Insert Multiple Rows with Snowflake API on New Spreadsheet (Instant) from Google Drive API

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New Spreadsheet (Instant) from the Google Drive 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 Google Drive 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 Spreadsheet (Instant) trigger
1. Connect your Google Drive account
2. Select a Drive
3. Configure Push notification renewal schedule
4. Optional- Select one or more Folders
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 Spreadsheet (Instant) on Google Drive

Description:Emit new event when a new spreadsheet is created in a drive.

Version:0.1.17

Key:google_drive-new-spreadsheet

View on GitHub

Google Drive Overview#

The Google Drive API on Pipedream allows you to automate various file management tasks, such as creating, reading, updating, and deleting files within your Google Drive. You can also share files, manage permissions, and monitor changes to files and folders. This opens up possibilities for creating workflows that seamlessly integrate with other apps and services, streamlining document handling, backup processes, and collaborative workflows.

Trigger Code#

import newFilesInstant from "../new-files-instant/new-files-instant.mjs"; export default { ...newFilesInstant, key: "google_drive-new-spreadsheet", type: "source", name: "New Spreadsheet (Instant)", description: "Emit new event when a new spreadsheet is created in a drive.", version: "0.1.17", props: { googleDrive: newFilesInstant.props.googleDrive, db: newFilesInstant.props.db, http: newFilesInstant.props.http, drive: newFilesInstant.props.drive, timer: newFilesInstant.props.timer, folders: { ...newFilesInstant.props.folders, description: "(Optional) The folders you want to watch. Leave blank to watch for any new spreadsheet in the Drive.", }, }, hooks: { ...newFilesInstant.hooks, async deploy() { // Emit sample records on the first run const spreadsheets = await this.getSpreadsheets(5); for (const fileInfo of spreadsheets) { const createdTime = Date.parse(fileInfo.createdTime); this.$emit(fileInfo, { summary: `New File: ${fileInfo.name}`, id: fileInfo.id, ts: createdTime, }); } }, }, methods: { ...newFilesInstant.methods, shouldProcess(file) { return ( file.mimeType.includes("spreadsheet") && newFilesInstant.methods.shouldProcess.bind(this)(file) ); }, getSpreadsheetsFromFolderOpts(folderId) { const mimeQuery = "mimeType = 'application/vnd.google-apps.spreadsheet'"; let opts = { q: `${mimeQuery} and parents in '${folderId}' and trashed = false`, }; if (!this.isMyDrive()) { opts = { corpora: "drive", driveId: this.getDriveId(), includeItemsFromAllDrives: true, supportsAllDrives: true, ...opts, }; } return opts; }, getSpreadsheetsFromFiles(files, limit) { return files.reduce(async (acc, file) => { const spreadsheets = await acc; const fileInfo = await this.googleDrive.getFile(file.id); return spreadsheets.length >= limit ? spreadsheets : spreadsheets.concat(fileInfo); }, []); }, async getSpreadsheets(limit) { const foldersIds = this.folders; if (!foldersIds.length) { const opts = this.getSpreadsheetsFromFolderOpts("root"); const { files } = await this.googleDrive.listFilesInPage(null, opts); return this.getSpreadsheetsFromFiles(files, limit); } return foldersIds.reduce(async (spreadsheets, folderId) => { const opts = this.getSpreadsheetsFromFolderOpts(folderId); const { files } = await this.googleDrive.listFilesInPage(null, opts); const nextSpreadsheets = await this.getSpreadsheetsFromFiles(files, limit); return (await spreadsheets).concat(nextSpreadsheets); }, []); }, }, };

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
Google Drive	`googleDrive`	`app`	This component uses the Google Drive app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Drive	`drive`	`string`	Select a value from the drop down menu.
Folders	`folders`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

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

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

https://www.googleapis.com/auth/drive

About Google Drive#

Google Drive is a file storage and synchronization service which allows you to create and share your work online, and access your documents from anywhere.

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 3,000+ 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.

Action 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.

About Snowflake#

A data warehouse built for the cloud

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