,
                    "poll_interval_seconds": 1
                }
            },
            "incremental_source": {
                "branch": "<string>",
                "table": {
                    "catalog_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
                    "name": "<string>",
                    "namespace": ["<string>"]
                }
            },
            "python": "<string>",
            "python_mode": "Batch",
            "spark_plan": "<string>",
            "sql": "<string>"
        }
    ],
    "dependencies": [
        {
            "downstream": "<string>",
            "upstream": "<string>",
            "input_name": "<string>"
        }
    ],
    "name": "<string>",
    "options": {
        "compute_requirements": {
            "cpu_millicores": 2,
            "memory_bytes": 2,
            "tuning": {
                "batch_rows": 2,
                "file_read_concurrency": 2,
                "input_prefetch_batches": 1,
                "native_parquet_scan": True,
                "output_buffer_batches": 2,
                "query_memory_bytes": 2,
                "spill_bytes": 1,
                "threads": 2,
                "write_batch_rows": 2,
                "write_parallelism": 2
            }
        },
        "deployment_profile": "<string>",
        "execution_target": "DataFusion",
        "execution_timeout": {
            "nanos": 499999999,
            "secs": 1
        },
        "max_attempts": 2,
        "missed_run_policy": "RunOnce",
        "overlap_policy": "Wait",
        "parallelism": 2,
        "profile": "<string>",
        "provisioner": "<string>",
        "queue_timeout": {
            "nanos": 499999999,
            "secs": 1
        },
        "start_paused": True,
        "worker_scope": "Task",
        "xray": True
    },
    "parameters": {},
    "workflow": {
        "data_windows": True,
        "notifications": [
            {
                "channel": {
                    "kind": "webhook",
                    "url": "<string>",
                    "secret": "<string>"
                },
                "events": ["run_started"],
                "name": "<string>",
                "max_attempts": 1
            }
        ]
    }
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    policy: 'Manual',
    submission_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    tasks: [
      {
        name: '<string>',
        settings: {
          ansi_enabled: true,
          case_sensitive: true,
          current_catalog: '<string>',
          namespace: ['<string>'],
          time_zone: '<string>'
        },
        compute_requirements: {
          cpu_millicores: 2,
          memory_bytes: 2,
          tuning: {
            batch_rows: 2,
            file_read_concurrency: 2,
            input_prefetch_batches: 1,
            native_parquet_scan: true,
            output_buffer_batches: 2,
            query_memory_bytes: 2,
            spill_bytes: 1,
            threads: 2,
            write_batch_rows: 2,
            write_parallelism: 2
          }
        },
        deployment_profile: '<string>',
        profile: '<string>',
        provisioner: '<string>',
        worker_scope: 'Task',
        xray: true,
        control: {
          retry: {
            max_attempts: 1,
            backoff: 'fixed',
            initial_delay_seconds: 1,
            jitter_percent: 1,
            max_delay_seconds: 1,
            python_replay_safe: true
          },
          sensor: {
            condition: {kind: 'object_exists', url: '<string>'},
            timeout_seconds: 1,
            poll_interval_seconds: 1
          }
        },
        incremental_source: {
          branch: '<string>',
          table: {
            catalog_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
            name: '<string>',
            namespace: ['<string>']
          }
        },
        python: '<string>',
        python_mode: 'Batch',
        spark_plan: '<string>',
        sql: '<string>'
      }
    ],
    dependencies: [{downstream: '<string>', upstream: '<string>', input_name: '<string>'}],
    name: '<string>',
    options: {
      compute_requirements: {
        cpu_millicores: 2,
        memory_bytes: 2,
        tuning: {
          batch_rows: 2,
          file_read_concurrency: 2,
          input_prefetch_batches: 1,
          native_parquet_scan: true,
          output_buffer_batches: 2,
          query_memory_bytes: 2,
          spill_bytes: 1,
          threads: 2,
          write_batch_rows: 2,
          write_parallelism: 2
        }
      },
      deployment_profile: '<string>',
