Segment

Customer data platform

Integrate the Segment API with the MySQL API

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

Associate an identified user with a group with Segment API on New Column from MySQL API
MySQL + Segment
 
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Associate an identified user with a group with Segment API on New or Updated Row from MySQL API
MySQL + Segment
 
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Associate an identified user with a group with Segment API on New Row (Custom Query) from MySQL API
MySQL + Segment
 
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Associate an identified user with a group with Segment API on New Row from MySQL API
MySQL + Segment
 
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Associate an identified user with a group with Segment API on New Table from MySQL API
MySQL + Segment
 
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Webhook Destination (Instant) from the Segment API

Send events to a webhook. Requires a Team or Business account.

 
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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 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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Associate an identified user with a group with the Segment API

Group lets you associate an identified user with a group (note requires userId or anonymousId). 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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Associate one identity with another with the Segment API

Alias is how you associate one identity with another. 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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Identify a user, tie them to their actions and record traits about them with the Segment API

Identify lets you tie a user to their actions and record traits about them. It includes a unique User ID and any optional traits you know about them (note requires userId or anonymousId). See the docs here

 
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Overview of Segment

The Segment API enables you to collect, manage, and route your customer analytics data to various tools for marketing, analytics, and data warehousing. By harnessing the Segment API on Pipedream, you can automate the ingestion and syncing of user events and properties to multiple destinations, allowing you to create seamless data pipelines without manual intervention. Pipedream's serverless platform empowers you to build custom workflows that react to events in real-time, enrich data, or trigger actions across your tech stack.

Connect Segment

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    segment: {
      type: "app",
      app: "segment",
    }
  },
  async run({steps, $}) {
    const data = {
      "event": `PipedreamTestOrder`,
      "anonymousId": `019mr8mf4r`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.segment.io/v1/track`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.segment.$auth.write_key}`,
        password: ``,
      },
      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

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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
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});