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// 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.
//! Contains column reader API.
use bytes::Bytes;
use super::page::{Page, PageReader};
use crate::basic::*;
use crate::column::reader::decoder::{
ColumnValueDecoder, ColumnValueDecoderImpl, DefinitionLevelDecoder, DefinitionLevelDecoderImpl,
RepetitionLevelDecoder, RepetitionLevelDecoderImpl,
};
use crate::data_type::*;
use crate::errors::{ParquetError, Result};
use crate::schema::types::ColumnDescPtr;
use crate::util::bit_util::{ceil, num_required_bits, read_num_bytes};
pub(crate) mod decoder;
/// Column reader for a Parquet type.
pub enum ColumnReader {
/// Column reader for boolean type
BoolColumnReader(ColumnReaderImpl<BoolType>),
/// Column reader for int32 type
Int32ColumnReader(ColumnReaderImpl<Int32Type>),
/// Column reader for int64 type
Int64ColumnReader(ColumnReaderImpl<Int64Type>),
/// Column reader for int96 type
Int96ColumnReader(ColumnReaderImpl<Int96Type>),
/// Column reader for float type
FloatColumnReader(ColumnReaderImpl<FloatType>),
/// Column reader for double type
DoubleColumnReader(ColumnReaderImpl<DoubleType>),
/// Column reader for byte array type
ByteArrayColumnReader(ColumnReaderImpl<ByteArrayType>),
/// Column reader for fixed length byte array type
FixedLenByteArrayColumnReader(ColumnReaderImpl<FixedLenByteArrayType>),
}
/// Gets a specific column reader corresponding to column descriptor `col_descr`. The
/// column reader will read from pages in `col_page_reader`.
pub fn get_column_reader(
col_descr: ColumnDescPtr,
col_page_reader: Box<dyn PageReader>,
) -> ColumnReader {
match col_descr.physical_type() {
Type::BOOLEAN => {
ColumnReader::BoolColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::INT32 => {
ColumnReader::Int32ColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::INT64 => {
ColumnReader::Int64ColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::INT96 => {
ColumnReader::Int96ColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::FLOAT => {
ColumnReader::FloatColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::DOUBLE => {
ColumnReader::DoubleColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::BYTE_ARRAY => {
ColumnReader::ByteArrayColumnReader(ColumnReaderImpl::new(col_descr, col_page_reader))
}
Type::FIXED_LEN_BYTE_ARRAY => ColumnReader::FixedLenByteArrayColumnReader(
ColumnReaderImpl::new(col_descr, col_page_reader),
),
}
}
/// Gets a typed column reader for the specific type `T`, by "up-casting" `col_reader` of
/// non-generic type to a generic column reader type `ColumnReaderImpl`.
///
/// Panics if actual enum value for `col_reader` does not match the type `T`.
pub fn get_typed_column_reader<T: DataType>(col_reader: ColumnReader) -> ColumnReaderImpl<T> {
T::get_column_reader(col_reader).unwrap_or_else(|| {
panic!(
"Failed to convert column reader into a typed column reader for `{}` type",
T::get_physical_type()
)
})
}
/// Typed value reader for a particular primitive column.
pub type ColumnReaderImpl<T> = GenericColumnReader<
RepetitionLevelDecoderImpl,
DefinitionLevelDecoderImpl,
ColumnValueDecoderImpl<T>,
>;
/// Reads data for a given column chunk, using the provided decoders:
///
/// - R: `ColumnLevelDecoder` used to decode repetition levels
/// - D: `ColumnLevelDecoder` used to decode definition levels
/// - V: `ColumnValueDecoder` used to decode value data
pub struct GenericColumnReader<R, D, V> {
descr: ColumnDescPtr,
page_reader: Box<dyn PageReader>,
/// The total number of values stored in the data page.
num_buffered_values: usize,
/// The number of values from the current data page that has been decoded into memory
/// so far.
