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Implement cache limit feature
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README.md

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-- Optionally, check cache info
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select gaggle_cache_info();
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-- Enforce cache size limit manually (automatic with soft limit by default)
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select gaggle_enforce_cache_limit();
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```
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[![Simple Demo 1](https://asciinema.org/a/745806.svg)](https://asciinema.org/a/745806)
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---
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### Configuration
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Gaggle can be configured using environment variables:
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#### Cache Management
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```bash
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# Set cache size limit (default: 100GB = 102400 MB)
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export GAGGLE_CACHE_SIZE_LIMIT_MB=51200 # 50GB
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# Set unlimited cache
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export GAGGLE_CACHE_SIZE_LIMIT_MB=unlimited
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# Set cache directory (default: ~/.cache/gaggle_cache or platform-specific)
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export GAGGLE_CACHE_DIR=/path/to/cache
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# Enable hard limit mode (prevents downloads when limit reached, default: soft limit)
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export GAGGLE_CACHE_HARD_LIMIT=true
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```
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#### Network Configuration
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```bash
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# HTTP timeout in seconds (default: 30)
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export GAGGLE_HTTP_TIMEOUT=60
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# HTTP retry attempts (default: 3)
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export GAGGLE_HTTP_RETRY_ATTEMPTS=5
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# HTTP retry delay in milliseconds (default: 1000)
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export GAGGLE_HTTP_RETRY_DELAY_MS=500
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# HTTP retry max delay in milliseconds (default: 30000)
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export GAGGLE_HTTP_RETRY_MAX_DELAY_MS=60000
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```
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#### Authentication
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```bash
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# Kaggle API credentials (alternative to ~/.kaggle/kaggle.json)
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export KAGGLE_USERNAME=your-username
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export KAGGLE_KEY=your-api-key
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```
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> [!TIP]
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> **Soft Limit (Default):** Downloads complete even if they exceed the cache limit, then oldest datasets are automatically evicted using LRU (Least Recently Used) policy until under limit.
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>
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> **Hard Limit:** Would prevent downloads when limit is reached (not yet fully implemented).
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---
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### Documentation
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Check out the [docs](docs/README.md) directory for the API documentation, how to build Gaggle from source, and more.

ROADMAP.md

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* [x] List files in a dataset.
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* [x] Get dataset metadata.
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* [ ] Upload DuckDB tables to Kaggle.
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* [ ] Dataset version awareness and tracking.
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* [ ] Download specific dataset versions.
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* [ ] Check for dataset updates.
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### 2. Caching and Storage
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* **Cache Management**
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* [x] Automatic caching of downloaded datasets.
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* [x] Clear cache functionality.
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* [x] Get cache information (size and storage location).
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* [ ] Set cache size limit.
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* [ ] Cache expiration policies.
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* [x] Set cache size limit.
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* **Storage**
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* [x] Store datasets in configurable directory.
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* [ ] Support for cloud storage backends (S3, GCS, and Azure).

docs/BUG_FIXES_AND_IMPROVEMENTS.md

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4. **Robustness**: Environment-independent tests, proper error propagation
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The project is now in a solid state for production use with proper security measures, comprehensive test coverage, and reliable concurrency handling.
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docs/CACHE_LIMIT_IMPLEMENTATION.md

