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Failed Task in Schema from Snowflake API

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Failed Task in Schema from the Snowflake API
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Getting Started

Trigger a workflow on Failed Task in Schema with Snowflake API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. 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
  2. Add steps to connect to 2,200+ APIs using code and no-code building blocks
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Failed Task in Schema on Snowflake
Description:Emit new events when a task fails in a database schema
Version:0.1.2
Key:snowflake-failed-task-in-schema

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,
    });
  },
};

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.

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

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