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Code","paragraphs":["\u003Cblockquote\u003E\n","\u003Cp\u003E🚀 \u003Cstrong\u003EBuild. Customize. Optimize.\u003C/strong\u003E Use natural language to deploy a complete route optimization solution in Snowflake - no code, no external APIs, just results.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/overview-map.png?v=fdbe6ac5\" alt=\"alt text\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBuild a complete route optimization platform in minutes using just natural language commands.\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThis solution builds an \u003Ca href=\"https://openrouteservice.org/\"\u003EOpen Route Service\u003C/a\u003E Native App directly in your Snowflake account using \u003Cstrong\u003ECortex Code\u003C/strong\u003E - Snowflake's AI-powered CLI. No complex setup, no external APIs, no data leaving Snowflake.\u003C/p\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n","\u003Cp\u003E🔧 \u003Cstrong\u003EOpenRouteService Native App\u003C/strong\u003E - A self-contained routing engine running in Snowpark Container Services with SQL-callable functions.\u003C/p\u003E\n","\u003Cp\u003E📍 \u003Cstrong\u003EFour Powerful Routing Functions:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDirections\u003C/strong\u003E - Calculate optimal routes between multiple waypoints\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOptimization\u003C/strong\u003E - Match delivery jobs to vehicles based on time windows, capacity, and skills\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E - Generate catchment polygons showing reachable areas within a given drive time\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime-Distance Matrix\u003C/strong\u003E - Calculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E📐 \u003Cstrong\u003EGeoFunctions\u003C/strong\u003E — Each routing function also has a \u003Ccode\u003E_GEO\u003C/code\u003E variant (e.g. \u003Ccode\u003EDIRECTIONS_GEO\u003C/code\u003E, \u003Ccode\u003EISOCHRONES_GEO\u003C/code\u003E, \u003Ccode\u003EOPTIMIZATION_GEO\u003C/code\u003E) that wraps the base function and returns the route/polygon geometry as a native Snowflake \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E column — ready for geospatial analysis with \u003Ccode\u003EST_LENGTH\u003C/code\u003E, \u003Ccode\u003EST_AREA\u003C/code\u003E, \u003Ccode\u003EST_WITHIN\u003C/code\u003E, and more.\u003C/p\u003E\n","\u003Cp\u003E🗺️ \u003Cstrong\u003EAny Location\u003C/strong\u003E - Customize to Paris, London, New York, or anywhere in the world with downloadable OpenStreetMap data.\u003C/p\u003E\n","\u003Cp\u003E🧪 \u003Cstrong\u003EFunction Tester\u003C/strong\u003E - An interactive Streamlit app to test the routing functions with sample addresses.\u003C/p\u003E\n","\u003Ch3\u003EWhy This Matters\u003C/h3\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ETraditional Approach\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EThis Solution\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EExternal API dependencies\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESelf-contained Native App\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EData leaves your environment\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEverything stays in Snowflake\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EComplex integration work\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy with natural language commands\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPay-per-call API limits\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUnlimited calls, you control compute\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHours of setup\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMinutes to deploy\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n","\u003Cp\u003E\u003Cstrong\u003EThis is what you will need\u003C/strong\u003E:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EACCOUNTADMIN\u003C/strong\u003E access to your Snowflake account\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview\"\u003ESnowpark Container Services Activated\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E This is enabled by default with the exception of Free Trials where you would need to contact your snowflake representative to activate it.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-external-access-integration\"\u003EExternal Access Integration Activated\u003C/a\u003E - Required to download map files from provider account\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECortex Code CLI\u003C/strong\u003E installed and configured\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EInstallation: See the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ECortex Code documentation\u003C/a\u003E for setup instructions\u003C/li\u003E\u003Cli\u003EAdd to your PATH: \u003Ccode\u003Eexport PATH="$HOME/.local/bin:$PATH"\u003C/code\u003E (add to \u003Ccode\u003E~/.zshrc\u003C/code\u003E or \u003Ccode\u003E~/.bashrc\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EVerify: \u003Ccode\u003Ecortex --version\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EContainer Runtime\u003C/strong\u003E - One of the following:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://podman.io/\"\u003EPodman\u003C/a\u003E (recommended): \u003Ccode\u003Ebrew install podman\u003C/code\u003E (macOS)\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.docker.com/products/docker-desktop/\"\u003EDocker Desktop\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://code.visualstudio.com/download\"\u003EVSCode\u003C/a\u003E recommended for running Cortex Code commands\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERoute Planning And Optimization Architecture\u003C/h3\u003E\n","\u003Cp\u003EThe architecture below shows the solution which uses a native app and container services to power sophisticated routing and optimisation functions.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/architecture-diagram.png?v=fdbe6ac5\" alt=\"alt text\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis is a self-contained service which is managed by you. There are no API calls outside of Snowflake and no API limitations. This solution uses a small high-memory pool (HIGHMEM_X64_S) which is capable of running unlimited service calls within \u003Cstrong\u003ESan Francisco\u003C/strong\u003E (the default map). If you wish to use a larger map such as Europe or the World, you can increase the size of the compute.\u003C/p\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EBuild a Snowflake Native App using \u003Cstrong\u003ECortex Code\u003C/strong\u003E AI-powered CLI with natural language commands\u003C/li\u003E\u003Cli\u003EUse \u003Cstrong\u003ESnowpark Container Services\u003C/strong\u003E to run OpenRouteService as a self-managed routing engine\u003C/li\u003E\u003Cli\u003EUnderstand \u003Cstrong\u003EGeospatial\u003C/strong\u003E data in Snowflake and how it integrates with routing functions\u003C/li\u003E\u003Cli\u003EWork with 4 routing functions deployed via the Native App:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDirections\u003C/strong\u003E - Simple and multi-waypoint routing based on road network and vehicle profile\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOptimization\u003C/strong\u003E - Route optimization matching demands with vehicle availability\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E - Catchment area analysis based on travel time\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime-Distance Matrix\u003C/strong\u003E - Calculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003ECall all routing functions directly via \u003Cstrong\u003ESQL\u003C/strong\u003E — including concrete query examples you can run immediately\u003C/li\u003E\u003Cli\u003ECustomize map regions and vehicle profiles for your specific use case\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EBuild the Routing Solution\u003C/h2\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/architecture-diagram.png?v=fdbe6ac5\" alt=\"Cortex Code Deployment\"\u003E\u003C/p\u003E\n","\u003Cp\u003EUse Cortex Code, Snowflake's AI-powered CLI, to deploy the Native App using natural language commands and automated skills.\u003C/p\u003E\n","\u003Ch3\u003ESetup Cortex Code\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EClone the repository\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Egit clone https://github.com/Snowflake-Labs/sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\ncd sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWithout Git\u003C/strong\u003E: Download the ZIP from the repository and extract it, then navigate to the folder in VS Code\u003C/p\u003E\n","\u003Cp\u003EAfter cloning, open the folder in VS Code. You should see the following structure in your Explorer:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/cloned-objects.png?v=fdbe6ac5\" alt=\"Cloned Repository Structure\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ELaunch Cortex Code CLI\u003C/strong\u003E in the VS Code terminal:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecortex\n\u003C/code\u003E\u003C/pre\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EConnect to Snowflake\u003C/strong\u003E - Cortex Code will prompt you to select or create a connection.  once a connection has ben created using one of the authentication methods, you will now be able to start cortex code in the terminal by using the \u003Cstrong\u003Ecortex\u003C/strong\u003E command which will give you a similar screen as below.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/co-co-logged-in.png?v=fdbe6ac5\" alt=\"Cortex Code Logged In\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EUnderstanding Cortex Code Skills\u003C/h3\u003E\n","\u003Cp\u003EBefore running any commands, it's helpful to understand what \u003Cstrong\u003Eskills\u003C/strong\u003E are and how they power this solution.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat are Skills?\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ESkills are structured specifications that instruct Cortex Code how to perform a procedure. Think of them as detailed recipes - they define the exact steps, parameters, and verification checks needed to accomplish a task. Each skill is a markdown file that describes:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EWhat the skill does\u003C/strong\u003E - A clear description of the outcome\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EStep-by-step instructions\u003C/strong\u003E - The exact sequence of actions to perform\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EStopping points\u003C/strong\u003E - Where to pause for user input or verification\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESuccess criteria\u003C/strong\u003E - How to verify the task completed correctly\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBenefits of Using Skills\u003C/strong\u003E\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EBenefit\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EConsistency\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESkills ensure the same steps are followed every time, reducing human error\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EReusability\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOnce created, skills can be shared and reused across projects and teams\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ETransparency\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EYou can read the skill file to understand exactly what will happen before running it\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ECustomizability\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESkills can be modified to fit your specific requirements\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EAI-Assisted Creation\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECortex Code can help you create new skills from natural language descriptions\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003E\u003Cstrong\u003EHow This Solution Uses Skills\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThis repository demonstrates how skills can manage the \u003Cstrong\u003Ecomplete lifecycle\u003C/strong\u003E of an end-to-end Snowflake analytical solution - from installation through customization to uninstallation. There are multiple pre-built skills in the \u003Ccode\u003E.cortex/skills/skill_name/SKILL.md\u003C/code\u003E:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESkills\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat They Do\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E📦 Build\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ebuild-routing-solution\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy Routing Solution based on Native App and container services\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003E⚙️ Customize\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecustomize-main\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoute customization requests (location and routing profiles)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E \u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E↳ \u003Ccode\u003Ecustomize-main/location\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EChange the geographic region (sub-skill, do not invoke separately)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E \u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E↳ \u003Ccode\u003Ecustomize-main/routing-profiles\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEnable/disable vehicle routing profiles (sub-skill, do not invoke separately)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E \u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E↳ \u003Ccode\u003Ecustomize-main/read-ors-configuration\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERead current ORS configuration (sub-skill, do not invoke separately)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003ETo run any skill, simply tell Cortex Code:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$<skill-name>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFor example:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$build-routing-solution\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ECortex Code reads the skill's markdown file and executes each step, asking for input when needed and verifying success before moving on.