Fetch Vectors with Pinecone API on New Column from MySQL API

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New Column from the MySQL API

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Fetch 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.

Select this integration
Configure the New Column trigger
1. Connect your MySQL account
2. Configure timer
3. Select a Table
Configure the Fetch Vectors action
1. Connect your Pinecone account
2. Select a Index Name
3. Optional- Configure Namespace
4. Configure Vector IDs
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#

New Column on MySQL

Description:Emit new event when you add a new column to a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/show-columns.html)

Version:2.0.5

Key:mysql-new-column

View on GitHub

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";

export default {
  ...common,
  key: "mysql-new-column",
  name: "New Column",
  description: "Emit new event when you add a new column to a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/show-columns.html)",
  type: "source",
  version: "2.0.5",
  dedupe: "unique",
  props: {
    ...common.props,
    db: "$.service.db",
  },
  methods: {
    ...common.methods,
    _getPreviousColumns() {
      return this.db.get("previousColumns");
    },
    _setPreviousColumns(previousColumns) {
      this.db.set("previousColumns", previousColumns);
    },
    async listResults() {
      const { table } = this;
      let previousColumns = this._getPreviousColumns() || [];
      const columns = await this.mysql.listNewColumns({
        table,
        previousColumns,
      });
      this.iterateAndEmitEvents(columns);

      const newColumnNames =
        columns
          .map((column) => column.Field)
          .filter((c) => !previousColumns.includes(c));

      previousColumns = previousColumns.concat(newColumnNames);
      this._setPreviousColumns(previousColumns);
    },
    generateMeta(column) {
      const columnName = column.Field;
      return {
        id: `${columnName}${this.table}`,
        summary: columnName,
        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.

Label	Prop	Type	Description
MySQL	`mysql`	`app`	This component uses the MySQL app.
	`timer`	`$.interface.timer`
Table	`table`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

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.

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

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#

Fetch Vectors on Pinecone

Description:Looks up and returns vectors by ID, from a single namespace.. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/fetch).

Version:0.0.2

Key:pinecone-fetch-vectors

View on GitHub

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

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

    const response = await fetchVectors({
      step,
      indexName,
      params: {
        ids: utils.parseArray(ids),
        namespace,
      },
    });

    step.export("$summary", `Successfully fetched \`${Object.keys(response.vectors).length}\` vector(s).`);

    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.

Label	Prop	Type	Description
Pinecone	`app`	`app`	This component uses the Pinecone app.
Index Name	`indexName`	`string`	Select a value from the drop down menu.
Namespace	`namespace`	`string`	The namespace to use.
Vector IDs	`ids`	`string[]`	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,

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