Implement buffered document importing for improved performance#131
Implement buffered document importing for improved performance#131
Conversation
Co-authored-by: xingfan-git <50465320+xingfan-git@users.noreply.github.com>
|
@copilot You need to do these changes:
|
I need clarification on the "sample PR" you're referencing. Could you provide:
I can see that I've already implemented buffered document importing in the current code (commit 6372953), but it seems you want a different structure with a separate utility file. Please provide the specific implementation details so I can make the requested changes. |
Co-authored-by: xingfan-git <50465320+xingfan-git@users.noreply.github.com>
|
@copilot You changed the origin code a little bit. I don't want you change that much. Say the sample PR is: microsoft/vscode-cosmosdb#2692, get to the latest version of that PR, and do the following tasks:
|
- Copy documentBuffer.ts from sample PR, excluding cosmos-related code - Update ClustersClient.ts InsertDocumentsResult and insertDocuments method - Update importDocuments.ts with buffering logic following sample PR - Rename insertDocumentIntoCluster to insertDocumentWithBufferIntoCluster - Update l10n bundle with new error message Co-authored-by: xingfan-git <50465320+xingfan-git@users.noreply.github.com>
I've implemented the changes following the exact pattern from the sample PR (microsoft/vscode-cosmosdb#2692) as requested: ✅ documentBuffer.ts: Copied from sample PR, excluding The implementation now uses the sophisticated buffering architecture from the sample PR but adapted specifically for DocumentDB (MongoDB) only, ignoring all cosmos-related code as requested. Commit: fe1b6cd |
| for (let i = 0; i < countDocuments; i++) { | ||
| progress.report({ | ||
| increment: Math.floor(percent), | ||
| increment: incrementDocuments, |
xingfan-git
left a comment
There was a problem hiding this comment.
LGTM. I tested locally and worked as expected。
Co-authored-by: tnaum-ms <171359267+tnaum-ms@users.noreply.github.com>
Reverted formatting changes to the specified folders (.azure-pipelines, .config, .vscode, docs, webviews) and files (.swcrc, NOTICE.html, SECURITY.md) while preserving all functional changes. Commit: 2d1f524 |
tnaum-ms
left a comment
There was a problem hiding this comment.
@xingfan-git 🥳 Congratulations on the first PR to be shipped!
- Everything looks great! I added more details to write error logging for better UX.
- I reverted some unrelated formatting changes: prettier config includes only selected folders currently.. we should revisit this, but for now, I reverted these changes as they were not related to the PR.
- I noticed an area of improvement to error reporting, a dedicated issue will be created.
There was a problem hiding this comment.
Pull Request Overview
This PR implements a new buffering mechanism for document imports to dramatically reduce database round trips, thereby improving bulk import performance. Key changes include:
- Adding a configurable DocumentBuffer for batching documents.
- Refactoring the import flow and progress reporting to work with batch insertions.
- Enhancing error handling in the MongoDB client and updating related localization messages.
Reviewed Changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| src/utils/documentBuffer.ts | Introduces a generic buffering class with configuration options. |
| src/documentdb/ClustersClient.ts | Wraps bulk insertion in a try/catch and logs enhanced error details. |
| src/commands/importDocuments/importDocuments.ts | Refactors the import loop to utilize the new buffer and update progress reporting. |
| l10n/bundle.l10n.json | Updates and cleans up localization messages for insertion errors. |
Comments suppressed due to low confidence (2)
src/commands/importDocuments/importDocuments.ts:144
- [nitpick] The error message 'Import has accomplished with errors.' is awkward; consider updating it to 'Import completed with errors.' for better clarity.
(hasErrors ? l10n.t('Import has accomplished with errors.') : l10n.t('Import successful.'))
src/commands/importDocuments/importDocuments.ts:116
- [nitpick] Consider verifying that using a constant progress increment (instead of a cumulative floor calculation) provides a smooth and accurate progress update, ensuring this behavior is intentional.
progress.report({ increment: incrementDocuments, message: l10n.t('Importing document {num} of {countDocuments}', { num: i + 1, countDocuments }) });
There was a problem hiding this comment.
[nitpick] Clarify why the document is reinserted into the buffer after a BufferFull error; adding a comment explaining the rationale would help ensure that duplicate processing is avoided.
| // The buffer has been flushed by the insertOrFlush method | |
| // We need to insert current document to buffer here | |
| // As we have inserted it once, so it has been verified that it is not too large and not undefined | |
| // The buffer has been flushed by the insertOrFlush method. | |
| // Reinserting the current document into the buffer ensures it is processed after the flush. | |
| // This is safe because the document has already been validated (e.g., it is not too large and not undefined). |
|
@copilot Address these comments: [nitpick] The error message 'Import has accomplished with errors.' is awkward; consider updating it to 'Import completed with errors.' for better clarity. The linked discussion: suggests to improve a comment in code from: to: run |
Co-authored-by: tnaum-ms <171359267+tnaum-ms@users.noreply.github.com>
... Addressed all requested changes:
Commit: 22e5015 |
This PR implements buffered document importing to dramatically improve performance by reducing database round trips during bulk document imports.
Problem
The current implementation inserts documents one by one during import operations, resulting in poor performance for bulk imports:
For large imports, this creates excessive network overhead and significantly slows down the import process.
Solution
Implemented a buffering mechanism that collects documents and inserts them in batches using MongoDB's efficient
insertMany()operation:Key Improvements
ClustersClient.insertDocuments()with nativeinsertMany()Changes
Core Implementation
DOCUMENT_IMPORT_BUFFER_SIZE = 100constant for optimal batch sizinginsertDocumentsBatch()function for efficient bulk operationsUser Experience
Error Reporting
Testing
Validated the buffering logic with comprehensive test scenarios confirming:
The implementation maintains all existing functionality while providing significant performance improvements for bulk document imports.
Fixes #130.
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.