num_decoded_values: usize,
/// True if the end of the current data page denotes the end of a record
has_record_delimiter: bool,
/// The decoder for the definition levels if any
def_level_decoder: Option<D>,
/// The decoder for the repetition levels if any
rep_level_decoder: Option<R>,
/// The decoder for the values
values_decoder: V,
}
impl<V> GenericColumnReader<RepetitionLevelDecoderImpl, DefinitionLevelDecoderImpl, V>
where
V: ColumnValueDecoder,
{
/// Creates new column reader based on column descriptor and page reader.
pub fn new(descr: ColumnDescPtr, page_reader: Box<dyn PageReader>) -> Self {
let values_decoder = V::new(&descr);
let def_level_decoder = (descr.max_def_level() != 0)
.then(|| DefinitionLevelDecoderImpl::new(descr.max_def_level()));
let rep_level_decoder = (descr.max_rep_level() != 0)
.then(|| RepetitionLevelDecoderImpl::new(descr.max_rep_level()));
Self::new_with_decoders(
descr,
page_reader,
values_decoder,
def_level_decoder,
rep_level_decoder,
)
}
}
impl<R, D, V> GenericColumnReader<R, D, V>
where
R: RepetitionLevelDecoder,
D: DefinitionLevelDecoder,
V: ColumnValueDecoder,
{
pub(crate) fn new_with_decoders(
descr: ColumnDescPtr,
page_reader: Box<dyn PageReader>,
values_decoder: V,
def_level_decoder: Option<D>,
rep_level_decoder: Option<R>,
) -> Self {
Self {
descr,
def_level_decoder,
rep_level_decoder,
page_reader,
num_buffered_values: 0,
num_decoded_values: 0,
values_decoder,
has_record_delimiter: false,
}
}
/// Reads a batch of values of at most `batch_size`, returning a tuple containing the
/// actual number of non-null values read, followed by the corresponding number of levels,
/// i.e, the total number of values including nulls, empty lists, etc...
///
/// If the max definition level is 0, `def_levels` will be ignored, otherwise it will be
/// populated with the number of levels read, with an error returned if it is `None`.
///
/// If the max repetition level is 0, `rep_levels` will be ignored, otherwise it will be
/// populated with the number of levels read, with an error returned if it is `None`.
///
/// `values` will be contiguously populated with the non-null values. Note that if the column
/// is not required, this may be less than either `batch_size` or the number of levels read
#[deprecated(note = "Use read_records")]
pub fn read_batch(
&mut self,
batch_size: usize,
def_levels: Option<&mut D::Buffer>,
rep_levels: Option<&mut R::Buffer>,
values: &mut V::Buffer,
) -> Result<(usize, usize)> {
let (_, values, levels) = self.read_records(batch_size, def_levels, rep_levels, values)?;
Ok((values, levels))
}
/// Read up to `max_records` whole records, returning the number of complete
/// records, non-null values and levels decoded. All levels for a given record
/// will be read, i.e. the next repetition level, if any, will be 0
///
/// If the max definition level is 0, `def_levels` will be ignored and the number of records,
/// non-null values and levels decoded will all be equal, otherwise `def_levels` will be
/// populated with the number of levels read, with an error returned if it is `None`.
///
/// If the max repetition level is 0, `rep_levels` will be ignored and the number of records
/// and levels decoded will both be equal, otherwise `rep_levels` will be populated with
/// the number of levels read, with an error returned if it is `None`.
///
/// `values` will be contiguously populated with the non-null values. Note that if the column
/// is not required, this may be less than either `max_records` or the number of levels read
pub fn read_records(
&mut self,
max_records: usize,
mut def_levels: Option<&mut D::Buffer>,
mut rep_levels: Option<&mut R::Buffer>,
values: &mut V::Buffer,
) -> Result<(usize, usize, usize)> {
let mut total_records_read = 0;
let mut total_levels_read = 0;
let mut total_values_read = 0;
while total_records_read < max_records && self.has_next()? {
let remaining_records = max_records - total_records_read;
let remaining_levels = self.num_buffered_values - self.num_decoded_values;
let (records_read, levels_to_read) = match self.rep_level_decoder.as_mut() {
Some(reader) => {
let out = rep_levels
.as_mut()
.ok_or_else(|| general_err!("must specify repetition levels"))?;
let (mut records_read, levels_read) =
reader.read_rep_levels(out, remaining_records, remaining_levels)?;
if records_read == 0 && levels_read == 0 {
// The fact that we're still looping implies there must be some levels to read.
