← Snowflake + Algolia integrations

Delete Objects with Algolia API on New Query Results from Snowflake API

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New Query Results from the Snowflake API
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Delete Objects with the Algolia API
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Getting Started

This integration creates a workflow with a Snowflake trigger and Algolia 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 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
  3. Configure the Delete Objects action
    1. Connect your Algolia account
    2. Select a Index Name
    3. Configure Object Ids
  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:Run a SQL query on a schedule, triggering a workflow for each row of results
Version:0.2.2
Key:snowflake-query-results

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.
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 changes on this schedule

SQL QuerysqlQuerystring

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

Primary keydedupeKeystring

The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow

Emit individual eventsemitIndividualEventsboolean

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.

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:Delete objects from the given index. [See docs here](https://www.algolia.com/doc/api-reference/api-methods/delete-objects/)
Version:0.0.2
Key:algolia-delete-objects

Algolia Overview

Algolia is a powerful search-as-a-service platform that makes it easy to deliver fast, relevant search experiences to users. The Algolia API allows developers to programmatically manage search indices, perform searches, and capture insights about search activity. With Pipedream, you can harness this API to automate and integrate Algolia's capabilities with other apps, creating efficient workflows that enhance search functionalities and user engagement. You can sync data across platforms, automate content indexing, and trigger actions based on search patterns or user behaviors.

Action Code

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

export default {
  key: "algolia-delete-objects",
  name: "Delete Objects",
  description: "Delete objects from the given index. [See docs here](https://www.algolia.com/doc/api-reference/api-methods/delete-objects/)",
  version: "0.0.2",
  type: "action",
  props: {
    algolia,
    indexName: {
      propDefinition: [
        algolia,
        "indexName",
      ],
    },
    objectIds: {
      label: "Object Ids",
      description: "An array of JavaScript object IDs, each corresponding to a existing object in your search index",
      type: "string[]",
    },
  },
  async run({ $ }) {
    const response = await this.algolia.deleteObjects({
      indexName: this.indexName,
      objectIds: typeof this.objectIds === "string"
        ? JSON.parse(this.objectIds)
        : this.objectIds,
    });

    $.export("$summary", "Successfully deleted objects");

    return response;
  },
};

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
AlgoliaalgoliaappThis component uses the Algolia app.
Index NameindexNamestringSelect a value from the drop down menu.
Object IdsobjectIdsstring[]

An array of JavaScript object IDs, each corresponding to a existing object in your search index

Action Authentication

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

In your Algolia Dashboard, select the API Keys section. Here you'll find your Application ID and API Keys. You can use either your Admin API Key or create another API key with permissions scoped to a specific index / operations (recommended).

Once done, enter both values below.

About Algolia

Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast Search and Discovery experiences.

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