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fix parquet max_definition for non-null structs #246

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May 4, 2021
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60 changes: 55 additions & 5 deletions parquet/src/arrow/arrow_writer.rs
Original file line number Diff line number Diff line change
Expand Up @@ -91,7 +91,7 @@ impl<W: 'static + ParquetWriter> ArrowWriter<W> {
let batch_level = LevelInfo::new_from_batch(batch);
let mut row_group_writer = self.writer.next_row_group()?;
for (array, field) in batch.columns().iter().zip(batch.schema().fields()) {
let mut levels = batch_level.calculate_array_levels(array, field);
let mut levels = batch_level.calculate_array_levels(array, field, false);
// Reverse levels as we pop() them when writing arrays
levels.reverse();
write_leaves(&mut row_group_writer, array, &mut levels)?;
Expand Down Expand Up @@ -760,10 +760,15 @@ mod tests {
let schema = Schema::new(vec![
Field::new("a", DataType::Int32, false),
Field::new("b", DataType::Int32, true),
// Note: when the below struct is set to non-nullable, this test fails,
// but the output data written is correct.
// Interestingly, pyarrow will read it correctly, but pyspark fails to.
// This might be a compatibility quirk between arrow and parquet.
// We have opened https://github.com/apache/arrow-rs/issues/245 to investigate
Field::new(
"c",
DataType::Struct(vec![struct_field_d.clone(), struct_field_e.clone()]),
true, // NB: this test fails if value is false. Why?
true,
),
]);

Expand Down Expand Up @@ -809,6 +814,48 @@ mod tests {
roundtrip("test_arrow_writer_complex.parquet", batch);
}

#[test]
fn arrow_writer_complex_mixed() {
// This test was added while investigating https://github.com/apache/arrow-rs/issues/244.
// Only writing the "offest_field" column works when "some_nested_object" is non-null.
// This indicates that a non-null struct should not have a null child (with null values).
// One observation is that spark doesn't consider the parent struct's nullness,
// and so, we should investigate the impact of always treating structs as null.
// See https://github.com/apache/arrow-rs/issues/245.

// define schema
let offset_field = Field::new("offset", DataType::Int32, true);
let partition_field = Field::new("partition", DataType::Int64, true);
let topic_field = Field::new("topic", DataType::Utf8, true);
let schema = Schema::new(vec![Field::new(
"some_nested_object",
DataType::Struct(vec![
offset_field.clone(),
partition_field.clone(),
topic_field.clone(),
]),
true,
)]);

// create some data
let offset = Int32Array::from(vec![1, 2, 3, 4, 5]);
let partition = Int64Array::from(vec![Some(1), None, None, Some(4), Some(5)]);
let topic = StringArray::from(vec![Some("A"), None, Some("A"), Some(""), None]);

let some_nested_object = StructArray::from(vec![
(offset_field, Arc::new(offset) as ArrayRef),
(partition_field, Arc::new(partition) as ArrayRef),
(topic_field, Arc::new(topic) as ArrayRef),
]);

// build a record batch
let batch =
RecordBatch::try_new(Arc::new(schema), vec![Arc::new(some_nested_object)])
.unwrap();

roundtrip("test_arrow_writer_complex_mixed.parquet", batch);
}

#[test]
fn arrow_writer_2_level_struct() {
// tests writing <struct<struct<primitive>>
Expand Down Expand Up @@ -872,7 +919,6 @@ mod tests {
}

#[test]
#[ignore = "The levels generated are correct, but because of field_a being non-nullable, we cannot write record"]
fn arrow_writer_2_level_struct_mixed_null() {
// tests writing <struct<struct<primitive>>
let field_c = Field::new("c", DataType::Int32, false);
Expand All @@ -881,10 +927,14 @@ mod tests {
let schema = Schema::new(vec![field_a.clone()]);

// create data
// When the null buffer of the struct is created, this test fails.
// It appears that the nullness of the struct is ignored when the
// struct is read back.
// See https://github.com/apache/arrow-rs/issues/245
let c = Int32Array::from(vec![1, 2, 3, 4, 5, 6]);
let b_data = ArrayDataBuilder::new(field_b.data_type().clone())
.len(6)
.null_bit_buffer(Buffer::from(vec![0b00100111]))
// .null_bit_buffer(Buffer::from(vec![0b00100111]))
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I think this is ok (given the test didn't pass previously anyways) so this isn't a regression

.add_child_data(c.data().clone())
.build();
let b = StructArray::from(b_data);
Expand All @@ -896,7 +946,7 @@ mod tests {
let a = StructArray::from(a_data);

assert_eq!(a.null_count(), 0);
assert_eq!(a.column(0).null_count(), 2);
assert_eq!(a.column(0).null_count(), 0);

// build a racord batch
let batch = RecordBatch::try_new(Arc::new(schema), vec![Arc::new(a)]).unwrap();
Expand Down
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