curl --request POST \
  --url https://engine.example.com/api/v1/dashboards/preview \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset": {
    "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>",
    "settings": {
      "ansi_enabled": true,
      "case_sensitive": true,
      "current_catalog": "<string>",
      "namespace": [
        "<string>"
      ],
      "time_zone": "<string>"
    },
    "sql": "<string>",
    "source_query_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  },
  "scheduled_at_unix_millis": 123,
  "submission_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "options": {
    "compute_requirements": {
      "cpu_millicores": 2,
      "memory_bytes": 2,
      "tuning": {
        "batch_rows": 524288,
        "buffer_bytes": 2,
        "file_read_concurrency": 16,
        "input_prefetch_batches": 16,
        "output_buffer_batches": 16,
        "query_memory_bytes": 2,
        "spill_bytes": 1,
        "threads": 2,
        "write_batch_rows": 524288,
        "write_parallelism": 2
      }
    },
    "deployment_profile": "<string>",
    "execution_timeout": {
      "nanos": 499999999,
      "secs": 1
    },
    "max_attempts": 2,
    "parallelism": 2147483648,
    "profile": "<string>",
    "provisioner": "<string>",
    "queue_timeout": {
      "nanos": 499999999,
      "secs": 1
    },
    "xray": true
  },
  "parameter_definitions": {},
  "parameters": {}
}
'

import requests

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

payload = {
    "dataset": {
        "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "name": "<string>",
        "settings": {
            "ansi_enabled": True,
            "case_sensitive": True,
            "current_catalog": "<string>",
            "namespace": ["<string>"],
            "time_zone": "<string>"
        },
        "sql": "<string>",
        "source_query_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
    },
    "scheduled_at_unix_millis": 123,
    "submission_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "options": {
        "compute_requirements": {
            "cpu_millicores": 2,
            "memory_bytes": 2,
            "tuning": {
                "batch_rows": 524288,
                "buffer_bytes": 2,
                "file_read_concurrency": 16,
                "input_prefetch_batches": 16,
                "output_buffer_batches": 16,
                "query_memory_bytes": 2,
                "spill_bytes": 1,
                "threads": 2,
                "write_batch_rows": 524288,
                "write_parallelism": 2
            }
        },
        "deployment_profile": "<string>",
        "execution_timeout": {
            "nanos": 499999999,
            "secs": 1
        },
        "max_attempts": 2,
        "parallelism": 2147483648,
        "profile": "<string>",
        "provisioner": "<string>",
        "queue_timeout": {
            "nanos": 499999999,
            "secs": 1
        },
        "xray": True
    },
    "parameter_definitions": {},
    "parameters": {}
}
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({
    dataset: {
      dataset_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
      name: '<string>',
      settings: {
        ansi_enabled: true,
        case_sensitive: true,
        current_catalog: '<string>',
        namespace: ['<string>'],
        time_zone: '<string>'
      },
      sql: '<string>',
      source_query_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a'
    },
    scheduled_at_unix_millis: 123,
    submission_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    options: {
      compute_requirements: {
        cpu_millicores: 2,
        memory_bytes: 2,
        tuning: {
          batch_rows: 524288,
          buffer_bytes: 2,
          file_read_concurrency: 16,
          input_prefetch_batches: 16,
          output_buffer_batches: 16,
          query_memory_bytes: 2,
          spill_bytes: 1,
          threads: 2,
          write_batch_rows: 524288,
          write_parallelism: 2
        }
      },
      deployment_profile: '<string>',
      execution_timeout: {nanos: 499999999, secs: 1},
      max_attempts: 2,
      parallelism: 2147483648,
      profile: '<string>',
      provisioner: '<string>',
      queue_timeout: {nanos: 499999999, secs: 1},
      xray: true
    },
    parameter_definitions: {},
    parameters: {}
  })
};

