Added read of 2-level nested lists from parquet

parquet_integration/write_parquet.py

@@ -114,6 +114,26 @@ def case_nested(size):
         [[4, 5], [6]],
         [],
         [[7], None, [9]],
+        [[], [None], None],
+        [[10]],
+    ]
+    items_required_nested = [
+        [[0, 1]],
+        None,
+        [[2, 3], [3]],
+        [[4, 5], [6]],
+        [],
+        [[7], None, [9]],
+        None,
+        [[10]],
+    ]
+    items_required_nested_2 = [
+        [[0, 1]],
+        None,
+        [[2, 3], [3]],
+        [[4, 5], [6]],
+        [],
+        [[7], [8], [9]],
         None,
         [[10]],
     ]
@@ -140,6 +160,10 @@ def case_nested(size):
         pa.field("list_utf8", pa.list_(pa.utf8())),
         pa.field("list_large_binary", pa.list_(pa.large_binary())),
         pa.field("list_nested_i64", pa.list_(pa.list_(pa.int64()))),
+        pa.field("list_nested_inner_required_i64", pa.list_(pa.list_(pa.int64()))),
+        pa.field(
+            "list_nested_inner_required_required_i64", pa.list_(pa.list_(pa.int64()))
+        ),
     ]
     schema = pa.schema(fields)
     return (
@@ -152,6 +176,8 @@ def case_nested(size):
             "list_utf8": string * size,
             "list_large_binary": string * size,
             "list_nested_i64": items_nested * size,
+            "list_nested_inner_required_i64": items_required_nested * size,
+            "list_nested_inner_required_required_i64": items_required_nested_2 * size,
         },
         schema,
         f"nested_nullable_{size*10}.parquet",

src/io/parquet/read/binary/basic.rs

@@ -7,14 +7,15 @@ use parquet2::{
 };
 
 use crate::{
-    array::{Array, BinaryArray, Offset, Utf8Array},
+    array::{Array, Offset},
     bitmap::{utils::BitmapIter, MutableBitmap},
     buffer::MutableBuffer,
     datatypes::DataType,
     error::{ArrowError, Result},
 };
 
 use super::super::utils;
+use super::utils::finish_array;
 
 /// Assumptions: No rep levels
 #[allow(clippy::too_many_arguments)]
@@ -325,21 +326,7 @@ where
         )?
     }
 
-    Ok(match data_type {
-        DataType::LargeBinary | DataType::Binary => Box::new(BinaryArray::from_data(
-            data_type.clone(),
-            offsets.into(),
-            values.into(),
-            validity.into(),
-        )),
-        DataType::LargeUtf8 | DataType::Utf8 => Box::new(Utf8Array::from_data(
-            data_type.clone(),
-            offsets.into(),
-            values.into(),
-            validity.into(),
-        )),
-        _ => unreachable!(),
-    })
+    Ok(finish_array(data_type.clone(), offsets, values, validity))
 }
 
 pub async fn stream_to_array<O, I, E>(
@@ -371,19 +358,5 @@ where
         )?
     }
 
-    Ok(match data_type {
-        DataType::LargeBinary | DataType::Binary => Box::new(BinaryArray::from_data(
-            data_type.clone(),
-            offsets.into(),
-            values.into(),
-            validity.into(),
-        )),
-        DataType::LargeUtf8 | DataType::Utf8 => Box::new(Utf8Array::from_data(
-            data_type.clone(),
-            offsets.into(),
-            values.into(),
-            validity.into(),
-        )),
-        _ => unreachable!(),
-    })
+    Ok(finish_array(data_type.clone(), offsets, values, validity))
 }

src/io/parquet/read/binary/mod.rs

@@ -1,6 +1,7 @@
 mod basic;
 mod dictionary;
 mod nested;
+mod utils;
 
 pub use basic::iter_to_array;
 pub use basic::stream_to_array;

src/io/parquet/read/binary/nested.rs

@@ -11,8 +11,9 @@ use parquet2::{
 use super::super::nested_utils::*;
 use super::super::utils;
 use super::basic::read_plain_required;
+use super::utils::finish_array;
 use crate::{
-    array::{Array, BinaryArray, Offset, Utf8Array},
+    array::{Array, Offset},
     bitmap::MutableBitmap,
     buffer::MutableBuffer,
     datatypes::DataType,
@@ -150,7 +151,7 @@ pub fn iter_to_array<O, I, E>(
     mut iter: I,
     metadata: &ColumnChunkMetaData,
     data_type: DataType,
-) -> Result<Box<dyn Array>>
+) -> Result<(Arc<dyn Array>, Vec<Box<dyn Nested>>)>
 where
     O: Offset,
     ArrowError: From<E>,
@@ -176,32 +177,7 @@ where
         )?
     }
 
