Integrate the Wrike API with the Snowflake API

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

Popular Ways to Connect Wrike with Snowflake#

Update Task Custom Fields with Wrike API on New Row from Snowflake API

Snowflake + Wrike

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Wrike: Create Task with Wrike API on New Row from Snowflake API

Snowflake + Wrike

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Update Task Custom Fields with Wrike API on New Query Results from Snowflake API

Snowflake + Wrike

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Wrike: Create Task with Wrike API on Query Results from Snowflake API

Snowflake + Wrike

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Insert Multiple Rows with Snowflake API on New Folder Created from Wrike API

Wrike + Snowflake

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Popular Wrike and Snowflake Triggers#

New Folder Created from the Wrike API

Emit new event when a folder is created

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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 Subtask Created from the Wrike API

Emit new event when a subtask 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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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Popular Wrike and Snowflake Actions#

New Task with the Wrike API

Create a Wrike task under a specified folder ID. See the docs

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Update Task Custom Fields with the Wrike API

Update the custom fields for a task. See the docs

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Wrike#

Wrike API on Pipedream exposes the robust task and project management features of Wrike, enabling you to automate workflows across various apps and services. With it, you can programmatically access and manipulate tasks, folders, projects, and users within Wrike. This API lends itself to a multitude of automation possibilities, like synchronizing project updates across platforms, streamlining notifications and reporting, or even managing resource allocation based on project workload.

Connect Wrike#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wrike: {
      type: "app",
      app: "wrike",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.wrike.$auth.host}/api/v4/contacts`,
      headers: {
        Authorization: `Bearer ${this.wrike.$auth.oauth_access_token}`,
      },
      params: {
        me: `true`,
      },
    })
  },
})

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
  },
})