curl --request POST \
  --url https://engine.example.com/api/v1/notebooks \
  --header 'Content-Type: application/json' \
  --data '
{
  "document": "<unknown>",
  "name": "<string>",
  "submission_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "settings": {
    "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
    },
    "query": {
      "ansi_enabled": true,
      "case_sensitive": true,
      "current_catalog": "<string>",
      "namespace": [
        "<string>"
      ],
      "time_zone": "<string>"
    }
  }
}
'

import requests

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

payload = {
    "document": "<unknown>",
    "name": "<string>",
    "submission_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "settings": {
        "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
        },
        "query": {
            "ansi_enabled": True,
            "case_sensitive": True,
            "current_catalog": "<string>",
            "namespace": ["<string>"],
            "time_zone": "<string>"
        }
    }
}
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({
    document: '<unknown>',
    name: '<string>',
    submission_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    settings: {
      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
      },
      query: {
        ansi_enabled: true,
        case_sensitive: true,
        current_catalog: '<string>',
        namespace: ['<string>'],
        time_zone: '<string>'
      }
    }
  })
};

fetch('https://engine.example.com/api/v1/notebooks', 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/notebooks",
  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([
    'document' => '<unknown>',
    'name' => '<string>',
    'submission_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'settings' => [
        '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
        ],
        'query' => [
                'ansi_enabled' => true,
                'case_sensitive' => true,
                'current_catalog' => '<string>',
                'namespace' => [
                                '<string>'
                ],
                'time_zone' => '<string>'
        ]
    ]
  ]),
  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/notebooks"

	payload := strings.NewReader("{\n  \"document\": \"<unknown>\",\n  \"name\": \"<string>\",\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"settings\": {\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    \"query\": {\n      \"ansi_enabled\": true,\n      \"case_sensitive\": true,\n      \"current_catalog\": \"<string>\",\n      \"namespace\": [\n        \"<string>\"\n      ],\n      \"time_zone\": \"<string>\"\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/notebooks")
  .header("Content-Type", "application/json")
  .body("{\n  \"document\": \"<unknown>\",\n  \"name\": \"<string>\",\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"settings\": {\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    \"query\": {\n      \"ansi_enabled\": true,\n      \"case_sensitive\": true,\n      \"current_catalog\": \"<string>\",\n      \"namespace\": [\n        \"<string>\"\n      ],\n      \"time_zone\": \"<string>\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"document\": \"<unknown>\",\n  \"name\": \"<string>\",\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"settings\": {\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    \"query\": {\n      \"ansi_enabled\": true,\n      \"case_sensitive\": true,\n      \"current_catalog\": \"<string>\",\n      \"namespace\": [\n        \"<string>\"\n      ],\n      \"time_zone\": \"<string>\"\n    }\n  }\n}"

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

{
  "notebook": {
    "created_at": {
      "unix_millis": 123
    },
    "document": "<unknown>",
    "name": "<string>",
    "notebook_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "revision": 1,
    "settings": {
      "options": {
        "compute_requirements": {
          "cpu_millicores": 2,
          "memory_bytes": 2,
          "tuning": {
            "batch_rows": 2,
            "file_read_concurrency": 2,
            "input_prefetch_batches": 1,
            "output_buffer_batches": 2,
            "query_memory_bytes": 2,
            "spill_bytes": 1,
            "threads": 2,
            "write_batch_rows": 2,
            "write_parallelism": 2,
            "native_parquet_scan": true
          }
        },
        "execution_target": "DataFusion",
        "execution_timeout": {
          "nanos": 499999999,
          "secs": 1
        },
        "max_attempts": 2,
        "missed_run_policy": "RunOnce",
        "overlap_policy": "Wait",
        "parallelism": 2,
        "queue_timeout": {
          "nanos": 499999999,
          "secs": 1
        },
        "worker_scope": "Task",
        "deployment_profile": "<string>",
        "profile": "<string>",
        "provisioner": "<string>",
        "start_paused": true,
        "xray": true
      },
      "query": {
        "ansi_enabled": true,
        "case_sensitive": true,
        "current_catalog": "<string>",
        "namespace": [
          "<string>"
        ],
        "time_zone": "<string>"
      }
    },
    "updated_at": {
      "unix_millis": 123
    }
  }
}

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