Execute SQL Query with Snowflake API on New Data Row Imported from Dromo API

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Trigger workflow on

New Data Row Imported from the Dromo API

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Execute SQL Query with the Snowflake API

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Getting Started#

This integration creates a workflow with a Dromo trigger and Snowflake action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Data Row Imported trigger
1. Connect your Dromo account
2. Configure timer
Configure the Execute SQL Query action
1. Connect your Snowflake account
2. Configure SQL Query
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Data Row Imported on Dromo

Description:Emits a new event when a headless import has been completed successfully.

Version:0.0.1

Key:dromo-new-data-row-imported

View on GitHub

Dromo Overview#

The Dromo API is a logistics and shipment tracking service that provides real-time data on shipments across carriers. With this API, you can tap into a vast network of shipping information, automate tracking processes, send notifications on shipment updates, and integrate your logistics data with other business systems. On Pipedream, you can create workflows that leverage the Dromo API to connect with various apps, automate shipment tracking updates, and streamline logistics processes.

Trigger Code#

import base from "../common/base.mjs";

export default {
  ...base,
  key: "dromo-new-data-row-imported",
  name: "New Data Row Imported",
  description: "Emits a new event when a headless import has been completed successfully.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    getResourceFn() {
      return this.dromo.listHeadlessImports;
    },
    isRelevant(item) {
      return item.status === "SUCCESSFUL";
    },
    generateMeta(item) {
      return {
        id: item.id,
        summary: `New Data Row Imported: ${item.original_filename}`,
        ts: Date.parse(item.modified_date),
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Dromo	`dromo`	`app`	This component uses the Dromo app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

Dromo uses API keys for authentication. When you connect your Dromo account, Pipedream securely stores the keys so you can easily authenticate to Dromo APIs in both code and no-code steps.

About Dromo#

Dromo is a self-service data file importer that deploys in minutes. Embed in your app or trigger via API to handle csv, xls, xlsx and more.

Action#

Execute SQL Query on Snowflake

Description:Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:0.2.0

Key:snowflake-execute-sql-query

View on GitHub

Snowflake Overview#

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.

Action Code#

import snowflake from "../../snowflake.app.mjs";

export default {
  name: "Execute SQL Query",
  version: "0.2.0",
  key: "snowflake-execute-sql-query",
  description: "Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  type: "action",
  props: {
    snowflake,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "snowflake",
      },
      label: "SQL Query",
    },
  },
  async run({ $ }) {
    const args = this.snowflake.executeQueryAdapter(this.sql);

    const data = await this.snowflake.executeQuery(args);

    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);

    return data;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
SQL Query	`sql`	`sql`