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Add chunked reader benchmark #13223

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merged 2 commits into from
Apr 26, 2023
Merged

Add chunked reader benchmark #13223

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c47f3b8
Add chunked reader benchmark
SrikarVanavasam Apr 26, 2023
81394f0
Merge branch 'branch-23.06' into chunked_parquet_reader_benchmark
SrikarVanavasam Apr 26, 2023
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58 changes: 58 additions & 0 deletions cpp/benchmarks/io/parquet/parquet_reader_input.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,54 @@ void BM_parquet_read_io_compression(
parquet_read_common(write_opts, source_sink, state);
}

template <data_type DataType, cudf::io::io_type IOType>
void BM_parquet_read_chunks(
nvbench::state& state,
nvbench::type_list<nvbench::enum_type<DataType>, nvbench::enum_type<IOType>>)
{
auto const d_type = get_type_or_group(static_cast<int32_t>(DataType));
cudf::size_type const cardinality = state.get_int64("cardinality");
cudf::size_type const run_length = state.get_int64("run_length");
cudf::size_type const byte_limit = state.get_int64("byte_limit");
auto const compression = cudf::io::compression_type::SNAPPY;

auto const tbl =
create_random_table(cycle_dtypes(d_type, num_cols),
table_size_bytes{data_size},
data_profile_builder().cardinality(cardinality).avg_run_length(run_length));
auto const view = tbl->view();

cuio_source_sink_pair source_sink(IOType);
cudf::io::parquet_writer_options write_opts =
cudf::io::parquet_writer_options::builder(source_sink.make_sink_info(), view)
.compression(compression);

cudf::io::write_parquet(write_opts);

cudf::io::parquet_reader_options read_opts =
cudf::io::parquet_reader_options::builder(source_sink.make_source_info());
auto reader = cudf::io::chunked_parquet_reader(byte_limit, read_opts);

auto mem_stats_logger = cudf::memory_stats_logger();
state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value()));
state.exec(nvbench::exec_tag::sync | nvbench::exec_tag::timer,
[&](nvbench::launch& launch, auto& timer) {
try_drop_l3_cache();

timer.start();
do {
auto chunk = reader.read_chunk();
} while (reader.has_next());
timer.stop();
});

auto const time = state.get_summary("nv/cold/time/gpu/mean").get_float64("value");
state.add_element_count(static_cast<double>(data_size) / time, "bytes_per_second");
state.add_buffer_size(
mem_stats_logger.peak_memory_usage(), "peak_memory_usage", "peak_memory_usage");
state.add_buffer_size(source_sink.size(), "encoded_file_size", "encoded_file_size");
}

using d_type_list = nvbench::enum_type_list<data_type::INTEGRAL,
data_type::FLOAT,
data_type::DECIMAL,
Expand Down Expand Up @@ -145,3 +193,13 @@ NVBENCH_BENCH_TYPES(BM_parquet_read_io_compression, NVBENCH_TYPE_AXES(io_list, c
.set_min_samples(4)
.add_int64_axis("cardinality", {0, 1000})
.add_int64_axis("run_length", {1, 32});

NVBENCH_BENCH_TYPES(BM_parquet_read_chunks,
NVBENCH_TYPE_AXES(d_type_list,
nvbench::enum_type_list<cudf::io::io_type::DEVICE_BUFFER>))
.set_name("parquet_read_chunks")
.set_type_axes_names({"data_type", "io"})
.set_min_samples(4)
.add_int64_axis("cardinality", {0, 1000})
.add_int64_axis("run_length", {1, 32})
.add_int64_axis("byte_limit", {0, 500'000});