Jira
Jira is the #1 agile project management tool used by teams to plan, track, release, and support great software with confidence
Integrate the Jira API with the Snowflake API
Setup the Jira API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Jira and Snowflake remarkably fast. Free for developers.
Popular Jira and Snowflake Triggers#
Popular Jira and Snowflake Actions#
Adds multiple attachments to an issue, See the docs
Adds a user as a watcher of an issue by passing the account ID of the user, For example, 5b10ac8d82e05b22cc7d4ef5, If no user is specified the calling user is added. See the docs
Overview of Jira#
The Jira API opens up a world of possibilities for automating project management tasks, syncing with other tools, and enhancing data visibility. With Pipedream's integration, you can streamline issue tracking by automatically creating, updating, and searching for issues in Jira, as well as managing projects, sprints, users, and more. This integration not only saves time but also ensures real-time data flow across various platforms, keeping teams in sync and projects on track.
Connect Jira#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jira: {
type: "app",
app: "jira",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.atlassian.com/me`,
headers: {
Authorization: `Bearer ${this.jira.$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#
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
},
})