2023-01-11 02:51:25 +01:00
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use criterion::{criterion_group, criterion_main, BatchSize, Criterion};
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use nu_cli::eval_source;
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use nu_parser::parse;
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use nu_plugin::{EncodingType, PluginResponse};
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2023-06-17 14:41:29 +02:00
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use nu_protocol::{engine::EngineState, PipelineData, Span, Value};
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2023-01-11 02:51:25 +01:00
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use nu_utils::{get_default_config, get_default_env};
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2023-06-17 14:41:29 +02:00
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fn load_bench_commands() -> EngineState {
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nu_command::add_shell_command_context(nu_cmd_lang::create_default_context())
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}
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2023-01-11 02:51:25 +01:00
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// FIXME: All benchmarks live in this 1 file to speed up build times when benchmarking.
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// When the *_benchmarks functions were in different files, `cargo bench` would build
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// an executable for every single one - incredibly slowly. Would be nice to figure out
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// a way to split things up again.
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fn parser_benchmarks(c: &mut Criterion) {
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2023-06-17 14:41:29 +02:00
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let mut engine_state = load_bench_commands();
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2023-01-11 02:51:25 +01:00
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// parsing config.nu breaks without PWD set
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engine_state.add_env_var(
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"PWD".into(),
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Value::string("/some/dir".to_string(), Span::test_data()),
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);
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let default_env = get_default_env().as_bytes();
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c.bench_function("parse_default_env_file", |b| {
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b.iter_batched(
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|| nu_protocol::engine::StateWorkingSet::new(&engine_state),
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2023-04-07 23:32:44 +02:00
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|mut working_set| parse(&mut working_set, None, default_env, false),
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2023-01-11 02:51:25 +01:00
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BatchSize::SmallInput,
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)
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});
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let default_config = get_default_config().as_bytes();
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c.bench_function("parse_default_config_file", |b| {
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b.iter_batched(
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|| nu_protocol::engine::StateWorkingSet::new(&engine_state),
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2023-04-07 23:32:44 +02:00
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|mut working_set| parse(&mut working_set, None, default_config, false),
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2023-01-11 02:51:25 +01:00
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BatchSize::SmallInput,
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)
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});
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c.bench_function("eval default_env.nu", |b| {
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b.iter(|| {
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2023-06-17 14:41:29 +02:00
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let mut engine_state = load_bench_commands();
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2023-01-11 02:51:25 +01:00
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_env().as_bytes(),
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"default_env.nu",
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PipelineData::empty(),
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2023-02-02 23:07:35 +01:00
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false,
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2023-01-11 02:51:25 +01:00
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)
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})
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});
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c.bench_function("eval default_config.nu", |b| {
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b.iter(|| {
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2023-06-17 14:41:29 +02:00
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let mut engine_state = load_bench_commands();
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2023-01-11 02:51:25 +01:00
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// parsing config.nu breaks without PWD set
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engine_state.add_env_var(
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"PWD".into(),
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Value::string("/some/dir".to_string(), Span::test_data()),
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);
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_config().as_bytes(),
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"default_config.nu",
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PipelineData::empty(),
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2023-02-02 23:07:35 +01:00
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false,
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2023-01-11 02:51:25 +01:00
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)
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})
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});
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}
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fn eval_benchmarks(c: &mut Criterion) {
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c.bench_function("eval default_env.nu", |b| {
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b.iter(|| {
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2023-06-17 14:41:29 +02:00
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let mut engine_state = load_bench_commands();
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2023-01-11 02:51:25 +01:00
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_env().as_bytes(),
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"default_env.nu",
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PipelineData::empty(),
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2023-02-02 23:07:35 +01:00
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false,
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2023-01-11 02:51:25 +01:00
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)
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})
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});
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c.bench_function("eval default_config.nu", |b| {
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b.iter(|| {
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2023-06-17 14:41:29 +02:00
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let mut engine_state = load_bench_commands();
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2023-01-11 02:51:25 +01:00
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// parsing config.nu breaks without PWD set
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engine_state.add_env_var(
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"PWD".into(),
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Value::string("/some/dir".to_string(), Span::test_data()),
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);
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_config().as_bytes(),
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"default_config.nu",
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PipelineData::empty(),
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2023-02-02 23:07:35 +01:00
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false,
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2023-01-11 02:51:25 +01:00
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)
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})
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});
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}
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// generate a new table data with `row_cnt` rows, `col_cnt` columns.
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fn encoding_test_data(row_cnt: usize, col_cnt: usize) -> Value {
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Create `Record` type (#10103)
# Description
This PR creates a new `Record` type to reduce duplicate code and
possibly bugs as well. (This is an edited version of #9648.)
