buf_file: queued file chunks keep FDs open until shutdown; resume opens all chunks — EMFILE death spiral on slow output
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评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 35/100
- Issue 类型
- 缺陷
- 描述清晰度
- 需要澄清
- 活跃度
- 活跃
- 技术栈
- ruby
- 领域
- backend, performance
调研方向
首先阅读 lib/fluent/plugin/buffer.rb、lib/fluent/plugin/buffer/file_chunk.rb 和 lib/fluent/plugin/buf_file.rb,重点关注 enqueue、resume 和 close 的行为。使用大量排队的 file-buffer backlog 重现 EMFILE 场景;完成条件是确定一项已达成共识的生命周期变更,使 Fluentd 无需为每个 chunk 保持一个或两个打开的 FD 即可恢复并排空 backlog。
由索引模型根据 Issue 内容生成。
描述
Describe the bug
When using @type file buffers with a slow or failing output (S3, Kafka, forward, etc.), Fluentd accumulates many buffer chunk files. Each chunk keeps one or two file descriptors open while it sits in stage or queue, and buf_file#resume re-opens every persisted chunk on startup. Once open FD count approaches the process limit (often 65536 on Linux), Fluentd enters a death spiral:
- Output flush fails with
Errno::EMFILE(cannot open TCP socket / DNS / temp files) - Queued chunks are not purged and their FDs are not released
- New chunks cannot be created (
BufferOverflowError) - Even after downstream recovers, Fluentd may remain stuck because resume/flush paths need more FDs than available
This is related to long-standing reports (#1612, #3040, #4012, #3993), but those issues focus on symptoms/workarounds (raise ulimit, tune buffer size). This report points at a specific FD lifecycle design in current buf_file / FileChunk that makes recovery impossible at scale without deleting buffers or raising limits to match chunk count.
Root cause in code (v1.x)
1. enqueue_chunk closes only empty chunks — non-empty queued chunks stay open
# lib/fluent/plugin/buffer.rb
if chunk.empty?
chunk.close
else
@queue << chunk
chunk.enqueued! # renames files but keeps @chunk and @meta open
end
2. FileChunk#enqueued! keeps both @chunk and @meta handles open after rename
After staging, each chunk uses 2 FDs (@chunk + @meta). After enqueue, both handles remain open through flush (see file_rename callbacks in lib/fluent/plugin/buffer/file_chunk.rb). The code even notes:
"Too many open files" should be fixed by proper buffer configuration and system setting.
3. buf_file#resume opens every buffer file during startup
# lib/fluent/plugin/buf_file.rb
Dir.glob(escaped_patterns(patterns)) do |path|
chunk = Fluent::Plugin::Buffer::FileChunk.new(m, path, mode, ...)
queue << chunk # File.open in load_existing_enqueued_chunk / load_existing_staged_chunk
end
With tens of thousands of backlog files, resume alone can exhaust FDs before any flush thread runs (#3040).
4. FDs are only released on buffer shutdown
Buffer#close closes dequeued, queued, and staged chunks — not when a chunk moves from stage → queue.
PR #1468 (v0.14.12) handles EMFILE on chunk create by raising BufferOverflowError, but does not close existing queued chunk FDs or enable recovery.
To Reproduce
- Configure a file buffer with relatively small
timekeyand largechunk_limit_size, e.g. S3 output:
<match **>
@type s3
# ... aws / bucket config ...
<buffer tag,time>
@type file
path /var/log/fluent/buffer
timekey 5
chunk_limit_size 100MB
flush_mode interval
flush_interval 5
flush_thread_count 15
# note: no total_limit_size — backlog can grow by chunk count
</buffer>
</match>
-
Block or fail the output path (wrong credentials, network partition, unreachable S3 endpoint) for long enough to accumulate ~30k+ chunks (≈ 60k+ FDs with chunk+meta open, or ~32k chunks at 65536 limit).
-
Observe logs:
failed to flush the buffer. retry_times=... error="Too many open files" ...
Failed to open TCP connection to ...s3.amazonaws.com:443
can't create buffer metadata for ... error = Too many open files @ rb_sysopen
-
Restore downstream — Fluentd often does not recover without manual intervention (delete buffer dir or raise
LimitNOFILEabove chunk count). -
Restart Fluentd with large backlog —
restoring buffer filestorm in logs; process hits EMFILE duringresumebefore flushing (#3040).
Expected behavior
File buffer chunks should not require a permanently open FD for every queued chunk. Suggested approaches (any of these would help):
- Close on enqueue: after
enqueued!, callchunk.close(or equivalent) so queued chunks hold 0 FDs until dequeued for flush. - Lazy open on flush:
FileChunk#open/readreopen paths on demand; keep metadata in memory or mmap only.metabriefly. - Lazy resume: do not
File.openall chunks inDir.glob; index paths from filesystem and open in batches bounded by(flush_thread_count * 2)or configurableresume_open_limit. - Document FD estimation:
queue_limit_length,total_limit_size, and chunk count vsLimitNOFILE(as suggested in #3040).
At minimum, Fluentd should remain able to drain an existing backlog after downstream recovery without requiring FD count ≥ chunk count.
Actual behavior
- ~1–2 FDs per staged/queued chunk for the lifetime of the chunk in memory
- Resume opens all chunks eagerly
- EMFILE on output flush → permanent stall until buffer deletion or ulimit >> chunk count
BufferOverflowErroron create stops ingestion but does not free queued FDs
Your Environment
- Fluentd: 1.16+ / td-agent 4.x (behavior present since v0.14 file buffer redesign)
- OS: Linux (Kubernetes), `LimitNOFILE` commonly 65536
- Buffer: `@type file` with timekey slicing, S3 or other slow output
- Observed at production scale: ~65k FD limit reached with ~32k queued chunks (chunk + meta open)
Your Error Log
failed to flush the buffer. retry_times=0 next_retry_time=... error="Too many open files"
error_class=Errno::EMFILE
Failed to open TCP connection to <bucket>.s3.amazonaws.com:443
emit transaction failed: error_class=Fluent::Plugin::Buffer::BufferOverflowError
error="can't create buffer metadata for /var/log/fluent/buffer/buffer.*.log.
Stop creating buffer files: error = Too many open files @ rb_sysopen - ...log.meta"
Additional context
- Community has reported this pattern since 2017 (#1612: 131034 files, 65516
.log+ 65515.meta, exactly at 65536 ulimit). - #3040 (still open) requests batch open/close on resume — no upstream fix yet.
- Workarounds today: raise ulimit, delete buffer files (data loss), or cap backlog via
total_limit_size/overflow_action— none fix FD retention on queued chunks. - Willing to contribute a PR for close-on-enqueue + lazy reopen if maintainers agree on direction.
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