Integrate the Seqera API with the Snowflake API

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

Popular Ways to Connect Seqera with Snowflake#

Create Compute Environment with Seqera API on New Row from Snowflake API

Snowflake + Seqera

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Create Pipeline Action with Seqera API on New Row from Snowflake API

Snowflake + Seqera

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Create Pipeline with Seqera API on New Row from Snowflake API

Snowflake + Seqera

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Create Compute Environment with Seqera API on New Query Results from Snowflake API

Snowflake + Seqera

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Create Pipeline Action with Seqera API on New Query Results from Snowflake API

Snowflake + Seqera

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Popular Seqera 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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Run Created from the Seqera API

Emit new event when a new run is created in Seqera. See the documentation

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Seqera and Snowflake Actions#

Create Compute Environment with the Seqera API

Creates a new compute environment in Seqera Tower. See the documentation

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Create Pipeline with the Seqera API

Creates a new pipeline in a user context. See the documentation

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Create Pipeline Action with the Seqera API

Creates a new pipeline action in Seqera. 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 Seqera#

The Seqera API serves as a connection point for handling complex data pipeline and workflow orchestration tasks within the life sciences domain. With this API, you can manage workflows, monitor pipeline executions, and control job submissions. Leveraging Pipedream, you can seamlessly integrate Seqera with various services to automate processes, react to pipeline events, or synchronize data across platforms, thus enhancing efficiency in bioinformatics analysis.

Connect Seqera#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    seqera: {
      type: "app",
      app: "seqera",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tower.nf/user-info`,
      headers: {
        Authorization: `Bearer ${this.seqera.$auth.api_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
  },
})