daml/ledger/ledger-api-bench-tool
Simon Maxen 855457a656
Allow bench test parties to be looked up or created [DPP-1001] (#14139)
* Allow bench test parties to be looked up or created

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2022-06-09 13:55:28 +01:00
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src Allow bench test parties to be looked up or created [DPP-1001] (#14139) 2022-06-09 13:55:28 +01:00
BUILD.bazel Sandbox Classic Removal in Tests (#13934) 2022-06-07 19:54:52 +00:00
README.md [ETQ] Extend Benchtool to submit consuming and nonconsuming exercises [DPP-972] (#13492) 2022-04-25 09:45:02 +02:00

ledger-api-bench-tool

The ledger-api-bench-tool is a tool for measuring performance of a ledger. It allows to run multiple concurrent streams reading transactions from a ledger and provides performance statistics for such streams.

Please note that the ledger-api-bench-tool does not provide a load source for the ledger.

Running

Run using bazel run:

bazel run -- //ledger/ledger-api-bench-tool --help

or using a fat jar:

bazel build //ledger/ledger-api-bench-tool:ledger-api-bench-tool_deploy.jar
java -jar bazel-bin/ledger/ledger-api-bench-tool/ledger-api-bench-tool_deploy.jar --help

Configuration

Observer Parties

You can specify the number of observer parties to create in the .yaml config as follows:

submission:
  num_observers: <NUMBER-OF-OBSERVERS>

This will tell the BenchTool to create NUMBER-OF-OBSERVERS parties.
The names of these parties will follow the pattern of Obs-<INDEX> where 0 <= INDEX < NUMBER-OF-OBSERVERS and each party will have its own unique probability of 1 / 10^INDEX for being selected as an observer of a contract.

For example, when creating four observer parties they will be named Obs-0, Obs-1, Obs-2, Obs-3 and their respective probabilities will be 100%, 10%, 1% and 0.1%.

Ledger Offset

You can use any valid ledger offset. Additionally, you can use two special values "ledger-begin" and "ledger-end"

Consuming and Nonconsuming Exercises

You can specify consuming and nonconsuming exercises to submit as below.

submssion:
  nonconsuming_exercises:
    probability: 2.3
    payload_size_bytes: 1000
  consuming_exercises:
    probability: 0.4
    payload_size_bytes: 200

For nonconsuming exercises probability can be any positive number. For example probability of 2.3 means that, for each create contract command, there will be at least two nonconsuming exercises submitted and 30% chance of a third one.

For consuming exercises probablity must in range [0.0, 1.0].

Metrics

CountRateMetric

Number of elements processed per second.

Unit: [elem/s]

periodic value = (number of elements in the last period) / (period duration)

final value = (total number of elements processed) / (total duration)

TotalCountMetric

Total number of processed elements.

Unit: [-]

periodic value = (number of elements processed so far)
final value = (total number of elements processed)

SizeMetric

Amount of data processed per second.

Unit: [MB/s]

periodic value = (number of megabytes processed in the last period) / (period duration)

final value = (total number of megabytes processed) / (total duration)

DelayMetric

Record time delay of a stream element is defined as follows:

record time delay = (current time) - (record time of a processed element)

The delay metric measures mean delay of elements processed in a period of time.

Unit: [s]

periodic value = (mean record time delay of elements processed in a period of time)

final value = N/A

Note that in case of running the ledger-api-bench-tool against a ledger with live data, the delay metric is expected to converge to 0s which is equivalent to being up-to-date with the most recent data.

ConsumptionSpeedMetric

Describe the ratio between a time span covered by record times of processed elements to the period duration.

Unit: [-]

Additional definitions:

previous latest record time = (record time of the latest element from periods before the current period)

latest record time = (record time of the latest element in the current period OR undefined in case of a period without a single element)
periodic value =
  if (latest record time != undefined) ((latest record time) - (previous latest record time)) / (period duration)
  else 0.0
  
final value = N/A