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E Want to see what a skill does before running it? Open the skill's \u003Ccode\u003E.md\u003C/code\u003E file in the \u003Ccode\u003E.cortex/skills/skill_name/\u003C/code\u003E folder to review the exact steps.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EVerify Prerequisites (Optional)\u003C/h3\u003E\n","\u003Cp\u003ERun the prerequisites check skill to ensure all dependencies are installed:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$prerequisites-build-routing-solution\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EBuild the Routing Solution\u003C/h3\u003E\n","\u003Cp\u003ESimply type the following command in Cortex Code:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$build-routing-solution\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ECortex Code will automatically:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECreate the required database, stages, and image repository\u003C/li\u003E\u003Cli\u003EUpload configuration files\u003C/li\u003E\u003Cli\u003EDetect your container runtime (Docker or Podman)\u003C/li\u003E\u003Cli\u003EBuild and push all 4 container images\u003C/li\u003E\u003Cli\u003EDeploy the Native App\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThe skill will guide you through any required steps, including:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelecting your preferred container runtime if both are available\u003C/li\u003E\u003Cli\u003EAuthenticating with the Snowflake image registry\u003C/li\u003E\u003Cli\u003EMonitoring the build progress\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThe skill uses interactive prompting to gather required information:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/prompt-setup-database.png?v=fdbe6ac5\" alt=\"Interactive Skill Prompting\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E Use your keyboard arrow keys to toggle through the options, then press \u003Cstrong\u003EEnter\u003C/strong\u003E to confirm your selection.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat gets installed:\u003C/strong\u003E\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EComponent\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EName\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPENROUTESERVICE_SETUP\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESetup database with stages and image repository\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_SPCS_STAGE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfiguration files and map data\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_GRAPHS_SPCS_STAGE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EGenerated routing graphs\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStage\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_ELEVATION_CACHE_SPCS_STAGE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EElevation data cache\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EImage Repository\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EIMAGE_REPOSITORY\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EContainer images for services\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EApplication Package\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPENROUTESERVICE_NATIVE_APP_PKG\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENative App package\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EApplication\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPENROUTESERVICE_NATIVE_APP\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeployed Native App with routing functions\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003ESimply confirm each prompt as the skill progresses. The skill handles all the complex setup automatically - creating databases, uploading files, building containers, and deploying the Native App.\u003C/p\u003E\n","\u003Cp\u003EOnce complete, you'll see a success message with a direct link to your app:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/install-successful.png?v=fdbe6ac5\" alt=\"Route Optimizer Installed Successfully\"\u003E\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EActivate the App\u003C/h2\u003E\n","\u003Cp\u003EOnce deployment completes, Cortex Code will provide a link to your app. You need to:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EData Products > Apps > OPENROUTESERVICE_NATIVE_APP\u003C/strong\u003E in Snowsight\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/navigate-to-apps.png?v=fdbe6ac5\" alt=\"Navigate to Apps\"\u003E\u003C/p\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003EClick on the \u003Cstrong\u003EOPENROUTESERVICE_NATIVE_APP\u003C/strong\u003E to open it\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/app-icon.png?v=fdbe6ac5\" alt=\"App Icon\"\u003E\u003C/p\u003E\n\u003Col start=\"3\"\u003E\u003Cli\u003EGrant the required privileges and review external access\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/grant-privileges.png?v=fdbe6ac5\" alt=\"Grant Privileges\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe app requires these permissions to function:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ECREATE COMPUTE POOL\u003C/strong\u003E: Allows the app to create compute pools for running the OpenRouteService containers via Snowpark Container Services\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExternal access integration\u003C/strong\u003E: Required to download OpenStreetMap (OSM) data files from external sources during the initial setup\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003EGrant\u003C/strong\u003E for Step 1. For Step 2, click \u003Cstrong\u003EReview\u003C/strong\u003E to see the external endpoints, then click \u003Cstrong\u003EConnect\u003C/strong\u003E to allow the connection.\u003C/p\u003E\n\u003Col start=\"4\"\u003E\u003Cli\u003EOnce all privileges are granted, click \u003Cstrong\u003EActivate\u003C/strong\u003E and wait a few minutes for the routing functions to install and the graphs to build\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E The activation time depends on your configuration:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EMap size\u003C/strong\u003E: Larger country or state maps take longer than city maps\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVehicle profiles\u003C/strong\u003E: Each enabled profile (driving-car, cycling, walking, etc.) generates its own routing graph\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EResource scaling\u003C/strong\u003E: The compute pool size affects build speed\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThe combination of map size and vehicle options determines the total number of graphs to build. A city map with 2 profiles will complete quickly, while a country map with 5+ profiles will take significantly longer.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EOnce activated, you'll see a \u003Cstrong\u003ELaunch app\u003C/strong\u003E button appear. Click it to open the Service Manager.\u003C/p\u003E\n","\u003Ch3\u003EService Manager\u003C/h3\u003E\n","\u003Cp\u003EThe Launch app button takes you to the \u003Cstrong\u003EService Manager\u003C/strong\u003E dashboard, which displays the status of each of the four services running:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/service-manager.png?v=fdbe6ac5\" alt=\"Service Manager\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe Service Manager shows:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EService Status Dashboard\u003C/strong\u003E - Overview of all running, stopped, and error states\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIndividual Service Management\u003C/strong\u003E - Start/Stop controls for each service:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EData Downloader\u003C/strong\u003E - Downloads and updates map data\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOpen Route Service\u003C/strong\u003E - Core routing and directions engine\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ERouting Gateway\u003C/strong\u003E - API gateway for routing requests\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EVROOM Service\u003C/strong\u003E - Route optimization engine\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EUse the \u003Cstrong\u003EStart All\u003C/strong\u003E / \u003Cstrong\u003EStop All\u003C/strong\u003E buttons for bulk operations, or manage services individually. Click \u003Cstrong\u003ERefresh Status\u003C/strong\u003E to update the dashboard.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E All 4 services should show ✅ RUNNING status before using the routing functions.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EORS Configuration\u003C/h2\u003E\n","\u003Cp\u003EThe Native App is configured via the \u003Ccode\u003Eors-config.yml\u003C/code\u003E file which controls:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMap Source File\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yml\"\u003Eors:\n  engine:\n    profile_default:\n      build:  \n        source_file: /home/ors/files/SanFrancisco.osm.pbf\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe default deployment uses San Francisco. When you customize the map region, this path is updated automatically.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ERouting Profiles\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe configuration defines which routing profiles are available for routing:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EProfile\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDefault\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edriving-car\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStandard passenger vehicle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✅ Enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edriving-hgv\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHeavy goods vehicle (trucks)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✅ Enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-road\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoad bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-regular\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERegular bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-mountain\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMountain bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-electric\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EElectric bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E✅ Enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efoot-walking\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPedestrian walking\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efoot-hiking\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHiking trails\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ewheelchair\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWheelchair accessible\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E❌ Disabled\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E Enabling more profiles increases graph build time and compute resource usage. The default configuration covers most delivery and logistics use cases.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOptimization Limits\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe config also controls route optimization capacity:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yml\"\u003E    matrix:\n      maximum_visited_nodes: 100000000\n      maximum_routes: 250000\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThese settings support complex route optimizations with many vehicles and delivery points.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EFunction Tester\u003C/h2\u003E\n","\u003Cp\u003EThe Native App includes a built-in \u003Cstrong\u003EFunction Tester\u003C/strong\u003E Streamlit application for testing the routing functions interactively.