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  17. Feb 14, 2024
    • Niklas Adolfsson's avatar
      rpc: bump jsonrpsee v0.22 and fix race in `rpc v2 chain_head` (#3230) · c7c4fe01
      Niklas Adolfsson authored 
      Close #2992 

Breaking changes:
- rpc server grafana metric `substrate_rpc_requests_started` is removed
(not possible to implement anymore)
- rpc server grafana metric `substrate_rpc_requests_finished` is removed
(not possible to implement anymore)
- rpc server ws ping/pong not ACK:ed within 30 seconds more than three
times then the connection will be closed

Added
- rpc server grafana metric `substrate_rpc_sessions_time` is added to
get the duration for each websocket session
      c7c4fe01
    • Sergej Sakac's avatar
      Validate code when scheduling uprades from registrar (#3232) · 7e7c488b
      Sergej Sakac authored 
      Currently, anyone can registrar a code that exceeds the code size limit
when performing the upgrade from the registrar. This PR fixes that and
adds a new test to cover this.

cc @bkchr @eskimor
      7e7c488b
  19. Feb 13, 2024
  21. Feb 12, 2024
  23. Feb 11, 2024
  25. Feb 09, 2024
  27. Feb 08, 2024
  29. Feb 06, 2024
    • Andrei Eres's avatar
      subsystem-bench: Prepare CI output (#3158) · 9e6298e7
      Andrei Eres authored 
      

1. Benchmark results are collected in a single struct.
2. The output of the results is prettified.
3. The result struct used to save the output as a yaml and store it in
artifacts in a CI job.

```
$ cargo run -p polkadot-subsystem-bench --release -- test-sequence --path polkadot/node/subsystem-bench/examples/availability_read.yaml | tee output.txt
$ cat output.txt

polkadot/node/subsystem-bench/examples/availability_read.yaml #1

Network usage, KiB                     total   per block
Received from peers               510796.000  170265.333
Sent to peers                        221.000      73.667

CPU usage, s                           total   per block
availability-recovery                 38.671      12.890
Test environment                       0.255       0.085


polkadot/node/subsystem-bench/examples/availability_read.yaml #2

Network usage, KiB                     total   per block
Received from peers               413633.000  137877.667
Sent to peers                        353.000     117.667

CPU usage, s                           total   per block
availability-recovery                 52.630      17.543
Test environment                       0.271       0.090


polkadot/node/subsystem-bench/examples/availability_read.yaml #3

Network usage, KiB                     total   per block
Received from peers               424379.000  141459.667
Sent to peers                        703.000     234.333

CPU usage, s                           total   per block
availability-recovery                 51.128      17.043
Test environment                       0.502       0.167

```

```
$ cargo run -p polkadot-subsystem-bench --release -- --ci test-sequence --path polkadot/node/subsystem-bench/examples/availability_read.yaml | tee output.txt
$ cat output.txt
- benchmark_name: 'polkadot/node/subsystem-bench/examples/availability_read.yaml #1'
  network:
  - resource: Received from peers
    total: 509011.0
    per_block: 169670.33333333334
  - resource: Sent to peers
    total: 220.0
    per_block: 73.33333333333333
  cpu:
  - resource: availability-recovery
    total: 31.845848445
    per_block: 10.615282815
  - resource: Test environment
    total: 0.23582828799999941
    per_block: 0.07860942933333313

- benchmark_name: 'polkadot/node/subsystem-bench/examples/availability_read.yaml #2'
  network:
  - resource: Received from peers
    total: 411738.0
    per_block: 137246.0
  - resource: Sent to peers
    total: 351.0
    per_block: 117.0
  cpu:
  - resource: availability-recovery
    total: 18.93596025099999
    per_block: 6.31198675033333
  - resource: Test environment
    total: 0.2541994199999979
    per_block: 0.0847331399999993

- benchmark_name: 'polkadot/node/subsystem-bench/examples/availability_read.yaml #3'
  network:
  - resource: Received from peers
    total: 424548.0
    per_block: 141516.0
  - resource: Sent to peers
    total: 703.0
    per_block: 234.33333333333334
  cpu:
  - resource: availability-recovery
    total: 16.54178526900001
    per_block: 5.513928423000003
  - resource: Test environment
    total: 0.43960946299999537
    per_block: 0.14653648766666513
```

---------

Co-authored-by: default avatarAndrei Sandu <[email protected]>
      9e6298e7
    • Branislav Kontur's avatar
      [pallet_xcm] Forgotten migration to XCMv4 + added `try-state` to the `pallet_xcm` (#3228) · 8c1c99f0
      Branislav Kontur authored 
      Relates to: https://github.com/paritytech/polkadot-sdk/issues/3214

## TODO

- [ ] backport to the `1.7.0` release
      8c1c99f0
    • Oliver Tale-Yazdi's avatar
      Ranked collective `Add`+`Remove` origins (#3212) · c552fb54
      Oliver Tale-Yazdi authored 
      Superseeds https://github.com/paritytech/polkadot-sdk/pull/1245  

This PR is a migration of the
https://github.com/paritytech/substrate/pull/14577

.

