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rlp: use atomic.Value for type cache #22902

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merged 3 commits into from
May 22, 2021
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@fjl fjl commented May 18, 2021

All encoding/decoding operations read the type cache to find the
writer/decoder function responsible for a type. When analyzing CPU
profiles of geth during sync, I found that the use of sync.RWMutex in
cache lookups appears in the profiles. It seems we are running into
CPU cache contention problems when package rlp is heavily used
on all CPU cores during sync.

This change makes it use atomic.Value + a writer lock instead of
sync.RWMutex. In the common case where the typeinfo entry is present in
the cache, we simply fetch the map and lookup the type.

Unfortunately, it is very hard to prove whether this is an improvement
because single-threaded benchmarks won't hit the slowdown.

fjl added 2 commits May 19, 2021 11:52
All encoding/decoding operations read the type cache to find the
writer/decoder function responsible for a type. When analyzing CPU
profiles of geth during sync, I found that the use of sync.RWMutex in
cache lookups appears in the profiles. It seems we are running into
cache contention problems because package rlp is heavily used on all CPU
cores during sync.

This change makes it use atomic.Value + a writer lock instead of
sync.RWMutex. In the common case where the typeinfo entry is present in
the cache, we simply fetch the map and lookup the type.

Unfortunately, it is very hard to prove whether this is an improvement
because single-threaded benchmarks won't hit the slowdown.
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fjl commented May 19, 2021

I have now added a benchmark to show the performance difference. The benchmark function encodes an []interface{} value on all cores simultaneously, which is the worst case for the old RWMutex-based design.

Here's the difference:

name                         old time/op  new time/op  delta
EncodeConcurrentInterface-8  4.92µs ± 0%  1.07µs ± 2%  -78.33%  (p=0.000 n=10+9)

The RWLock is clearly visible in the profile before the change:

Screenshot 2021-05-19 at 11 57 57

@fjl fjl merged commit 0d076d9 into ethereum:master May 22, 2021
maoueh pushed a commit to streamingfast/go-ethereum that referenced this pull request Aug 20, 2021
* focus on performance improvement in many aspects.

1. Do BlockBody verification concurrently;
2. Do calculation of intermediate root concurrently;
3. Preload accounts before processing blocks;
4. Make the snapshot layers configurable.
5. Reuse some object to reduce GC.

add

* rlp: improve decoder stream implementation (ethereum#22858)

This commit makes various cleanup changes to rlp.Stream.

* rlp: shrink Stream struct

This removes a lot of unused padding space in Stream by reordering the
fields. The size of Stream changes from 120 bytes to 88 bytes. Stream
instances are internally cached and reused using sync.Pool, so this does
not improve performance.

* rlp: simplify list stack

The list stack kept track of the size of the current list context as
well as the current offset into it. The size had to be stored in the
stack in order to subtract it from the remaining bytes of any enclosing
list in ListEnd. It seems that this can be implemented in a simpler
way: just subtract the size from the enclosing list context in List instead.

* rlp: use atomic.Value for type cache (ethereum#22902)

All encoding/decoding operations read the type cache to find the
writer/decoder function responsible for a type. When analyzing CPU
profiles of geth during sync, I found that the use of sync.RWMutex in
cache lookups appears in the profiles. It seems we are running into
CPU cache contention problems when package rlp is heavily used
on all CPU cores during sync.

This change makes it use atomic.Value + a writer lock instead of
sync.RWMutex. In the common case where the typeinfo entry is present in
the cache, we simply fetch the map and lookup the type.

* rlp: optimize byte array handling (ethereum#22924)

This change improves the performance of encoding/decoding [N]byte.

    name                     old time/op    new time/op    delta
    DecodeByteArrayStruct-8     336ns ± 0%     246ns ± 0%  -26.98%  (p=0.000 n=9+10)
    EncodeByteArrayStruct-8     225ns ± 1%     148ns ± 1%  -34.12%  (p=0.000 n=10+10)

    name                     old alloc/op   new alloc/op   delta
    DecodeByteArrayStruct-8      120B ± 0%       48B ± 0%  -60.00%  (p=0.000 n=10+10)
    EncodeByteArrayStruct-8     0.00B          0.00B          ~     (all equal)

* rlp: optimize big.Int decoding for size <= 32 bytes (ethereum#22927)

This change grows the static integer buffer in Stream to 32 bytes,
making it possible to decode 256bit integers without allocating a
temporary buffer.

In the recent commit 088da24, Stream struct size decreased from 120
bytes down to 88 bytes. This commit grows the struct to 112 bytes again,
but the size change will not degrade performance because Stream
instances are internally cached in sync.Pool.

    name             old time/op    new time/op    delta
    DecodeBigInts-8    12.2µs ± 0%     8.6µs ± 4%  -29.58%  (p=0.000 n=9+10)

    name             old speed      new speed      delta
    DecodeBigInts-8   230MB/s ± 0%   326MB/s ± 4%  +42.04%  (p=0.000 n=9+10)

* eth/protocols/eth, les: avoid Raw() when decoding HashOrNumber (ethereum#22841)

Getting the raw value is not necessary to decode this type, and
decoding it directly from the stream is faster.

* fix testcase

* debug no lazy

* fix can not repair

* address comments

Co-authored-by: Felix Lange <fjl@twurst.com>
atif-konasl pushed a commit to frozeman/pandora-execution-engine that referenced this pull request Oct 15, 2021
All encoding/decoding operations read the type cache to find the
writer/decoder function responsible for a type. When analyzing CPU
profiles of geth during sync, I found that the use of sync.RWMutex in
cache lookups appears in the profiles. It seems we are running into
CPU cache contention problems when package rlp is heavily used
on all CPU cores during sync.

This change makes it use atomic.Value + a writer lock instead of
sync.RWMutex. In the common case where the typeinfo entry is present in
the cache, we simply fetch the map and lookup the type.
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