Integrate the Hive API with the Snowflake API

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

Popular Ways to Connect Hive with Snowflake#

Create Action For Project with Hive API on New Row from Snowflake API

Snowflake + Hive

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Create Action For Workspace with Hive API on New Row from Snowflake API

Snowflake + Hive

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Create Action For Project with Hive API on New Query Results from Snowflake API

Snowflake + Hive

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Create Action For Workspace with Hive API on New Query Results from Snowflake API

Snowflake + Hive

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Create Action For Project with Hive API on Failed Task in Schema from Snowflake API

Snowflake + Hive

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Popular Hive 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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New Action Created from the Hive API

Emit new event when a new action is created.

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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 Action Updated from the Hive API

Emit new event when an action is updated.

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Popular Hive and Snowflake Actions#

Create Action For Project with the Hive API

Create an action for given project See the documentation

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Create Action For Workspace with the Hive API

Create an action for given workspace 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 Hive#

The Hive API allows for robust interaction with Hive's project and team management tools. By leveraging the Hive API within Pipedream, you can automate tasks, sync data across platforms, and create custom workflows that enhance productivity. For instance, you could automate project creation, update task statuses, or sync information to other business tools. Pipedream's serverless platform simplifies integration, enabling you to focus on crafting workflows without worrying about infrastructure.

Connect Hive#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hive: {
      type: "app",
      app: "hive",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.hive.com/api/v1/users`,
      params: {
        api_key: `${this.hive.$auth.api_key}`,
        user_id: `${this.hive.$auth.user_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 { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})