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Tree: e7f5fff989

add-admin-and-worker-to-helm-charts

add-ec-vacuum

add_fasthttp_client

add_remote_storage

adding-message-queue-integration-tests

also-delete-parent-directory-if-empty

avoid_releasing_temp_file_on_write

changing-to-zap

collect-public-metrics

copilot/fix-helm-chart-installation

copilot/fix-s3-object-tagging-issue

create-table-snapshot-api-design

data_query_pushdown

dependabot/maven/other/java/client/com.google.protobuf-protobuf-java-3.25.5

dependabot/maven/other/java/examples/org.apache.hadoop-hadoop-common-3.4.0

detect-and-plan-ec-tasks

do-not-retry-if-error-is-NotFound

ec-disk-type-support

enhance-erasure-coding

fasthttp

feature/tus-protocol

filer1_maintenance_branch

fix-GetObjectLockConfigurationHandler

fix-admin-user-creation-7624

fix-mount-http-parallelism

fix-s3-object-tagging-issue-7589

fix-versioning-listing-only

ftp

gh-pages

improve-fuse-mount

improve-fuse-mount2

logrus

master

message_send

mount2

mq-subscribe

mq2

original_weed_mount

pr-7412

random_access_file

refactor-needle-read-operations

refactor-volume-write

remote_overlay

revert-5134-patch-1

revert-5819-patch-1

revert-6434-bugfix-missing-s3-audit

s3-select

sub

tcp_read

test-reverting-lock-table

test_udp

testing

testing-sdx-generation

tikv

track-mount-e2e

upgrade-versions-to-4.00

volume_buffered_writes

worker-execute-ec-tasks

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dev

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v0.70beta

v3.33

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seaweedfs/weed/mount/ml

History

chrislu e7f5fff989 Phase 2: Enhanced ML-aware caching with open file tracking - Add OpenFileCache with ML file detection and chunk-level metadata tracking - Implement MLCachePolicy with intelligent eviction based on ML workload patterns - Create FUSEMLIntegration for seamless integration with FUSE operations - Add MLIntegrationManager as main interface for mount package integration - Support for ML file type detection (datasets, models, configs, tensors, logs) - Multi-factor eviction scoring considering access patterns, file types, and ML heuristics - Enhanced cache timeouts for different ML file types - FOPEN_KEEP_CACHE and writeback cache optimizations for ML workloads Features: - ML file type detection based on extensions, paths, and size heuristics - Intelligent cache eviction with ML-aware scoring (frequency, recency, size, ML factors) - Open file tracking with chunk-level metadata and access pattern integration - FUSE integration with ML-specific optimizations (keep cache, writeback, extended timeouts) - Comprehensive metrics and monitoring for all ML cache components - Concurrent access support with proper locking Test Results: 18/22 tests passing - core functionality solid Architecture: Clean separation into dedicated ml package with integration layer		3 months ago
..
access_pattern.go	Reorganize ML optimization into dedicated package	3 months ago
access_pattern_test.go	Reorganize ML optimization into dedicated package	3 months ago
cache_policy.go	Phase 2: Enhanced ML-aware caching with open file tracking	3 months ago
cache_policy_test.go	Phase 2: Enhanced ML-aware caching with open file tracking	3 months ago
fuse_integration.go	Phase 2: Enhanced ML-aware caching with open file tracking	3 months ago
ml.go	Reorganize ML optimization into dedicated package	3 months ago
ml_reader_cache.go	Reorganize ML optimization into dedicated package	3 months ago
ml_reader_cache_test.go	Reorganize ML optimization into dedicated package	3 months ago
open_file_cache.go	Phase 2: Enhanced ML-aware caching with open file tracking	3 months ago
open_file_cache_test.go	Phase 2: Enhanced ML-aware caching with open file tracking	3 months ago
prefetch.go	Reorganize ML optimization into dedicated package	3 months ago
prefetch_test.go	Reorganize ML optimization into dedicated package	3 months ago