Integrate the Fibery API with the MySQL API

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

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Popular Ways to Connect Fibery with MySQL#

Execute Raw Query with MySQL API on Entity Updated from Fibery API

Fibery + MySQL

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Execute Raw Query with MySQL API on New Entity Created from Fibery API

Fibery + MySQL

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Create Entity with Fibery API on New Column from MySQL API

MySQL + Fibery

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Create Entity with Fibery API on New or Updated Row from MySQL API

MySQL + Fibery

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Create Entity with Fibery API on New Row (Custom Query) from MySQL API

MySQL + Fibery

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Popular Fibery and MySQL Triggers#

Entity Updated from the Fibery API

Emit new event for every updated entity of a certain type. See the docs here

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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 Entity Created from the Fibery API

Emit new event for every created entity of a certain type. 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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Popular Fibery and MySQL Actions#

Create Entity with the Fibery API

Creates a new entity. See the docs here

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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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Create Multiple Entities with the Fibery API

Creates entities in batch. 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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Create or Update Entity with the Fibery API

Creates a new entity or updates if it exists. See the docs here

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Overview of Fibery#

Fibery is a versatile work management platform, and its API amplifies this versatility within Pipedream's environment. Leveraging the Fibery API on Pipedream, you can automate complex workflows that span across project management, product development, and collaborative functions. This includes actions like syncing issues across platforms, aggregating feedback into product roadmaps, or updating project timelines based on external triggers. With Pipedream, you can listen for webhooks, schedule tasks, and seamlessly connect Fibery with other apps to create a dynamic, interconnected workspace.

Connect Fibery#

module.exports = defineComponent({
  props: {
    fibery: {
      type: "app",
      app: "fibery",
    }
  },
  async run({steps, $}) {
    return (await require("@pipedream/platform").axios($, {
      method: "post",
      url: `https://${this.fibery.$auth.account_name}.fibery.io/api/commands`,
      headers: {
        "Authorization": `Token ${this.fibery.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data: [
        {
          "command": "fibery.entity/query",
          "args": {
            "query": {
              "q/from": "fibery/user",
              "q/select": ["fibery/id", "user/name"],
              "q/limit": 1
            }
          }
        }
      ],
    }))[0]
  },
})

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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