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/function-tester.png?v=fdbe6ac5\" alt=\"Function Tester\"\u003E\u003C/p\u003E\n","\u003Cp\u003ETo access the Function Tester:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EOpen \u003Cstrong\u003EData Products > Apps > OPENROUTESERVICE_NATIVE_APP\u003C/strong\u003E in Snowsight\u003C/li\u003E\u003Cli\u003ENavigate to the \u003Cstrong\u003EFunction Tester\u003C/strong\u003E page in the app\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThe Function Tester allows you to test all four routing functions:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003E🗺️ DIRECTIONS\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelect start and end locations from preset addresses\u003C/li\u003E\u003Cli\u003EChoose a routing profile (car, truck, bicycle)\u003C/li\u003E\u003Cli\u003EView the calculated route on an interactive map\u003C/li\u003E\u003Cli\u003ESee step-by-step directions and distance/duration\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003E🚚 OPTIMIZATION\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EConfigure multiple vehicles with different:\n\u003Cul\u003E\u003Cli\u003ETime windows (start/end hours)\u003C/li\u003E\u003Cli\u003ECapacity limits\u003C/li\u003E\u003Cli\u003ESkill sets (refrigeration, hazardous goods, etc.)\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003EAdd delivery jobs with:\n\u003Cul\u003E\u003Cli\u003ELocations\u003C/li\u003E\u003Cli\u003ETime windows\u003C/li\u003E\u003Cli\u003ERequired skills\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003ERun the optimization to see assigned routes per vehicle\u003C/li\u003E\u003Cli\u003EView detailed itinerary for each vehicle\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003E⏰ ISOCHRONES\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESelect a center point location\u003C/li\u003E\u003Cli\u003EChoose travel time in minutes\u003C/li\u003E\u003Cli\u003EGenerate a catchment polygon showing how far you can travel\u003C/li\u003E\u003Cli\u003EUseful for delivery zone planning and coverage analysis\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003E🗺️ TIME-DISTANCE MATRIX\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECalculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E The Function Tester comes pre-configured with San Francisco addresses and default vehicle profiles (car, HGV, electric bicycle). When you customize the deployment, the Function Tester is automatically updated with region-specific addresses and your enabled vehicle profiles.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ESQL Function Reference\u003C/h2\u003E\n","\u003Cp\u003EAll routing functions are deployed as SQL functions inside the Native App and can be called directly from any Snowflake worksheet, notebook, or application. The functions live under \u003Ccode\u003EOPENROUTESERVICE_NATIVE_APP.CORE\u003C/code\u003E.\u003C/p\u003E\n","\u003Ch3\u003EFunction Overview\u003C/h3\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EFunction\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESignature\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EReturns\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, jstart ARRAY, jend ARRAY)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPoint-to-point directions\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, locations VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMulti-waypoint directions\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EISOCHRONES\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method TEXT, lon FLOAT, lat FLOAT, range INT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECatchment area polygon\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(jobs ARRAY, vehicles ARRAY, matrices ARRAY)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoute optimization (tabular)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(challenge VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoute optimization (raw)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EMATRIX\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, locations ARRAY)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETime-distance matrix (tabular)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EMATRIX\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, options VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETime-distance matrix (raw)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EORS_STATUS\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E()\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EVARIANT\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EService health and graph info\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS_GEO\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, jstart ARRAY, jend ARRAY)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE, GEOJSON, DISTANCE, DURATION)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDirections with GEOGRAPHY\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EDIRECTIONS_GEO\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method VARCHAR, locations VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE, GEOJSON, DISTANCE, DURATION)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMulti-waypoint with GEOGRAPHY\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EISOCHRONES_GEO\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(method TEXT, lon FLOAT, lat FLOAT, range INT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE, GEOJSON)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EIsochrone with GEOGRAPHY\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION_GEO\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(jobs ARRAY, vehicles ARRAY, matrices ARRAY)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE, GEOJSON, VEHICLE, DURATION, STEPS)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOptimization with GEOGRAPHY\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOPTIMIZATION_GEO\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E(challenge VARIANT)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETABLE(RESPONSE, GEOJSON, VEHICLE, DURATION, STEPS)\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EOptimization (raw) with GEOGRAPHY\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EBase Functions — SQL Examples\u003C/h3\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDirections: Point-to-Point\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ECalculate a driving route between two coordinates (longitude, latitude):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    [-122.4194, 37.7749],   -- start: [lon, lat]\n    [-122.4783, 37.8199]    -- end:   [lon, lat]\n) AS route;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDirections: Multi-Waypoint\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ERoute through multiple stops by passing a \u003Ccode\u003Elocations\u003C/code\u003E object:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    OBJECT_CONSTRUCT('coordinates', \n        ARRAY_CONSTRUCT(\n            ARRAY_CONSTRUCT(-122.4194, 37.7749),   -- stop 1\n            ARRAY_CONSTRUCT(-122.4078, 37.7941),   -- stop 2\n            ARRAY_CONSTRUCT(-122.4783, 37.8199)    -- stop 3\n        )\n    )\n) AS route;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EGenerate a polygon showing the area reachable within 10 minutes of driving:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES(\n    'driving-car',\n    -122.4194,   -- longitude\n    37.7749,     -- latitude\n    10           -- range in minutes\n) AS isochrone;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOptimization: Tabular\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EMatch delivery jobs to vehicles using arrays of jobs and vehicles:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION(\n    -- jobs: array of delivery tasks\n    [\n        {'id': 1, 'location': [-122.4194, 37.7749], 'service': 300},\n        {'id': 2, 'location': [-122.4078, 37.7941], 'service': 300},\n        {'id': 3, 'location': [-122.4350, 37.7609], 'service': 300}\n    ],\n    -- vehicles: array of available vehicles\n    [\n        {'id': 1, 'profile': 'driving-car', 'start': [-122.4177, 37.8080], 'end': [-122.4177, 37.8080], 'capacity': [4], 'time_window': [28800, 43200]},\n        {'id': 2, 'profile': 'driving-car', 'start': [-122.3950, 37.7785], 'end': [-122.3950, 37.7785], 'capacity': [4], 'time_window': [28800, 43200]}\n    ],\n    -- matrices (optional, empty array uses ORS to calculate)\n    []\n) AS optimized_routes;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOptimization: Raw Variant\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EPass a full VROOM-compatible JSON challenge:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION(\n    PARSE_JSON('{\n        "jobs": [\n            {"id": 1, "location": [-122.4194, 37.7749], "service": 300},\n            {"id": 2, "location": [-122.4078, 37.7941], "service": 300}\n        ],\n        "vehicles": [\n            {"id": 1, "profile": "driving-car", "start": [-122.4177, 37.8080], "end": [-122.4177, 37.8080], "capacity": [4]}\n        ]\n    }')\n) AS optimized_routes;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMatrix: Tabular\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ECalculate the time and distance matrix between multiple locations:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.MATRIX(\n    'driving-car',\n    ARRAY_CONSTRUCT(\n        ARRAY_CONSTRUCT(-122.4194, 37.7749),\n        ARRAY_CONSTRUCT(-122.4078, 37.7941),\n        ARRAY_CONSTRUCT(-122.4783, 37.8199)\n    )\n) AS matrix;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMatrix: Raw Variant\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EPass full matrix options for advanced control (sources, destinations, metrics):\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT OPENROUTESERVICE_NATIVE_APP.CORE.MATRIX(\n    'driving-car',\n    PARSE_JSON('{\n        "locations": [[-122.4194, 37.7749], [-122.4078, 37.7941], [-122.4783, 37.8199]],\n        "metrics": ["distance", "duration"],\n        "resolve_locations": true,\n        "sources": [0],\n        "destinations": [1, 2]\n    }')\n) AS matrix;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EGeoFunctions — Native GEOGRAPHY Output\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Ccode\u003E_GEO\u003C/code\u003E functions are \u003Cstrong\u003ESQL wrappers\u003C/strong\u003E around the base functions above. All they do is:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ECall the base function (e.g. \u003Ccode\u003EDIRECTIONS\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EUse \u003Ccode\u003ETO_GEOGRAPHY()\u003C/code\u003E to parse the GeoJSON geometry from the VARIANT response into a native Snowflake \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E column\u003C/li\u003E\u003Cli\u003EExtract key summary fields (distance, duration, vehicle ID, etc.) into their own columns\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhy this matters:\u003C/strong\u003E The base functions return a single \u003Ccode\u003EVARIANT\u003C/code\u003E column where the route geometry is buried inside \u003Ccode\u003Eresponse:features[0]:geometry\u003C/code\u003E. The GeoFunctions extract that geometry into a dedicated \u003Ccode\u003EGEOJSON GEOGRAPHY\u003C/code\u003E column for user convenience.