Integrate the Snowflake API with the Schedule API

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

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Popular Ways to Connect Snowflake with Schedule#

Execute Query with Snowflake API on Custom Interval from Schedule API

Schedule + Snowflake

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Execute Query with Snowflake API on Daily schedule from Schedule API

Schedule + Snowflake

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Execute Query with Snowflake API on Monthly Schedule from Schedule API

Schedule + Snowflake

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Execute Query with Snowflake API on Weekly schedule from Schedule API

Schedule + Snowflake

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Insert Multiple Rows with Snowflake API on Custom Interval from Schedule API

Schedule + Snowflake

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Popular Snowflake and Schedule Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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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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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Popular Snowflake and Schedule Actions#

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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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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Query SQL Database with the Snowflake API

Execute a SQL Query. See our docs to learn more about working with SQL in Pipedream.

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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: [],
    });
  },
});

Overview of Schedule#

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.

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