Shopify Partner
Shopify Partner API connection. Listen to events like installs, uninstalls, charges & transactions.
Integrate the Shopify Partner API with the Snowflake API
Setup the Shopify Partner API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Shopify Partner and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Shopify Partner with Snowflake#
Popular Shopify Partner and Snowflake Triggers#
Emit new events when new app charges made to your partner account.
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new events when new shops installs, uninstalls, subscribes or unsubscribes your app.
Popular Shopify Partner and Snowflake Actions#
Overview of Shopify Partner#
The Shopify Partner API lets you tap into a comprehensive suite of features to manage and analyze multiple Shopify stores. You can automate tasks like creating development stores, adding collaborators, tracking payouts, and more. This API serves as a powerful tool for developers, agencies, and freelancers who manage multiple Shopify shops for their clients. Through Pipedream, you can effortlessly integrate Shopify Partner API with other services to create tailored, efficient workflows that save time and enhance productivity.
Connect Shopify Partner#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
shopify_partner: {
type: "app",
app: "shopify_partner",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://partners.shopify.com/${this.shopify_partner.$auth.organization_id}/api/2021-07/graphql.json`,
headers: {
'X-Shopify-Access-Token': this.shopify_partner.$auth.api_key,
'Content-Type': 'application/x-www-form-urlencoded'
},
method: 'POST',
params: {
query: `{
publicApiVersions {
handle
}
}
`,
},
})
},
})
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
},
})