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# Cache Size Limit Implementation - Complete
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**Date:** November 2, 2025
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**Feature:** Cache Size Limit with Soft Limit Support
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**Status:** ✅ Implemented and Tested
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## Overview
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Implemented a configurable cache size limit with LRU (Least Recently Used) eviction policy to prevent unbounded disk usage. The cache limit is soft by default, meaning downloads complete even if they exceed the limit, then cleanup happens afterwards.
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## Configuration
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### Environment Variables
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| Variable | Type | Default | Description |
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|----------|------|---------|-------------|
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| `GAGGLE_CACHE_SIZE_LIMIT_MB` | integer or "unlimited" | `102400` (100GB) | Maximum cache size in megabytes |
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| `GAGGLE_CACHE_HARD_LIMIT` | boolean | `false` (soft limit) | If true, prevents downloads when limit would be exceeded |
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### Examples
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```bash
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# Set 50GB limit
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export GAGGLE_CACHE_SIZE_LIMIT_MB=51200
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# Set unlimited cache
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export GAGGLE_CACHE_SIZE_LIMIT_MB=unlimited
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# Enable hard limit (prevent downloads if over limit)
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export GAGGLE_CACHE_HARD_LIMIT=true
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```
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## Features Implemented
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### 1. Cache Metadata Tracking
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- Each dataset now stores metadata in `.downloaded` marker file
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- Tracks: download time (seconds since epoch), dataset path, size (MB), version
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- Legacy markers without metadata are handled gracefully
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```rust
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struct CacheMetadata {
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downloaded_at_secs: u64, // Unix timestamp
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dataset_path: String, // "owner/dataset"
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size_mb: u64, // Dataset size in megabytes
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version: Option<String>, // Dataset version (for future use)
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}
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```
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### 2. LRU Eviction Policy
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- When cache exceeds limit, oldest datasets are evicted first
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- Eviction continues until cache is under limit
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- Failed evictions are logged but don't stop the process
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### 3. Soft Limit (Default)
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- Downloads complete even if they would exceed the limit
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- After successful download, cache cleanup is triggered
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- Cleanup failures don't fail the download
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### 4. Enhanced Cache Info
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The `gaggle_cache_info()` function now returns:
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```json
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{
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"path": "/path/to/cache",
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"size_mb": 45231,
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"limit_mb": 102400,
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"usage_percent": 44,
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"is_soft_limit": true,
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"type": "local"
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}
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```
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### 5. Manual Cache Enforcement
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New SQL function: `gaggle_enforce_cache_limit()`
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```sql
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-- Manually trigger cache cleanup
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SELECT gaggle_enforce_cache_limit();
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```
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## API Changes
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### Rust API
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```rust
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// Get total cache size
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pub fn get_total_cache_size_mb() -> Result<u64, GaggleError>;
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// Manually enforce cache limit
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pub fn enforce_cache_limit_now() -> Result<(), GaggleError>;
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```
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### C FFI
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```c
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// Enforce cache limit (returns 0 on success, -1 on failure)
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int32_t gaggle_enforce_cache_limit();
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```
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### SQL Functions
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```sql
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-- Get cache information (includes limit and usage)
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SELECT gaggle_cache_info();
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-- Manually enforce cache limit
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SELECT gaggle_enforce_cache_limit();
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```
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## Implementation Details
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### File Structure
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**Modified Files:**
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1. `gaggle/src/config.rs` - Added cache limit configuration functions
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2. `gaggle/src/kaggle/download.rs` - Added metadata tracking and eviction logic
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3. `gaggle/src/ffi.rs` - Updated cache info and added enforce function
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4. `gaggle/src/lib.rs` - Exported new function
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5. `gaggle/bindings/gaggle_extension.cpp` - Added C++ bindings
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### Cache Directory Structure
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```
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gaggle_cache/
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└── datasets/
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└── owner1/
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└── dataset1/
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├── .downloaded # Metadata file (JSON)
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├── file1.csv
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└── file2.json
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```
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### Eviction Algorithm
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1. Get all cached datasets with their metadata
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2. Calculate total cache size
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3. If under limit, return
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4. Sort datasets by age (oldest first)
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5. Evict datasets until under limit
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6. Log each eviction with age and size info
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### Size Calculation
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- Sizes are calculated recursively for all files in dataset directory
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- Stored in megabytes (MB) for practical display
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- Legacy markers without metadata trigger size recalculation
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## Testing
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### Unit Tests Added
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**Config Tests (7 new):**
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- `test_cache_size_limit_default` - Verify 100GB default