-    let inner_data_type = match data_type {
-        DataType::List(ref inner) => inner.data_type(),
-        DataType::LargeList(ref inner) => inner.data_type(),
-        _ => {
-            return Err(ArrowError::NotYetImplemented(format!(
-                "Read nested datatype {:?}",
-                data_type
-            )))
-        }
-    };
-
-    let values = match inner_data_type {
-        DataType::LargeBinary | DataType::Binary => Arc::new(BinaryArray::from_data(
-            inner_data_type.clone(),
-            offsets.into(),
-            values.into(),
-            validity.into(),
-        )) as Arc<dyn Array>,
-        DataType::LargeUtf8 | DataType::Utf8 => Arc::new(Utf8Array::from_data(
-            inner_data_type.clone(),
-            offsets.into(),
-            values.into(),
-            validity.into(),
-        )) as Arc<dyn Array>,
-        _ => unreachable!(),
-    };
+    let values = finish_array(data_type, offsets, values, validity).into();
 
-    create_list(data_type, &mut nested, values)
+    Ok((values, nested))
 }

src/io/parquet/read/binary/utils.rs

@@ -0,0 +1,29 @@
+use crate::{
+    array::{Array, BinaryArray, Offset, Utf8Array},
+    bitmap::MutableBitmap,
+    buffer::MutableBuffer,
+    datatypes::DataType,
+};
+
+pub(super) fn finish_array<O: Offset>(
+    data_type: DataType,
+    offsets: MutableBuffer<O>,
+    values: MutableBuffer<u8>,
+    validity: MutableBitmap,
+) -> Box<dyn Array> {
+    match data_type {
+        DataType::LargeBinary | DataType::Binary => Box::new(BinaryArray::from_data(
+            data_type,
+            offsets.into(),
+            values.into(),
+            validity.into(),
+        )),
+        DataType::LargeUtf8 | DataType::Utf8 => Box::new(Utf8Array::from_data(
+            data_type,
+            offsets.into(),
+            values.into(),
+            validity.into(),
+        )),
+        _ => unreachable!(),
+    }
+}

src/io/parquet/read/boolean/nested.rs

@@ -135,7 +135,7 @@ pub fn iter_to_array<I, E>(
     mut iter: I,
     metadata: &ColumnChunkMetaData,
     data_type: DataType,
-) -> Result<Box<dyn Array>>
+) -> Result<(Arc<dyn Array>, Vec<Box<dyn Nested>>)>
 where
     ArrowError: From<E>,
     I: FallibleStreamingIterator<Item = DataPage, Error = E>,
@@ -157,22 +157,11 @@ where
         )?
     }
 
-    let inner_data_type = match data_type {
-        DataType::List(ref inner) => inner.data_type(),
-        DataType::LargeList(ref inner) => inner.data_type(),
-        _ => {
-            return Err(ArrowError::NotYetImplemented(format!(
-                "Read nested datatype {:?}",
-                data_type
-            )))
-        }
-    };
-
     let values = Arc::new(BooleanArray::from_data(
-        inner_data_type.clone(),
+        data_type,
         values.into(),
         validity.into(),
     ));
 
-    create_list(data_type, &mut nested, values)
+    Ok((values, nested))
 }

src/io/parquet/read/mod.rs

@@ -1,4 +1,6 @@
 //! APIs to read from Parquet format.
+#![allow(clippy::type_complexity)]
+
 use std::{
     convert::TryInto,
     io::{Read, Seek},
@@ -28,6 +30,7 @@ use crate::{
     array::{Array, DictionaryKey, PrimitiveArray},
     datatypes::{DataType, IntervalUnit, TimeUnit},
     error::{ArrowError, Result},
+    io::parquet::read::nested_utils::create_list,
 };
 
 mod binary;
@@ -44,6 +47,8 @@ pub use record_batch::RecordReader;
 pub(crate) use schema::is_type_nullable;
 pub use schema::{get_schema, FileMetaData};
 
+use self::nested_utils::Nested;
+
 /// Creates a new iterator of compressed pages.
 pub fn get_page_iterator<'b, RR: Read + Seek>(
     column_metadata: &ColumnChunkMetaData,
@@ -165,6 +170,62 @@ fn dict_read<
     }
 }
 
