Insert Multiple Rows with Snowflake API on New Message (Instant) from Discord API

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New Message (Instant) from the Discord 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 Discord 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 New Message (Instant) trigger
1. Connect your Discord account
2. Configure Channels
3. Configure discordApphook
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
7. Optional- Configure Batch Size
8. Optional- Configure Max Payload Size (MB)
9. Optional- Configure Enable Batch Processing
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 Message (Instant) on Discord

Description:Emit new event for each message posted to one or more channels in a Discord server

Version:1.0.3

Key:discord-new-message

View on GitHub

Discord Overview#

The Discord API interacts seamlessly with Pipedream, empowering you to craft customized automations and workflows for your Discord server. With this powerful integration, you can automate tasks like message posting, user management, and notifications, based on a myriad of triggers and actions from different apps. These automations can enhance the Discord experience for community moderators and members, by synchronizing with external tools, organizing community engagement, and streamlining notifications.

Trigger Code#

import discord from "../../discord.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  type: "source",
  key: "discord-new-message",
  name: "New Message (Instant)",
  description: "Emit new event for each message posted to one or more channels in a Discord server",
  version: "1.0.3",

  dedupe: "unique",
  props: {
    discord,
    channels: {
      type: "$.discord.channel[]",
      appProp: "discord",
      label: "Channels",
      description: "Select the channel(s) you'd like to be notified for",
    },
    // eslint-disable-next-line pipedream/props-label,pipedream/props-description
    discordApphook: {
      type: "$.interface.apphook",
      appProp: "discord",
      async eventNames() {
        return this.channels || [];
      },
    },
  },
  async run(event) {
    if (event.guildID != this.discord.$auth.guild_id) {
      return;
    }
    this.$emit(event, {
      id: event.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
Discord	`discord`	`app`	This component uses the Discord app.
Channels	`channels`	`$.discord.channel[]`	Select the channel(s) you'd like to be notified for
	`discordApphook`	`$.interface.apphook`

Trigger Authentication#

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

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

botemailidentifyguilds

About Discord#

Use this app to create a Discord source that emits messages from your guild to a Pipedream workflow.

Action#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.1.3

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: "0.1.3",
  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",
      ],
    },
    batchSize: {
      type: "integer",
      label: "Batch Size",
      description: "Number of rows to process per batch. Automatically calculated based on data size if not specified. Recommended: `50-200` for wide tables, `100-500` for narrow tables.",
      optional: true,
      default: 100,
      min: 10,
      max: 1000,
    },
    maxPayloadSizeMB: {
      type: "integer",
      label: "Max Payload Size (MB)",
      description: "Maximum payload size per batch in MB. Helps prevent `413 Payload Too Large` errors.",
      optional: true,
      default: 5,
      min: 1,
      max: 10,
    },
    enableBatching: {
      type: "boolean",
      label: "Enable Batch Processing",
      description: "Enable automatic batch processing for large datasets. Disable only for small datasets (< 50 rows) or troubleshooting.",
      optional: true,
      default: true,
    },
  },
  async run({ $ }) {
    let rows = this.values;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      try {
        rows = JSON.parse(rows);
      } catch (parseError) {
        throw new ConfigurationError("The row data could not be parsed as JSON. Please ensure it's a valid JSON array of arrays.");
      }
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row, index) => {
        if (!Array.isArray(row)) {
          console.log(`Row ${index + 1} is not an array:`, 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 expectedColumnCount = this.columns.length;
    const invalidRows = rows.filter((row, index) => {
      if (row.length !== expectedColumnCount) {
        console.error(`Row ${index + 1} has ${row.length} values but ${expectedColumnCount} columns specified`);
        return true;
      }
      return false;
    });

    if (invalidRows.length > 0) {
      throw new ConfigurationError(`${invalidRows.length} rows have a different number of values than the specified columns. Each row must have exactly ${expectedColumnCount} values to match the selected columns.`);
    }

    // Add batch processing options
    const batchOptions = {
      batchSize: this.batchSize,
      maxPayloadSizeMB: this.maxPayloadSizeMB,
      enableBatching: this.enableBatching,
    };

    try {
      const response = await this.snowflake.insertRows(
        this.tableName,
        this.columns,
        rows,
        batchOptions,
      );

      // Handle different response formats (batched vs single insert)
      if (response.summary) {
        // Batched response
        const { summary } = response;
        $.export("$summary", `Successfully inserted ${summary.totalRowsProcessed} rows into ${this.tableName} using ${summary.totalBatches} batches`);

        // Export detailed batch information
        $.export("batchDetails", {
          totalRows: summary.totalRows,
          totalBatches: summary.totalBatches,
          successfulBatches: summary.successfulBatches,
          failedBatches: summary.failedBatches,
          batchSize: summary.batchSize,
          processingTime: new Date().toISOString(),
        });

        // Export batch results for debugging if needed
        $.export("batchResults", summary.results);

        return response;

      } else {
        // Single insert response (small dataset or batching disabled)
        $.export("$summary", `Successfully inserted ${rows.length} rows into ${this.tableName}`);
        return response;
      }

    } catch (error) {
      // Enhanced error handling for batch processing
      if (error.summary) {
        // Partial failure in batch processing
        const { summary } = error;
        $.export("$summary", `Partial success: ${summary.totalRowsProcessed}/${summary.totalRows} rows inserted. ${summary.failedBatches} batches failed.`);
        $.export("batchDetails", summary);
        $.export("failedBatches", summary.results.filter((r) => !r.success));
      }

      // Re-throw the error with additional context
      if (error.message.includes("413") || error.message.includes("Payload Too Large")) {
        throw new ConfigurationError(
          `Payload too large error detected. Try reducing the batch size (current: ${this.batchSize}) or enable batching if disabled. ` +
          `You're trying to insert ${rows.length} rows with ${this.columns.length} columns each. ` +
          `Original error: ${error.message}`,
        );
      }

      throw error;
    }
  },
};

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.
Batch Size	`batchSize`	`integer`	Number of rows to process per batch. Automatically calculated based on data size if not specified. Recommended: `50-200` for wide tables, `100-500` for narrow tables.
Max Payload Size (MB)	`maxPayloadSizeMB`	`integer`	Maximum payload size per batch in MB. Helps prevent `413 Payload Too Large` errors.
Enable Batch Processing	`enableBatching`	`boolean`	Enable automatic batch processing for large datasets. Disable only for small datasets (< 50 rows) or troubleshooting.