return Err(general_err!(
"Insufficient repetition levels read from column"
));
}
if levels_read == remaining_levels && self.has_record_delimiter {
// Reached end of page, which implies records_read < remaining_records
// as otherwise would have stopped reading before reaching the end
assert!(records_read < remaining_records); // Sanity check
records_read += reader.flush_partial() as usize;
}
(records_read, levels_read)
}
None => {
let min = remaining_records.min(remaining_levels);
(min, min)
}
};
let values_to_read = match self.def_level_decoder.as_mut() {
Some(reader) => {
let out = def_levels
.as_mut()
.ok_or_else(|| general_err!("must specify definition levels"))?;
let (values_read, levels_read) = reader.read_def_levels(out, levels_to_read)?;
if levels_read != levels_to_read {
return Err(general_err!("insufficient definition levels read from column - expected {rep_levels}, got {read}"));
}
values_read
}
None => levels_to_read,
};
let values_read = self.values_decoder.read(values, values_to_read)?;
if values_read != values_to_read {
return Err(general_err!(
"insufficient values read from column - expected: {values_to_read}, got: {values_read}",
));
}
self.num_decoded_values += levels_to_read;
total_records_read += records_read;
total_levels_read += levels_to_read;
total_values_read += values_read;
}
Ok((total_records_read, total_values_read, total_levels_read))
}
/// Skips over `num_records` records, where records are delimited by repetition levels of 0
///
/// # Returns
///
/// Returns the number of records skipped
pub fn skip_records(&mut self, num_records: usize) -> Result<usize> {
let mut remaining_records = num_records;
while remaining_records != 0 {
if self.num_buffered_values == self.num_decoded_values {
let metadata = match self.page_reader.peek_next_page()? {
None => return Ok(num_records - remaining_records),
Some(metadata) => metadata,
};
// If dictionary, we must read it
if metadata.is_dict {
self.read_dictionary_page()?;
continue;
}
// If page has less rows than the remaining records to
// be skipped, skip entire page
let rows = metadata.num_rows.or_else(|| {
// If no repetition levels, num_levels == num_rows
self.rep_level_decoder
.is_none()
.then_some(metadata.num_levels)?
});
if let Some(rows) = rows {
if rows <= remaining_records {
self.page_reader.skip_next_page()?;
remaining_records -= rows;
continue;
}
}
// because self.num_buffered_values == self.num_decoded_values means
// we need reads a new page and set up the decoders for levels
if !self.read_new_page()? {
return Ok(num_records - remaining_records);
}
}
// start skip values in page level
// The number of levels in the current data page
let remaining_levels = self.num_buffered_values - self.num_decoded_values;
let (records_read, rep_levels_read) = match self.rep_level_decoder.as_mut() {
Some(decoder) => {
let (mut records_read, levels_read) =
decoder.skip_rep_levels(remaining_records, remaining_levels)?;
if levels_read == remaining_levels && self.has_record_delimiter {
// Reached end of page, which implies records_read < remaining_records
// as otherwise would have stopped reading before reaching the end
assert!(records_read < remaining_records); // Sanity check
records_read += decoder.flush_partial() as usize;
}
(records_read, levels_read)
}
None => {
// No repetition levels, so each level corresponds to a row
let levels = remaining_levels.min(remaining_records);
(levels, levels)
}
};
self.num_decoded_values += rep_levels_read;
remaining_records -= records_read;
if self.num_buffered_values == self.num_decoded_values {
// Exhausted buffered page - no need to advance other decoders
continue;
}
let (values_read, def_levels_read) = match self.def_level_decoder.as_mut() {
Some(decoder) => decoder.skip_def_levels(rep_levels_read)?,
None => (rep_levels_read, rep_levels_read),
};
if rep_levels_read != def_levels_read {
return Err(general_err!(
"levels mismatch, read {} repetition levels and {} definition levels",
rep_levels_read,
def_levels_read
));
}
let values = self.values_decoder.skip_values(values_read)?;
if values != values_read {
return Err(general_err!(
"skipped {} values, expected {}",
values,
values_read
));
}
}
Ok(num_records - remaining_records)
}
/// Read the next page as a dictionary page. If the next page is not a dictionary page,
/// this will return an error.
