Integrate the Qualetics API with the MySQL API

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

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Popular Ways to Connect Qualetics with MySQL#

Run Data Machine with Qualetics API on New Column from MySQL API

MySQL + Qualetics

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Run Data Machine with Qualetics API on New or Updated Row from MySQL API

MySQL + Qualetics

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Run Data Machine with Qualetics API on New Row (Custom Query) from MySQL API

MySQL + Qualetics

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Run Data Machine with Qualetics API on New Row from MySQL API

MySQL + Qualetics

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Run Data Machine with Qualetics API on New Table from MySQL API

MySQL + Qualetics

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Popular Qualetics 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 Qualetics and MySQL Actions#

Run Data Machine with the Qualetics API

Initiates a previously designed data machine within Qualetics, executing the specific analytical tasks it was built for. 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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Send Data with the Qualetics API

Send an event with data to the system. 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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Delete Row with the MySQL API

Delete an existing row. See the docs here

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Overview of Qualetics#

The Qualetics API provides data intelligence as a service, allowing you to transform your data into actionable insights. With this API, you can perform advanced data analysis, predict trends, and generate reports to make informed decisions swiftly. On Pipedream, Qualetics can be integrated into workflows to automate data analysis, connect with other services for enriched data operations, and trigger actions based on the insights derived.

Connect Qualetics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    qualetics: {
      type: "app",
      app: "qualetics",
    }
  },
  async run({steps, $}) {
    const data = {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}};//"{{your_data}}";
    //E.g. {"actor":{"type":"User","id":"js1234"},"action":{"type":"ButtonClick"},"context":{"type":"Button","name":"Button1"}}
    return await axios($, {
      method: "post",
      url: `https://mq.qualetics.com/api/sendmessage?client_id=${this.qualetics.$auth.app_prefix}`,
      headers: {
        Authorization: `Bearer ${this.qualetics.$auth.oauth_access_token}`,      
      },
      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#

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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