Integrate the Mapulus API with the Snowflake API

Setup the Mapulus API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Mapulus and Snowflake remarkably fast. Free for developers.

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Popular Ways to Connect Mapulus with Snowflake#

Create Location with Mapulus API on New Row from Snowflake API

Snowflake + Mapulus

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Update Location with Mapulus API on New Row from Snowflake API

Snowflake + Mapulus

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Create Location with Mapulus API on New Query Results from Snowflake API

Snowflake + Mapulus

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Update Location with Mapulus API on New Query Results from Snowflake API

Snowflake + Mapulus

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Execute Query with Snowflake API on New Location Added from Mapulus API

Mapulus + Snowflake

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Popular Mapulus and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Location Added from the Mapulus API

Emit new event when a new location is added.

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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New Map Added from the Mapulus API

Emit new event when a new map is added.

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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Popular Mapulus and Snowflake Actions#

Create Location with the Mapulus API

Create a new location in Mapulus. See the documentation

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Update Location with the Mapulus API

Updates an existing location in Mapulus. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Mapulus#

Mapulus API enables you to integrate advanced mapping, routing, and geospatial capabilities into your applications. With Pipedream, you can create powerful workflows that leverage the Mapulus API to automate tasks such as generating optimized routes, geocoding addresses, or analyzing geographic data. By connecting Mapulus to other apps available on Pipedream, you can enrich your business processes, enhance data analytics, or create dynamic location-based services without writing code.

Connect Mapulus#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mapulus: {
      type: "app",
      app: "mapulus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mapulus.com/api/v1/maps`,
      headers: {
        Authorization: `Bearer ${this.mapulus.$auth.api_key}`,
      },
    })
  },
})

Overview of Snowflake#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake#

import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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