Insert Multiple Rows with Snowflake API on Watch Pages from Confluence API

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Watch Pages from the Confluence API

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Insert Multiple Rows with the Snowflake API

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Getting Started#

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

Select this integration
Configure the Watch Pages trigger
1. Connect your Confluence account
2. Configure timer
Configure the Insert Multiple Rows action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
5. Select one or more Columns
6. Configure Row Values
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#

Watch Pages on Confluence

Description:Emit new event when a page is created or updated in Confluence

Version:0.0.1

Key:confluence-watch-pages

View on GitHub

Confluence Overview#

The Confluence API allows you to harness the collaborative power of Confluence programmatically. With it, you can automate content creation, update pages, manage spaces, and extract data for reporting or integration with other tools. Leveraging this API within Pipedream enables streamlined workflows that can react to events or schedule tasks, interacting with Confluence data and connecting to an array of other apps and services.

Trigger Code#

import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "confluence-watch-pages",
  name: "Watch Pages",
  description: "Emit new event when a page is created or updated in Confluence",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceFn() {
      return this.confluence.listPages;
    },
    async getArgs() {
      return {
        cloudId: await this.confluence.getCloudId(),
        params: {
          sort: "-modified-date",
        },
      };
    },
    getTs(post) {
      return Date.parse(post.version.createdAt);
    },
    getSummary(post) {
      return `New or updated page with ID ${post.id}`;
    },
  },
  sampleEmit,
};

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
Confluence	`confluence`	`app`	This component uses the Confluence app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

Confluence uses OAuth authentication. When you connect your Confluence account, Pipedream will open a popup window where you can sign into Confluence and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Confluence API.

Pipedream requests the following authorization scopes when you connect your account:

write:confluence-contentread:confluence-space.summarywrite:confluence-spacewrite:confluence-fileread:confluence-propswrite:confluence-propsmanage:confluence-configurationread:confluence-content.allread:confluence-content.summarysearch:confluenceread:meoffline_accessread:space:confluenceread:blogpost:confluencewrite:blogpost:confluencedelete:blogpost:confluenceread:page:confluencewrite:page:confluencedelete:page:confluence

About Confluence#

Get, create, update, and delete content, spaces, and more.

Action#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.0.11

Key:snowflake-insert-multiple-rows

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.

Action Code#

import snowflake from "../../snowflake.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  type: "action",
  key: "snowflake-insert-multiple-rows",
  name: "Insert Multiple Rows",
  description: "Insert multiple rows into a table",
  version: "0.0.11",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add rows",
    },
    columns: {
      propDefinition: [
        snowflake,
        "columns",
        (c) => ({
          tableName: c.tableName,
        }),
      ],
    },
    values: {
      propDefinition: [
        snowflake,
        "values",
      ],
    },
  },
  async run({ $ }) {
    let rows = this.values;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(rows);
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row) => { if (!Array.isArray(row)) { inputValidated = false; } });
    }

    // Throw an error if input validation failed
    if (!inputValidated) {
      throw new ConfigurationError("The row data you passed is not an array of arrays. Please enter an array of arrays in the `Values` parameter above. If you're trying to add a single row to Snowflake, select the **Insert Single Row** action.");
    }

    const response = await this.snowflake.insertRows(this.tableName, this.columns, this.values);
    $.export("$summary", `Successfully inserted ${this.values.length} rows in ${this.tableName}`);
    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.

Label	Prop	Type	Description
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Values	`values`	`string`	Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a value (e.g., passing `[["Foo",1,2],["Bar",3,4]]` will insert two rows of data with three columns each). The most common pattern is to reference an array of arrays exported by a previous step (e.g., `{{steps.foo.$return_value}}`). You may also enter or construct a string that will `JSON.parse()` to an array of arrays.