Insert Multiple Rows with Snowflake API on New Comment Created (Instant) from Basecamp API

Pipedream makes it easy to connect APIs for Snowflake, Basecamp and 2,400+ other apps remarkably fast.

Trigger workflow on

New Comment Created (Instant) from the Basecamp API

Next, do this

Insert Multiple Rows with the Snowflake API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

Getting Started#

This integration creates a workflow with a Basecamp 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 Comment Created (Instant) trigger
1. Connect your Basecamp account
2. Select a Account Id
3. Select a Project Id
Configure the Insert Multiple Rows action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
5. Select one or more Columns
6. Configure Row Values
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 Comment Created (Instant) on Basecamp

Description:Emit new event when a comment is created. [See the docs here](https://github.com/basecamp/bc3-api/blob/master/sections/webhooks.md#create-a-webhook)

Version:0.0.7

Key:basecamp-new-comment-created

View on GitHub

Basecamp Overview#

The Basecamp API enables the automation of project management tasks, facilitating seamless interaction with Basecamp's project management tools. Through Pipedream, you can leverage the API to create custom workflows that trigger actions within Basecamp, sync data across various platforms, and enhance team collaboration with automated notifications and task management.

Trigger Code#

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

export default {
  ...common,
  key: "basecamp-new-comment-created",
  name: "New Comment Created (Instant)",
  description: "Emit new event when a comment is created. [See the docs here](https://github.com/basecamp/bc3-api/blob/master/sections/webhooks.md#create-a-webhook)",
  version: "0.0.7",
  dedupe: "unique",
  type: "source",
  methods: {
    ...common.methods,
    getWebhookTypes() {
      return [
        "Comment",
      ];
    },
    getAllowedEvents() {
      return [
        "comment_created",
      ];
    },
  },
};

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
Basecamp	`app`	`app`	This component uses the Basecamp app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Account Id	`accountId`	`string`	Select a value from the drop down menu.
Project Id	`projectId`	`string`	Select a value from the drop down menu.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

Basecamp uses OAuth authentication. When you connect your Basecamp account, Pipedream will open a popup window where you can sign into Basecamp and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Basecamp API.

Pipedream requests the following authorization scopes when you connect your account:

About Basecamp#

Project Management & Team Communication

Action#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.1.2

Key:snowflake-insert-multiple-rows

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";
import { ConfigurationError } from "@pipedream/platform";

export default {
  type: "action",
  key: "snowflake-insert-multiple-rows",
  name: "Insert Multiple Rows",
  description: "Insert multiple rows into a table",
  version: "0.1.2",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add rows",
    },
    columns: {
      propDefinition: [
        snowflake,
        "columns",
        (c) => ({
          tableName: c.tableName,
        }),
      ],
    },
    values: {
      propDefinition: [
        snowflake,
        "values",
      ],
    },
  },
  async run({ $ }) {
    let rows = this.values;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(rows);
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row) => { if (!Array.isArray(row)) { inputValidated = false; } });
    }

    // Throw an error if input validation failed
    if (!inputValidated) {
      throw new ConfigurationError("The row data you passed is not an array of arrays. Please enter an array of arrays in the `Values` parameter above. If you're trying to add a single row to Snowflake, select the **Insert Single Row** action.");
    }

    const response = await this.snowflake.insertRows(this.tableName, this.columns, this.values);
    $.export("$summary", `Successfully inserted ${this.values.length} rows in ${this.tableName}`);
    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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Values	`values`	`string`	Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a value (e.g., passing `[["Foo",1,2],["Bar",3,4]]` will insert two rows of data with three columns each). The most common pattern is to reference an array of arrays exported by a previous step (e.g., `{{steps.foo.$return_value}}`). You may also enter or construct a string that will `JSON.parse()` to an array of arrays.