Add Multiple Rows with Google Sheets API on BigQuery - New Row from Google Cloud API

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BigQuery - New Row from the Google Cloud 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 Google Cloud trigger and Google Sheets action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the BigQuery - New Row trigger
1. Connect your Google Cloud account
2. Configure Polling interval
3. Configure Event Size
4. Select a Dataset ID
5. Select a Table Name
6. Select a Unique Key
Configure the Add Multiple Rows action
1. Connect your Google Sheets account
2. Optional- Select a Drive
3. Select a Spreadsheet
4. Select a Worksheet Id
5. Configure headersDisplay
6. Configure Row Values
7. Configure rowsDescription
8. Optional- Configure Reset Row Format
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#

BigQuery - New Row on Google Cloud

Description:Emit new events when a new row is added to a table

Version:0.1.6

Key:google_cloud-bigquery-new-row

View on GitHub

Google Cloud Overview#

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Trigger Code#

import crypto from "crypto";
import { isString } from "lodash-es";
import googleCloud from "../../google_cloud.app.mjs";
import common from "../common/bigquery.mjs";

export default {
  ...common,
  key: "google_cloud-bigquery-new-row",
  // eslint-disable-next-line pipedream/source-name
  name: "BigQuery - New Row",
  description: "Emit new events when a new row is added to a table",
  version: "0.1.6",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    tableId: {
      propDefinition: [
        googleCloud,
        "tableId",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    uniqueKey: {
      type: "string",
      label: "Unique Key",
      description: "The name of a column in the table to use for deduplication. See [the docs](https://github.com/PipedreamHQ/pipedream/tree/master/components/google_cloud/sources/bigquery-new-row#technical-details) for more info.",
      async options(context) {
        const { page } = context;
        if (page !== 0) {
          return [];
        }

        const columnNames = await this._getColumnNames();
        return columnNames.sort();
      },
    },
  },
  hooks: {
    ...common.hooks,
    async deploy() {
      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow(this.getInitialEventCount());
      this._setLastResultId(lastResultId);
    },
    async activate() {
      if (this._getLastResultId()) {
        // ID of the last result has already been initialised during deploy(),
        // so we skip the rest of the activation.
        return;
      }

      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow();
      this._setLastResultId(lastResultId);
    },
    deactivate() {
      this._setLastResultId(null);
    },
  },
  methods: {
    ...common.methods,
    _getLastResultId() {
      return this.db.get("lastResultId");
    },
    _setLastResultId(lastResultId) {
      this.db.set("lastResultId", lastResultId);
      console.log(`
        Next scan of table '${this.tableId}' will start at ${this.uniqueKey}=${lastResultId}
      `);
    },
    /**
     * Utility method to make sure that a certain column exists in the target
     * table. Useful for SQL query sanitizing.
     *
     * @param {string} columnNameToValidate The name of the column to validate
     * for existence
     */
    async _validateColumn(columnNameToValidate) {
      if (!isString(columnNameToValidate)) {
        throw new Error("columnNameToValidate must be a string");
      }

      const columnNames = await this._getColumnNames();
      if (!columnNames.includes(columnNameToValidate)) {
        throw new Error(`Nonexistent column: ${columnNameToValidate}`);
      }
    },
    async _getColumnNames() {
      const table = this.googleCloud
        .getBigQueryClient()
        .dataset(this.datasetId)
        .table(this.tableId);
      const [
        metadata,
      ] = await table.getMetadata();
      const { fields } = metadata.schema;
      return fields.map(({ name }) => name);
    },
    async _getIdOfLastRow(offset = 0) {
      const limit = offset + 1;
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        ORDER BY \`${this.uniqueKey}\` DESC
        LIMIT @limit
      `;
      const queryOpts = {
        query,
        params: {
          limit,
        },
      };
      const rows = await this.getRowsForQuery(queryOpts, this.datasetId);
      if (rows.length === 0) {
        console.log(`
          No records found in the target table, will start scanning from the beginning
        `);
        return;
      }

      const startingRow = rows.pop();
      return startingRow[this.uniqueKey];
    },
    getQueryOpts() {
      const lastResultId = this._getLastResultId();
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        WHERE \`${this.uniqueKey}\` >= @lastResultId
        ORDER BY \`${this.uniqueKey}\` ASC
      `;
      const params = {
        lastResultId,
      };
      return {
        query,
        params,
      };
    },
    generateMeta(row, ts) {
      const id = row[this.uniqueKey];
      const summary = `New row: ${id}`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(rows, ts) {
      const hash = crypto.createHash("sha1");
      rows
        .map((i) => i[this.uniqueKey])
        .map((i) => i.toString())
        .forEach((i) => hash.update(i));
      const id = hash.digest("base64");

      const rowCount = rows.length;
      const entity = rowCount === 1
        ? "row"
        : "rows";
      const summary = `${rowCount} new ${entity}`;

      return {
        id,
        summary,
        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
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	How often to run your query
Event Size	`eventSize`	`integer`	The number of rows to include in a single event (by default, emits 1 event per row)
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Table Name	`tableId`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Upload the key below.