fn read_dictionary_page(&mut self) -> Result<()> {
match self.page_reader.get_next_page()? {
Some(Page::DictionaryPage {
buf,
num_values,
encoding,
is_sorted,
}) => self
.values_decoder
.set_dict(buf, num_values, encoding, is_sorted),
_ => Err(ParquetError::General(
"Invalid page. Expecting dictionary page".to_string(),
)),
}
}
/// Reads a new page and set up the decoders for levels, values or dictionary.
/// Returns false if there's no page left.
fn read_new_page(&mut self) -> Result<bool> {
loop {
match self.page_reader.get_next_page()? {
// No more page to read
None => return Ok(false),
Some(current_page) => {
match current_page {
// 1. Dictionary page: configure dictionary for this page.
Page::DictionaryPage {
buf,
num_values,
encoding,
is_sorted,
} => {
self.values_decoder
.set_dict(buf, num_values, encoding, is_sorted)?;
continue;
}
// 2. Data page v1
Page::DataPage {
buf,
num_values,
encoding,
def_level_encoding,
rep_level_encoding,
statistics: _,
} => {
self.num_buffered_values = num_values as _;
self.num_decoded_values = 0;
let max_rep_level = self.descr.max_rep_level();
let max_def_level = self.descr.max_def_level();
let mut offset = 0;
if max_rep_level > 0 {
let (bytes_read, level_data) = parse_v1_level(
max_rep_level,
num_values,
rep_level_encoding,
buf.slice(offset..),
)?;
offset += bytes_read;
self.has_record_delimiter =
self.page_reader.at_record_boundary()?;
self.rep_level_decoder
.as_mut()
.unwrap()
.set_data(rep_level_encoding, level_data);
}
if max_def_level > 0 {
let (bytes_read, level_data) = parse_v1_level(
max_def_level,
num_values,
def_level_encoding,
buf.slice(offset..),
)?;
offset += bytes_read;
self.def_level_decoder
.as_mut()
.unwrap()
.set_data(def_level_encoding, level_data);
}
self.values_decoder.set_data(
encoding,
buf.slice(offset..),
num_values as usize,
None,
)?;
return Ok(true);
}
// 3. Data page v2
Page::DataPageV2 {
buf,
num_values,
encoding,
num_nulls,
num_rows: _,
def_levels_byte_len,
rep_levels_byte_len,
is_compressed: _,
statistics: _,
} => {
if num_nulls > num_values {
return Err(general_err!("more nulls than values in page, contained {} values and {} nulls", num_values, num_nulls));
}
self.num_buffered_values = num_values as _;
self.num_decoded_values = 0;
// DataPage v2 only supports RLE encoding for repetition
// levels
if self.descr.max_rep_level() > 0 {
// Technically a DataPage v2 should not write a record
// across multiple pages, however, the parquet writer
// used to do this so we preserve backwards compatibility
self.has_record_delimiter =
self.page_reader.at_record_boundary()?;
self.rep_level_decoder.as_mut().unwrap().set_data(
Encoding::RLE,
buf.slice(..rep_levels_byte_len as usize),
);
}
// DataPage v2 only supports RLE encoding for definition
// levels
if self.descr.max_def_level() > 0 {
self.def_level_decoder.as_mut().unwrap().set_data(
Encoding::RLE,
buf.slice(
rep_levels_byte_len as usize
..(rep_levels_byte_len + def_levels_byte_len) as usize,
),
);
}
self.values_decoder.set_data(
encoding,
buf.slice((rep_levels_byte_len + def_levels_byte_len) as usize..),
num_values as usize,
Some((num_values - num_nulls) as usize),
)?;
return Ok(true);
}
};
}
}
}
}
/// Check whether there is more data to read from this column,
/// If the current page is fully decoded, this will load the next page
/// (if it exists) into the buffer
#[inline]
pub(crate) fn has_next(&mut self) -> Result<bool> {
if self.num_buffered_values == 0 || self.num_buffered_values == self.num_decoded_values {
// TODO: should we return false if read_new_page() = true and
// num_buffered_values = 0?
