Integrate the SheetDB API with the Snowflake API

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

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Popular Ways to Connect SheetDB with Snowflake#

Create Rows with SheetDB API on New Row from Snowflake API

Snowflake + SheetDB

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Delete Rows with SheetDB API on New Row from Snowflake API

Snowflake + SheetDB

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Get Column Names with SheetDB API on New Row from Snowflake API

Snowflake + SheetDB

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Search Content with SheetDB API on New Row from Snowflake API

Snowflake + SheetDB

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Update Rows with SheetDB API on New Row from Snowflake API

Snowflake + SheetDB

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Popular SheetDB 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 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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular SheetDB and Snowflake Actions#

Create Rows with the SheetDB API

Create rows in a Google Sheet using the SheetDB API. See the documentation

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Delete Rows with the SheetDB API

Deletes the specified row(s) in a SheetDB sheet by matching a column name and value. See the documentation

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Get Column Names with the SheetDB API

Get column names of a Google Sheet using the SheetDB API. 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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Search Content with the SheetDB API

Search for content in a Google Sheet using the SheetDB API. See the documentation

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Overview of SheetDB#

SheetDB API turns your Google Sheets into a JSON API, enabling you to manage the content within your spreadsheet through RESTful endpoints. With Pipedream, you can harness this capability to build robust automations and workflows that interact with your spreadsheet data dynamically. Whether you're updating rows based on external triggers, syncing data to other platforms, or building a makeshift CRM, SheetDB paired with Pipedream's zero-management execution environment lets you deploy these solutions rapidly.

Connect SheetDB#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sheetdb: {
      type: "app",
      app: "sheetdb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://sheetdb.io/api/v1/${this.sheetdb.$auth.api_id}`,
    })
  },
})

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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