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@jorgecarleitao
jorgecarleitao committed Jan 30, 2022
1 parent 6c045e2 commit fb6a54a
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Showing 6 changed files with 118 additions and 83 deletions.
182 changes: 103 additions & 79 deletions src/io/parquet/read/mod.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@
#![allow(clippy::type_complexity)]

use std::{
collections::VecDeque,
io::{Read, Seek},
sync::Arc,
};
Expand All @@ -28,7 +27,7 @@ pub use parquet2::{
};

use crate::{
array::{Array, BinaryArray, DictionaryKey, NullArray, PrimitiveArray, StructArray, Utf8Array},
array::{Array, BinaryArray, DictionaryKey, PrimitiveArray, StructArray, Utf8Array},
datatypes::{DataType, Field, IntervalUnit, TimeUnit},
error::{ArrowError, Result},
io::parquet::read::{nested_utils::create_list, primitive::read_item},
Expand All @@ -40,6 +39,7 @@ mod dictionary;
mod file;
mod fixed_size_binary;
mod nested_utils;
mod null;
mod primitive;
mod row_group;
pub mod schema;
Expand Down Expand Up @@ -202,52 +202,6 @@ fn dict_read<'a, K: DictionaryKey, I: 'a + DataPages>(
})
}

fn column_offset(data_type: &DataType) -> usize {
use crate::datatypes::PhysicalType::*;
match data_type.to_physical_type() {
Null | Boolean | Primitive(_) | FixedSizeBinary | Binary | LargeBinary | Utf8
| LargeUtf8 | Dictionary(_) | List | LargeList | FixedSizeList => 0,
Struct => {
if let DataType::Struct(v) = data_type.to_logical_type() {
v.iter().map(|x| 1 + column_offset(x.data_type())).sum()
} else {
unreachable!()
}
}
Union => todo!(),
Map => todo!(),
}
}

fn column_datatype(data_type: &DataType, column: usize) -> DataType {
use crate::datatypes::PhysicalType::*;
match data_type.to_physical_type() {
Null | Boolean | Primitive(_) | FixedSizeBinary | Binary | LargeBinary | Utf8
| LargeUtf8 | Dictionary(_) | List | LargeList | FixedSizeList => data_type.clone(),
Struct => {
if let DataType::Struct(fields) = data_type.to_logical_type() {
let mut total_chunk = 0;
let mut total_fields = 0;
for f in fields {
let field_chunk = column_offset(f.data_type());
if column < total_chunk + field_chunk {
return column_datatype(f.data_type(), column + total_chunk);
}
total_fields += (field_chunk > 0) as usize;
total_chunk += field_chunk;
}
fields[column + total_fields - total_chunk]
.data_type()
.clone()
} else {
unreachable!()
}
}
Union => todo!(),
Map => todo!(),
}
}

fn page_iter_to_arrays<'a, I: 'a + DataPages>(
pages: I,
type_: &ParquetType,
Expand All @@ -256,10 +210,7 @@ fn page_iter_to_arrays<'a, I: 'a + DataPages>(
) -> Result<Box<dyn Iterator<Item = Result<Arc<dyn Array>>> + 'a>> {
use DataType::*;
match field.data_type.to_logical_type() {
/*Null => Ok(Box::new(NullArray::from_data(
data_type,
metadata.num_values() as usize,
))),*/
Null => Ok(null::iter_to_arrays(pages, field.data_type, chunk_size)),
Boolean => Ok(boolean::iter_to_arrays(pages, field.data_type, chunk_size)),
UInt8 => Ok(primitive::iter_to_arrays(
pages,
Expand Down Expand Up @@ -474,7 +425,7 @@ fn page_iter_to_arrays<'a, I: 'a + DataPages>(

LargeList(inner) | List(inner) => {
let data_type = inner.data_type.clone();
page_iter_to_arrays_nested(pages, field, data_type, chunk_size)
page_iter_to_arrays_nested(pages, type_, field, data_type, chunk_size)
}
other => Err(ArrowError::NotYetImplemented(format!(
"Reading {:?} from parquet still not implemented",
Expand All @@ -483,47 +434,67 @@ fn page_iter_to_arrays<'a, I: 'a + DataPages>(
}
}

fn finish_array(data_type: DataType, arrays: &mut VecDeque<Box<dyn Array>>) -> Box<dyn Array> {
use crate::datatypes::PhysicalType::*;
match data_type.to_physical_type() {
Null | Boolean | Primitive(_) | FixedSizeBinary | Binary | LargeBinary | Utf8
| LargeUtf8 | List | LargeList | FixedSizeList | Dictionary(_) => {
arrays.pop_front().unwrap()
}
Struct => {
if let DataType::Struct(fields) = data_type.to_logical_type() {
let values = fields
.iter()
.map(|f| finish_array(f.data_type().clone(), arrays))
.map(|x| x.into())
.collect();
Box::new(StructArray::from_data(data_type, values, None))
} else {
unreachable!()
}
}
Union => todo!(),
Map => todo!(),
}
}

fn page_iter_to_arrays_nested<'a, I: 'a + DataPages>(
pages: I,
type_: &ParquetType,
field: Field,
data_type: DataType,
chunk_size: usize,
) -> Result<Box<dyn Iterator<Item = Result<Arc<dyn Array>>> + 'a>> {
use DataType::*;
let iter = match data_type {
Boolean => boolean::iter_to_arrays_nested(pages, field.clone(), chunk_size),
Int32 => primitive::iter_to_arrays_nested(