if !self.read_new_page()? {
Ok(false)
} else {
Ok(self.num_buffered_values != 0)
}
} else {
Ok(true)
}
}
}
fn parse_v1_level(
max_level: i16,
num_buffered_values: u32,
encoding: Encoding,
buf: Bytes,
) -> Result<(usize, Bytes)> {
match encoding {
Encoding::RLE => {
let i32_size = std::mem::size_of::<i32>();
let data_size = read_num_bytes::<i32>(i32_size, buf.as_ref()) as usize;
Ok((
i32_size + data_size,
buf.slice(i32_size..i32_size + data_size),
))
}
#[allow(deprecated)]
Encoding::BIT_PACKED => {
let bit_width = num_required_bits(max_level as u64);
let num_bytes = ceil(num_buffered_values as usize * bit_width as usize, 8);
Ok((num_bytes, buf.slice(..num_bytes)))
}
_ => Err(general_err!("invalid level encoding: {}", encoding)),
}
}
#[cfg(test)]
mod tests {
use super::*;
use rand::distributions::uniform::SampleUniform;
use std::{collections::VecDeque, sync::Arc};
use crate::basic::Type as PhysicalType;
use crate::schema::types::{ColumnDescriptor, ColumnPath, Type as SchemaType};
use crate::util::test_common::page_util::InMemoryPageReader;
use crate::util::test_common::rand_gen::make_pages;
const NUM_LEVELS: usize = 128;
const NUM_PAGES: usize = 2;
const MAX_DEF_LEVEL: i16 = 5;
const MAX_REP_LEVEL: i16 = 5;
// Macro to generate test cases
macro_rules! test {
// branch for generating i32 cases
($test_func:ident, i32, $func:ident, $def_level:expr, $rep_level:expr,
$num_pages:expr, $num_levels:expr, $batch_size:expr, $min:expr, $max:expr) => {
test_internal!(
$test_func,
Int32Type,
get_test_int32_type,
$func,
$def_level,
$rep_level,
$num_pages,
$num_levels,
$batch_size,
$min,
$max
);
};
// branch for generating i64 cases
($test_func:ident, i64, $func:ident, $def_level:expr, $rep_level:expr,
$num_pages:expr, $num_levels:expr, $batch_size:expr, $min:expr, $max:expr) => {
test_internal!(
$test_func,
Int64Type,
get_test_int64_type,
$func,
$def_level,
$rep_level,
$num_pages,
$num_levels,
$batch_size,
$min,
$max
);
};
}
macro_rules! test_internal {
($test_func:ident, $ty:ident, $pty:ident, $func:ident, $def_level:expr,
$rep_level:expr, $num_pages:expr, $num_levels:expr, $batch_size:expr,
$min:expr, $max:expr) => {
#[test]
fn $test_func() {
let desc = Arc::new(ColumnDescriptor::new(
Arc::new($pty()),
$def_level,
$rep_level,
ColumnPath::new(Vec::new()),
));
let mut tester = ColumnReaderTester::<$ty>::new();
tester.$func(desc, $num_pages, $num_levels, $batch_size, $min, $max);
}
};
}
test!(
test_read_plain_v1_int32,
i32,
plain_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
16,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v2_int32,
i32,
plain_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
16,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v1_int32_uneven,
i32,
plain_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
17,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v2_int32_uneven,
i32,
plain_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
17,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v1_int32_multi_page,
i32,
plain_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
512,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v2_int32_multi_page,
i32,
plain_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
512,
i32::MIN,
