Add Single Row 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 Single Row 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 Single Row action
1. Connect your Google Sheets account
2. Optional- Select a Drive
3. Select a Spreadsheet
4. Select a Sheet Name
5. Select a Does the first row of the sheet have headers?
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
Open the JSON in a text editor, and copy and paste its contents here.

About Google Cloud#

The Google Cloud Platform, including BigQuery

Action#

Add Single Row on Google Sheets

Description:Add a single row of data to Google Sheets

Version:2.1.2

Key:google_sheets-add-single-row

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 googleSheets from "../../google_sheets.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "google_sheets-add-single-row",
  name: "Add Single Row",
  description: "Add a single row of data to Google Sheets",
  version: "2.1.2",
  type: "action",
  props: {
    googleSheets,
    drive: {
      propDefinition: [
        googleSheets,
        "watchedDrive",
      ],
    },
    sheetId: {
      propDefinition: [
        googleSheets,
        "sheetID",
        (c) => ({
          driveId: googleSheets.methods.getDriveId(c.drive),
        }),
      ],
      description: "",
      withLabel: true,
    },
    sheetName: {
      propDefinition: [
        googleSheets,
        "sheetName",
        (c) => ({
          sheetId: c.sheetId?.value || c.sheetId,
        }),
      ],
      description: "",
    },
    hasHeaders: {
      type: "string",
      label: "Does the first row of the sheet have headers?",
      description: "If the first row of your document has headers we'll retrieve them to make it easy to enter the value for each column.",
      options: [
        "Yes",
        "No",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    const sheetId = this.sheetId?.value || this.sheetId;
    const props = {};
    if (this.hasHeaders === "Yes") {
      const { values } = await this.googleSheets.getSpreadsheetValues(sheetId, `${this.sheetName}!1:1`);
      if (!values[0]?.length) {
        throw new ConfigurationError("Cound not find a header row. Please either add headers and click \"Refresh fields\" or adjust the action configuration to continue.");
      }
      for (let i = 0; i < values[0]?.length; i++) {
        props[`col_${i.toString().padStart(4, "0")}`] = {
          type: "string",
          label: values[0][i],
          optional: true,
        };
      }
    } else if (this.hasHeaders === "No") {
      props.myColumnData = {
        type: "string[]",
        label: "Values",
        description: "Provide a value for each cell of the row. Google Sheets accepts strings, numbers and boolean values for each cell. To set a cell to an empty value, pass an empty string.",
      };
    }
    return props;
  },
  async run({ $ }) {
    const sheetId = this.sheetId?.value || this.sheetId;
    let cells;
    if (this.hasHeaders === "Yes") {
      // TODO: If we could create a variable using this.allColumns in additionalProps, we dont need
      // to call getSpreadsheetValues here again.
      const { values: rows } = await this.googleSheets.getSpreadsheetValues(sheetId, `${this.sheetName}!1:1`);
      const [
        headers,
      ] = rows;
      cells = headers
        .map((_, i) => `col_${i.toString().padStart(4, "0")}`)
        .map((column) => this[column] ?? "");
    } else {
      cells = this.googleSheets.sanitizedArray(this.myColumnData);
    }

    // validate input
    if (!cells || !cells.length) {
      throw new Error("Please enter an array of elements in `Cells / Column Values`.");
    } else if (!Array.isArray(cells)) {
      throw new Error("Cell / Column data is not an array. Please enter an array of elements in `Cells / Column Values`.");
    } else if (Array.isArray(cells[0])) {
      throw new Error("Cell / Column data is a multi-dimensional array. A one-dimensional is expected. If you're trying to send multiple rows to Google Sheets, search for the action to add multiple rows to Sheets.");
    }

    const {
      arr,
      convertedIndexes,
    } = this.googleSheets.arrayValuesToString(cells);

    const data = await this.googleSheets.addRowsToSheet({
      spreadsheetId: sheetId,
      range: this.sheetName,
      rows: [
        arr,
      ],
    });

    let summary = `Added 1 row to [${this.sheetId?.label || this.sheetId} (${data.updatedRange})](https://docs.google.com/spreadsheets/d/${sheetId}).`;
    if (convertedIndexes.length > 0) {
      summary += " We detected something other than a string/number/boolean in at least one of the fields and automatically converted it to a string.";
    }
    $.export("$summary", summary);

    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
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.
Sheet Name	`sheetName`	`string`	Select a value from the drop down menu.
Does the first row of the sheet have headers?	`hasHeaders`	`string`	Select a value from the drop down menu:`YesNo`

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#

Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.

More Ways to Connect Google Sheets + Google Cloud#

Other Popular Integrations#

Logging - Write Log with Google Cloud API on New Row Added (Instant) from Google Sheets API

Google Sheets + Google Cloud

Add Single Row 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 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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