Execute SQL Query with Snowflake API on New Segment Treshold Alert Event from Fullstory API

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New Segment Treshold Alert Event from the Fullstory API

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Execute SQL Query with the Snowflake API

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Getting Started#

This integration creates a workflow with a Fullstory trigger and Snowflake action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Segment Treshold Alert Event trigger
1. Connect your Fullstory account
Configure the Execute SQL Query action
1. Connect your Snowflake account
2. Configure SQL Query
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 Segment Treshold Alert Event on Fullstory

Description:Emit new events when segment treshold alerts occur. [See the docs here](https://developer.fullstory.com/segment-threshold-alert)

Version:0.0.1

Key:fullstory-segment-treshold-alert

View on GitHub

Fullstory Overview#

The Fullstory API unlocks a treasure trove of user session data, enabling developers to automate deep insights into customer experiences on their digital platforms. Leveraging this API on Pipedream allows you to craft custom workflows that respond to specific user interactions, seamlessly integrate session insights with other tools, and trigger actions based on user behavior metrics. It's a boon for teams aiming to enhance user experience, address pain points, and bolster conversion rates.

Trigger Code#

import common from "../common.mjs";

export default {
  key: "fullstory-segment-treshold-alert",
  name: "New Segment Treshold Alert Event",
  description: "Emit new events when segment treshold alerts occur. [See the docs here](https://developer.fullstory.com/segment-threshold-alert)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  ...common,
  methods: {
    ...common.methods,
    getMeta(event) {
      const date = event?.body?.data?.timestamp ?
        new Date(event?.body?.data?.timestamp).getTime() :
        Date.now();
      return {
        id: date,
        ts: date,
        summary: `New segment treshold alert: ${event?.body?.data?.notificationUrl}`,
      };
    },
    getEvents() {
      return [
        {
          eventName: "segment.trend.alert",
        },
      ];
    },
  },
};

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
Fullstory	`app`	`app`	This component uses the Fullstory app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

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

Find your API key under Settings > Integrations & API Keys

About Fullstory#

Customer experience data in one powerful, easy-to-use platform

Action#

Execute SQL Query on Snowflake

Description:Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:0.2.0

Key:snowflake-execute-sql-query

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Action Code#

import snowflake from "../../snowflake.app.mjs";

export default {
  name: "Execute SQL Query",
  version: "0.2.0",
  key: "snowflake-execute-sql-query",
  description: "Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  type: "action",
  props: {
    snowflake,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "snowflake",
      },
      label: "SQL Query",
    },
  },
  async run({ $ }) {
    const args = this.snowflake.executeQueryAdapter(this.sql);

    const data = await this.snowflake.executeQuery(args);

    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);

    return data;
  },
};