← Snowflake + KVdb integrations

Get a Key Value with KVdb API on Failed Task in Schema from Snowflake API

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Trigger workflow on
Failed Task in Schema from the Snowflake API
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Get a Key Value with the KVdb API
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Getting Started

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

  1. Select this integration
  2. Configure the Failed Task in Schema trigger
    1. Connect your Snowflake account
    2. Configure timer
    3. Select a Database
    4. Select one or more Schema
    5. Optional- Configure Task Name
  3. Configure the Get a Key Value action
    1. Connect your KVdb account
    2. Configure key
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new events when a task fails in a database schema
Version:0.1.2
Key:snowflake-failed-task-in-schema

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.

Trigger Code

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

export default {
  ...common,
  props: {
    ...common.props,
    timer: {
      description: "Watch for failed tasks on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: 15 * 60,
      },
    },
    database: {
      propDefinition: [
        common.props.snowflake,
        "database",
      ],
    },
    schemas: {
      propDefinition: [
        common.props.snowflake,
        "schema",
        (configuredProps) => ({
          database: configuredProps.database,
        }),
      ],
      type: "string[]",
    },
    taskName: {
      type: "string",
      label: "Task Name",
      description: "The name of the task to watch for failures. It allows you to use Regex to match multiple tasks.",
      optional: true,
    },
  },
  type: "source",
  key: "snowflake-failed-task-in-schema",
  // eslint-disable-next-line
  name: "Failed Task in Schema",
  description: "Emit new events when a task fails in a database schema",
  version: "0.1.2",
  async run() {
    await this.emitFailedTasks({
      database: this.database,
      schemas: this.schemas,
      taskName: this.taskName,
    });
  },
};

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.
LabelPropTypeDescription
SnowflakesnowflakeappThis component uses the Snowflake app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Watch for failed tasks on this schedule

DatabasedatabasestringSelect a value from the drop down menu.
Schemaschemasstring[]Select a value from the drop down menu.
Task NametaskNamestring

The name of the task to watch for failures. It allows you to use Regex to match multiple tasks.

Trigger Authentication

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

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.

About Snowflake

A data warehouse built for the cloud

Action

Description:KVDB is designed for quick and easy integration into projects that need a globally accessible key-value database. To get started, create at API key at https://kvdb.io/
Version:0.1.1
Key:kvdb-get-key-value

KVdb Overview

The KVdb API is a key-value store that facilitates simple data storage and retrieval operations. On Pipedream, you can harness this API to build serverless workflows that require quick data access and state management. Whether you're needing to store user preferences, cache data for repeat use, or coordinate distributed processes, KVdb's straightforward RESTful interface can be integrated into Pipedream's workflows to provide persistent storage solutions.

Action Code

// legacy_hash_id: a_vgi821
import { axios } from "@pipedream/platform";

export default {
  key: "kvdb-get-key-value",
  name: "Get a Key Value",
  description: "KVDB is designed for quick and easy integration into projects that need a globally accessible key-value database. To get started, create at API key at https://kvdb.io/",
  version: "0.1.1",
  type: "action",
  props: {
    kvdb: {
      type: "app",
      app: "kvdb",
    },
    key: {
      type: "string",
    },
  },
  async run({ $ }) {
    const config = {
      url: `https://kvdb.io/${this.kvdb.$auth.api_key}/${this.key}`,
    };
    return await axios($, config);
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
KVdbkvdbappThis component uses the KVdb app.
keykeystring

Action Authentication

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

Not all API endpoints in KVdb require the use of an API key, however buckets can be protected with secret keys. They can be generated by sending a request the endpoint Create Bucket.

About KVdb

KVdb is designed for quick and easy integration into projects that need a globally accessible key-value database. To get started, create at API key at https://kvdb.io/

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