← Google Cloud + Salesforce integrations

Send Email with Salesforce 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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Getting Started

This integration creates a workflow with a Google Cloud trigger and Salesforce 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 BigQuery - New Row trigger
    1. Connect your Google Cloud account
    2. Configure Polling interval
    3. Configure Event Size
    4. Optional- Configure Max Rows Per Execution
    5. Select a Dataset ID
    6. Select a Table Name
    7. Select a Unique Key
  3. Configure the Send Email action
    1. Connect your Salesforce account
    2. Configure Email Address
    3. Configure Subject
    4. Configure Body
    5. Optional- Configure Log Email on Send
  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:Emit new events when a new row is added to a table
Version:0.1.9
Key:google_cloud-bigquery-new-row

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: "0.1.9", 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); }, }, 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 \`${this.uniqueKey}\` DESC LIMIT @limit `; const queryOpts = { query, params: { limit, }, }; const client = this.googleCloud .getBigQueryClient() .dataset(this.datasetId); const [ job, ] = await client.createQueryJob(queryOpts); const [ rows, ] = await job.getQueryResults(); if (rows.length === 0) { console.log(` No records found in the target table, will start scanning from the beginning `); return; } const startingRow = rows.pop(); return startingRow[this.uniqueKey]; }, getQueryOpts() { const lastResultId = this._getLastResultId(); let query = `SELECT * FROM \`${this.tableId}\``; if (lastResultId) { query += ` WHERE \`${this.uniqueKey}\` >= @lastResultId`; } query += ` ORDER BY \`${this.uniqueKey}\` DESC`; const params = lastResultId ? { 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.
LabelPropTypeDescription
Google CloudgoogleCloudappThis component uses the Google Cloud app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling intervaltimer$.interface.timer

How often to run your query

Event SizeeventSizeinteger

The number of rows to include in a single event (by default, emits 1 event per row)

Max Rows Per ExecutionmaxRowsPerExecutioninteger

Maximum number of rows to process in a single execution to prevent memory issues

Dataset IDdatasetIdstringSelect a value from the drop down menu.
Table NametableIdstringSelect a value from the drop down menu.
Unique KeyuniqueKeystringSelect 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.

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

About Google Cloud

The Google Cloud Platform, including BigQuery

Action

Description:Sends an email. [See the documentation](https://developer.salesforce.com/docs/atlas.en-us.api_action.meta/api_action/actions_obj_email_simple.htm)
Version:0.0.4
Key:salesforce_rest_api-send-email

Salesforce Overview

The Salesforce (REST API) provides a powerful platform for creating and managing customer relationships with a wide array of features like data manipulation, querying, and complex automation. With Pipedream's serverless execution, you can create workflows that automate your sales processes, sync data with other platforms, enhance customer engagement, and trigger actions based on specific events. Dive into Salesforce data, streamline lead management, track customer interactions, and push or pull data to or from Salesforce seamlessly.

Action Code

import salesforce from "../../salesforce_rest_api.app.mjs"; export default { key: "salesforce_rest_api-send-email", name: "Send Email", description: "Sends an email. [See the documentation](https://developer.salesforce.com/docs/atlas.en-us.api_action.meta/api_action/actions_obj_email_simple.htm)", version: "0.0.4", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { salesforce, emailAddress: { type: "string", label: "Email Address", description: "The email address to send the email to", }, emailSubject: { type: "string", label: "Subject", description: "The subject of the email", }, emailBody: { type: "string", label: "Body", description: "The body of the email", }, logEmailOnSend: { type: "boolean", label: "Log Email on Send", description: "Indicates whether to log the email on the specified records’ activity time lines", optional: true, }, }, methods: { sendEmail(opts = {}) { return this.salesforce._makeRequest({ url: `${this.salesforce._baseApiVersionUrl()}/actions/standard/emailSimple`, method: "POST", ...opts, }); }, }, async run({ $ }) { const response = await this.sendEmail({ $, data: { inputs: [ { emailAddresses: this.emailAddress, emailSubject: this.emailSubject, emailBody: this.emailBody, senderType: "CurrentUser", logEmailOnSend: this.logEmailOnSend, }, ], }, }); $.export("$summary", `Email sent to ${this.emailAddress}`); 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.

LabelPropTypeDescription
SalesforcesalesforceappThis component uses the Salesforce app.
Email AddressemailAddressstring

The email address to send the email to

SubjectemailSubjectstring

The subject of the email

BodyemailBodystring

The body of the email

Log Email on SendlogEmailOnSendboolean

Indicates whether to log the email on the specified records’ activity time lines

Action Authentication

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

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

About Salesforce

Cloud-based customer relationship management (CRM) platform that helps businesses manage sales, marketing, customer support, and other business activities, ultimately aiming to improve customer relationships and streamline operations.

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