[ 
https://issues.apache.org/jira/browse/KUDU-3778?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18092639#comment-18092639
 ] 

ASF subversion and git services commented on KUDU-3778:
-------------------------------------------------------

Commit 8582d9a6429c2ef1a38b0d33bfa86db8efdb4656 in kudu's branch 
refs/heads/master from Yan-Daojiang
[ https://gitbox.apache.org/repos/asf?p=kudu.git;h=8582d9a64 ]

KUDU-3779: support in-memory metadata replay for encrypted clusters

KUDU-3778 (Change-Id: Iacbe12977ae945e) sped up tserver startup by
reading each LBM native-meta container's .metadata file fully into
memory before replay, but disabled the optimization on encrypted
clusters: the in-memory shim bypassed the env's per-Read decryption,
and a bulk decrypt at preload time would have broken the per-slice
IsAllZeros() short-circuit that KUDU-2260 trailing-zero recovery
depends on.

This change extends the optimization to encrypted clusters by caching
the ciphertext in memory and decrypting on each in-memory Read().
RandomAccessFile gains two virtuals with no-op defaults
(ReadRaw / Decrypt) so the non-encrypted path is unchanged;
PosixRandomAccessFile overrides them to expose its existing
DoReadV / DoDecryptV helpers, which keep the IsAllZeros() short-circuit
intact. MaybePreloadMetadataIntoMemory() no longer gates on encryption
and applies the existing replay-threshold flag to the payload size.

Non-encrypted behavior is bit-for-bit unchanged. Encrypted clusters
now get the same syscall collapse (O(records) -> O(containers)) and
still recover trailing zero pads correctly.

Benchmarks (release build, KUDU_ALLOW_SLOW_TESTS=1,
`log_block_manager-test --gtest_filter='*InMemoryReplayStartupBenchmark*'`,
5 reopens per pass, native-meta containers, encryption ENABLED):

"streaming" = --log_container_metadata_inmem_replay_threshold_bytes=0,
"in-memory" = --log_container_metadata_inmem_replay_threshold_bytes=64MiB.

  Workload scale (batches x blocks/batch, dirs, 90% deletion):
    200 x 500,    4 dirs ( 10k live):  202 ms ->  115 ms (1.76x, -43%)
    500 x 1000,  8 dirs ( 50k live): 1016 ms ->  604 ms (1.68x, -41%)
    1000 x 1000, 8 dirs (100k live): 2091 ms -> 1218 ms (1.72x, -42%)

  Deletion-ratio sweep (500x1000 / 8 dirs, encryption enabled):
    deleted=0%  (500k records, 500k live):  703 ms -> 468 ms (1.50x)
    deleted=50% (750k records, 250k live):  899 ms -> 549 ms (1.64x)
    deleted=90% (950k records,  50k live): 1034 ms -> 578 ms (1.79x)
    deleted=99% (995k records,   5k live): 1042 ms -> 577 ms (1.81x)
  Same pattern as KUDU-3778: the streaming-path time scales with total
  records (creates + deletes), the in-memory-path time only scales with
  the live-record decrypt work and a single bulk read per container.

  Container-density sweep (500x1000 / 8 dirs / 90% deletion, all 50k
  live; steady-state, the first reopen of a fresh on-disk layout is
  excluded as it is dominated by cold page-cache):
    log_container_max_blocks=-1:    1018 ms -> 577 ms (1.76x)
    log_container_max_blocks=10000:   54 ms ->  34 ms (1.59x)
    log_container_max_blocks=1000:    28 ms ->  22 ms (1.27x)

  Non-encryption regression check (500 x 1000, 8 dirs, 90% deletion,
  encryption DISABLED): 805 ms -> 381 ms (2.11x). Matches the numbers
  KUDU-3778 reported for the same configuration (811 ms -> 394 ms), so
  this change does not regress the existing non-encrypted fast path.

The absolute speedup on encrypted clusters (~1.7x) is lower than on
non-encrypted clusters (~2.1x) because per-record decryption work has
to run on both paths; the in-memory path only collapses the O(records)
preadv() syscalls into a single bulk read per container, it cannot
skip decryption. Both the absolute and relative gain still grow with
the number of records per container, as expected.

Change-Id: I37af5bc37613dd4081e1ad708f084e1c88fb3e75
Reviewed-on: http://gerrit.cloudera.org:8080/24387
Reviewed-by: Marton Greber <[email protected]>
Reviewed-by: Alexey Serbin <[email protected]>
Tested-by: Alexey Serbin <[email protected]>


> Speed up log block manager startup by replaying small container metadata 
> files from memory
> ------------------------------------------------------------------------------------------
>
>                 Key: KUDU-3778
>                 URL: https://issues.apache.org/jira/browse/KUDU-3778
>             Project: Kudu
>          Issue Type: Improvement
>            Reporter: Daojiang Yan
>            Assignee: Daojiang Yan
>            Priority: Major
>             Fix For: Backlog
>
>
> *Description*
> On startup,LogBlockContainerNativeMeta::ProcessRecords() replays each 
> container's. metadata file through ReadablePBContainerFile::ReadNextPB(), 
> which issues two preadv() syscalls per record (one for the length+checksum 
> prefix, one for the body+checksum). The total number of read syscalls during 
> the "Reading filesystem" phase is therefore O(total records across all 
> containers). On a tserver with many containers each holding many records, 
> this turns startup into a long stream of tiny sequential reads against the 
> kernel.
>  
> *Proposal*
> Add an opt-in fast path: when a metadata file's payload fits in a 
> configurable budget, read it once into a faststring and let 
> ReadablePBContainerFile parse it through an in-memory RandomAccessFile shim 
> (MemoryReadableFile). This collapses the per-record preadv() pair into a 
> single bulk read per container, so the syscall count during startup drops 
> from O(records) to O(containers). Any I/O error during preload, or an 
> oversized file, transparently falls back to the existing streaming path, so 
> the optimization can only help and never widen the failure envelope of 
> startup.
>  
> The fast path is gated by 
> --log_container_metadata_inmem_replay_threshold_bytes (default 64 MiB; 
> runtime/advanced/experimental). Set to 0 to disable. Only applies to 
> --block_manager=log with native metadata; encrypted metadata files are 
> intentionally left on the streaming path.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to