Integrate the Streamtime API with the Snowflake API

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

Popular Ways to Connect Streamtime with Snowflake#

Create Contact with Streamtime API on New Row from Snowflake API

Snowflake + Streamtime

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Create Job with Streamtime API on New Row from Snowflake API

Snowflake + Streamtime

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Update To-Do with Streamtime API on New Row from Snowflake API

Snowflake + Streamtime

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Create Contact with Streamtime API on New Query Results from Snowflake API

Snowflake + Streamtime

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Create Job with Streamtime API on New Query Results from Snowflake API

Snowflake + Streamtime

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Popular Streamtime 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 Job Created from the Streamtime API

Emit new event when a new job 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 To Do Created from the Streamtime API

Emit new event when a new To Do is created

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Popular Streamtime and Snowflake Actions#

Create Contact with the Streamtime API

Create a new contact in Streamtime. See the documentation.

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Create Job with the Streamtime API

Create a new job in Streamtime. See the documentation.

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Update To-Do with the Streamtime API

Update an existing To Do in Streamtime. See the documentation.

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Streamtime#

The Streamtime API allows you to interact with the Streamtime project management platform, streamlining operations such as task management, time tracking, and project planning. On Pipedream, you can leverage this API to create automated workflows that integrate with various other services, trigger actions based on events, and sync data across apps. It's about connecting Streamtime's capabilities with other tools you use for a seamless project management experience.

Connect Streamtime#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    streamtime: {
      type: "app",
      app: "streamtime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.streamtime.net/v1/users`,
      headers: {
        Authorization: `Bearer ${this.streamtime.$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
  },
})