- `Record` implements `FromIterator` and `IntoIterator` and so can be
iterated over or collected into. For example, this helps with
conversions to and from (hash)maps. (Also, no more
`cols.iter().zip(vals)`!)
- `Record` has a `push(col, val)` function to help insure that the
number of columns is equal to the number of values. I caught a few
potential bugs thanks to this (e.g. in the `ls` command).
- Finally, this PR also adds a `record!` macro that helps simplify
record creation. It is used like so:
```rust
record! {
"key1" => some_value,
"key2" => Value::string("text", span),
"key3" => Value::int(optional_int.unwrap_or(0), span),
"key4" => Value::bool(config.setting, span),
}
```
Since macros hinder formatting, etc., the right hand side values should
be relatively short and sweet like the examples above.
Where possible, prefer `record!` or `.collect()` on an iterator instead
of multiple `Record::push`s, since the first two automatically set the
record capacity and do less work overall.
# User-Facing Changes
Besides the changes in `nu-protocol` the only other breaking changes are
to `nu-table::{ExpandedTable::build_map, JustTable::kv_table}`.
2023-08-24 21:50:29 +02:00
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let record = Value::test_record(
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(0..col_cnt)
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.map(|x| (format!("col_{x}"), Value::test_int(x as i64)))
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.collect(),
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);
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2023-01-11 02:51:25 +01:00
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Value::List {
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Create `Record` type (#10103)
# Description
This PR creates a new `Record` type to reduce duplicate code and
possibly bugs as well. (This is an edited version of #9648.)
- `Record` implements `FromIterator` and `IntoIterator` and so can be
iterated over or collected into. For example, this helps with
conversions to and from (hash)maps. (Also, no more
`cols.iter().zip(vals)`!)
- `Record` has a `push(col, val)` function to help insure that the
number of columns is equal to the number of values. I caught a few
potential bugs thanks to this (e.g. in the `ls` command).
- Finally, this PR also adds a `record!` macro that helps simplify
record creation. It is used like so:
```rust
record! {
"key1" => some_value,
"key2" => Value::string("text", span),
"key3" => Value::int(optional_int.unwrap_or(0), span),
"key4" => Value::bool(config.setting, span),
}
```
Since macros hinder formatting, etc., the right hand side values should
be relatively short and sweet like the examples above.
Where possible, prefer `record!` or `.collect()` on an iterator instead
of multiple `Record::push`s, since the first two automatically set the
record capacity and do less work overall.
# User-Facing Changes
Besides the changes in `nu-protocol` the only other breaking changes are
to `nu-table::{ExpandedTable::build_map, JustTable::kv_table}`.
2023-08-24 21:50:29 +02:00
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vals: vec![record; row_cnt],
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2023-01-11 02:51:25 +01:00
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span: Span::test_data(),
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}
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}
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fn encoding_benchmarks(c: &mut Criterion) {
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let mut group = c.benchmark_group("Encoding");
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2023-06-18 01:15:16 +02:00
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let test_cnt_pairs = [(100, 5), (100, 15), (10000, 5), (10000, 15)];
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2023-01-11 02:51:25 +01:00
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for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
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for fmt in ["json", "msgpack"] {
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group.bench_function(&format!("{fmt} encode {row_cnt} * {col_cnt}"), |b| {
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let mut res = vec![];
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let test_data =
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PluginResponse::Value(Box::new(encoding_test_data(row_cnt, col_cnt)));
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let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
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b.iter(|| encoder.encode_response(&test_data, &mut res))
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});
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}
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}
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group.finish();
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}
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fn decoding_benchmarks(c: &mut Criterion) {
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let mut group = c.benchmark_group("Decoding");
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2023-06-18 01:15:16 +02:00
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let test_cnt_pairs = [(100, 5), (100, 15), (10000, 5), (10000, 15)];
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2023-01-11 02:51:25 +01:00
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for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
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for fmt in ["json", "msgpack"] {
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group.bench_function(&format!("{fmt} decode for {row_cnt} * {col_cnt}"), |b| {
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let mut res = vec![];
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let test_data =
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PluginResponse::Value(Box::new(encoding_test_data(row_cnt, col_cnt)));
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let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
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encoder.encode_response(&test_data, &mut res).unwrap();
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let mut binary_data = std::io::Cursor::new(res);
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b.iter(|| {
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binary_data.set_position(0);
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encoder.decode_response(&mut binary_data)
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})
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});
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}
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}
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group.finish();
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}
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criterion_group!(
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benches,
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parser_benchmarks,
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eval_benchmarks,
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encoding_benchmarks,
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decoding_benchmarks
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);
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criterion_main!(benches);
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