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDIRECTIONS_GEO: Point-to-Point\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS_GEO(\n    'driving-car',\n    [-122.4194, 37.7749],\n    [-122.4783, 37.8199]\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDIRECTIONS_GEO: Multi-Waypoint\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS_GEO(\n    'driving-car',\n    OBJECT_CONSTRUCT('coordinates',\n        ARRAY_CONSTRUCT(\n            ARRAY_CONSTRUCT(-122.4194, 37.7749),\n            ARRAY_CONSTRUCT(-122.4078, 37.7941),\n            ARRAY_CONSTRUCT(-122.4783, 37.8199)\n        )\n    )\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EISOCHRONES_GEO\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES_GEO(\n    'driving-car',\n    -122.4194,\n    37.7749,\n    10\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOPTIMIZATION_GEO: Tabular\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EReturns one row per vehicle route with the route geometry as a \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E LineString:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION_GEO(\n    [\n        {'id': 1, 'location': [-122.4194, 37.7749], 'service': 300},\n        {'id': 2, 'location': [-122.4078, 37.7941], 'service': 300},\n        {'id': 3, 'location': [-122.4350, 37.7609], 'service': 300}\n    ],\n    [\n        {'id': 1, 'profile': 'driving-car', 'start': [-122.4177, 37.8080], 'end': [-122.4177, 37.8080], 'capacity': [4], 'time_window': [28800, 43200]},\n        {'id': 2, 'profile': 'driving-car', 'start': [-122.3950, 37.7785], 'end': [-122.3950, 37.7785], 'capacity': [4], 'time_window': [28800, 43200]}\n    ],\n    []\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOPTIMIZATION_GEO: Raw Variant\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION_GEO(\n    PARSE_JSON('{\n        "jobs": [\n            {"id": 1, "location": [-122.4194, 37.7749], "service": 300},\n            {"id": 2, "location": [-122.4078, 37.7941], "service": 300}\n        ],\n        "vehicles": [\n            {"id": 1, "profile": "driving-car", "start": [-122.4177, 37.8080], "end": [-122.4177, 37.8080], "capacity": [4]}\n        ]\n    }')\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EGeospatial Integration Patterns\u003C/h3\u003E\n","\u003Cp\u003EOnce you have \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E columns from the Geofunctions, you can chain them with Snowflake's built-in geospatial functions:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ERoute length in kilometers:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT\n    ST_LENGTH(GEOJSON) / 1000 AS route_length_km,\n    DISTANCE / 1000 AS ors_distance_km,\n    DURATION / 60 AS duration_minutes\nFROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS_GEO(\n    'driving-car', [-122.4194, 37.7749], [-122.4783, 37.8199]\n));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003EIsochrone area in square kilometers:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT\n    ST_AREA(GEOJSON) / 1000000 AS catchment_area_sq_km\nFROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES_GEO(\n    'driving-car', -122.4194, 37.7749, 15\n));\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECheck if a point falls within an isochrone:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESELECT\n    ST_WITHIN(\n        ST_MAKEPOINT(-122.4078, 37.7941),\n        GEOJSON\n    ) AS is_reachable\nFROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES_GEO(\n    'driving-car', -122.4194, 37.7749, 10\n));\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECustomize Your Deployment\u003C/h2\u003E\n","\u003Cp\u003EThe default deployment uses San Francisco with standard routing profiles. You can customize \u003Cstrong\u003Etwo key areas\u003C/strong\u003E for the ORS Native App:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ECustomization\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDefault\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExample Custom\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E🗺️ \u003Cstrong\u003EMap Region\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESan Francisco\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EParis, London, Tokyo, etc.\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E🚚 \u003Cstrong\u003ERouting Profiles\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECar, HGV, Electric Bicycle\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAdd walking, wheelchair, road bicycle\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E This step is optional. If you skip customization, the Native App will use the San Francisco defaults.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EORS Customization Skills\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003E.cortex/skills/customize-main/\n├── location.md           ← Customize map\n└── routing-profiles.md   ← Customize routing profile\n...  \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo customize, run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$customize-main\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EHow the Customization Works\u003C/h3\u003E\n","\u003Cp\u003EThe main \u003Ccode\u003E$customize-main\u003C/code\u003E skill orchestrates the process by asking \u003Cstrong\u003Etwo questions\u003C/strong\u003E, then runs only the relevant sub-skills:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003E"Do you want to customize the LOCATION (map region)?"\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIf YES → Runs \u003Ccode\u003E$customize-main/location\u003C/code\u003E `\u003C/li\u003E\u003Cli\u003EIf NO → Skips map download entirely\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003E"Do you want to customize ROUTING PROFILES (vehicle types)?"\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIf YES → Runs \u003Ccode\u003E$customize-main/routing-profiles\u003C/code\u003E\u003C/li\u003E\u003Cli\u003EIf NO → Keeps default profiles (car, HGV, electric bicycle)\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EExample: Customizing to Paris\u003C/h3\u003E\n","\u003Cp\u003ELet's try changing the location to Paris. In Cortex Code, simply type:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E$customize-main\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Ethen select location: Paris as part of the workflow.\u003C/p\u003E\n","\u003Cp\u003ECortex Code will find the appropriate skill and guide you through the process:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EStep 1: Location Change\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECortex Code downloads the Paris (or Île-de-France) map from Geofabrik\u003C/li\u003E\u003Cli\u003EUploads the OpenStreetMap data to Snowflake\u003C/li\u003E\u003Cli\u003EUpdates \u003Ccode\u003Eors-config.yml\u003C/code\u003E with the new map path\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EStep 2: Routing Profiles\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EChoose which routing profiles to enable for Paris:\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003Edriving-car\u003C/code\u003E - Standard passenger vehicle ✅\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Edriving-hgv\u003C/code\u003E - Heavy goods vehicle (trucks) ✅\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Ecycling-electric\u003C/code\u003E - Electric bicycles ✅\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Efoot-walking\u003C/code\u003E - Pedestrian (optional)\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Ewheelchair\u003C/code\u003E - Wheelchair accessible (optional)\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EStep 3: Function Tester Update\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EUpdates Function Tester with Paris addresses\u003C/li\u003E\u003Cli\u003EUpdates available vehicle profiles dropdown to match your configuration\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EStep 4: Build Graphs\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EServices restart to update routing graphs for Paris\u003C/li\u003E\u003Cli\u003EChanges are applied directly to your local files\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EOnce the customization completes, Cortex Code shows a summary of everything that was updated:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/location-customization-complete.png?v=fdbe6ac5\" alt=\"Location Customization Complete\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThe summary confirms:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E✅ \u003Cstrong\u003EMap downloaded\u003C/strong\u003E - The Île-de-France map for the Paris region\u003C/li\u003E\u003Cli\u003E✅ \u003Cstrong\u003EConfig updated\u003C/strong\u003E - \u003Ccode\u003Eors-config.yml\u003C/code\u003E now points to the new map file\u003C/li\u003E\u003Cli\u003E✅ \u003Cstrong\u003EService spec updated\u003C/strong\u003E - Volume paths configured for Paris\u003C/li\u003E\u003Cli\u003E✅ \u003Cstrong\u003EServices resumed\u003C/strong\u003E - ORS_SERVICE is rebuilding routing graphs (this takes 15-30 minutes depending on map size)\u003C/li\u003E\u003Cli\u003E✅ \u003Cstrong\u003EStreamlit updated\u003C/strong\u003E - Default location changed to "Eiffel Tower, Paris"\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cstrong\u003E⏳ Wait for Services to Restart\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EAfter the map is uploaded (if location was changed) or profiles were modified (if vehicles were changed), the services need to update the routing graphs. You can monitor progress in the Service Manager:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EData Products > Apps > OPENROUTESERVICE_NATIVE_APP\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003ECheck the \u003Cstrong\u003EService Manager\u003C/strong\u003E - all 4 services should show ✅ RUNNING\u003C/li\u003E\u003Cli\u003EThe \u003Cstrong\u003EOpen Route Service\u003C/strong\u003E will take the longest as it builds the graph files\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EOnce services are running, the Function Tester will show \u003Cstrong\u003EParis addresses\u003C/strong\u003E instead of San Francisco!\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/new-location-complete.png?v=fdbe6ac5\" alt=\"New Location Complete\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can now test the routing functions with Paris addresses. Here's an example of testing the \u003Cstrong\u003EISOCHRONES\u003C/strong\u003E function to calculate a 15-minute driving catchment area from the Eiffel Tower:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/test-isochrones-paris.png?v=fdbe6ac5\" alt=\"Test Isochrones Paris\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E If you only want to enable additional vehicle profiles (and keep San Francisco), answer NO to location. This skips map download entirely - making it much faster!\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EMap Download & Resource Scaling (Location Changes Only)\u003C/h3\u003E\n","\u003Cp\u003EIf you selected YES to location customization, the skill downloads OpenStreetMap data from Geofabrik or BBBike. The bigger the map file, the longer it takes to:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDownload\u003C/strong\u003E the OSM data from the source\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EUpload\u003C/strong\u003E to the Snowflake stage\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EGenerate graph files\u003C/strong\u003E for route calculations\u003C/li\u003E\u003C/ul\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EMap Size\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExample Regions\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDownload Time\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EGraph Build Time\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E< 100MB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESan Francisco, Zurich\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMinutes\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E5-15 minutes\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E100MB - 1GB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENew York State, Switzerland\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E10-30 minutes\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E30-60 minutes\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E1-5GB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EGermany, France, California\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E30-60 minutes\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E1-3 hours\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E> 5GB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EGreat Britain, entire countries\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E1-2 hours\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E3-8+ hours\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EIMPORTANT:\u003C/em\u003E\u003C/strong\u003E For country-wide or large region maps, graph generation can take \u003Cstrong\u003Eseveral hours\u003C/strong\u003E. The services will show as "running" while building graphs in the background.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EAutomatic Compute Scaling\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003ECortex Code will detect the map size after download and offer to \u003Cstrong\u003Eresize the compute pool\u003C/strong\u003E to speed up graph generation:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EMap Size\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESuggested Compute\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EAuto-Suspend Extension\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E< 1GB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECPU_X64_S (default)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E1 hour\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E1-5GB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHIGHMEM_X64_M\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E8 hours\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E> 5GB\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHIGHMEM_X64_M\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E24 hours\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003EWhen prompted, you can accept the scaling recommendation to ensure graphs are computed as quickly as possible. The extended auto-suspend time prevents the service from shutting down mid-build.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E For quickest results, use the smallest map that covers your use case. A city-level map (e.g., New York) builds much faster than a country map (e.g., USA).