+fn page_iter_to_array_nested<
+    I: FallibleStreamingIterator<Item = DataPage, Error = ParquetError>,
+>(
+    iter: &mut I,
+    metadata: &ColumnChunkMetaData,
+    data_type: DataType,
+) -> Result<(Arc<dyn Array>, Vec<Box<dyn Nested>>)> {
+    use DataType::*;
+    match data_type {
+        UInt8 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as u8),
+        UInt16 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as u16),
+        UInt32 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as u32),
+        Int8 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as i8),
+        Int16 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as i16),
+        Int32 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as i32),
+
+        Timestamp(TimeUnit::Nanosecond, None) => match metadata.descriptor().type_() {
+            ParquetType::PrimitiveType { physical_type, .. } => match physical_type {
+                PhysicalType::Int96 => primitive::iter_to_array_nested(
+                    iter,
+                    metadata,
+                    DataType::Timestamp(TimeUnit::Nanosecond, None),
+                    int96_to_i64_ns,
+                ),
+                _ => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i64| x),
+            },
+            _ => unreachable!(),
+        },
+
+        // INT64
+        Int64 | Date64 | Time64(_) | Duration(_) | Timestamp(_, _) => {
+            primitive::iter_to_array_nested(iter, metadata, data_type, |x: i64| x)
+        }
+        UInt64 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i64| x as u64),
+
+        Float32 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: f32| x),
+        Float64 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: f64| x),
+
+        Boolean => boolean::iter_to_array_nested(iter, metadata, data_type),
+
+        Binary | Utf8 => binary::iter_to_array_nested::<i32, _, _>(iter, metadata, data_type),
+        LargeBinary | LargeUtf8 => {
+            binary::iter_to_array_nested::<i64, _, _>(iter, metadata, data_type)
+        }
+        List(ref inner) => {
+            let (values, mut nested) =
+                page_iter_to_array_nested(iter, metadata, inner.data_type().clone())?;
+            Ok((create_list(data_type, &mut nested, values)?.into(), nested))
+        }
+        other => Err(ArrowError::NotYetImplemented(format!(
+            "Reading {:?} from parquet still not implemented",
+            other
+        ))),
+    }
+}
+
 /// Converts an iterator of [`DataPage`] into a single [`Array`].
 pub fn page_iter_to_array<I: FallibleStreamingIterator<Item = DataPage, Error = ParquetError>>(
     iter: &mut I,
@@ -255,47 +316,16 @@ pub fn page_iter_to_array<I: FallibleStreamingIterator<Item = DataPage, Error =
             },
             _ => unreachable!(),
         },
-        List(ref inner) => match inner.data_type() {
-            UInt8 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as u8),
-            UInt16 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as u16),
-            UInt32 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as u32),
-            Int8 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as i8),
-            Int16 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as i16),
-            Int32 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i32| x as i32),
-
-            Timestamp(TimeUnit::Nanosecond, None) => match metadata.descriptor().type_() {
-                ParquetType::PrimitiveType { physical_type, .. } => match physical_type {
-                    PhysicalType::Int96 => primitive::iter_to_array_nested(
-                        iter,
-                        metadata,
-                        DataType::Timestamp(TimeUnit::Nanosecond, None),
-                        int96_to_i64_ns,
-                    ),
-                    _ => primitive::iter_to_array(iter, metadata, data_type, |x: i64| x),
-                },
-                _ => unreachable!(),
-            },
-
-            // INT64
-            Int64 | Date64 | Time64(_) | Duration(_) | Timestamp(_, _) => {
-                primitive::iter_to_array_nested(iter, metadata, data_type, |x: i64| x)
-            }
-            UInt64 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: i64| x as u64),
-
-            Float32 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: f32| x),
-            Float64 => primitive::iter_to_array_nested(iter, metadata, data_type, |x: f64| x),
-
-            Boolean => boolean::iter_to_array_nested(iter, metadata, data_type),
-
-            Binary | Utf8 => binary::iter_to_array_nested::<i32, _, _>(iter, metadata, data_type),
-            LargeBinary | LargeUtf8 => {
-                binary::iter_to_array_nested::<i64, _, _>(iter, metadata, data_type)
-            }
-            other => Err(ArrowError::NotYetImplemented(format!(
-                "Reading {:?} from parquet still not implemented",
-                other
-            ))),
-        },
+        List(ref inner) => {
+            let (values, mut nested) =
+                page_iter_to_array_nested(iter, metadata, inner.data_type().clone())?;
+            create_list(data_type, &mut nested, values)
+        }
+        LargeList(ref inner) => {
+            let (values, mut nested) =
+                page_iter_to_array_nested(iter, metadata, inner.data_type().clone())?;
+            create_list(data_type, &mut nested, values)
+        }
 
         Dictionary(ref key, _) => match key.as_ref() {
             Int8 => dict_read::<i8, _>(iter, metadata, data_type),