feat(database): add index creation to database seeding process #24
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This commit introduces a new step in the database seeding process to ensure that necessary text search indexes are created on the 'headlines', 'topics', and 'sources' collections. The `_ensureIndexes` method is added to the DatabaseSeedingService class and is called at the beginning of the `seedInitialData` method. The new indexes will enable efficient text searches on the 'title' field of headlines, the 'name' field of topics, and the 'name' field of sources. This enhancement is crucial for improving the performance of search operations within the application.
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Summary of Changes
Hello @fulleni, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces a significant enhancement to the database seeding process by integrating the creation of essential text search indexes. This change ensures that critical collections like 'headlines', 'topics', and 'sources' are properly indexed from the start, which is vital for improving the performance and efficiency of search operations within the application.
Highlights
- Automated Index Creation: A new private method,
_ensureIndexes, has been added to theDatabaseSeedingServiceand is now called at the beginning of theseedInitialDatamethod. This ensures that necessary text search indexes are created automatically as part of the database seeding process. - Improved Search Performance: Text indexes are now created on the 'title' field of the 'headlines' collection and the 'name' field of both 'topics' and 'sources' collections. This enhancement is crucial for improving the performance of text search operations within the application.
- Idempotent Indexing: The
_ensureIndexesmethod is designed to be idempotent, meaning it will only create indexes if they do not already exist, preventing errors or redundant operations on subsequent seeding runs.
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Code Review
This pull request adds a crucial feature for creating database indexes during the seeding process, which will improve search performance. The implementation is clear and includes good error handling. I have one suggestion to improve the efficiency of the index creation by running the operations in parallel. I also recommend refactoring the hardcoded collection and field names into constants to improve maintainability.
| // Text index for searching headlines by title | ||
| await _db.collection('headlines').createIndex( | ||
| keys: {'title': 'text'}, | ||
| name: 'headlines_text_index', | ||
| ); | ||
|
|
||
| // Text index for searching topics by name | ||
| await _db.collection('topics').createIndex( | ||
| keys: {'name': 'text'}, | ||
| name: 'topics_text_index', | ||
| ); | ||
|
|
||
| // Text index for searching sources by name | ||
| await _db.collection('sources').createIndex( | ||
| keys: {'name': 'text'}, | ||
| name: 'sources_text_index', | ||
| ); |
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This block can be improved for both efficiency and maintainability:
-
Efficiency: The three
createIndexoperations are independent and can be executed in parallel usingFuture.wait. This will make the seeding process faster, which is beneficial during application startup. -
Maintainability: The code uses several hardcoded strings for collection names, field names, and index names (e.g.,
'headlines','title'). This is a "magic string" anti-pattern that can lead to typos and make the code harder to maintain. It's a best practice in Dart to define these asstatic constvariables.
The suggestion below addresses the efficiency point. I strongly recommend also refactoring the string literals into constants for better code quality.
// Run index creation in parallel for efficiency.
await Future.wait([
_db.collection('headlines').createIndex(
keys: {'title': 'text'},
name: 'headlines_text_index',
),
_db.collection('topics').createIndex(
keys: {'name': 'text'},
name: 'topics_text_index',
),
_db.collection('sources').createIndex(
keys: {'name': 'text'},
name: 'sources_text_index',
),
]);
This commit introduces a new step in the database seeding process to ensure that necessary text search indexes are created on the 'headlines', 'topics', and 'sources' collections. The
_ensureIndexesmethod is added to the DatabaseSeedingService class and is called at the beginning of theseedInitialDatamethod.The new indexes will enable efficient text searches on the 'title' field of headlines, the 'name' field of topics, and the 'name' field of sources. This enhancement is crucial for improving the performance of search operations within the application.
Status
READY/IN DEVELOPMENT/HOLD
Description
Type of Change