      execution_target: 'DataFusion',
      execution_timeout: {nanos: 499999999, secs: 1},
      max_attempts: 2,
      missed_run_policy: 'RunOnce',
      overlap_policy: 'Wait',
      parallelism: 2,
      profile: '<string>',
      provisioner: '<string>',
      queue_timeout: {nanos: 499999999, secs: 1},
      start_paused: true,
      worker_scope: 'Task',
      xray: true
    },
    parameters: {},
    workflow: {
      data_windows: true,
      notifications: [
        {
          channel: {kind: 'webhook', url: '<string>', secret: '<string>'},
          events: ['run_started'],
          name: '<string>',
          max_attempts: 1
        }
      ]
    }
  })
};

fetch('https://engine.example.com/api/v1/workloads', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://engine.example.com/api/v1/workloads",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'policy' => 'Manual',
    'submission_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'tasks' => [
        [
                'name' => '<string>',
                'settings' => [
                                'ansi_enabled' => true,
                                'case_sensitive' => true,
                                'current_catalog' => '<string>',
                                'namespace' => [
                                                                '<string>'
                                ],
                                'time_zone' => '<string>'
                ],
                'compute_requirements' => [
                                'cpu_millicores' => 2,
                                'memory_bytes' => 2,
                                'tuning' => [
                                                                'batch_rows' => 2,
                                                                'file_read_concurrency' => 2,
                                                                'input_prefetch_batches' => 1,
                                                                'native_parquet_scan' => true,
                                                                'output_buffer_batches' => 2,
                                                                'query_memory_bytes' => 2,
                                                                'spill_bytes' => 1,
                                                                'threads' => 2,
                                                                'write_batch_rows' => 2,
                                                                'write_parallelism' => 2
                                ]
                ],
                'deployment_profile' => '<string>',
                'profile' => '<string>',
                'provisioner' => '<string>',
                'worker_scope' => 'Task',
                'xray' => true,
                'control' => [
                                'retry' => [
                                                                'max_attempts' => 1,
                                                                'backoff' => 'fixed',
                                                                'initial_delay_seconds' => 1,
                                                                'jitter_percent' => 1,
                                                                'max_delay_seconds' => 1,
                                                                'python_replay_safe' => true
                                ],
                                'sensor' => [
                                                                'condition' => [
                                                                                                                                'kind' => 'object_exists',
                                                                                                                                'url' => '<string>'
                                                                ],
                                                                'timeout_seconds' => 1,
                                                                'poll_interval_seconds' => 1
                                ]
                ],
                'incremental_source' => [
                                'branch' => '<string>',
                                'table' => [
                                                                'catalog_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
                                                                'name' => '<string>',
                                                                'namespace' => [