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- `test_cache_size_limit_custom` - Custom limit configuration
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- `test_cache_size_limit_unlimited` - Unlimited cache mode
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- `test_cache_limit_soft_by_default` - Soft limit is default
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- `test_cache_limit_hard` - Hard limit configuration
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**Download Tests (8 new):**
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- `test_cache_metadata_creation` - Metadata structure
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- `test_cache_metadata_age` - Age calculation
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- `test_cache_metadata_serialization` - JSON serialization
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- `test_get_cached_datasets_empty` - Empty cache handling
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- `test_get_total_cache_size_empty` - Size calculation
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- `test_enforce_cache_limit_no_limit` - Unlimited mode
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- `test_enforce_cache_limit_within_limit` - No eviction needed
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**FFI Tests (updated):**
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- `test_gaggle_get_cache_info_format` - Updated for new fields
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- `test_gaggle_get_cache_info_contains_size` - All fields present
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### Test Results
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**Total Tests:** 155 (was 147, added 8 new tests)
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- ✅ All unit tests pass
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- ✅ All integration tests pass
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- ✅ Cache limit enforcement tested
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- ✅ Metadata serialization tested
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## Usage Examples
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### Basic Usage
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```sql
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-- Load extension
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LOAD 'build/release/extension/gaggle/gaggle.duckdb_extension';
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-- Set credentials
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SELECT gaggle_set_credentials('username', 'api-key');
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-- Check cache status
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SELECT * FROM json_table(gaggle_cache_info());
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-- Result:
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-- path: /home/user/.cache/gaggle_cache
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-- size_mb: 1024
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-- limit_mb: 102400
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-- usage_percent: 1
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-- is_soft_limit: true
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-- type: local
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-- Download datasets (automatically managed)
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SELECT gaggle_download('owner/dataset1');
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SELECT gaggle_download('owner/dataset2');
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-- Manually trigger cleanup if needed
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SELECT gaggle_enforce_cache_limit();
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```
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### Advanced Configuration
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```bash
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# Set 10GB limit
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export GAGGLE_CACHE_SIZE_LIMIT_MB=10240
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# Use hard limit (prevent downloads when full)
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export GAGGLE_CACHE_HARD_LIMIT=true
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# Set custom cache directory
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export GAGGLE_CACHE_DIR=/mnt/data/gaggle_cache
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```
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## Performance Considerations
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### Storage Units
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- **Time:** Seconds (Unix timestamp)
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- **Size:** Megabytes (MB)
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- **Calculation:** Recursive directory traversal
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### Efficiency
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- **Metadata:** Cached in JSON for fast access
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- **Size Calculation:** Only done once per download
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- **Eviction:** O(n log n) where n = number of datasets
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- **Lock-free:** Eviction doesn't block downloads
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### Trade-offs
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- Soft limit allows temporary over-limit state
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- Hard limit would require pre-download size check (not implemented)
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- Eviction is best-effort (failures are logged, not fatal)
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## Future Enhancements
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Potential improvements (not implemented yet):
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1. **Hard Limit Mode:** Prevent downloads when limit reached
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2. **Expiration Policies:** Time-based eviction (already prepared for)
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3. **Compression:** Store datasets compressed
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4. **Cloud Storage:** S3/GCS/Azure backends
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5. **Usage Statistics:** Track access patterns
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6. **Quota Per Dataset:** Limit individual dataset sizes
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## Migration Notes
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### For Existing Users
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- **Backward Compatible:** Existing caches work without modification
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- **Auto-Upgrade:** Empty markers are upgraded with metadata on next access
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- **Default Limit:** 100GB limit is applied automatically
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- **No Action Required:** Just update and use
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### Breaking Changes
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**None.** This is a fully backward-compatible addition.
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## Documentation Updates Needed
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Update the following docs:
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1. **README.md** - Add cache limit configuration section
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2. **CONFIGURATION.md** - Document new environment variables
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3. **examples/** - Add cache management examples
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## Summary
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**Completed:**
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- Cache size limit with configurable threshold (default 100GB)
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- Soft limit implementation (download first, cleanup after)
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- LRU eviction policy
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- Metadata tracking (time, size, path, version)
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- Enhanced cache info with usage percentage
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- Manual cache enforcement function
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- Comprehensive unit tests
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- Full C++/SQL integration
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📊 **Stats:**
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- Lines of code added: ~300
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- New tests: 15
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- Files modified: 5
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- Configuration options: 2
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- New SQL functions: 1
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🎯 **Impact:**
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- Prevents unbounded disk usage
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- Maintains old datasets automatically
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- Zero user action required
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- Fully configurable and extensible
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The cache size limit feature is now complete and ready for production use!

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