i32::MAX
);
// test cases when column descriptor has MAX_DEF_LEVEL = 0 and MAX_REP_LEVEL = 0
test!(
test_read_plain_v1_int32_required_non_repeated,
i32,
plain_v1,
0,
0,
NUM_PAGES,
NUM_LEVELS,
16,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v2_int32_required_non_repeated,
i32,
plain_v2,
0,
0,
NUM_PAGES,
NUM_LEVELS,
16,
i32::MIN,
i32::MAX
);
test!(
test_read_plain_v1_int64,
i64,
plain_v1,
1,
1,
NUM_PAGES,
NUM_LEVELS,
16,
i64::MIN,
i64::MAX
);
test!(
test_read_plain_v2_int64,
i64,
plain_v2,
1,
1,
NUM_PAGES,
NUM_LEVELS,
16,
i64::MIN,
i64::MAX
);
test!(
test_read_plain_v1_int64_uneven,
i64,
plain_v1,
1,
1,
NUM_PAGES,
NUM_LEVELS,
17,
i64::MIN,
i64::MAX
);
test!(
test_read_plain_v2_int64_uneven,
i64,
plain_v2,
1,
1,
NUM_PAGES,
NUM_LEVELS,
17,
i64::MIN,
i64::MAX
);
test!(
test_read_plain_v1_int64_multi_page,
i64,
plain_v1,
1,
1,
NUM_PAGES,
NUM_LEVELS,
512,
i64::MIN,
i64::MAX
);
test!(
test_read_plain_v2_int64_multi_page,
i64,
plain_v2,
1,
1,
NUM_PAGES,
NUM_LEVELS,
512,
i64::MIN,
i64::MAX
);
// test cases when column descriptor has MAX_DEF_LEVEL = 0 and MAX_REP_LEVEL = 0
test!(
test_read_plain_v1_int64_required_non_repeated,
i64,
plain_v1,
0,
0,
NUM_PAGES,
NUM_LEVELS,
16,
i64::MIN,
i64::MAX
);
test!(
test_read_plain_v2_int64_required_non_repeated,
i64,
plain_v2,
0,
0,
NUM_PAGES,
NUM_LEVELS,
16,
i64::MIN,
i64::MAX
);
test!(
test_read_dict_v1_int32_small,
i32,
dict_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
2,
2,
16,
0,
3
);
test!(
test_read_dict_v2_int32_small,
i32,
dict_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
2,
2,
16,
0,
3
);
test!(
test_read_dict_v1_int32,
i32,
dict_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
16,
0,
3
);
test!(
test_read_dict_v2_int32,
i32,
dict_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
16,
0,
3
);
test!(
test_read_dict_v1_int32_uneven,
i32,
dict_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
17,
0,
3
);
test!(
test_read_dict_v2_int32_uneven,
i32,
dict_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
17,
0,
3
);
test!(
test_read_dict_v1_int32_multi_page,
i32,
dict_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
512,
0,
3
);
test!(
test_read_dict_v2_int32_multi_page,
i32,
dict_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
512,
0,
3
);
test!(
test_read_dict_v1_int64,
i64,
dict_v1,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
16,
0,
3
);
test!(
test_read_dict_v2_int64,
i64,
dict_v2,
MAX_DEF_LEVEL,
MAX_REP_LEVEL,
NUM_PAGES,
NUM_LEVELS,
16,
0,
3
);
#[test]
fn test_read_batch_values_only() {
test_read_batch_int32(16, 0, 0);
}
#[test]
fn test_read_batch_values_def_levels() {
test_read_batch_int32(16, MAX_DEF_LEVEL, 0);
}
#[test]
fn test_read_batch_values_rep_levels() {
test_read_batch_int32(16, 0, MAX_REP_LEVEL);
}
#[test]
fn test_read_batch_values_def_rep_levels() {
test_read_batch_int32(128, MAX_DEF_LEVEL, MAX_REP_LEVEL);
}
#[test]
fn test_read_batch_adjust_after_buffering_page() {
// This test covers scenario when buffering new page results in setting number
// of decoded values to 0, resulting on reading `batch_size` of values, but it is
// larger than we can insert into slice (affects values and levels).
//
// Note: values are chosen to reproduce the issue.
