Get Related UUIDs with Confection API on New Query Results from Snowflake API

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Trigger workflow on

New Query Results from the Snowflake API

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Get Related UUIDs with the Confection API

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Getting Started#

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

Select this integration
Configure the New Query Results trigger
1. Connect your Snowflake account
2. Configure timer
3. Configure SQL Query
4. Optional- Configure Primary key
5. Optional- Configure Emit individual events
Configure the Get Related UUIDs action
1. Connect your Confection account
2. Configure UUID
3. Optional- Configure Likeness Score
4. Optional- Configure Should the execution of this step be stopped if no results are found?
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 Query Results on Snowflake

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

Version:0.2.2

Key:snowflake-query-results

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.

Trigger Code#

import common from "../common.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.2.2",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    // Ordering props correctly
    timer: common.props.timer,
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for changes on this schedule
SQL Query	`sqlQuery`	`string`	Run this query on a schedule, triggering the workflow for each row of results
Primary key	`dedupeKey`	`string`	The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow
Emit individual events	`emitIndividualEvents`	`boolean`	Defaults to `true`, triggering workflows on each record in the result set. Set to `false` to emit records in batch (advanced)

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.

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#

Get Related UUIDs on Confection

Description:This action will retrieve all UUIDs that have a likeness score of at least 50 (default) with the provided UUID. The likeness score can be customized in configuration.

Version:0.1.0

Key:confection-get-related-uuids

View on GitHub

Confection Overview#

Confection API provides a robust solution for collecting, managing, and utilizing user data in compliance with privacy regulations. It helps businesses capture data lost due to ad blockers and privacy tech, ensuring you don't miss out on valuable insights. With Pipedream, you can harness this data in real-time, triggering actions, analyzing trends, or integrating with other services for a comprehensive data strategy.

Action Code#

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

export default {
  key: "confection-get-related-uuids",
  name: "Get Related UUIDs",
  type: "action",
  version: "0.1.0",
  description:
    "This action will retrieve all UUIDs that have a likeness score of at least 50 (default) with the provided UUID. The likeness score can be customized in configuration.",
  props: {
    confection,
    uuid: {
      propDefinition: [
        confection,
        "uuid",
      ],
      description: "Provide the UUID to retrieve related UUIDs of.",
    },
    likeness: {
      propDefinition: [
        confection,
        "likeness",
      ],
      description:
        "Accepts values 50 to 100. 100 meaning only pull back records where we are certain the UUIDs are the same record",
    },
    stopOnNoResults: {
      propDefinition: [
        confection,
        "stopOnNoResults",
      ],
      description:
        "If set to true, action execution will be halted when no related UUIDs are found and any subsequent steps that rely on data from this step will not be run.",
    },
  },
  async run({ $ }) {
    const data = await this.confection.getRelatedUUIDs(
      this.uuid,
      this.likeness,
      $,
    );

    if (data.related.length === 0 && this.stopOnNoResults === true) {
      throw new Error(
        `No related UUIDs with likeness score greater than or equal to ${this.likeness} were found.`,
      );
    }
    return data;
  },
};

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.

Label	Prop	Type	Description
Confection	`confection`	`app`	This component uses the Confection app.
UUID	`uuid`	`string`	Provide the UUID to retrieve related UUIDs of.
Likeness Score	`likeness`	`integer`	Accepts values 50 to 100. 100 meaning only pull back records where we are certain the UUIDs are the same record
Should the execution of this step be stopped if no results are found?	`stopOnNoResults`	`boolean`	If set to true, action execution will be halted when no related UUIDs are found and any subsequent steps that rely on data from this step will not be run.

Action Authentication#

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

Find your account ID and API keys here: https://dashboard.confection.io/my-keys

Need an account? Using Confection for the first time? Please see our quick-start guide: https://confection.io/quick-start/pipedream