Amazon Polly

Deploy high-quality, natural-sounding human voices in dozens of languages.

Integrate the Amazon Polly API with the MySQL API

Setup the Amazon Polly API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate Amazon Polly and MySQL remarkably fast. Free for developers.

New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

 
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Execute Raw Query with the MySQL API

Find row(s) via a custom raw query. See the documentation

 
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Execute Stored Procedure with the MySQL API

Execute Stored Procedure. See the docs here

 
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Overview of Amazon Polly

The Amazon Polly API lets you convert text into lifelike speech using deep learning. With Polly, you can create applications that talk and build entirely new categories of speech-enabled products. Pipedream's platform enables you to integrate Polly's capabilities into workflows that can automate tasks, like generating audio files from blog posts or alert messages, and piping them to various services or storage solutions.

Connect Amazon Polly

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import AWS from 'aws-sdk'
import { PollyClient, StartSpeechSynthesisTaskCommand } from "@aws-sdk/client-polly"

export default defineComponent({
  props: {
    amazon_polly: {
      type: "app",
      app: "amazon_polly",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = auths.amazon_polly
    // Create an Amazon Polly service client object.
    const creds = new AWS.Credentials(accessKeyId, secretAccessKey);
    const pollyClient = new PollyClient({ credentials: creds, region: "us-east-1" });

    // Create input data
    var data = {
      OutputFormat: "mp3",
      OutputS3BucketName: "videoanalyzerbucket",
      Text: "Hello David, How are you?",
      TextType: "text",
      VoiceId: "Joanna",
      SampleRate: "22050",
    };

    return await pollyClient.send(new StartSpeechSynthesisTaskCommand(data));
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

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import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});