Integrate the Google Vertex AI API with the MySQL API

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

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Popular Ways to Connect Google Vertex AI with MySQL#

Analyze Image/Video with Google Vertex AI API on New Column from MySQL API

MySQL + Google Vertex AI

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Analyze Image/Video with Google Vertex AI API on New or Updated Row from MySQL API

MySQL + Google Vertex AI

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Analyze Image/Video with Google Vertex AI API on New Row (Custom Query) from MySQL API

MySQL + Google Vertex AI

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Analyze Image/Video with Google Vertex AI API on New Row from MySQL API

MySQL + Google Vertex AI

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Analyze Image/Video with Google Vertex AI API on New Table from MySQL API

MySQL + Google Vertex AI

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Popular Google Vertex AI and MySQL Triggers#

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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Popular Google Vertex AI and MySQL Actions#

Analyze Image/Video with the Google Vertex AI API

Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation

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Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

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Analyze Text Sentiment with the Google Vertex AI API

Analyzes a specified text for its underlying sentiment. See the documentation

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Create Row with the MySQL API

Adds a new row. See the docs here

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Classify Text with the Google Vertex AI API

Groups a provided text into predefined categories. See the documentation

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Overview of Google Vertex AI#

With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.

Connect Google Vertex AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_vertex_ai: {
      type: "app",
      app: "google_vertex_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
      },
    })
  },
})

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#

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
    };
    return await this.mysql.executeQuery(queryObj);
  },
});

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