Integrate the Phrase API with the Snowflake API

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

Popular Ways to Connect Phrase with Snowflake#

Insert Multiple Rows with Snowflake API on New Job Completed (Instant) from Phrase API

Phrase + Snowflake

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Insert Multiple Rows with Snowflake API on New Job Created (Instant) from Phrase API

Phrase + Snowflake

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Insert Multiple Rows with Snowflake API on New Job Started (Instant) from Phrase API

Phrase + Snowflake

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Insert Row with Snowflake API on New Job Completed (Instant) from Phrase API

Phrase + Snowflake

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Insert Row with Snowflake API on New Job Created (Instant) from Phrase API

Phrase + Snowflake

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Popular Phrase and Snowflake Triggers#

New Job Completed (Instant) from the Phrase API

Emit new event when each job 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 Job Created (Instant) from the Phrase API

Emit new event when each job is created.

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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 Job Started (Instant) from the Phrase API

Emit new event when each job is started.

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Popular Phrase 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 Phrase#

The Phrase API provides a suite of tools for CRM (Customer Relationship Management) to manage and nurture customer interactions and data throughout the customer lifecycle. Using Pipedream, developers can create automated workflows that tap into the power of the Phrase API to streamline communication, manage leads, and enhance customer relationships. With Pipedream's no-code platform, these workflows can trigger on events, process data, and connect to hundreds of other services for a wide array of use cases.

Connect Phrase#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    phrase: {
      type: "app",
      app: "phrase",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.phrase.com/v2/projects`,
      headers: {
        "Authorization": `token ${this.phrase.$auth.access_token}`,
      },
    })
  },
})

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
  },
})