                                                                                                                                '<string>'
                                                                ]
                                ]
                ],
                'python' => '<string>',
                'python_mode' => 'Batch',
                'spark_plan' => '<string>',
                'sql' => '<string>'
        ]
    ],
    'dependencies' => [
        [
                'downstream' => '<string>',
                'upstream' => '<string>',
                'input_name' => '<string>'
        ]
    ],
    'name' => '<string>',
    'options' => [
        'compute_requirements' => [
                'cpu_millicores' => 2,
                'memory_bytes' => 2,
                'tuning' => [
                                'batch_rows' => 2,
                                'file_read_concurrency' => 2,
                                'input_prefetch_batches' => 1,
                                'native_parquet_scan' => true,
                                'output_buffer_batches' => 2,
                                'query_memory_bytes' => 2,
                                'spill_bytes' => 1,
                                'threads' => 2,
                                'write_batch_rows' => 2,
                                'write_parallelism' => 2
                ]
        ],
        'deployment_profile' => '<string>',
        'execution_target' => 'DataFusion',
        'execution_timeout' => [
                'nanos' => 499999999,
                'secs' => 1
        ],
        'max_attempts' => 2,
        'missed_run_policy' => 'RunOnce',
        'overlap_policy' => 'Wait',
        'parallelism' => 2,
        'profile' => '<string>',
        'provisioner' => '<string>',
        'queue_timeout' => [
                'nanos' => 499999999,
                'secs' => 1
        ],
        'start_paused' => true,
        'worker_scope' => 'Task',
        'xray' => true
    ],
    'parameters' => [
        
    ],
    'workflow' => [
        'data_windows' => true,
        'notifications' => [
                [
                                'channel' => [
                                                                'kind' => 'webhook',
                                                                'url' => '<string>',
                                                                'secret' => '<string>'
                                ],
                                'events' => [
                                                                'run_started'
                                ],
                                'name' => '<string>',
                                'max_attempts' => 1
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://engine.example.com/api/v1/workloads"

	payload := strings.NewReader("{\n  \"policy\": \"Manual\",\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"tasks\": [\n    {\n      \"name\": \"<string>\",\n      \"settings\": {\n        \"ansi_enabled\": true,\n        \"case_sensitive\": true,\n        \"current_catalog\": \"<string>\",\n        \"namespace\": [\n          \"<string>\"\n        ],\n        \"time_zone\": \"<string>\"\n      },\n      \"compute_requirements\": {\n        \"cpu_millicores\": 2,\n        \"memory_bytes\": 2,\n        \"tuning\": {\n          \"batch_rows\": 2,\n          \"file_read_concurrency\": 2,\n          \"input_prefetch_batches\": 1,\n          \"native_parquet_scan\": true,\n          \"output_buffer_batches\": 2,\n          \"query_memory_bytes\": 2,\n          \"spill_bytes\": 1,\n          \"threads\": 2,\n          \"write_batch_rows\": 2,\n          \"write_parallelism\": 2\n        }\n      },\n      \"deployment_profile\": \"<string>\",\n      \"profile\": \"<string>\",\n      \"provisioner\": \"<string>\",\n      \"worker_scope\": \"Task\",\n      \"xray\": true,\n      \"control\": {\n        \"retry\": {\n          \"max_attempts\": 1,\n          \"backoff\": \"fixed\",\n          \"initial_delay_seconds\": 1,\n          \"jitter_percent\": 1,\n          \"max_delay_seconds\": 1,\n          \"python_replay_safe\": true\n        },\n        \"sensor\": {\n          \"condition\": {\n            \"kind\": \"object_exists\",\n            \"url\": \"<string>\"\n          },\n          \"timeout_seconds\": 1,\n          \"poll_interval_seconds\": 1\n        }\n      },\n      \"incremental_source\": {\n        \"branch\": \"<string>\",\n        \"table\": {\n          \"catalog_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n          \"name\": \"<string>\",\n          \"namespace\": [\n            \"<string>\"\n          ]\n        }\n      },\n      \"python\": \"<string>\",\n      \"python_mode\": \"Batch\",\n      \"spark_plan\": \"<string>\",\n      \"sql\": \"<string>\"\n    }\n  ],\n  \"dependencies\": [\n    {\n      \"downstream\": \"<string>\",\n      \"upstream\": \"<string>\",\n      \"input_name\": \"<string>\"\n    }\n  ],\n  \"name\": \"<string>\",\n  \"options\": {\n    \"compute_requirements\": {\n      \"cpu_millicores\": 2,\n      \"memory_bytes\": 2,\n      \"tuning\": {\n        \"batch_rows\": 2,\n        \"file_read_concurrency\": 2,\n        \"input_prefetch_batches\": 1,\n        \"native_parquet_scan\": true,\n        \"output_buffer_batches\": 2,\n        \"query_memory_bytes\": 2,\n        \"spill_bytes\": 1,\n        \"threads\": 2,\n        \"write_batch_rows\": 2,\n        \"write_parallelism\": 2\n      }\n    },\n    \"deployment_profile\": \"<string>\",\n    \"execution_target\": \"DataFusion\",\n    \"execution_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"max_attempts\": 2,\n    \"missed_run_policy\": \"RunOnce\",\n    \"overlap_policy\": \"Wait\",\n    \"parallelism\": 2,\n    \"profile\": \"<string>\",\n    \"provisioner\": \"<string>\",\n    \"queue_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"start_paused\": true,\n    \"worker_scope\": \"Task\",\n    \"xray\": true\n  },\n  \"parameters\": {},\n  \"workflow\": {\n    \"data_windows\": true,\n    \"notifications\": [\n      {\n        \"channel\": {\n          \"kind\": \"webhook\",\n          \"url\": \"<string>\",\n          \"secret\": \"<string>\"\n        },\n        \"events\": [\n          \"run_started\"\n        ],\n        \"name\": \"<string>\",\n        \"max_attempts\": 1\n      }\n    ]\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://engine.example.com/api/v1/workloads")
  .header("Content-Type", "application/json")
  .body("{\n  \"policy\": \"Manual\",\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"tasks\": [\n    {\n      \"name\": \"<string>\",\n      \"settings\": {\n        \"ansi_enabled\": true,\n        \"case_sensitive\": true,\n        \"current_catalog\": \"<string>\",\n        \"namespace\": [\n          \"<string>\"\n        ],\n        \"time_zone\": \"<string>\"\n      },\n      \"compute_requirements\": {\n        \"cpu_millicores\": 2,\n        \"memory_bytes\": 2,\n        \"tuning\": {\n          \"batch_rows\": 2,\n          \"file_read_concurrency\": 2,\n          \"input_prefetch_batches\": 1,\n          \"native_parquet_scan\": true,\n          \"output_buffer_batches\": 2,\n          \"query_memory_bytes\": 2,\n          \"spill_bytes\": 1,\n          \"threads\": 2,\n          \"write_batch_rows\": 2,\n          \"write_parallelism\": 2\n        }\n      },\n      \"deployment_profile\": \"<string>\",\n      \"profile\": \"<string>\",\n      \"provisioner\": \"<string>\",\n      \"worker_scope\": \"Task\",\n      \"xray\": true,\n      \"control\": {\n        \"retry\": {\n          \"max_attempts\": 1,\n          \"backoff\": \"fixed\",\n          \"initial_delay_seconds\": 1,\n          \"jitter_percent\": 1,\n          \"max_delay_seconds\": 1,\n          \"python_replay_safe\": true\n        },\n        \"sensor\": {\n          \"condition\": {\n            \"kind\": \"object_exists\",\n            \"url\": \"<string>\"\n          },\n          \"timeout_seconds\": 1,\n          \"poll_interval_seconds\": 1\n        }\n      },\n      \"incremental_source\": {\n        \"branch\": \"<string>\",\n        \"table\": {\n          \"catalog_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n          \"name\": \"<string>\",\n          \"namespace\": [\n            \"<string>\"\n          ]\n        }\n      },\n      \"python\": \"<string>\",\n      \"python_mode\": \"Batch\",\n      \"spark_plan\": \"<string>\",\n      \"sql\": \"<string>\"\n    }\n  ],\n  \"dependencies\": [\n    {\n      \"downstream\": \"<string>\",\n      \"upstream\": \"<string>\",\n      \"input_name\": \"<string>\"\n    }\n  ],\n  \"name\": \"<string>\",\n  \"options\": {\n    \"compute_requirements\": {\n      \"cpu_millicores\": 2,\n      \"memory_bytes\": 2,\n      \"tuning\": {\n        \"batch_rows\": 2,\n        \"file_read_concurrency\": 2,\n        \"input_prefetch_batches\": 1,\n        \"native_parquet_scan\": true,\n        \"output_buffer_batches\": 2,\n        \"query_memory_bytes\": 2,\n        \"spill_bytes\": 1,\n        \"threads\": 2,\n        \"write_batch_rows\": 2,\n        \"write_parallelism\": 2\n      }\n    },\n    \"deployment_profile\": \"<string>\",\n    \"execution_target\": \"DataFusion\",\n    \"execution_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"max_attempts\": 