fetch('https://engine.example.com/api/v1/dashboards/preview', 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/dashboards/preview",
  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([
    'dataset' => [
        'dataset_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
        'name' => '<string>',
        'settings' => [
                'ansi_enabled' => true,
                'case_sensitive' => true,
                'current_catalog' => '<string>',
                'namespace' => [
                                '<string>'
                ],
                'time_zone' => '<string>'
        ],
        'sql' => '<string>',
        'source_query_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a'
    ],
    'scheduled_at_unix_millis' => 123,
    'submission_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'options' => [
        'compute_requirements' => [
                'cpu_millicores' => 2,
                'memory_bytes' => 2,
                'tuning' => [
                                'batch_rows' => 524288,
                                'buffer_bytes' => 2,
                                'file_read_concurrency' => 16,
                                'input_prefetch_batches' => 16,
                                'output_buffer_batches' => 16,
                                'query_memory_bytes' => 2,
                                'spill_bytes' => 1,
                                'threads' => 2,
                                'write_batch_rows' => 524288,
                                'write_parallelism' => 2
                ]
        ],
        'deployment_profile' => '<string>',
        'execution_timeout' => [
                'nanos' => 499999999,
                'secs' => 1
        ],
        'max_attempts' => 2,
        'parallelism' => 2147483648,
        'profile' => '<string>',
        'provisioner' => '<string>',
        'queue_timeout' => [
                'nanos' => 499999999,
                'secs' => 1
        ],
        'xray' => true
    ],
    'parameter_definitions' => [
        
    ],
    'parameters' => [
        
    ]
  ]),
  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/dashboards/preview"

	payload := strings.NewReader("{\n  \"dataset\": {\n    \"dataset_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\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    \"sql\": \"<string>\",\n    \"source_query_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  },\n  \"scheduled_at_unix_millis\": 123,\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"options\": {\n    \"compute_requirements\": {\n      \"cpu_millicores\": 2,\n      \"memory_bytes\": 2,\n      \"tuning\": {\n        \"batch_rows\": 524288,\n        \"buffer_bytes\": 2,\n        \"file_read_concurrency\": 16,\n        \"input_prefetch_batches\": 16,\n        \"output_buffer_batches\": 16,\n        \"query_memory_bytes\": 2,\n        \"spill_bytes\": 1,\n        \"threads\": 2,\n        \"write_batch_rows\": 524288,\n        \"write_parallelism\": 2\n      }\n    },\n    \"deployment_profile\": \"<string>\",\n    \"execution_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"max_attempts\": 2,\n    \"parallelism\": 2147483648,\n    \"profile\": \"<string>\",\n    \"provisioner\": \"<string>\",\n    \"queue_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"xray\": true\n  },\n  \"parameter_definitions\": {},\n  \"parameters\": {}\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/dashboards/preview")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset\": {\n    \"dataset_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\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    \"sql\": \"<string>\",\n    \"source_query_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  },\n  \"scheduled_at_unix_millis\": 123,\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"options\": {\n    \"compute_requirements\": {\n      \"cpu_millicores\": 2,\n      \"memory_bytes\": 2,\n      \"tuning\": {\n        \"batch_rows\": 524288,\n        \"buffer_bytes\": 2,\n        \"file_read_concurrency\": 16,\n        \"input_prefetch_batches\": 16,\n        \"output_buffer_batches\": 16,\n        \"query_memory_bytes\": 2,\n        \"spill_bytes\": 1,\n        \"threads\": 2,\n        \"write_batch_rows\": 524288,\n        \"write_parallelism\": 2\n      }\n    },\n    \"deployment_profile\": \"<string>\",\n    \"execution_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"max_attempts\": 2,\n    \"parallelism\": 2147483648,\n    \"profile\": \"<string>\",\n    \"provisioner\": \"<string>\",\n    \"queue_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"xray\": true\n  },\n  \"parameter_definitions\": {},\n  \"parameters\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"dataset\": {\n    \"dataset_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\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    \"sql\": \"<string>\",\n    \"source_query_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  },\n  \"scheduled_at_unix_millis\": 123,\n  \"submission_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"options\": {\n    \"compute_requirements\": {\n      \"cpu_millicores\": 2,\n      \"memory_bytes\": 2,\n      \"tuning\": {\n        \"batch_rows\": 524288,\n        \"buffer_bytes\": 2,\n        \"file_read_concurrency\": 16,\n        \"input_prefetch_batches\": 16,\n        \"output_buffer_batches\": 16,\n        \"query_memory_bytes\": 2,\n        \"spill_bytes\": 1,\n        \"threads\": 2,\n        \"write_batch_rows\": 524288,\n        \"write_parallelism\": 2\n      }\n    },\n    \"deployment_profile\": \"<string>\",\n    \"execution_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"max_attempts\": 2,\n    \"parallelism\": 2147483648,\n    \"profile\": \"<string>\",\n    \"provisioner\": \"<string>\",\n    \"queue_timeout\": {\n      \"nanos\": 499999999,\n      \"secs\": 1\n    },\n    \"xray\": true\n  },\n  \"parameter_definitions\": {},\n  \"parameters\": {}\n}"

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

{}

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