Set a Key Value with KVdb API on New Query Results from Snowflake API

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New Query Results from the Snowflake API

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Set 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.

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 Set a Key Value action
1. Connect your KVdb account
2. Configure key
3. Configure value
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:0.1.11

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: "0.1.11",
  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.

Enter the username, password, and other details below. The account field expects your Snowflake account identifier. You may need to include the full identifier and region as a part of this string, e.g. au12345.us-east-1. Please consult your instance and Snowflake docs for more detail.

About Snowflake#

A data warehouse built for the cloud

Action#

Set a Key Value on KVdb

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-set-key-value

View on GitHub

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_bKiP3K
import { axios } from "@pipedream/platform";

export default {
  key: "kvdb-set-key-value",
  name: "Set 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",
      description: "The maximum length of a key is 128 bytes.",
    },
    value: {
      type: "string",
    },
  },
  async run({ $ }) {
    const config = {
      method: "post",
      url: `https://kvdb.io/${this.kvdb.$auth.api_key}/${this.key}`,
      headers: {
        "Content-Type": "application/x-www-form-urlencoded",
      },
      data: this.value,
    };
    return await axios($, 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.

Label	Prop	Type	Description
KVdb	`kvdb`	`app`	This component uses the KVdb app.
key	`key`	`string`	The maximum length of a key is 128 bytes.
value	`value`	`string`

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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Popular Actions#

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