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d48e1e1659
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
helm-3.65.1
v0.69
v0.70beta
v3.33
${ noResults }
Chris Lu
d48e1e1659
* mount: improve read throughput with parallel chunk fetching This addresses issue #7504 where a single weed mount FUSE instance does not fully utilize node network bandwidth when reading large files. Changes: - Add -concurrentReaders mount option (default: 16) to control the maximum number of parallel chunk fetches during read operations - Implement parallel section reading in ChunkGroup.ReadDataAt() using errgroup for better throughput when reading across multiple sections - Enhance ReaderCache with MaybeCacheMany() to prefetch multiple chunks ahead in parallel during sequential reads (now prefetches 4 chunks) - Increase ReaderCache limit dynamically based on concurrentReaders to support higher read parallelism The bottleneck was that chunks were being read sequentially even when they reside on different volume servers. By introducing parallel chunk fetching, a single mount instance can now better saturate available network bandwidth. Fixes: #7504 * fmt * Address review comments: make prefetch configurable, improve error handling Changes: 1. Add DefaultPrefetchCount constant (4) to reader_at.go 2. Add GetPrefetchCount() method to ChunkGroup that derives prefetch count from concurrentReaders (1/4 ratio, min 1, max 8) 3. Pass prefetch count through NewChunkReaderAtFromClient 4. Fix error handling in readDataAtParallel to prioritize errgroup error 5. Update all callers to use DefaultPrefetchCount constant For mount operations, prefetch scales with -concurrentReaders: - concurrentReaders=16 (default) -> prefetch=4 - concurrentReaders=32 -> prefetch=8 (capped) - concurrentReaders=4 -> prefetch=1 For non-mount paths (WebDAV, query engine, MQ), uses DefaultPrefetchCount. * fmt * Refactor: use variadic parameter instead of new function name Use NewChunkGroup with optional concurrentReaders parameter instead of creating a separate NewChunkGroupWithConcurrency function. This maintains backward compatibility - existing callers without the parameter get the default of 16 concurrent readers. * Use explicit concurrentReaders parameter instead of variadic * Refactor: use MaybeCache with count parameter instead of new MaybeCacheMany function * Address nitpick review comments - Add upper bound (128) on concurrentReaders to prevent excessive goroutine fan-out - Cap readerCacheLimit at 256 accordingly - Fix SetChunks: use Lock() instead of RLock() since we are writing to group.sections |
6 days ago | |
|---|---|---|
| .. | ||
| seaweedfs | Helm Charts: add certificate duration and renewBefore options (#7563) | 1 week ago |
| artifacthub-repo.yml | Update artifacthub-repo-stable.yml (#4330) | 3 years ago |