Integrate the DeployHQ API with the Snowflake API

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

Popular Ways to Connect DeployHQ with Snowflake#

Insert Multiple Rows with Snowflake API on New Deploy Complete from DeployHQ API

DeployHQ + Snowflake

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Insert Multiple Rows with Snowflake API on New Deploy Failed from DeployHQ API

DeployHQ + Snowflake

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Insert Multiple Rows with Snowflake API on New Deploy Started from DeployHQ API

DeployHQ + Snowflake

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Insert Row with Snowflake API on New Deploy Complete from DeployHQ API

DeployHQ + Snowflake

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Insert Row with Snowflake API on New Deploy Failed from DeployHQ API

DeployHQ + Snowflake

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Popular DeployHQ and Snowflake Triggers#

New Deploy Complete from the DeployHQ API

Emit new event when a deploy is completed

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New Row from the Snowflake API

Emit new event when a row is added to a table

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New Deploy Failed from the DeployHQ API

Emit new event when a deploy fails

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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 Deploy Started from the DeployHQ API

Emit new event when a deploy starts

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Popular DeployHQ and Snowflake Actions#

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 DeployHQ#

DeployHQ is a service that automates the deployment of your web applications. By integrating with version control systems, DeployHQ can automatically deploy code changes to various environments. Using the DeployHQ API on Pipedream, you can orchestrate deployments, manage your projects, and synchronize deployment activities with other tools in your toolchain. It opens up possibilities for custom deployment workflows, notifications, monitoring, and more, all connected within the Pipedream ecosystem.

Connect DeployHQ#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deployhq: {
      type: "app",
      app: "deployhq",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.deployhq.$auth.account_name}.deployhq.com/projects`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.deployhq.$auth.email}`,
        password: `${this.deployhq.$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 { 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
  },
})