Integrate the PractiTest API with the Snowflake API

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

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Popular Ways to Connect PractiTest with Snowflake#

Create Requirement with PractiTest API on New Row from Snowflake API

Snowflake + PractiTest

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Create Run with PractiTest API on New Row from Snowflake API

Snowflake + PractiTest

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Create Requirement with PractiTest API on New Query Results from Snowflake API

Snowflake + PractiTest

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Create Run with PractiTest API on New Query Results from Snowflake API

Snowflake + PractiTest

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Execute Query with Snowflake API on Issue Created from PractiTest API

PractiTest + Snowflake

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Popular PractiTest and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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Issue Created from the PractiTest API

Emit new event for each new issue See docs here

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Test Created from the PractiTest API

Emit new event for each new test See docs here

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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Popular PractiTest and Snowflake Actions#

Create Requirement with the PractiTest API

Create a requirement See docs here

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Create Run with the PractiTest API

Create a run See docs here

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of PractiTest#

PractiTest is a test management tool that facilitates the organization, tracking, and planning of software testing processes by integrating with Pipedream's automation capabilities. With the PractiTest API, you're able to manipulate test cases, sets, runs, and report on results programmatically. This powerful combination opens the door to automated workflows that enhance testing processes, improve bug tracking, and provide real-time feedback to your team.

Connect PractiTest#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    practitest: {
      type: "app",
      app: "practitest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.practitest.com/api/v2/users.json`,
      auth: {
        username: `any`,
        password: `${this.practitest.$auth.api_token}`,
      },
    })
  },
})

Overview of Snowflake#

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.

Connect Snowflake#

import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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