Execute SQL Query with Snowflake API on New or Updated Record (Instant) from Grist API

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New or Updated Record (Instant) from the Grist 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 Grist 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 or Updated Record (Instant) trigger
1. Connect your Grist account
2. Configure Document ID
3. Select a Table ID
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 or Updated Record (Instant) on Grist

Description:Emit new event once a record is updated or newly created in Grist. [See the documentation](https://support.getgrist.com/api/#tag/webhooks)

Version:0.0.1

Key:grist-new-or-updated-record-instant

View on GitHub

Grist Overview#

Grist API on Pipedream enables you to automate data management tasks in your Grist documents. This might mean syncing data across different platforms, triggering notifications based on data changes, or processing data through custom logic. With Pipedream, you can use the Grist API to build workflows that react to events in real-time, connect to hundreds of other services, manipulate data in sophisticated ways, and create custom endpoints to integrate with your Grist data.

Trigger Code#

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

export default {
  ...common,
  key: "grist-new-or-updated-record-instant",
  name: "New or Updated Record (Instant)",
  description: "Emit new event once a record is updated or newly created in Grist. [See the documentation](https://support.getgrist.com/api/#tag/webhooks)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getEventTypes() {
      return [
        events.ADD,
        events.UPDATE,
      ];
    },
    generateMeta(resource) {
      const ts = Date.now();
      return {
        id: `${resource.id}-${ts}`,
        summary: `New Or Updated Record ID ${resource.id}`,
        ts,
      };
    },
  },
};

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
Grist	`app`	`app`	This component uses the Grist app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
Document ID	`docId`	`string`	The ID of the Grist document to operate on. You can find this in the Settings menu of the document.
Table ID	`tableId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

To retrieve your API key,

Navigate to your Girst account and sign in
Go to “Profile Settings” > “API”

About Grist#

The evolution of spreadsheets.

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`