← Snowflake + Google Sheets integrations

Add Multiple Rows with Google Sheets API on New Query Results from Snowflake API

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Trigger workflow on
New Query Results from the Snowflake API
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Add Multiple Rows with the Google Sheets API
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Getting Started

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

  1. Select this integration
  2. Configure the New Query Results trigger
    1. Connect your Snowflake account
    2. Configure timer
    3. Configure SQL Query
    4. Optional- Configure Primary key
    5. Optional- Configure Emit individual events
  3. Configure the Add Multiple Rows action
    1. Connect your Google Sheets account
    2. Optional- Select a Drive
    3. Select a Spreadsheet
    4. Select a Sheet Name
    5. Configure Row Values
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Run a SQL query on a schedule, triggering a workflow for each row of results
Version:0.1.0
Key:snowflake-query-results

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. We recommend you create a read-only account if you only need to query Snowflake.

2. Enter those details in Pipedream

  1. Visit https://pipedream.com/accounts
  2. Click the button to Connect an App
  3. Enter the required Snowflake data.

You'll only need to connect your account once in Pipedream. You can use this account 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-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.1.0",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

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.
LabelPropTypeDescription
SnowflakesnowflakeappThis component uses the Snowflake app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.
timer$.interface.timer

Watch for new rows on this schedule

SQL QuerysqlQuerystring

Run this query on a schedule, triggering the workflow for each row of results

Primary keydedupeKeystring

The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow

Emit individual eventsemitIndividualEventsboolean

Defaults to true, triggering workflows on each record in the result set. Set to false to emit records in batch (advanced)

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.

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.

Enter the username, password, and other details below. The account field expects your Snowflake account identifier. You may need to include the full identifier and region as a part of this string, e.g. au12345.us-east-1. Please consult your instance and Snowflake docs for more detail.

About Snowflake

A data warehouse built for the cloud

Action

Description:Add multiple rows of data to a Google Sheet
Version:0.1.5
Key:google_sheets-add-multiple-rows

Google Sheets Overview

Some examples of things you can build using the Google Sheets API include:

  • A web app that lets users input data into a Google Sheet
  • A script that automatically updates a Google Sheet with data from another
    source
  • A tool that generates graphs and charts from data in a Google Sheet
  • A service that sends data from a Google Sheet to another API or application

Action Code

import googleSheets from "../../google_sheets.app.mjs";

export default {
  key: "google_sheets-add-multiple-rows",
  name: "Add Multiple Rows",
  description: "Add multiple rows of data to a Google Sheet",
  version: "0.1.5",
  type: "action",
  props: {
    googleSheets,
    drive: {
      propDefinition: [
        googleSheets,
        "watchedDrive",
      ],
    },
    sheetId: {
      propDefinition: [
        googleSheets,
        "sheetID",
        (c) => ({
          driveId: googleSheets.methods.getDriveId(c.drive),
        }),
      ],
    },
    sheetName: {
      propDefinition: [
        googleSheets,
        "sheetName",
        (c) => ({
          sheetId: c.sheetId,
        }),
      ],
    },
    rows: {
      propDefinition: [
        googleSheets,
        "rows",
      ],
    },
  },
  async run() {
    let rows = this.rows;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(this.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) {
      console.error("Data Submitted:");
      console.error(rows);
      throw new Error("Rows data is not an array of arrays. Please enter an array of arrays in the `Rows` parameter above. If you're trying to send a single rows to Google Sheets, search for the action to add a single row to Sheets or try modifying the code for this step.");
    }

    return await this.googleSheets.addRowsToSheet({
      spreadsheetId: this.sheetId,
      range: this.sheetName,
      rows,
    });
  },
};

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.

LabelPropTypeDescription
Google SheetsgoogleSheetsappThis component uses the Google Sheets app.
DrivedrivestringSelect a value from the drop down menu.
SpreadsheetsheetIdstringSelect a value from the drop down menu.
Sheet NamesheetNamestringSelect a value from the drop down menu.
Row Valuesrowsstring

Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a cell/column 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.

Action Authentication

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

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

emailprofilehttps://www.googleapis.com/auth/drive

About Google Sheets

With Google Sheets, you can create, edit, and collaborate wherever you are

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