Send Custom Data with Databox API on New Schema from Snowflake API

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Trigger workflow on

New Schema from the Snowflake API

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Send Custom Data with the Databox API

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Getting Started#

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

Select this integration
Configure the New Schema trigger
1. Connect your Snowflake account
2. Configure timer
Configure the Send Custom Data action
1. Connect your Databox account
2. Select a Metric Key
3. Configure Value
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 Schema on Snowflake

Description:Emit new event when a schema is created

Version:0.1.2

Key:snowflake-new-schema

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.

Trigger Code#

import common from "../common.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-new-schema",
  name: "New Schema",
  description: "Emit new event when a schema is created",
  version: "0.1.2",
  methods: {
    ...common.methods,
    alwaysRunInSingleProcessMode() {
      return true;
    },
    updateLastExecutionTime() {
      this.db.set("lastExecutionTime", Date.now());
    },
    getLastExecutionTime() {
      return this.db.get("lastExecutionTime");
    },
    generateMeta(data) {
      return {
        id: uuidv4(),
        summary: data.row.SCHEMA_NAME,
        ts: data.timestamp,
      };
    },
    getStatement() {
      const lastExecutionTime = this.getLastExecutionTime();
      if (lastExecutionTime) {
        return {
          sqlText: "select * from INFORMATION_SCHEMA.SCHEMATA where CREATED > ? order by CREATED ASC",
          binds: [
            new Date(lastExecutionTime),
          ],
        };
      }
      return {
        sqlText: "select * from INFORMATION_SCHEMA.SCHEMATA order by CREATED ASC",
      };
    },
    additionalProccessing() {
      this.updateLastExecutionTime();
    },
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for changes on this schedule

Trigger Authentication#

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

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.

About Snowflake#

A data warehouse built for the cloud

Action#

Send Custom Data on Databox

Description:Sends custom data. [See docs here](https://developers.databox.com/send-data/)

Version:0.0.1

Key:databox-send-custom-data

View on GitHub

Databox Overview#

The Databox API enables you to create custom dashboards, integrating various data sources to track performance metrics in real-time. With Pipedream, you can leverage this API to automate the flow of data between Databox and other applications, creating bespoke monitoring solutions and data-driven workflows that save time and enhance insights.

Action Code#

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

export default {
  name: "Send Custom Data",
  version: "0.0.1",
  key: "databox-send-custom-data",
  description: "Sends custom data. [See docs here](https://developers.databox.com/send-data/)",
  type: "action",
  props: {
    databox,
    metricKey: {
      propDefinition: [
        databox,
        "metricKey",
      ],
    },
    value: {
      label: "Value",
      description: "The value to insert on metric",
      type: "integer",
    },
  },
  async run({ $ }) {
    const response = await this.databox.sendCustomData({
      key: this.metricKey,
      value: this.value,
      date: new Date(),
    });

    if (response.status !== "OK") {
      throw new Error(response.message);
    }

    $.export("$summary", `Successfully pushed data with id ${response.id}`);

    return response;
  },
};

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
Databox	`databox`	`app`	This component uses the Databox app.
Metric Key	`metricKey`	`string`	Select a value from the drop down menu.
Value	`value`	`integer`	The value to insert on metric

Action Authentication#

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

Refer to the Databox documentation to create your token and get started.

About Databox#

Connect your data from any tool and track it from any device. No more logging into dozens of different tools to understand performance — now you and your team can easily connect your data, build and share reports, monitor trends, and discover insights.

More Ways to Connect Databox + Snowflake#

Other Popular Integrations#

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