//
let primitive_type = get_test_int32_type();
let desc = Arc::new(ColumnDescriptor::new(
Arc::new(primitive_type),
1,
1,
ColumnPath::new(Vec::new()),
));
let num_pages = 2;
let num_levels = 4;
let batch_size = 5;
let mut tester = ColumnReaderTester::<Int32Type>::new();
tester.test_read_batch(
desc,
Encoding::RLE_DICTIONARY,
num_pages,
num_levels,
batch_size,
i32::MIN,
i32::MAX,
false,
);
}
// ----------------------------------------------------------------------
// Helper methods to make pages and test
//
// # Overview
//
// Most of the test functionality is implemented in `ColumnReaderTester`, which
// provides some general data page test methods:
// - `test_read_batch_general`
// - `test_read_batch`
//
// There are also some high level wrappers that are part of `ColumnReaderTester`:
// - `plain_v1` -> call `test_read_batch_general` with data page v1 and plain encoding
// - `plain_v2` -> call `test_read_batch_general` with data page v2 and plain encoding
// - `dict_v1` -> call `test_read_batch_general` with data page v1 + dictionary page
// - `dict_v2` -> call `test_read_batch_general` with data page v2 + dictionary page
//
// And even higher level wrappers that simplify testing of almost the same test cases:
// - `get_test_int32_type`, provides dummy schema type
// - `get_test_int64_type`, provides dummy schema type
// - `test_read_batch_int32`, wrapper for `read_batch` tests, since they are basically
// the same, just different def/rep levels and batch size.
//
// # Page assembly
//
// Page construction and generation of values, definition and repetition levels
// happens in `make_pages` function.
// All values are randomly generated based on provided min/max, levels are calculated
// based on provided max level for column descriptor (which is basically either int32
// or int64 type in tests) and `levels_per_page` variable.
//
// We use `DataPageBuilder` and its implementation `DataPageBuilderImpl` to actually
// turn values, definition and repetition levels into data pages (either v1 or v2).
//
// Those data pages are then stored as part of `TestPageReader` (we just pass vector
// of generated pages directly), which implements `PageReader` interface.
//
// # Comparison
//
// This allows us to pass test page reader into column reader, so we can test
// functionality of column reader - see `test_read_batch`, where we create column
// reader -> typed column reader, buffer values in `read_batch` method and compare
// output with generated data.
// Returns dummy Parquet `Type` for primitive field, because most of our tests use
// INT32 physical type.
fn get_test_int32_type() -> SchemaType {
SchemaType::primitive_type_builder("a", PhysicalType::INT32)
.with_repetition(Repetition::REQUIRED)
.with_converted_type(ConvertedType::INT_32)
.with_length(-1)
.build()
.expect("build() should be OK")
}
// Returns dummy Parquet `Type` for INT64 physical type.
fn get_test_int64_type() -> SchemaType {
SchemaType::primitive_type_builder("a", PhysicalType::INT64)
.with_repetition(Repetition::REQUIRED)
.with_converted_type(ConvertedType::INT_64)
.with_length(-1)
.build()
.expect("build() should be OK")
}
// Tests `read_batch()` functionality for INT32.
//
// This is a high level wrapper on `ColumnReaderTester` that allows us to specify some
// boilerplate code for setting up definition/repetition levels and column descriptor.