The PR added associated types (`AddOrigin` & `RemoveOrigin`) to
`Config`. It allows you to decouple types and areas of responsibility,
since at the moment the same types are responsible for adding and
promoting(removing and demoting). This will improve the flexibility of
the pallet configuration.

```
/// The origin required to add a member.
type AddOrigin: EnsureOrigin<Self::RuntimeOrigin, Success = ()>;

/// The origin required to remove a member. The success value indicates the
/// maximum rank *from which* the removal may be.
type RemoveOrigin: EnsureOrigin<Self::RuntimeOrigin, Success = Rank>;
```
To achieve the backward compatibility, the users of the pallet can use
the old type via the new morph:

```
type AddOrigin = MapSuccess<Self::PromoteOrigin, Ignore>;
type RemoveOrigin = Self::DemoteOrigin;
```

---------

Signed-off-by: default avatarOliver Tale-Yazdi <[email protected]>
Co-authored-by: default avatarPraetorP <[email protected]>
Co-authored-by: default avatarPavel Orlov <[email protected]>
      c552fb54
    • Alin Dima's avatar
      prospective-parachains: respond with multiple backable candidates (#3160) · 7df1ae3b
      Alin Dima authored 
      Fixes https://github.com/paritytech/polkadot-sdk/issues/3129
      7df1ae3b
  31. Feb 05, 2024
    • Alexandru Gheorghe's avatar
      Introduce approval-voting/distribution benchmark (#2621) · f9f88688
      Alexandru Gheorghe authored 
      ## Summary
Built on top of the tooling and ideas introduced in
https://github.com/paritytech/polkadot-sdk/pull/2528, this PR introduces
a synthetic benchmark for measuring and assessing the performance
characteristics of the approval-voting and approval-distribution
subsystems.

Currently this allows, us to simulate the behaviours of these systems
based on the following dimensions:
```
TestConfiguration:
# Test 1
- objective: !ApprovalsTest
    last_considered_tranche: 89
    min_coalesce: 1
    max_coalesce: 6
    enable_assignments_v2: true
    send_till_tranche: 60
    stop_when_approved: false
    coalesce_tranche_diff: 12
    workdir_prefix: "/tmp"
    num_no_shows_per_candidate: 0
    approval_distribution_expected_tof: 6.0
    approval_distribution_cpu_ms: 3.0
    approval_voting_cpu_ms: 4.30
  n_validators: 500
  n_cores: 100
  n_included_candidates: 100
  min_pov_size: 1120
  max_pov_size: 5120
  peer_bandwidth: 524288000000
  bandwidth: 524288000000
  latency:
    min_latency:
      secs: 0
      nanos: 1000000
    max_latency:
      secs: 0
      nanos: 100000000
  error: 0
  num_blocks: 10
```

## The approach
1. We build a real overseer with the real implementations for
approval-voting and approval-distribution subsystems.
2. For a given network size, for each validator we pre-computed all
potential assignments and approvals it would send, because this a
computation heavy operation this will be cached on a file on disk and be
re-used if the generation parameters don't change.
3. The messages will be sent accordingly to the configured parameters
and those are split into 3 main benchmarking scenarios.

## Benchmarking scenarios

### Best case scenario *approvals_throughput_best_case.yaml*
It send to the approval-distribution only the minimum required tranche
to gathered the needed_approvals, so that a candidate is approved.

### Behaviour in the presence of no-shows *approvals_no_shows.yaml*
It sends the tranche needed to approve a candidate when we have a
maximum of *num_no_shows_per_candidate* tranches with no-shows for each
candidate.

### Maximum throughput *approvals_throughput.yaml*
It sends all the tranches for each block and measures the used CPU and
necessary network bandwidth. by the approval-voting and
approval-distribution subsystem.

## How to run it
```
cargo run -p polkadot-subsystem-bench --release -- test-sequence --path polkadot/node/subsystem-bench/examples/approvals_throughput.yaml
```

## Evaluating performance
### Use the real subsystems metrics
If you follow the steps in
https://github.com/paritytech/polkadot-sdk/tree/master/polkadot/node/subsystem-bench#install-grafana
for installing locally prometheus and grafana, all real metrics for the
`approval-distribution`, `approval-voting` and overseer are available.
E.g:
<img width="2149" alt="Screenshot 2023-12-05 at 11 07 46"
src="https://github.com/paritytech/polkadot-sdk/assets/49718502/cb8ae2dd-178b-4922-bfa4-dc37e572ed38">

<img width="2551" alt="Screenshot 2023-12-05 at 11 09 42"
src="https://github.com/paritytech/polkadot-sdk/assets/49718502/8b4542ba-88b9-46f9-9b70-cc345366081b">