About Google Cloud#

The Google Cloud Platform, including BigQuery

Action#

Add Multiple Rows on Google Sheets

Description:Add multiple rows of data to a Google Sheet. [See the documentation](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets.values/append)

Version:0.2.9

Key:google_sheets-add-multiple-rows

View on GitHub

Google Sheets Overview#

The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.

Action Code#

import common from "../common/worksheet.mjs";
import { ConfigurationError } from "@pipedream/platform";
import {
  parseArray, getWorksheetHeaders,
} from "../../common/utils.mjs";

const { googleSheets } = common.props;

export default {
  ...common,
  key: "google_sheets-add-multiple-rows",
  name: "Add Multiple Rows",
  description: "Add multiple rows of data to a Google Sheet. [See the documentation](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets.values/append)",
  version: "0.2.9",
  type: "action",
  props: {
    googleSheets,
    drive: {
      propDefinition: [
        googleSheets,
        "watchedDrive",
      ],
    },
    sheetId: {
      propDefinition: [
        googleSheets,
        "sheetID",
        (c) => ({
          driveId: googleSheets.methods.getDriveId(c.drive),
        }),
      ],
    },
    worksheetId: {
      propDefinition: [
        googleSheets,
        "worksheetIDs",
        (c) => ({
          sheetId: c.sheetId,
        }),
      ],
      type: "string",
      label: "Worksheet Id",
      reloadProps: true,
    },
    headersDisplay: {
      propDefinition: [
        googleSheets,
        "headersDisplay",
      ],
    },
    rows: {
      propDefinition: [
        googleSheets,
        "rows",
      ],
    },
    rowsDescription: {
      propDefinition: [
        googleSheets,
        "rowsDescription",
      ],
    },
    resetRowFormat: {
      type: "boolean",
      label: "Reset Row Format",
      description: "Reset the formatting of the rows that were added (line style to none, background to white, foreground color to black, font size to 10, no bold, no italic, no strikethrough, horizontalAlignment to left). This is useful if you want to add rows to a formatted table in Google Sheets.",
      optional: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.sheetId || !this.worksheetId) {
      return props;
    }
    const worksheet = await this.getWorksheetById(this.sheetId, this.worksheetId);
    const rowHeaders = await getWorksheetHeaders(this, this.sheetId, worksheet?.properties?.title);
    if (rowHeaders.length) {
      return {
        headersDisplay: {
          type: "alert",
          alertType: "info",
          content: `Possible Row Headers: **\`${rowHeaders.join(", ")}\`**`,
          hidden: false,
        },
      };
    }
  },
  async run() {
    let inputValidated = true;

    const rows = parseArray(this.rows);

    if (!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 ConfigurationError("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.");
    }

    const worksheet = await this.getWorksheetById(this.sheetId, this.worksheetId);
    const addRowsResponse = await this.googleSheets.addRowsToSheet({
      spreadsheetId: this.sheetId,
      range: worksheet?.properties?.title,
      rows,
    });

    if (this.resetRowFormat) {
      await this.googleSheets.resetRowFormat(this.sheetId, addRowsResponse.updatedRange);
    }
    return addRowsResponse;
  },
};

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
Google Sheets	`googleSheets`	`app`	This component uses the Google Sheets app.
Drive	`drive`	`string`	Select a value from the drop down menu.
Spreadsheet	`sheetId`	`string`	Select a value from the drop down menu.
Worksheet Id	`worksheetId`	`string`	Select a value from the drop down menu.
Row Values	`rows`	`string`	Provide an array of arrays
Reset Row Format	`resetRowFormat`	`boolean`	Reset the formatting of the rows that were added (line style to none, background to white, foreground color to black, font size to 10, no bold, no italic, no strikethrough, horizontalAlignment to left). This is useful if you want to add rows to a formatted table in Google Sheets.

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

Add Multiple Rows with Google Sheets API on BigQuery - New Row from Google Cloud API

Pipedream makes it easy to connect APIs for Google Sheets, Google Cloud and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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