\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ERouting Profile Configuration\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe skill presents available routing profiles and lets you enable/disable them:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EProfile\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ECategory\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edriving-car\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDriving\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStandard passenger vehicle\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edriving-hgv\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDriving\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHeavy goods vehicles (trucks)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-regular\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECycling\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStandard bicycles\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-road\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECycling\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERoad bicycles\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-mountain\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECycling\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMountain bicycles\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ecycling-electric\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECycling\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EElectric bicycles\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efoot-walking\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFoot\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPedestrian walking\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Efoot-hiking\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFoot\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHiking trails\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ewheelchair\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWheelchair\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWheelchair accessible routes\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ENOTE:\u003C/em\u003E\u003C/strong\u003E Enabling more profiles increases graph build time. The default (driving-car, driving-hgv, cycling-electric) covers most logistics use cases.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFunction Tester Customization\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe skill automatically updates the \u003Cstrong\u003EFunction Tester Streamlit\u003C/strong\u003E with:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ERegion-specific sample addresses:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EStart locations (5 landmarks/city centers)\u003C/li\u003E\u003Cli\u003EEnd locations (5 different destinations)\u003C/li\u003E\u003Cli\u003EWaypoints (20 locations across the region)\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EVehicle profiles dropdown:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EUpdated to show only your enabled profiles\u003C/li\u003E\u003Cli\u003EMatches the profiles configured in \u003Ccode\u003Eors-config.yml\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThis ensures test addresses are valid for your map region and vehicle options match your configuration.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003ETIP:\u003C/em\u003E\u003C/strong\u003E Customizations modify your local files directly. If you want to preserve the original San Francisco configuration, make a backup before customizing.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EOnce your services are running with the new map (or if you skipped customization), you're ready to deploy the demo!\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ENext Steps\u003C/h2\u003E\n","\u003Cp\u003E🎉 \u003Cstrong\u003ECongratulations!\u003C/strong\u003E Your Routing Solution is now installed and configured.\u003C/p\u003E\n","\u003Cp\u003ETo deploy the Route Optimization demo with real-world POI data and interactive notebooks, continue to the next quickstart:\n👉 \u003Cstrong\u003E\u003Ca href=\"../oss-deploy-route-optimization-demo/\"\u003EDeploy Route Optimization Demo\u003C/a\u003E\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EThe demo quickstart will:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EAcquire the \u003Cstrong\u003ECarto Overture Maps Places\u003C/strong\u003E dataset with 50+ million POIs worldwide\u003C/li\u003E\u003Cli\u003EDeploy interactive \u003Cstrong\u003EAISQL notebooks\u003C/strong\u003E to explore routing functions\u003C/li\u003E\u003Cli\u003ECreate the \u003Cstrong\u003ERoute Optimization Simulator\u003C/strong\u003E Streamlit app\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EAll demo content will use your configured map region (San Francisco by default, or your customized region like Paris).\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EUninstall the Route Optimizer\u003C/h2\u003E\n","\u003Cp\u003ECortex Code makes uninstallation simple with natural language commands.\u003C/p\u003E\n","\u003Ch3\u003EUninstall demo\u003C/h3\u003E\n","\u003Cp\u003ETo remove the Snowflake objects installed as part of the demo you can type in Cortex Code CLI:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Euninstall all Snowflake objects created as part of skill $build-routing-solution\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ERemove the Native App (\u003Ccode\u003EOPENROUTESERVICE_NATIVE_APP\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EDrop the Application Package (\u003Ccode\u003EOPENROUTESERVICE_NATIVE_APP_PKG\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EDelete the setup database (\u003Ccode\u003EOPENROUTESERVICE_SETUP\u003C/code\u003E) including all stages and image repository\u003C/li\u003E\u003Cli\u003EOptionally remove local container images\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E\n","\u003Ch3\u003EConclusion\u003C/h3\u003E\n","\u003Cp\u003EYou've just deployed a \u003Cstrong\u003Eself-contained routing solution\u003C/strong\u003E in Snowflake using natural language commands - no complex configuration files, no external API dependencies, and no data leaving your Snowflake environment.\u003C/p\u003E\n","\u003Cp\u003EThis solution demonstrates the power of combining:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ECortex Code\u003C/strong\u003E - AI-powered CLI that turns natural language into automated workflows\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESnowpark Container Services\u003C/strong\u003E - Running OpenRouteService as a self-managed Native App\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ENative App Functions\u003C/strong\u003E - SQL-callable routing functions for directions, optimization, isochrones, and time-distance matrix\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThe key advantage of this approach is \u003Cstrong\u003Eflexibility without complexity\u003C/strong\u003E. Want to switch from San Francisco to Paris? Just run the location customization skill. Need to add walking or cycling routes? Enable additional routing profiles. The skill-based approach means you only run the steps you need.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDeploy Native Apps with Cortex Code\u003C/strong\u003E - Use natural language skills to automate complex Snowflake deployments including container services, stages, and compute pools\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESelf-Managed Route Optimization\u003C/strong\u003E - Run OpenRouteService entirely within Snowflake with no external API calls, giving you unlimited routing requests and complete data privacy\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFlexible Customization\u003C/strong\u003E - Use skills to customize location (any city in the world) and vehicle types (car, HGV, bicycle, walking)\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFour Routing Functions:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EDirections\u003C/strong\u003E - Point-to-point and multi-waypoint routing\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOptimization\u003C/strong\u003E - Match delivery jobs to vehicles based on time windows, capacity, and skills\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIsochrones\u003C/strong\u003E - Generate catchment polygons showing reachable areas\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime-Distance Matrix\u003C/strong\u003E - Calculate travel time and distance matrices between multiple locations\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003EGeoFunctions for Geospatial Analysis\u003C/strong\u003E - Use \u003Ccode\u003E_GEO\u003C/code\u003E variants (\u003Ccode\u003EDIRECTIONS_GEO\u003C/code\u003E, \u003Ccode\u003EISOCHRONES_GEO\u003C/code\u003E, \u003Ccode\u003EOPTIMIZATION_GEO\u003C/code\u003E) that wrap the base functions and return native \u003Ccode\u003EGEOGRAPHY\u003C/code\u003E columns — no manual JSON parsing needed\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ENext Steps\u003C/h3\u003E\n","\u003Cp\u003EDeploy the demo to see the routing functions in action with real-world POI data:\u003C/p\u003E\n","\u003Cp\u003E👉 \u003Cstrong\u003E\u003Ca href=\"../oss-deploy-route-optimization-demo/\"\u003EDeploy Route Optimization Demo\u003C/a\u003E\u003C/strong\u003E\u003C/p\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n","\u003Ch4\u003ESource code\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-Create-a-Route-Optimisation-and-Vehicle-Route-Plan-Simulator\"\u003ESource Code on Github\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Quickstarts\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/oss-deploy-route-optimization-demo/\"\u003EDeploy Route Optimization Demo\u003C/a\u003E - Build a visual route optimization simulator\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/oss-retail-catchment-overture-maps/\"\u003ERetail Catchment Analysis with Overture Maps\u003C/a\u003E - Build an interactive retail catchment analysis tool using real-world POI data - powered by OpenRouteService in Snowflake\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/oss-deploy-a-fleet-intelligence-solution-for-taxis/\"\u003EDeploy Fleet Intelligence Solution for Taxis\u003C/a\u003E - Track and analyze taxi fleet operations\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/oss-deploy-snowflake-intelligence-routing-agent/\"\u003EDeploy Snowflake Intelligence Routing Agent\u003C/a\u003E - Build an AI-powered route planning assistant that understands natural language locations - powered by OpenRouteService and Snowflake Intelligence\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003EOpenRouteService Resources\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://openrouteservice.org/\"\u003EOpenRouteService Official Website\u003C/a\u003E - Documentation, API reference, and community resources\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/GIScience/openrouteservice\"\u003EOpenRouteService on GitHub\u003C/a\u003E - Source code and technical documentation\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://github.com/VROOM-Project/vroom\"\u003EVROOM Project\u003C/a\u003E - Vehicle Routing Open-source Optimization Machine powering route optimization\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003ECortex Code\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ECortex Code\u003C/a\u003E - Snowflake's AI-powered CLI and agentic interface\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/native-apps/native-apps-about\"\u003ESnowflake Native Apps\u003C/a\u003E - Build and distribute applications within Snowflake\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003EMap Data Sources\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://download.geofabrik.de/\"\u003EGeofabrik Downloads\u003C/a\u003E - Country and region OpenStreetMap extracts\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://extract.bbbike.org/\"\u003EBBBike Extracts\u003C/a\u003E - City-specific OpenStreetMap extracts for faster processing\u003C/li\u003E\u003C/ul\u003E"],"elements":{"quickstartArticleBody":{"title":"Quickstart Article Body","dataType":"string","value":"\u003E 🚀 **Build. Customize. Optimize.** Use natural language to deploy a complete route optimization solution in Snowflake - no code, no external APIs, just results.\n\n\u003C!-- ------------------------ --\u003E\n## Overview \n\n![alt text](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/overview-map.png?v=fdbe6ac5)\n\n**Build a complete route optimization platform in minutes using just natural language commands.**\n\nThis solution builds an [Open Route Service](https://openrouteservice.org/) Native App directly in your Snowflake account using **Cortex Code** - Snowflake's AI-powered CLI. No complex setup, no external APIs, no data leaving Snowflake.\n\n### What You'll Build\n\n🔧 **OpenRouteService Native App** - A self-contained routing engine running in Snowpark Container Services with SQL-callable functions.