<img width="2154" alt="Screenshot 2023-12-05 at 11 10 15"
src="https://github.com/paritytech/polkadot-sdk/assets/49718502/b8874d8d-632e-443a-9840-14ad8e90c54f">

<img width="2535" alt="Screenshot 2023-12-05 at 11 10 52"
src="https://github.com/paritytech/polkadot-sdk/assets/49718502/779a439f-fd18-4985-bb80-85d5afad78e2">

### Profile with pyroscope
1. Setup pyroscope following the steps in
https://github.com/paritytech/polkadot-sdk/tree/master/polkadot/node/subsystem-bench#install-pyroscope,
then run any of the benchmark scenario with `--profile` as the
arguments.
2. Open the pyroscope dashboard in grafana, e.g:
<img width="2544" alt="Screenshot 2024-01-09 at 17 09 58"
src="https://github.com/paritytech/polkadot-sdk/assets/49718502/58f50c99-a910-4d20-951a-8b16639303d9">



### Useful  logs
1. Network bandwidth requirements:
```
Payload bytes received from peers: 503993 KiB total, 50399 KiB/block
Payload bytes sent to peers: 629971 KiB total, 62997 KiB/block
```

2. Cpu usage by the approval-distribution/approval-voting subsystems.
```
approval-distribution CPU usage 84.061s
approval-distribution CPU usage per block 8.406s
approval-voting CPU usage 96.532s
approval-voting CPU usage per block 9.653s
```

3. Time passed until a given block is approved
```
 Chain selection approved  after 3500 ms hash=0x0101010101010101010101010101010101010101010101010101010101010101
Chain selection approved  after 4500 ms hash=0x0202020202020202020202020202020202020202020202020202020202020202
```

### Using benchmark to quantify improvements from
https://github.com/paritytech/polkadot-sdk/pull/1178 +
https://github.com/paritytech/polkadot-sdk/pull/1191

Using a versi-node we compare the scenarios where all new optimisations
are disabled with a scenarios where tranche0 assignments are sent in a
single message and a conservative simulation where the coalescing of
approvals gives us just 50% reduction in the number of messages we send.

Overall, what we see is a speedup of around 30-40% in the time it takes
to process the necessary messages and a 30-40% reduction in the
necessary bandwidth.

#### Best case scenario comparison(minimum required tranches sent).
Unoptimised
```
    Number of blocks: 10
    Payload bytes received from peers: 53289 KiB total, 5328 KiB/block
    Payload bytes sent to peers: 52489 KiB total, 5248 KiB/block
    approval-distribution CPU usage 6.732s
    approval-distribution CPU usage per block 0.673s
    approval-voting CPU usage 9.523s
    approval-voting CPU usage per block 0.952s
```

vs Optimisation enabled
```
   Number of blocks: 10
   Payload bytes received from peers: 32141 KiB total, 3214 KiB/block
   Payload bytes sent to peers: 37314 KiB total, 3731 KiB/block
   approval-distribution CPU usage 4.658s
   approval-distribution CPU usage per block 0.466s
   approval-voting CPU usage 6.236s
   approval-voting CPU usage per block 0.624s
```

#### Worst case all tranches sent, very unlikely happens when sharding
breaks.

Unoptimised
```
   Number of blocks: 10
   Payload bytes received from peers: 746393 KiB total, 74639 KiB/block
   Payload bytes sent to peers: 729151 KiB total, 72915 KiB/block
   approval-distribution CPU usage 118.681s
   approval-distribution CPU usage per block 11.868s
   approval-voting CPU usage 124.118s
   approval-voting CPU usage per block 12.412s
```

vs optimised
```
    Number of blocks: 10
    Payload bytes received from peers: 503993 KiB total, 50399 KiB/block
    Payload bytes sent to peers: 629971 KiB total, 62997 KiB/block
    approval-distribution CPU usage 84.061s
    approval-distribution CPU usage per block 8.406s
    approval-voting CPU usage 96.532s
    approval-voting CPU usage per block 9.653s
```


## TODOs
[x] Polish implementation.
[x] Use what we have so far to evaluate
https://github.com/paritytech/polkadot-sdk/pull/1191

 before merging.
[x] List of features and additional dimensions we want to use for
benchmarking.
[x] Run benchmark on hardware similar with versi and kusama nodes.
[ ] Add benchmark to be run in CI for catching regression in
performance.
[ ] Rebase on latest changes for network emulation.

---------

Signed-off-by: default avatarAndrei Sandu <[email protected]>
Signed-off-by: default avatarAlexandru Gheorghe <[email protected]>
Co-authored-by: default avatarAndrei Sandu <[email protected]>
Co-authored-by: default avatarAndrei Sandu <[email protected]>
      f9f88688
  33. Feb 02, 2024