Jira Service Desk

Work with Jira Service Desk-specific entities, such as requests.

Integrate the Jira Service Desk API with the Snowflake API

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

Create Comment on Request with Jira Service Desk API on New Row from Snowflake API
Snowflake + Jira Service Desk
 
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Create Request with Jira Service Desk API on New Row from Snowflake API
Snowflake + Jira Service Desk
 
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Create Comment on Request with Jira Service Desk API on New Query Results from Snowflake API
Snowflake + Jira Service Desk
 
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Create Request with Jira Service Desk API on New Query Results from Snowflake API
Snowflake + Jira Service Desk
 
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Create Comment on Request with Jira Service Desk API on Failed Task in Schema from Snowflake API
Snowflake + Jira Service Desk
 
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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 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 Request Created from the Jira Service Desk API

Emit new event when a customer request is created. See the documentation

 
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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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Request Status Updated from the Jira Service Desk API

Emit new event when a customer request is updated. See the documentation

 
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Create Comment on Request with the Jira Service Desk API

Create a comment on a customer request. See the documentation

 
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Create Request with the Jira Service Desk API

Creates a new customer request. 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 Jira Service Desk

The Jira Service Desk API allows you to interact programmatically with your support ticket system, enabling the creation, updating, and management of tickets, customers, and service desk configurations. With Pipedream's integration, you can automate workflows by connecting Jira Service Desk to hundreds of other apps, listen to webhooks for real-time triggers, and execute custom logic.

Connect Jira Service Desk

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jira_service_desk: {
      type: "app",
      app: "jira_service_desk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.atlassian.com/me`,
      headers: {
        Authorization: `Bearer ${this.jira_service_desk.$auth.oauth_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

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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
  },
})