\n\n📍 **Four Powerful Routing Functions:**\n- **Directions** - Calculate optimal routes between multiple waypoints\n- **Optimization** - Match delivery jobs to vehicles based on time windows, capacity, and skills\n- **Isochrones** - Generate catchment polygons showing reachable areas within a given drive time\n- **Time-Distance Matrix** - Calculate travel time and distance matrices between multiple locations\n\n📐 **GeoFunctions** — Each routing function also has a `_GEO` variant (e.g. `DIRECTIONS_GEO`, `ISOCHRONES_GEO`, `OPTIMIZATION_GEO`) that wraps the base function and returns the route/polygon geometry as a native Snowflake `GEOGRAPHY` column — ready for geospatial analysis with `ST_LENGTH`, `ST_AREA`, `ST_WITHIN`, and more.\n\n🗺️ **Any Location** - Customize to Paris, London, New York, or anywhere in the world with downloadable OpenStreetMap data.\n\n🧪 **Function Tester** - An interactive Streamlit app to test the routing functions with sample addresses.\n\n### Why This Matters\n\n| Traditional Approach | This Solution |\n|---------------------|---------------|\n| External API dependencies | Self-contained Native App |\n| Data leaves your environment | Everything stays in Snowflake |\n| Complex integration work | Deploy with natural language commands |\n| Pay-per-call API limits | Unlimited calls, you control compute |\n| Hours of setup | Minutes to deploy |\n\n### Prerequisites\n\n**This is what you will need**:\n\n-   **ACCOUNTADMIN** access to your Snowflake account\n    \n-   [Snowpark Container Services Activated](https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview)\n\n\u003E **_NOTE:_** This is enabled by default with the exception of Free Trials where you would need to contact your snowflake representative to activate it.  \n\n-   [External Access Integration Activated](https://docs.snowflake.com/en/sql-reference/sql/create-external-access-integration) - Required to download map files from provider account\n\n-   **Cortex Code CLI** installed and configured\n    - Installation: See the [Cortex Code documentation](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) for setup instructions\n    - Add to your PATH: `export PATH=\"$HOME/.local/bin:$PATH\"` (add to `~/.zshrc` or `~/.bashrc`)\n    - Verify: `cortex --version`\n\n-   **Container Runtime** - One of the following:\n    - [Podman](https://podman.io/) (recommended): `brew install podman` (macOS) \n    - [Docker Desktop](https://www.docker.com/products/docker-desktop/)\n\n-   [VSCode](https://code.visualstudio.com/download) recommended for running Cortex Code commands\n\n### Route Planning And Optimization Architecture\n\nThe architecture below shows the solution which uses a native app and container services to power sophisticated routing and optimisation functions. \n\n![alt text](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/architecture-diagram.png?v=fdbe6ac5)\n\nThis is a self-contained service which is managed by you. There are no API calls outside of Snowflake and no API limitations. This solution uses a small high-memory pool (HIGHMEM_X64_S) which is capable of running unlimited service calls within **San Francisco** (the default map). If you wish to use a larger map such as Europe or the World, you can increase the size of the compute.\n\n\n### What You'll Learn \n\n- Build a Snowflake Native App using **Cortex Code** AI-powered CLI with natural language commands\n- Use **Snowpark Container Services** to run OpenRouteService as a self-managed routing engine\n- Understand **Geospatial** data in Snowflake and how it integrates with routing functions\n- Work with 4 routing functions deployed via the Native App:\n  - **Directions** - Simple and multi-waypoint routing based on road network and vehicle profile\n  - **Optimization** - Route optimization matching demands with vehicle availability\n  - **Isochrones** - Catchment area analysis based on travel time\n  - **Time-Distance Matrix** - Calculate travel time and distance matrices between multiple locations\n- Call all routing functions directly via **SQL** — including concrete query examples you can run immediately\n- Customize map regions and vehicle profiles for your specific use case\n\n\u003C!-- ------------------------ --\u003E\n## Build the Routing Solution\n\n![Cortex Code Deployment](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/architecture-diagram.png?v=fdbe6ac5)\n\nUse Cortex Code, Snowflake's AI-powered CLI, to deploy the Native App using natural language commands and automated skills.\n\n### Setup Cortex Code\n\n1. **Clone the repository**:\n     ```bash\n   git clone https://github.com/Snowflake-Labs/sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\n     cd sfguide-create-a-route-optimisation-and-vehicle-route-plan-simulator\n     ```\n   \n   **Without Git**: Download the ZIP from the repository and extract it, then navigate to the folder in VS Code\n\n   After cloning, open the folder in VS Code. You should see the following structure in your Explorer:\n\n   ![Cloned Repository Structure](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/cloned-objects.png?v=fdbe6ac5)\n\n2. **Launch Cortex Code CLI** in the VS Code terminal:\n   ```bash\n   cortex\n   ```\n\n3. **Connect to Snowflake** - Cortex Code will prompt you to select or create a connection.  once a connection has ben created using one of the authentication methods, you will now be able to start cortex code in the terminal by using the **cortex** command which will give you a similar screen as below.\n\n![Cortex Code Logged In](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/co-co-logged-in.png?v=fdbe6ac5)\n\n### Understanding Cortex Code Skills\n\nBefore running any commands, it's helpful to understand what **skills** are and how they power this solution.\n\n**What are Skills?**\n\nSkills are structured specifications that instruct Cortex Code how to perform a procedure. Think of them as detailed recipes - they define the exact steps, parameters, and verification checks needed to accomplish a task. Each skill is a markdown file that describes:\n\n- **What the skill does** - A clear description of the outcome\n- **Step-by-step instructions** - The exact sequence of actions to perform\n- **Stopping points** - Where to pause for user input or verification\n- **Success criteria** - How to verify the task completed correctly\n\n**Benefits of Using Skills**\n\n| Benefit | Description |\n|---------|-------------|\n| **Consistency** | Skills ensure the same steps are followed every time, reducing human error |\n| **Reusability** | Once created, skills can be shared and reused across projects and teams |\n| **Transparency** | You can read the skill file to understand exactly what will happen before running it |\n| **Customizability** | Skills can be modified to fit your specific requirements |\n| **AI-Assisted Creation** | Cortex Code can help you create new skills from natural language descriptions |\n\n**How This Solution Uses Skills**\n\nThis repository demonstrates how skills can manage the **complete lifecycle** of an end-to-end Snowflake analytical solution - from installation through customization to uninstallation. There are multiple pre-built skills in the `.cortex/skills/skill_name/SKILL.md`:\n\n| Stage | Skills | What They Do |\n|-------|--------|--------------|\n| **📦 Build** | `build-routing-solution` | Deploy Routing Solution based on Native App and container services |\n| **⚙️ Customize** | `customize-main` | Route customization requests (location and routing profiles) |\n| | ↳ `customize-main/location` | Change the geographic region (sub-skill, do not invoke separately) |\n| | ↳ `customize-main/routing-profiles` | Enable/disable vehicle routing profiles (sub-skill, do not invoke separately) |\n| | ↳ `customize-main/read-ors-configuration` | Read current ORS configuration (sub-skill, do not invoke separately) |\n\nTo run any skill, simply tell Cortex Code:\n```\n$\u003Cskill-name\u003E\n```\n\nFor example:\n```\n$build-routing-solution\n```\n\nCortex Code reads the skill's markdown file and executes each step, asking for input when needed and verifying success before moving on.\n\n\u003E **_TIP:_** Want to see what a skill does before running it? Open the skill's `.md` file in the `.cortex/skills/skill_name/` folder to review the exact steps.\n\n### Verify Prerequisites (Optional)\n\nRun the prerequisites check skill to ensure all dependencies are installed:\n   ```\n   $prerequisites-build-routing-solution\n   ```\n\n### Build the Routing Solution\n\nSimply type the following command in Cortex Code:\n\n```\n$build-routing-solution\n```\n\nCortex Code will automatically:\n- Create the required database, stages, and image repository\n- Upload configuration files\n- Detect your container runtime (Docker or Podman)\n- Build and push all 4 container images\n- Deploy the Native App\n\nThe skill will guide you through any required steps, including:\n- Selecting your preferred container runtime if both are available\n- Authenticating with the Snowflake image registry\n- Monitoring the build progress\n\nThe skill uses interactive prompting to gather required information:\n\n![Interactive Skill Prompting](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/prompt-setup-database.png?v=fdbe6ac5)\n\n\u003E **_TIP:_** Use your keyboard arrow keys to toggle through the options, then press **Enter** to confirm your selection.\n\n**What gets installed:**\n\n| Component | Name | Description |\n|-----------|------|-------------|\n| Database | `OPENROUTESERVICE_SETUP` | Setup database with stages and image repository |\n| Stage | `ORS_SPCS_STAGE` | Configuration files and map data |\n| Stage | `ORS_GRAPHS_SPCS_STAGE` | Generated routing graphs |\n| Stage | `ORS_ELEVATION_CACHE_SPCS_STAGE` | Elevation data cache |\n| Image Repository | `IMAGE_REPOSITORY` | Container images for services |\n| Application Package | `OPENROUTESERVICE_NATIVE_APP_PKG` | Native App package |\n| Application | `OPENROUTESERVICE_NATIVE_APP` | Deployed Native App with routing functions |\n\nSimply confirm each prompt as the skill progresses. The skill handles all the complex setup automatically - creating databases, uploading files, building containers, and deploying the Native App.\n\nOnce complete, you'll see a success message with a direct link to your app:\n\n![Route Optimizer Installed Successfully](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/install-successful.png?v=fdbe6ac5)\n\n\u003C!-- ------------------------ --\u003E\n## Activate the App\n\nOnce deployment completes, Cortex Code will provide a link to your app. You need to:\n\n1. Navigate to **Data Products \u003E Apps \u003E OPENROUTESERVICE_NATIVE_APP** in Snowsight\n\n![Navigate to Apps](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/navigate-to-apps.png?v=fdbe6ac5)\n\n2. Click on the **OPENROUTESERVICE_NATIVE_APP** to open it\n\n![App Icon](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/app-icon.png?v=fdbe6ac5)\n\n3. Grant the required privileges and review external access\n\n![Grant Privileges](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/grant-privileges.png?v=fdbe6ac5)\n\nThe app requires these permissions to function:\n- **CREATE COMPUTE POOL**: Allows the app to create compute pools for running the OpenRouteService containers via Snowpark Container Services\n- **External access integration**: Required to download OpenStreetMap (OSM) data files from external sources during the initial setup\n\nClick **Grant** for Step 1. For Step 2, click **Review** to see the external endpoints, then click **Connect** to allow the connection.\n\n4. Once all privileges are granted, click **Activate** and wait a few minutes for the routing functions to install and the graphs to build\n\n\u003E **_NOTE:_** The activation time depends on your configuration:\n\u003E - **Map size**: Larger country or state maps take longer than city maps\n\u003E - **Vehicle profiles**: Each enabled profile (driving-car, cycling, walking, etc.) generates its own routing graph\n\u003E - **Resource scaling**: The compute pool size affects build speed\n\u003E\n\u003E The combination of map size and vehicle options determines the total number of graphs to build. A city map with 2 profiles will complete quickly, while a country map with 5+ profiles will take significantly longer.\n\nOnce activated, you'll see a **Launch app** button appear. Click it to open the Service Manager.\n\n### Service Manager\n\nThe Launch app button takes you to the **Service Manager** dashboard, which displays the status of each of the four services running:\n\n![Service Manager](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/service-manager.png?v=fdbe6ac5)\n\nThe Service Manager shows:\n- **Service Status Dashboard** - Overview of all running, stopped, and error states\n- **Individual Service Management** - Start/Stop controls for each service:\n  - **Data Downloader** - Downloads and updates map data\n  - **Open Route Service** - Core routing and directions engine\n  - **Routing Gateway** - API gateway for routing requests\n  - **VROOM Service** - Route optimization engine\n\nUse the **Start All** / **Stop All** buttons for bulk operations, or manage services individually. Click **Refresh Status** to update the dashboard.\n\n\u003E **_TIP:_** All 4 services should show ✅ RUNNING status before using the routing functions.\n\n\u003C!