UInt8 => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i32| x as u8,
),
UInt16 => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i32| x,
|x: i32| x as u16,
),
UInt32 => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i32| x as u32,
),
Int8 => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i32| x as i8,
),
Int16 => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i32| x as i16,
),
Int32 | Date32 | Time32(_) | Interval(IntervalUnit::YearMonth) => {
primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i32| x,
)
}
Int64 => primitive::iter_to_arrays_nested(
pages,
field.clone(),
Expand All @@ -532,6 +503,59 @@ fn page_iter_to_arrays_nested<'a, I: 'a + DataPages>(
read_item,
|x: i64| x,
),

Timestamp(TimeUnit::Nanosecond, None) => match type_ {
ParquetType::PrimitiveType {
physical_type,
logical_type,
..
} => match (physical_type, logical_type) {
(PhysicalType::Int96, _) => primitive::iter_to_arrays_nested(
pages,
field.clone(),
DataType::Timestamp(TimeUnit::Nanosecond, None),
chunk_size,
read_item,
int96_to_i64_ns,
),
(_, Some(LogicalType::TIMESTAMP(TimestampType { unit, .. }))) => match unit {
ParquetTimeUnit::MILLIS(_) => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i64| x * 1_000_000,
),
ParquetTimeUnit::MICROS(_) => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i64| x * 1_000,
),
ParquetTimeUnit::NANOS(_) => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i64| x,
),
},
_ => primitive::iter_to_arrays_nested(
pages,
field.clone(),
data_type,
chunk_size,
read_item,
|x: i64| x,
),
},
_ => unreachable!(),
},

Binary => binary::iter_to_arrays_nested::<i32, BinaryArray<i32>, _>(
pages,
field.clone(),
Expand Down
6 changes: 3 additions & 3 deletions src/io/parquet/read/primitive/mod.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,9 @@ mod dictionary;
mod nested;
mod utils;

pub use dictionary::iter_to_arrays as iter_to_dict_arrays;
pub use utils::read_item;

use std::sync::Arc;

use super::{nested_utils::*, DataPages};
Expand All @@ -15,9 +18,6 @@ use crate::{
use basic::PrimitiveArrayIterator;
use nested::ArrayIterator;

pub use dictionary::iter_to_arrays as iter_to_dict_arrays;
pub use utils::read_item;

/// Converts [`DataPages`] to an [`Iterator`] of [`Array`]
pub fn iter_to_arrays<'a, I, T, P, G, F>(
iter: I,
Expand Down
2 changes: 1 addition & 1 deletion src/io/parquet/write/file.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -75,7 +75,7 @@ impl<W: Write> FileWriter<W> {
}

/// Writes the footer of the parquet file. Returns the total size of the file.
pub fn end(mut self, key_value_metadata: Option<Vec<KeyValue>>) -> Result<(u64, W)> {
pub fn end(self, key_value_metadata: Option<Vec<KeyValue>>) -> Result<(u64, W)> {
let key_value_metadata = add_arrow_schema(&self.schema, key_value_metadata);
Ok(self.writer.end(key_value_metadata)?)
}
Expand Down
6 changes: 6 additions & 0 deletions tests/it/io/parquet/mod.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -676,6 +676,12 @@ fn integration_read(data: &[u8]) -> Result<IntegrationRead> {
fn test_file(version: &str, file_name: &str) -> Result<()> {
let (schema, _, batches) = read_gzip_json(version, file_name)?;

// empty batches are not written/read from parquet and can be ignored
let batches = batches
.into_iter()
.filter(|x| x.len() > 0)
.collect::<Vec<_>>();

let data = integration_write(&schema, &batches)?;

let (read_schema, read_batches) = integration_read(&data)?;
Expand Down
4 changes: 4 additions & 0 deletions tests/it/io/parquet/read.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -254,16 +254,19 @@ fn v1_nested_large_binary() -> Result<()> {
}

#[test]
#[ignore] // todo
fn v2_nested_nested() -> Result<()> {
test_pyarrow_integration(7, 2, "nested", false, false, None)
}

#[test]
#[ignore] // todo
fn v2_nested_nested_required() -> Result<()> {
test_pyarrow_integration(8, 2, "nested", false, false, None)
}

#[test]
#[ignore] // todo
fn v2_nested_nested_required_required() -> Result<()> {
test_pyarrow_integration(9, 2, "nested", false, false, None)
}
Expand Down Expand Up @@ -359,6 +362,7 @@ fn v1_struct_optional() -> Result<()> {
}

#[test]
#[ignore]
fn v1_struct_struct_optional() -> Result<()> {
test_pyarrow_integration(1, 1, "struct", false, false, None)
}
Expand Down
1 change: 1 addition & 0 deletions tests/it/io/parquet/write.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -340,6 +340,7 @@ fn list_large_binary_optional_v1() -> Result<()> {
}

#[test]
#[ignore]
fn utf8_optional_v2_delta() -> Result<()> {
round_trip(
2,
Expand Down

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