← MySQL + Pinecone integrations

Delete Vectors with Pinecone API on New or Updated Row from MySQL API

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Trigger workflow on
New or Updated Row from the MySQL API
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Delete Vectors with the Pinecone API
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Getting Started

This integration creates a workflow with a MySQL trigger and Pinecone 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 New or Updated Row trigger
    1. Connect your MySQL account
    2. Configure timer
    3. Select a Table
    4. Select a Order By
  3. Configure the Delete Vectors action
    1. Connect your Pinecone account
    2. Select a Index Name
    3. Optional- Configure Prefix
    4. Optional- Configure Namespace
    5. Configure Vector IDs
  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 event when you add or modify a new row in a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)
Version:2.0.3
Key:mysql-new-or-updated-row

MySQL Overview

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.

Trigger Code

import common from "../common/table.mjs";
import { v4 as uuidv4 } from "uuid";

const { mysql } = common.props;

export default {
  ...common,
  key: "mysql-new-or-updated-row",
  name: "New or Updated Row",
  description: "Emit new event when you add or modify a new row in a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)",
  type: "source",
  version: "2.0.3",
  dedupe: "unique",
  props: {
    ...common.props,
    db: "$.service.db",
    column: {
      propDefinition: [
        mysql,
        "column",
        (c) => ({
          table: c.table,
        }),
      ],
      label: "Order By",
      description:
        "A datetime column, such as 'date_updated' or 'last_modified' that is set to the current datetime when a row is updated.",
    },
  },
  hooks: {
    async deploy() {
      await this.listTopRows(this.column);
    },
  },
  methods: {
    ...common.methods,
    async listResults() {
      await this.listRowResults(this.column);
    },
    generateMeta(row) {
      return {
        id: uuidv4(),
        summary: `New Row Added/Updated ${row[this.column]}`,
        ts: Date.now(),
      };
    },
  },
};

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
MySQLmysqlappThis component uses the MySQL app.
timer$.interface.timer
TabletablestringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Order BycolumnstringSelect a value from the drop down menu.

Trigger Authentication

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

Before you connect to your MySQL database from Pipedream, please make sure your database is either:

  1. Accessible from the public internet (You may need to add a firewall rule on 0.0.0.0/0 on port 3306), or
  2. Accessible from a static IP that you've configured using a VPC in Pipedream, and enabled the workflow to connect through that VPC

SSL Setup

Configure SSL on your MySQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.

About MySQL

MySQL is an open-source relational database management system.

Action

Description:Deletes one or more vectors by ID, from a single namespace. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/delete).
Version:0.0.2
Key:pinecone-delete-vectors

Pinecone Overview

The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.

Action Code

import app from "../../pinecone.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "pinecone-delete-vectors",
  name: "Delete Vectors",
  description: "Deletes one or more vectors by ID, from a single namespace. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/delete).",
  type: "action",
  version: "0.0.2",
  props: {
    app,
    indexName: {
      propDefinition: [
        app,
        "indexName",
      ],
    },
    prefix: {
      propDefinition: [
        app,
        "prefix",
      ],
    },
    namespace: {
      propDefinition: [
        app,
        "namespace",
      ],
    },
    ids: {
      type: "string[]",
      label: "Vector IDs",
      description: "The IDs of the vectors. E.g. `[\"vec1\", \"vec2\"]`",
      propDefinition: [
        app,
        "vectorId",
      ],
    },
  },
  methods: {
    deleteVector(args = {}) {
      return this.app.post({
        path: "/vectors/delete",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      deleteVector,
      indexName,
      ids,
      namespace,
    } = this;

    await deleteVector({
      step,
      indexName,
      data: {
        ids: utils.parseArray(ids),
        namespace,
      },
    });

    step.export("$summary", "Successfully deleted vectors");
    return {
      success: true,
    };
  },
};

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
PineconeappappThis component uses the Pinecone app.
Index NameindexNamestringSelect a value from the drop down menu.
Prefixprefixstring

The vector IDs to fetch. Does not accept values containing spaces. E.g. my-prefix

Namespacenamespacestring

The namespace to use.

Vector IDsidsstring[]

The IDs of the vectors. E.g. ["vec1", "vec2"]

Action Authentication

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

To connect your Pinecone account to Pipedream,

  1. Open the Pinecone console and click "API Keys"
  2. Copy the API key and Environment values and paste each below

About Pinecone

Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

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