-- ------------------------ --\u003E\n## ORS Configuration\n\nThe Native App is configured via the `ors-config.yml` file which controls:\n\n**Map Source File**\n```yml\nors:\n  engine:\n    profile_default:\n      build:  \n        source_file: /home/ors/files/SanFrancisco.osm.pbf\n```\nThe default deployment uses San Francisco. When you customize the map region, this path is updated automatically.\n\n**Routing Profiles**\n\nThe configuration defines which routing profiles are available for routing:\n\n| Profile | Description | Default |\n|---------|-------------|---------|\n| `driving-car` | Standard passenger vehicle | ✅ Enabled |\n| `driving-hgv` | Heavy goods vehicle (trucks) | ✅ Enabled |\n| `cycling-road` | Road bicycle | ❌ Disabled |\n| `cycling-regular` | Regular bicycle | ❌ Disabled |\n| `cycling-mountain` | Mountain bicycle | ❌ Disabled |\n| `cycling-electric` | Electric bicycle | ✅ Enabled |\n| `foot-walking` | Pedestrian walking | ❌ Disabled |\n| `foot-hiking` | Hiking trails | ❌ Disabled |\n| `wheelchair` | Wheelchair accessible | ❌ Disabled |\n\n\u003E **_NOTE:_** Enabling more profiles increases graph build time and compute resource usage. The default configuration covers most delivery and logistics use cases.\n\n**Optimization Limits**\n\nThe config also controls route optimization capacity:\n```yml\n    matrix:\n      maximum_visited_nodes: 100000000\n      maximum_routes: 250000\n```\nThese settings support complex route optimizations with many vehicles and delivery points.\n\n\u003C!-- ------------------------ --\u003E\n## Function Tester\n\nThe Native App includes a built-in **Function Tester** Streamlit application for testing the routing functions interactively.\n\n![Function Tester](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/function-tester.png?v=fdbe6ac5)\n\nTo access the Function Tester:\n1. Open **Data Products \u003E Apps \u003E OPENROUTESERVICE_NATIVE_APP** in Snowsight\n2. Navigate to the **Function Tester** page in the app\n\nThe Function Tester allows you to test all four routing functions:\n\n**🗺️ DIRECTIONS**\n- Select start and end locations from preset addresses\n- Choose a routing profile (car, truck, bicycle)\n- View the calculated route on an interactive map\n- See step-by-step directions and distance/duration\n\n**🚚 OPTIMIZATION**\n- Configure multiple vehicles with different:\n  - Time windows (start/end hours)\n  - Capacity limits\n  - Skill sets (refrigeration, hazardous goods, etc.)\n- Add delivery jobs with:\n  - Locations\n  - Time windows\n  - Required skills\n- Run the optimization to see assigned routes per vehicle\n- View detailed itinerary for each vehicle\n\n**⏰ ISOCHRONES**\n- Select a center point location\n- Choose travel time in minutes\n- Generate a catchment polygon showing how far you can travel\n- Useful for delivery zone planning and coverage analysis\n\n**🗺️ TIME-DISTANCE MATRIX**\n- Calculate travel time and distance matrices between multiple locations\n\n\u003E **_TIP:_** The Function Tester comes pre-configured with San Francisco addresses and default vehicle profiles (car, HGV, electric bicycle). When you customize the deployment, the Function Tester is automatically updated with region-specific addresses and your enabled vehicle profiles.\n\n\u003C!-- ------------------------ --\u003E\n## SQL Function Reference\n\nAll routing functions are deployed as SQL functions inside the Native App and can be called directly from any Snowflake worksheet, notebook, or application. The functions live under `OPENROUTESERVICE_NATIVE_APP.CORE`.\n\n### Function Overview\n\n| Function | Signature | Returns | Description |\n|----------|-----------|---------|-------------|\n| `DIRECTIONS` | `(method VARCHAR, jstart ARRAY, jend ARRAY)` | `VARIANT` | Point-to-point directions |\n| `DIRECTIONS` | `(method VARCHAR, locations VARIANT)` | `VARIANT` | Multi-waypoint directions |\n| `ISOCHRONES` | `(method TEXT, lon FLOAT, lat FLOAT, range INT)` | `VARIANT` | Catchment area polygon |\n| `OPTIMIZATION` | `(jobs ARRAY, vehicles ARRAY, matrices ARRAY)` | `VARIANT` | Route optimization (tabular) |\n| `OPTIMIZATION` | `(challenge VARIANT)` | `VARIANT` | Route optimization (raw) |\n| `MATRIX` | `(method VARCHAR, locations ARRAY)` | `VARIANT` | Time-distance matrix (tabular) |\n| `MATRIX` | `(method VARCHAR, options VARIANT)` | `VARIANT` | Time-distance matrix (raw) |\n| `ORS_STATUS` | `()` | `VARIANT` | Service health and graph info |\n| `DIRECTIONS_GEO` | `(method VARCHAR, jstart ARRAY, jend ARRAY)` | `TABLE(RESPONSE, GEOJSON, DISTANCE, DURATION)` | Directions with GEOGRAPHY |\n| `DIRECTIONS_GEO` | `(method VARCHAR, locations VARIANT)` | `TABLE(RESPONSE, GEOJSON, DISTANCE, DURATION)` | Multi-waypoint with GEOGRAPHY |\n| `ISOCHRONES_GEO` | `(method TEXT, lon FLOAT, lat FLOAT, range INT)` | `TABLE(RESPONSE, GEOJSON)` | Isochrone with GEOGRAPHY |\n| `OPTIMIZATION_GEO` | `(jobs ARRAY, vehicles ARRAY, matrices ARRAY)` | `TABLE(RESPONSE, GEOJSON, VEHICLE, DURATION, STEPS)` | Optimization with GEOGRAPHY |\n| `OPTIMIZATION_GEO` | `(challenge VARIANT)` | `TABLE(RESPONSE, GEOJSON, VEHICLE, DURATION, STEPS)` | Optimization (raw) with GEOGRAPHY |\n\n### Base Functions — SQL Examples\n\n**Directions: Point-to-Point**\n\nCalculate a driving route between two coordinates (longitude, latitude):\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    [-122.4194, 37.7749],   -- start: [lon, lat]\n    [-122.4783, 37.8199]    -- end:   [lon, lat]\n) AS route;\n```\n\n**Directions: Multi-Waypoint**\n\nRoute through multiple stops by passing a `locations` object:\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS(\n    'driving-car',\n    OBJECT_CONSTRUCT('coordinates', \n        ARRAY_CONSTRUCT(\n            ARRAY_CONSTRUCT(-122.4194, 37.7749),   -- stop 1\n            ARRAY_CONSTRUCT(-122.4078, 37.7941),   -- stop 2\n            ARRAY_CONSTRUCT(-122.4783, 37.8199)    -- stop 3\n        )\n    )\n) AS route;\n```\n\n**Isochrones**\n\nGenerate a polygon showing the area reachable within 10 minutes of driving:\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES(\n    'driving-car',\n    -122.4194,   -- longitude\n    37.7749,     -- latitude\n    10           -- range in minutes\n) AS isochrone;\n```\n\n**Optimization: Tabular**\n\nMatch delivery jobs to vehicles using arrays of jobs and vehicles:\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION(\n    -- jobs: array of delivery tasks\n    [\n        {'id': 1, 'location': [-122.4194, 37.7749], 'service': 300},\n        {'id': 2, 'location': [-122.4078, 37.7941], 'service': 300},\n        {'id': 3, 'location': [-122.4350, 37.7609], 'service': 300}\n    ],\n    -- vehicles: array of available vehicles\n    [\n        {'id': 1, 'profile': 'driving-car', 'start': [-122.4177, 37.8080], 'end': [-122.4177, 37.8080], 'capacity': [4], 'time_window': [28800, 43200]},\n        {'id': 2, 'profile': 'driving-car', 'start': [-122.3950, 37.7785], 'end': [-122.3950, 37.7785], 'capacity': [4], 'time_window': [28800, 43200]}\n    ],\n    -- matrices (optional, empty array uses ORS to calculate)\n    []\n) AS optimized_routes;\n```\n\n**Optimization: Raw Variant**\n\nPass a full VROOM-compatible JSON challenge:\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION(\n    PARSE_JSON('{\n        \"jobs\": [\n            {\"id\": 1, \"location\": [-122.4194, 37.7749], \"service\": 300},\n            {\"id\": 2, \"location\": [-122.4078, 37.7941], \"service\": 300}\n        ],\n        \"vehicles\": [\n            {\"id\": 1, \"profile\": \"driving-car\", \"start\": [-122.4177, 37.8080], \"end\": [-122.4177, 37.8080], \"capacity\": [4]}\n        ]\n    }')\n) AS optimized_routes;\n```\n\n**Matrix: Tabular**\n\nCalculate the time and distance matrix between multiple locations:\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.MATRIX(\n    'driving-car',\n    ARRAY_CONSTRUCT(\n        ARRAY_CONSTRUCT(-122.4194, 37.7749),\n        ARRAY_CONSTRUCT(-122.4078, 37.7941),\n        ARRAY_CONSTRUCT(-122.4783, 37.8199)\n    )\n) AS matrix;\n```\n\n**Matrix: Raw Variant**\n\nPass full matrix options for advanced control (sources, destinations, metrics):\n\n```sql\nSELECT OPENROUTESERVICE_NATIVE_APP.CORE.MATRIX(\n    'driving-car',\n    PARSE_JSON('{\n        \"locations\": [[-122.4194, 37.7749], [-122.4078, 37.7941], [-122.4783, 37.8199]],\n        \"metrics\": [\"distance\", \"duration\"],\n        \"resolve_locations\": true,\n        \"sources\": [0],\n        \"destinations\": [1, 2]\n    }')\n) AS matrix;\n```\n\n### GeoFunctions — Native GEOGRAPHY Output\n\nThe `_GEO` functions are **SQL wrappers** around the base functions above. All they do is:\n\n1. Call the base function (e.g. `DIRECTIONS`)\n2. Use `TO_GEOGRAPHY()` to parse the GeoJSON geometry from the VARIANT response into a native Snowflake `GEOGRAPHY` column\n3. Extract key summary fields (distance, duration, vehicle ID, etc.) into their own columns\n\n**Why this matters:** The base functions return a single `VARIANT` column where the route geometry is buried inside `response:features[0]:geometry`. The GeoFunctions extract that geometry into a dedicated `GEOJSON GEOGRAPHY` column for user convenience.\n\n**DIRECTIONS_GEO: Point-to-Point**\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS_GEO(\n    'driving-car',\n    [-122.4194, 37.7749],\n    [-122.4783, 37.8199]\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n```\n\n**DIRECTIONS_GEO: Multi-Waypoint**\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS_GEO(\n    'driving-car',\n    OBJECT_CONSTRUCT('coordinates',\n        ARRAY_CONSTRUCT(\n            ARRAY_CONSTRUCT(-122.4194, 37.7749),\n            ARRAY_CONSTRUCT(-122.4078, 37.7941),\n            ARRAY_CONSTRUCT(-122.4783, 37.8199)\n        )\n    )\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), DISTANCE (float, meters), DURATION (float, seconds)\n```\n\n**ISOCHRONES_GEO**\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES_GEO(\n    'driving-car',\n    -122.4194,\n    37.7749,\n    10\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography)\n```\n\n**OPTIMIZATION_GEO: Tabular**\n\nReturns one row per vehicle route with the route geometry as a `GEOGRAPHY` LineString:\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION_GEO(\n    [\n        {'id': 1, 'location': [-122.4194, 37.7749], 'service': 300},\n        {'id': 2, 'location': [-122.4078, 37.7941], 'service': 300},\n        {'id': 3, 'location': [-122.4350, 37.7609], 'service': 300}\n    ],\n    [\n        {'id': 1, 'profile': 'driving-car', 'start': [-122.4177, 37.8080], 'end': [-122.4177, 37.8080], 'capacity': [4], 'time_window': [28800, 43200]},\n        {'id': 2, 'profile': 'driving-car', 'start': [-122.3950, 37.7785], 'end': [-122.3950, 37.7785], 'capacity': [4], 'time_window': [28800, 43200]}\n    ],\n    []\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n```\n\n**OPTIMIZATION_GEO: Raw Variant**\n\n```sql\nSELECT * FROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.OPTIMIZATION_GEO(\n    PARSE_JSON('{\n        \"jobs\": [\n            {\"id\": 1, \"location\": [-122.4194, 37.7749], \"service\": 300},\n            {\"id\": 2, \"location\": [-122.4078, 37.7941], \"service\": 300}\n        ],\n        \"vehicles\": [\n            {\"id\": 1, \"profile\": \"driving-car\", \"start\": [-122.4177, 37.8080], \"end\": [-122.4177, 37.8080], \"capacity\": [4]}\n        ]\n    }')\n));\n-- Returns: RESPONSE (variant), GEOJSON (geography), VEHICLE (int), DURATION (int), STEPS (variant)\n```\n\n### Geospatial Integration Patterns\n\nOnce you have `GEOGRAPHY` columns from the Geofunctions, you can chain them with Snowflake's built-in geospatial functions:\n\n**Route length in kilometers:**\n\n```sql\nSELECT\n    ST_LENGTH(GEOJSON) / 1000 AS route_length_km,\n    DISTANCE / 1000 AS ors_distance_km,\n    DURATION / 60 AS duration_minutes\nFROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.DIRECTIONS_GEO(\n    'driving-car', [-122.4194, 37.7749], [-122.4783, 37.8199]\n));\n```\n\n**Isochrone area in square kilometers:**\n\n```sql\nSELECT\n    ST_AREA(GEOJSON) / 1000000 AS catchment_area_sq_km\nFROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES_GEO(\n    'driving-car', -122.4194, 37.7749, 15\n));\n```\n\n**Check if a point falls within an isochrone:**\n\n```sql\nSELECT\n    ST_WITHIN(\n        ST_MAKEPOINT(-122.4078, 37.7941),\n        GEOJSON\n    ) AS is_reachable\nFROM TABLE(OPENROUTESERVICE_NATIVE_APP.CORE.ISOCHRONES_GEO(\n    'driving-car', -122.4194, 37.7749, 10\n));\n```\n\n\u003C!-- ------------------------ --\u003E\n## Customize Your Deployment\n\nThe default deployment uses San Francisco with standard routing profiles. You can customize **two key areas** for the ORS Native App:\n\n| Customization | Default | Example Custom |\n|---------------|---------|----------------|\n| 🗺️ **Map Region** | San Francisco | Paris, London, Tokyo, etc. |\n| 🚚 **Routing Profiles** | Car, HGV, Electric Bicycle | Add walking, wheelchair, road bicycle |\n\n\u003E **_NOTE:_** This step is optional. If you skip customization, the Native App will use the San Francisco defaults.\n\n### ORS Customization Skills\n\n```\n.cortex/skills/customize-main/\n├── location.md           ← Customize map\n└── routing-profiles.md   ← Customize routing profile\n...  \n```\n\nTo customize, run:\n\n```\n$customize-main\n```\n\n### How the Customization Works\n\nThe main `$customize-main` skill orchestrates the process by asking **two questions**, then runs only the relevant sub-skills:\n\n1. **\"Do you want to customize the LOCATION (map region)?\"**\n   - If YES → Runs `$customize-main/location` `\n   - If NO → Skips map download entirely\n\n2. **\"Do you want to customize ROUTING PROFILES (vehicle types)?\"**\n   - If YES → Runs `$customize-main/routing-profiles`\n   - If NO → Keeps default profiles (car, HGV, electric bicycle)\n\n### Example: Customizing to Paris\n\nLet's try changing the location to Paris. In Cortex Code, simply type:\n\n```\n$customize-main\n```\n\nthen select location: Paris as part of the workflow.\n\nCortex Code will find the appropriate skill and guide you through the process:\n\n**Step 1: Location Change**\n- Cortex Code downloads the Paris (or Île-de-France) map from Geofabrik\n- Uploads the OpenStreetMap data to Snowflake\n- Updates `ors-config.yml` with the new map path\n\n**Step 2: Routing Profiles**\n- Choose which routing profiles to enable for Paris:\n  - `driving-car` - Standard passenger vehicle ✅\n  - `driving-hgv` - Heavy goods vehicle (trucks) ✅\n  - `cycling-electric` - Electric bicycles ✅\n  - `foot-walking` - Pedestrian (optional)\n  - `wheelchair` - Wheelchair accessible (optional)\n\n**Step 3: Function Tester Update**\n- Updates Function Tester with Paris addresses\n- Updates available vehicle profiles dropdown to match your configuration\n\n**Step 4: Build Graphs**\n- Services restart to update routing graphs for Paris\n- Changes are applied directly to your local files\n\nOnce the customization completes, Cortex Code shows a summary of everything that was updated:\n\n![Location Customization Complete](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/location-customization-complete.png?v=fdbe6ac5)\n\nThe summary confirms:\n1. ✅ **Map downloaded** - The Île-de-France map for the Paris region\n2. ✅ **Config updated** - `ors-config.yml` now points to the new map file\n3. ✅ **Service spec updated** - Volume paths configured for Paris\n4. ✅ **Services resumed** - ORS_SERVICE is rebuilding routing graphs (this takes 15-30 minutes depending on map size)\n5. ✅ **Streamlit updated** - Default location changed to \"Eiffel Tower, Paris\"\n\n**⏳ Wait for Services to Restart**\n\nAfter the map is uploaded (if location was changed) or profiles were modified (if vehicles were changed), the services need to update the routing graphs. You can monitor progress in the Service Manager:\n\n1. Navigate to **Data Products \u003E Apps \u003E OPENROUTESERVICE_NATIVE_APP**\n2. Check the **Service Manager** - all 4 services should show ✅ RUNNING\n3. The **Open Route Service** will take the longest as it builds the graph files\n\nOnce services are running, the Function Tester will show **Paris addresses** instead of San Francisco!\n\n![New Location Complete](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/new-location-complete.png?v=fdbe6ac5)\n\nYou can now test the routing functions with Paris addresses. Here's an example of testing the **ISOCHRONES** function to calculate a 15-minute driving catchment area from the Eiffel Tower:\n\n![Test Isochrones Paris](https://publish-p57963-e462098.adobeaemcloud.com/content/dam/snowflake-site/developers/guides/oss-install-openrouteservice-native-app/test-isochrones-paris.png?v=fdbe6ac5)\n\n\u003E **_TIP:_** If you only want to enable additional vehicle profiles (and keep San Francisco), answer NO to location. This skips map download entirely - making it much faster!\n\n### Map Download & Resource Scaling (Location Changes Only)\n\nIf you selected YES to location customization, the skill downloads OpenStreetMap data from Geofabrik or BBBike. The bigger the map file, the longer it takes to:\n- **Download** the OSM data from the source\n- **Upload** to the Snowflake stage\n- **Generate graph files** for route calculations\n\n| Map Size | Example Regions | Download Time | Graph Build Time | \n|----------|-----------------|---------------|------------------|\n| \u003C 100MB | San Francisco, Zurich | Minutes | 5-15 minutes |\n| 100MB - 1GB | New York State, Switzerland | 10-30 minutes | 30-60 minutes |\n| 1-5GB | Germany, France, California | 30-60 minutes | 1-3 hours |\n| \u003E 5GB | Great Britain, entire countries | 1-2 hours | 3-8+ hours |\n\n\u003E **_IMPORTANT:_** For country-wide or large region maps, graph generation can take **several hours**. The services will show as \"running\" while building graphs in the background.\n\n**Automatic Compute Scaling**\n\nCortex Code will detect the map size after download and offer to **resize the compute pool** to speed up graph generation:\n\n| Map Size | Suggested Compute | Auto-Suspend Extension |\n|----------|-------------------|------------------------|\n| \u003C 1GB | CPU_X64_S (default) | 1 hour |\n| 1-5GB | HIGHMEM_X64_M | 8 hours |\n| \u003E 5GB | HIGHMEM_X64_M | 24 hours |\n\nWhen prompted, you can accept the scaling recommendation to ensure graphs are computed as quickly as possible. The extended auto-suspend time prevents the service from shutting down mid-build.\n\n\u003E **_TIP:_** For quickest results, use the smallest map that covers your use case. A city-level map (e.g., New York) builds much faster than a country map (e.g., USA).\n\n**Routing Profile Configuration**\n\nThe skill presents available routing profiles and lets you enable/disable them:\n\n| Profile | Category | Description |\n|---------|----------|-------------|\n| `driving-car` | Driving | Standard passenger vehicle |\n| `driving-hgv` | Driving | Heavy goods vehicles (trucks) |\n| `cycling-regular` | Cycling | Standard bicycles |\n| `cycling-road` | Cycling | Road bicycles |\n| `cycling-mountain` | Cycling | Mountain bicycles |\n| `cycling-electric` | Cycling | Electric bicycles |\n| `foot-walking` | Foot | Pedestrian walking |\n| `foot-hiking` | Foot | Hiking trails |\n| `wheelchair` | Wheelchair | Wheelchair accessible routes |\n\n\u003E **_NOTE:_** Enabling more profiles increases graph build time. The default (driving-car, driving-hgv, cycling-electric) covers most logistics use cases.\n\n**Function Tester Customization**\n\nThe skill automatically updates the **Function Tester Streamlit** with:\n\n**Region-specific sample addresses:**\n   - Start locations (5 landmarks/city centers)\n   - End locations (5 different destinations)\n   - Waypoints (20 locations across the region)\n\n**Vehicle profiles dropdown:**\n- Updated to show only your enabled profiles\n- Matches the profiles configured in `ors-config.yml`\n\nThis ensures test addresses are valid for your map region and vehicle options match your configuration.\n\n\u003E **_TIP:_** Customizations modify your local files directly. If you want to preserve the original San Francisco configuration, make a backup before customizing.\n\nOnce your services are running with the new map (or if you skipped customization), you're ready to deploy the demo!\n\n\u003C!-- ------------------------ --\u003E\n## Next Steps\n\n🎉 **Congratulations!** Your Routing Solution is now installed and configured.\n\nTo deploy the Route Optimization demo with real-world POI data and interactive notebooks, continue to the next quickstart:\n👉 **[Deploy Route Optimization Demo](../oss-deploy-route-optimization-demo/)**\n\nThe demo quickstart will:\n- Acquire the **Carto Overture Maps Places** dataset with 50+ million POIs worldwide\n- Deploy interactive **AISQL notebooks** to explore routing functions\n- Create the **Route Optimization Simulator** Streamlit app\n\nAll demo content will use your configured map region (San Francisco by default, or your customized region like Paris).\n\n\u003C!-- ------------------------ --\u003E\n## Uninstall the Route Optimizer\n\nCortex Code makes uninstallation simple with natural language commands.\n\n### Uninstall demo\n\nTo remove the Snowflake objects installed as part of the demo you can type in Cortex Code CLI:\n\n```\nuninstall all Snowflake objects created as part of skill $build-routing-solution\n```\n\nThis will:\n- Remove the Native App (`OPENROUTESERVICE_NATIVE_APP`)\n- Drop the Application Package (`OPENROUTESERVICE_NATIVE_APP_PKG`)\n- Delete the setup database (`OPENROUTESERVICE_SETUP`) including all stages and image repository\n- Optionally remove local container images\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion and Resources\n### Conclusion\n\nYou've just deployed a **self-contained routing solution** in Snowflake using natural language commands - no complex configuration files, no external API dependencies, and no data leaving your Snowflake environment.\n\nThis solution demonstrates the power of combining:\n- **Cortex Code** - AI-powered CLI that turns natural language into automated workflows\n- **Snowpark Container Services** - Running OpenRouteService as a self-managed Native App\n- **Native App Functions** - SQL-callable routing functions for directions, optimization, isochrones, and time-distance matrix\n\nThe key advantage of this approach is **flexibility without complexity**. Want to switch from San Francisco to Paris? Just run the location customization skill. Need to add walking or cycling routes? Enable additional routing profiles. The skill-based approach means you only run the steps you need.\n\n### What You Learned\n\n- **Deploy Native Apps with Cortex Code** - Use natural language skills to automate complex Snowflake deployments including container services, stages, and compute pools\n\n- **Self-Managed Route Optimization** - Run OpenRouteService entirely within Snowflake with no external API calls, giving you unlimited routing requests and complete data privacy\n\n- **Flexible Customization** - Use skills to customize location (any city in the world) and vehicle types (car, HGV, bicycle, walking)\n\n- **Four Routing Functions:**\n    - **Directions** - Point-to-point and multi-waypoint routing\n    - **Optimization** - Match delivery jobs to vehicles based on time windows, capacity, and skills\n    - **Isochrones** - Generate catchment polygons showing reachable areas\n    - **Time-Distance Matrix** - Calculate travel time and distance matrices between multiple locations\n\n- **GeoFunctions for Geospatial Analysis** - Use `_GEO` variants (`DIRECTIONS_GEO`, `ISOCHRONES_GEO`, `OPTIMIZATION_GEO`) that wrap the base functions and return native `GEOGRAPHY` columns — no manual JSON parsing needed\n\n### Next Steps\n\nDeploy the demo to see the routing functions in action with real-world POI data:\n\n👉 **[Deploy Route Optimization Demo](../oss-deploy-route-optimization-demo/)**\n\n### Related Resources\n\n#### Source code\n\n- [Source Code on Github](https://github.com/Snowflake-Labs/sfguide-Create-a-Route-Optimisation-and-Vehicle-Route-Plan-Simulator)\n\n### Related Quickstarts\n- [Deploy Route Optimization Demo](https://www.snowflake.com/en/developers/guides/oss-deploy-route-optimization-demo/) - Build a visual route optimization simulator\n- [Retail Catchment Analysis with Overture Maps](https://www.snowflake.com/en/developers/guides/oss-retail-catchment-overture-maps/) - Build an interactive retail catchment analysis tool using real-world POI data - powered by OpenRouteService in Snowflake\n- [Deploy Fleet Intelligence Solution for Taxis](https://www.snowflake.com/en/developers/guides/oss-deploy-a-fleet-intelligence-solution-for-taxis/) - Track and analyze taxi fleet operations\n- [Deploy Snowflake Intelligence Routing Agent](https://www.snowflake.com/en/developers/guides/oss-deploy-snowflake-intelligence-routing-agent/) - Build an AI-powered route planning assistant that understands natural language locations - powered by OpenRouteService and Snowflake Intelligence\n\n#### OpenRouteService Resources\n\n- [OpenRouteService Official Website](https://openrouteservice.org/) - Documentation, API reference, and community resources\n- [OpenRouteService on GitHub](https://github.com/GIScience/openrouteservice) - Source code and technical documentation\n- [VROOM Project](https://github.com/VROOM-Project/vroom) - Vehicle Routing Open-source Optimization Machine powering route optimization\n\n#### Cortex Code\n\n- [Cortex Code](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) - Snowflake's AI-powered CLI and agentic interface\n- [Snowflake Native Apps](https://docs.snowflake.com/en/developer-guide/native-apps/native-apps-about) - Build and distribute applications within Snowflake\n\n#### Map Data Sources\n\n- [Geofabrik Downloads](https://download.geofabrik.de/) - Country and region OpenStreetMap extracts\n- [BBBike Extracts](https://extract.bbbike.org/) - City-specific OpenStreetMap extracts for faster processing","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"title":"Quickstart Article Logo Image","dataType":"string","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-3aa311b11a","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-4ae6dbf91e",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-d433a591f5","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-03-09",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-28feacc2af","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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