jecsand838 commented on code in PR #8025: URL: https://github.com/apache/arrow-rs/pull/8025#discussion_r2257647972
########## arrow-avro/benches/decoder.rs: ########## @@ -0,0 +1,436 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +//! Benchmarks for `arrow‑avro` **Decoder** +//! + +extern crate apache_avro; +extern crate arrow_avro; +extern crate criterion; +extern crate num_bigint; +extern crate once_cell; +extern crate uuid; + +use apache_avro::types::Value; +use apache_avro::{to_avro_datum, Decimal, Schema as ApacheSchema}; +use arrow_avro::{reader::ReaderBuilder, schema::Schema as AvroSchema}; +use criterion::{criterion_group, criterion_main, BatchSize, BenchmarkId, Criterion, Throughput}; +use once_cell::sync::Lazy; +use std::{hint::black_box, io, time::Duration}; +use uuid::Uuid; + +fn encode_records(schema: &ApacheSchema, rows: impl Iterator<Item = Value>) -> Vec<u8> { + let mut out = Vec::new(); + for v in rows { + out.extend_from_slice(&to_avro_datum(schema, v).expect("encode datum failed")); + } + out +} + +fn gen_int(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Int(i as i32))])), + ) +} + +fn gen_long(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Long(i as i64))])), + ) +} + +fn gen_float(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Float(i as f32 + 0.5678))])), + ) +} + +fn gen_bool(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Boolean(i % 2 == 0))])), + ) +} + +fn gen_double(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Double(i as f64 + 0.1234))])), + ) +} + +fn gen_bytes(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let payload = vec![(i & 0xFF) as u8; 16]; + Value::Record(vec![("field1".into(), Value::Bytes(payload))]) + }), + ) +} + +fn gen_string(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let s = if i % 3 == 0 { + format!("value-{i}") + } else { + "abcdefghij".into() + }; + Value::Record(vec![("field1".into(), Value::String(s))]) + }), + ) +} + +fn gen_date(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Int(i as i32))])), + ) +} + +fn gen_timemillis(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Int((i * 37) as i32))])), + ) +} + +fn gen_timemicros(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| Value::Record(vec![("field1".into(), Value::Long((i * 1_001) as i64))])), + ) +} + +fn gen_ts_millis(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + Value::Record(vec![( + "field1".into(), + Value::Long(1_600_000_000_000 + i as i64), + )]) + }), + ) +} + +fn gen_ts_micros(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + Value::Record(vec![( + "field1".into(), + Value::Long(1_600_000_000_000_000 + i as i64), + )]) + }), + ) +} + +fn gen_map(sc: &ApacheSchema, n: usize) -> Vec<u8> { + use std::collections::HashMap; + encode_records( + sc, + (0..n).map(|i| { + let mut m = HashMap::new(); + let int_val = |v: i32| Value::Union(0, Box::new(Value::Int(v))); + m.insert("key1".into(), int_val(i as i32)); + let key2_val = if i % 5 == 0 { + Value::Union(1, Box::new(Value::Null)) + } else { + int_val(i as i32 + 1) + }; + m.insert("key2".into(), key2_val); + m.insert("key3".into(), int_val(42)); + Value::Record(vec![("field1".into(), Value::Map(m))]) + }), + ) +} + +fn gen_array(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let items = (0..5).map(|j| Value::Int(i as i32 + j)).collect(); + Value::Record(vec![("field1".into(), Value::Array(items))]) + }), + ) +} + +fn trim_i128_be(v: i128) -> Vec<u8> { + let full = v.to_be_bytes(); + let first = full + .iter() + .enumerate() + .take_while(|(i, b)| { + *i < 15 + && ((**b == 0x00 && full[i + 1] & 0x80 == 0) + || (**b == 0xFF && full[i + 1] & 0x80 != 0)) + }) + .count(); + full[first..].to_vec() +} + +fn gen_decimal(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let unscaled = if i % 2 == 0 { i as i128 } else { -(i as i128) }; + Value::Record(vec![( + "field1".into(), + Value::Decimal(Decimal::from(trim_i128_be(unscaled))), + )]) + }), + ) +} + +fn gen_uuid(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let mut raw = (i as u128).to_be_bytes(); + raw[6] = (raw[6] & 0x0F) | 0x40; + raw[8] = (raw[8] & 0x3F) | 0x80; + Value::Record(vec![("field1".into(), Value::Uuid(Uuid::from_bytes(raw)))]) + }), + ) +} + +fn gen_fixed(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let mut buf = vec![0u8; 16]; + buf[..8].copy_from_slice(&(i as u64).to_be_bytes()); + Value::Record(vec![("field1".into(), Value::Fixed(16, buf))]) + }), + ) +} + +fn gen_interval(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let months = (i % 24) as u32; + let days = (i % 32) as u32; + let millis = (i * 10) as u32; + let mut buf = Vec::with_capacity(12); + buf.extend_from_slice(&months.to_le_bytes()); + buf.extend_from_slice(&days.to_le_bytes()); + buf.extend_from_slice(&millis.to_le_bytes()); + Value::Record(vec![("field1".into(), Value::Fixed(12, buf))]) + }), + ) +} + +fn gen_enum(sc: &ApacheSchema, n: usize) -> Vec<u8> { + const SYMBOLS: [&str; 3] = ["A", "B", "C"]; + encode_records( + sc, + (0..n).map(|i| { + let idx = i % 3; + Value::Record(vec![( + "field1".into(), + Value::Enum(idx as u32, SYMBOLS[idx].into()), + )]) + }), + ) +} + +fn gen_mixed(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + Value::Record(vec![ + ("f1".into(), Value::Int(i as i32)), + ("f2".into(), Value::Long(i as i64)), + ("f3".into(), Value::String(format!("name-{i}"))), + ("f4".into(), Value::Double(i as f64 * 1.5)), + ]) + }), + ) +} + +fn gen_nested(sc: &ApacheSchema, n: usize) -> Vec<u8> { + encode_records( + sc, + (0..n).map(|i| { + let sub = Value::Record(vec![ + ("x".into(), Value::Int(i as i32)), + ("y".into(), Value::String("constant".into())), + ]); + Value::Record(vec![("sub".into(), sub)]) + }), + ) +} + +const DEFAULT_BATCH: usize = 65_536; + +fn new_decoder( + schema_json: &'static str, + batch_size: usize, + utf8view: bool, +) -> arrow_avro::reader::Decoder { + let schema: AvroSchema<'static> = serde_json::from_str(schema_json).unwrap(); + ReaderBuilder::new() + .with_schema(schema) + .with_batch_size(batch_size) + .with_utf8_view(utf8view) + .build_decoder(io::empty()) Review Comment: That's about to be removed as `.build_decoder` doesn't need a `Reader` once https://github.com/apache/arrow-rs/pull/8006 is finalized and merged in. -- This is an automated message from the Apache Git Service. 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