2,\n    \"missed_run_policy\": \"RunOnce\",\n    \"overlap_policy\": \"Wait\",\n    \"parallelism\": 2,\n    \"profile\": \"<string>\",\n    \"provisioner\": \"<string>\",\n    \"queue_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"start_paused\": true,\n    \"worker_scope\": \"Task\",\n    \"xray\": true\n  },\n  \"parameters\": {},\n  \"workflow\": {\n    \"data_windows\": true,\n    \"notifications\": [\n      {\n        \"channel\": {\n          \"kind\": \"webhook\",\n          \"url\": \"<string>\",\n          \"secret\": \"<string>\"\n        },\n        \"events\": [\n          \"run_started\"\n        ],\n        \"name\": \"<string>\",\n        \"max_attempts\": 1\n      }\n    ]\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://engine.example.com/api/v1/workloads")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"policy\": \"Manual\",\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"tasks\": [\n    {\n      \"name\": \"<string>\",\n      \"settings\": {\n        \"ansi_enabled\": true,\n        \"case_sensitive\": true,\n        \"current_catalog\": \"<string>\",\n        \"namespace\": [\n          \"<string>\"\n        ],\n        \"time_zone\": \"<string>\"\n      },\n      \"compute_requirements\": {\n        \"cpu_millicores\": 2,\n        \"memory_bytes\": 2,\n        \"tuning\": {\n          \"batch_rows\": 2,\n          \"file_read_concurrency\": 2,\n          \"input_prefetch_batches\": 1,\n          \"native_parquet_scan\": true,\n          \"output_buffer_batches\": 2,\n          \"query_memory_bytes\": 2,\n          \"spill_bytes\": 1,\n          \"threads\": 2,\n          \"write_batch_rows\": 2,\n          \"write_parallelism\": 2\n        }\n      },\n      \"deployment_profile\": \"<string>\",\n      \"profile\": \"<string>\",\n      \"provisioner\": \"<string>\",\n      \"worker_scope\": \"Task\",\n      \"xray\": true,\n      \"control\": {\n        \"retry\": {\n          \"max_attempts\": 1,\n          \"backoff\": \"fixed\",\n          \"initial_delay_seconds\": 1,\n          \"jitter_percent\": 1,\n          \"max_delay_seconds\": 1,\n          \"python_replay_safe\": true\n        },\n        \"sensor\": {\n          \"condition\": {\n            \"kind\": \"object_exists\",\n            \"url\": \"<string>\"\n          },\n          \"timeout_seconds\": 1,\n          \"poll_interval_seconds\": 1\n        }\n      },\n      \"incremental_source\": {\n        \"branch\": \"<string>\",\n        \"table\": {\n          \"catalog_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n          \"name\": \"<string>\",\n          \"namespace\": [\n            \"<string>\"\n          ]\n        }\n      },\n      \"python\": \"<string>\",\n      \"python_mode\": \"Batch\",\n      \"spark_plan\": \"<string>\",\n      \"sql\": \"<string>\"\n    }\n  ],\n  \"dependencies\": [\n    {\n      \"downstream\": \"<string>\",\n      \"upstream\": \"<string>\",\n      \"input_name\": \"<string>\"\n    }\n  ],\n  \"name\": \"<string>\",\n  \"options\": {\n    \"compute_requirements\": {\n      \"cpu_millicores\": 2,\n      \"memory_bytes\": 2,\n      \"tuning\": {\n        \"batch_rows\": 2,\n        \"file_read_concurrency\": 2,\n        \"input_prefetch_batches\": 1,\n        \"native_parquet_scan\": true,\n        \"output_buffer_batches\": 2,\n        \"query_memory_bytes\": 2,\n        \"spill_bytes\": 1,\n        \"threads\": 2,\n        \"write_batch_rows\": 2,\n        \"write_parallelism\": 2\n      }\n    },\n    \"deployment_profile\": \"<string>\",\n    \"execution_target\": \"DataFusion\",\n    \"execution_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"max_attempts\": 2,\n    \"missed_run_policy\": \"RunOnce\",\n    \"overlap_policy\": \"Wait\",\n    \"parallelism\": 2,\n    \"profile\": \"<string>\",\n    \"provisioner\": \"<string>\",\n    \"queue_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"start_paused\": true,\n    \"worker_scope\": \"Task\",\n    \"xray\": true\n  },\n  \"parameters\": {},\n  \"workflow\": {\n    \"data_windows\": true,\n    \"notifications\": [\n      {\n        \"channel\": {\n          \"kind\": \"webhook\",\n          \"url\": \"<string>\",\n          \"secret\": \"<string>\"\n        },\n        \"events\": [\n          \"run_started\"\n        ],\n        \"name\": \"<string>\",\n        \"max_attempts\": 1\n      }\n    ]\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "submission_id": "11111111-1111-4111-8111-111111111111",
  "workload_id": "22222222-2222-4222-8222-222222222222"
}

{
  "error": {
    "code": "invalid_request",
    "message": "Check the request fields"
  }
}