fn test_read_batch_int32(batch_size: usize, max_def_level: i16, max_rep_level: i16) {
let primitive_type = get_test_int32_type();
let desc = Arc::new(ColumnDescriptor::new(
Arc::new(primitive_type),
max_def_level,
max_rep_level,
ColumnPath::new(Vec::new()),
));
let mut tester = ColumnReaderTester::<Int32Type>::new();
tester.test_read_batch(
desc,
Encoding::RLE_DICTIONARY,
NUM_PAGES,
NUM_LEVELS,
batch_size,
i32::MIN,
i32::MAX,
false,
);
}
struct ColumnReaderTester<T: DataType>
where
T::T: PartialOrd + SampleUniform + Copy,
{
rep_levels: Vec<i16>,
def_levels: Vec<i16>,
values: Vec<T::T>,
}
impl<T: DataType> ColumnReaderTester<T>
where
T::T: PartialOrd + SampleUniform + Copy,
{
pub fn new() -> Self {
Self {
rep_levels: Vec::new(),
def_levels: Vec::new(),
values: Vec::new(),
}
}
// Method to generate and test data pages v1
fn plain_v1(
&mut self,
desc: ColumnDescPtr,
num_pages: usize,
num_levels: usize,
batch_size: usize,
min: T::T,
max: T::T,
) {
self.test_read_batch_general(
desc,
Encoding::PLAIN,
num_pages,
num_levels,
batch_size,
min,
max,
false,
);
}
// Method to generate and test data pages v2
fn plain_v2(
&mut self,
desc: ColumnDescPtr,
num_pages: usize,
num_levels: usize,
batch_size: usize,
min: T::T,
max: T::T,
) {
self.test_read_batch_general(
desc,
Encoding::PLAIN,
num_pages,
num_levels,
batch_size,
min,
max,
true,
);
}
// Method to generate and test dictionary page + data pages v1
fn dict_v1(
&mut self,
desc: ColumnDescPtr,
num_pages: usize,
num_levels: usize,
batch_size: usize,
min: T::T,
max: T::T,
) {
self.test_read_batch_general(
desc,
Encoding::RLE_DICTIONARY,
num_pages,
num_levels,
batch_size,
min,
max,
false,
);
}
// Method to generate and test dictionary page + data pages v2
fn dict_v2(
&mut self,
desc: ColumnDescPtr,
num_pages: usize,
num_levels: usize,
batch_size: usize,
min: T::T,
max: T::T,
) {
self.test_read_batch_general(
desc,
Encoding::RLE_DICTIONARY,
num_pages,
num_levels,
batch_size,
min,
max,
true,
);
}
// Helper function for the general case of `read_batch()` where `values`,
// `def_levels` and `rep_levels` are always provided with enough space.
#[allow(clippy::too_many_arguments)]
fn test_read_batch_general(
&mut self,
desc: ColumnDescPtr,
encoding: Encoding,
num_pages: usize,
num_levels: usize,
batch_size: usize,
min: T::T,
max: T::T,
use_v2: bool,
) {
self.test_read_batch(
desc, encoding, num_pages, num_levels, batch_size, min, max, use_v2,
);
}
// Helper function to test `read_batch()` method with custom buffers for values,
// definition and repetition levels.
#[allow(clippy::too_many_arguments)]
fn test_read_batch(
&mut self,
desc: ColumnDescPtr,
encoding: Encoding,
num_pages: usize,
num_levels: usize,
batch_size: usize,
min: T::T,
max: T::T,
use_v2: bool,
) {
let mut pages = VecDeque::new();
make_pages::<T>(
desc.clone(),
encoding,
num_pages,
num_levels,
min,
max,
&mut self.def_levels,
&mut self.rep_levels,
&mut self.values,
&mut pages,
use_v2,
);
let max_def_level = desc.max_def_level();
let max_rep_level = desc.max_rep_level();
let page_reader = InMemoryPageReader::new(pages);
let column_reader: ColumnReader = get_column_reader(desc, Box::new(page_reader));
let mut typed_column_reader = get_typed_column_reader::<T>(column_reader);
let mut values = Vec::new();
let mut def_levels = Vec::new();
let mut rep_levels = Vec::new();
let mut curr_values_read = 0;
let mut curr_levels_read = 0;
loop {
let (_, values_read, levels_read) = typed_column_reader
.read_records(
batch_size,
Some(&mut def_levels),
Some(&mut rep_levels),
&mut values,
)
.expect("read_batch() should be OK");
curr_values_read += values_read;
curr_levels_read += levels_read;
if values_read == 0 && levels_read == 0 {
break;
}
}
assert_eq!(values, self.values, "values content doesn't match");
if max_def_level > 0 {
assert_eq!(
def_levels, self.def_levels,
"definition levels content doesn't match"
);
}
if max_rep_level > 0 {
assert_eq!(
rep_levels, self.rep_levels,
"repetition levels content doesn't match"
);
}
assert!(
curr_levels_read >= curr_values_read,
"expected levels read to be greater than values read"
);
}
}
}