Insert Multiple Rows with Snowflake API on New Comment from Wordpress.com API

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New Comment from the Wordpress.com 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 Wordpress.com 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 Comment trigger
1. Connect your Wordpress.com account
2. Select a Site ID or Domain
3. Optional- Select a Post ID
4. Optional- Configure Maximum Comments to Fetch
5. 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
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 Comment on Wordpress.com

Description:Emit new event for each new comment added since the last run. If no new comments, emit nothing.

Version:0.0.2

Key:wordpress_com-new-comment

View on GitHub

Wordpress.com Overview#

The Wordpress.com API empowers developers to extend and integrate their website's capabilities with custom automations and connections to a multitude of apps. Through Pipedream's serverless platform, you have the ability to automate content management tasks such as posting new articles, managing comments, and synchronizing users. This can streamline content workflows, enhance user engagement, and keep your site's data in sync with other services like social media, email marketing platforms, and analytics tools.

Trigger Code#

import wordpress from "../../wordpress_com.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "wordpress_com-new-comment",
  name: "New Comment",
  description: "Emit new event for each new comment added since the last run. If no new comments, emit nothing.",
  version: "0.0.2",
  type: "source",
  dedupe: "unique",
  methods: {
    getWordpressComments($) {
      return this.wordpress.getWordpressComments({
        $,
        site: this.site,
        postId: this.postId,
        number: this.number,
      });
    },
  },
  props: {
    wordpress,
    db: "$.service.db",
    site: {
      propDefinition: [
        wordpress,
        "siteId",
      ],
    },
    postId: {
      propDefinition: [
        wordpress,
        "postId",
        (c) => ({
          site: c.site,
        }),
      ],
      description: "Enter a specific post ID to fetch comments for only that post. Leave empty to fetch all comments.",
      optional: true,
    },
    number: {
      type: "integer",
      label: "Maximum Comments to Fetch",
      description: "The number of most recent comments to fetch each time the source runs",
      default: 10,
      optional: true,
      min: 1,
      max: 100,
    },
    timer: {
      type: "$.interface.timer",
      label: "Timer",
      description: "How often to poll WordPress for new comments.",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  hooks: {
    async activate() {

      const {
        wordpress,
        db,
      } = this;

      await this.db.set("lastCommentId", null); //reset

      const response = await this.getWordpressComments();

      const comments = response.comments || [];

      await wordpress.initialize(comments, db, "lastCommentId");
    },
  },

  async run({ $ }) {

    const {
      wordpress,
      db,
    } = this;

    const response = await this.getWordpressComments({
      $,
    });

    const comments = response.comments || [];
    const lastCommentId = Number(await db.get("lastCommentId"));

    if (!lastCommentId)  await wordpress.initialize(comments, db, "lastCommentId");

    let maxCommentIdTracker = lastCommentId;
    const newComments = [];

    for (const comment of comments) {
      if (Number(comment.ID) > lastCommentId) {
        newComments.push(comment);
        if (Number(comment.ID) > maxCommentIdTracker) {
          maxCommentIdTracker = comment.ID;
        }
      }
    }

    for (const comment of newComments.reverse()) {
      this.$emit(comment, {
        id: comment.ID,
        summary: comment.author?.name || "Anonymous Comment",
        ts: comment.date && +new Date(comment.date),
      });
    }

    // Update last seen comment ID
    if (newComments.length > 0) {
      await db.set("lastCommentId", maxCommentIdTracker);
      console.log(`Checked for new comments. Emitted ${newComments.length} comment(s).`);
    } else {
      console.log("No new comments found.");
    }
  },
};

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
Wordpress.com	`wordpress`	`app`	This component uses the Wordpress.com app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Site ID or Domain	`site`	`string`	Select a value from the drop down menu.
Post ID	`postId`	`string`	Select a value from the drop down menu.
Maximum Comments to Fetch	`number`	`integer`	The number of most recent comments to fetch each time the source runs
Timer	`timer`	`$.interface.timer`	How often to poll WordPress for new comments.

Trigger Authentication#

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

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

global

About Wordpress.com#

Hosted Wordpress

Action#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.1.4

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: "0.1.4",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  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.