mirror of
https://github.com/fluencelabs/aquavm
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5fdc8e68ac
* Experimental performance metering * Average on repeated runs with `--repeat` option * Add "version" field to the report The version is got from `air/Cargo.toml`. * Allow disabling preparing binaries with the `--no-prepare-binaries` option. * Human-readable execution time in the report * Add dashboard benchmark * Human-readable text report
83 lines
3.9 KiB
Plaintext
83 lines
3.9 KiB
Plaintext
Machine d77ebe8481884bc3b2778c8083f1bf459e548e929edd87041beb14f6b868d35f:
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Platform: macOS-13.1-arm64-arm-64bit
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Timestamp: 2023-02-03 12:08:43.454860+00:00
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AquaVM version: 0.35.0
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Benches:
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big_values_data (1.20s): Loading a trace with huge values
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air::runner::execute_air: 1.20s
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preparation_step::preparation::prepare: 1.09s
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air_interpreter_data::interpreter_data::serde_json::from_slice: 1.07s
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air_parser::parser::air_parser::parse: 3.66ms
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air::preparation_step::preparation::make_exec_ctx: 2.79ms
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runner::execute: 262.00µs
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farewell_step::outcome::from_success_result: 104.61ms
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populate_outcome_from_contexts: 102.47ms
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to_vec(data): 96.71ms
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to_vec(call_results): 142.00µs
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dashboard (187.90ms): big dashboard test
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air::runner::execute_air: 187.90ms
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preparation_step::preparation::prepare: 46.88ms
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air_interpreter_data::interpreter_data::serde_json::from_slice: 26.69ms
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air_parser::parser::air_parser::parse: 12.49ms
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air::preparation_step::preparation::make_exec_ctx: 3.15ms
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runner::execute: 109.00ms
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execute: 90.78ms
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new: 54.94ms
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resolve_ast_scalar: 40.19ms
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resolve_ast_variable: 25.15ms
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resolve_variable: 8.23ms
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execute: 14.54ms
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resolver::resolve::resolve_ast_variable: 1.31ms
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resolve_variable: 355.00µs
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instructions::call::resolved_call::prepare_request_params: 2.61ms
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resolver::resolve::resolve_ast_variable: 430.00µs
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resolve_variable: 140.00µs
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instructions::call::resolved_call::serde_json::to_string(tetraplets): 621.00µs
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farewell_step::outcome::from_success_result: 25.78ms
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populate_outcome_from_contexts: 24.63ms
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to_vec(data): 20.87ms
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to_vec(call_results): 453.00µs
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long_data (344.40ms): Long data trace
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air::runner::execute_air: 344.40ms
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preparation_step::preparation::prepare: 308.90ms
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air_interpreter_data::interpreter_data::serde_json::from_slice: 297.10ms
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air_parser::parser::air_parser::parse: 3.65ms
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air::preparation_step::preparation::make_exec_ctx: 3.27ms
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runner::execute: 261.00µs
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farewell_step::outcome::from_success_result: 29.24ms
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populate_outcome_from_contexts: 27.04ms
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to_vec(data): 22.00ms
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to_vec(call_results): 142.00µs
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network_explore (80.18ms): N peers of network are discovered
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air::runner::execute_air: 80.18ms
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preparation_step::preparation::prepare: 34.07ms
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air_interpreter_data::interpreter_data::serde_json::from_slice: 11.86ms
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air_parser::parser::air_parser::parse: 13.67ms
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air::preparation_step::preparation::make_exec_ctx: 4.15ms
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runner::execute: 29.04ms
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execute: 15.34ms
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new: 6.34ms
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resolve_ast_scalar: 3.88ms
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resolve_ast_variable: 2.67ms
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resolve_variable: 907.00µs
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execute: 5.12ms
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resolve_ast_variable: 392.00µs
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resolve_variable: 126.00µs
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farewell_step::outcome::from_success_result: 10.68ms
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populate_outcome_from_contexts: 9.30ms
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to_vec(data): 4.76ms
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to_vec(call_results): 138.00µs
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parser_10000_100 (1.34s): Running very long AIR script with lot of variables and assignments
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air::runner::execute_air: 1.34s
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preparation_step::preparation::prepare: 1.31s
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air_parser::parser::air_parser::parse: 1.31s
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air::preparation_step::preparation::make_exec_ctx: 2.82ms
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runner::execute: 7.53ms
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execute: 4.54ms
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new: 1.27ms
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execute: 619.00µs
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farewell_step::outcome::from_success_result: 7.32ms
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populate_outcome_from_contexts: 6.24ms
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to_vec(data): 2.89ms
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to_vec(call_results): 139.00µs
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