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Merge f235bec into 7f60f0b
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alamb authored Apr 20, 2021
2 parents 7f60f0b + f235bec commit 3933a28
Showing 1 changed file with 131 additions and 1 deletion.
132 changes: 131 additions & 1 deletion arrow/src/record_batch.rs
Original file line number Diff line number Diff line change
Expand Up @@ -243,6 +243,90 @@ impl RecordBatch {
pub fn columns(&self) -> &[ArrayRef] {
&self.columns[..]
}

/// Create a `RecordBatch` from an iterable list of pairs of the
/// form `(field_name, array)`, with the same requirements on
/// fields and arrays as [`RecordBatch::try_new`]. This method is
/// often used to create a single `RecordBatch` from arrays,
/// e.g. for testing.
///
/// The resulting schema is marked as nullable for each column if
/// the array for that column is has any nulls. To explicitly
/// specify nullibility, use [`RecordBatch::try_from_iter_with_nullable`]
///
/// Example:
/// ```
/// use std::sync::Arc;
/// use arrow::array::{ArrayRef, Int32Array, StringArray};
/// use arrow::datatypes::{Schema, Field, DataType};
/// use arrow::record_batch::RecordBatch;
///
/// let a: ArrayRef = Arc::new(Int32Array::from(vec![1, 2]));
/// let b: ArrayRef = Arc::new(StringArray::from(vec!["a", "b"]));
///
/// let record_batch = RecordBatch::try_from_iter(vec![
/// ("a", a),
/// ("b", b),
/// ]);
///
pub fn try_from_iter<I, F>(value: I) -> Result<Self>
where
I: IntoIterator<Item = (F, ArrayRef)>,
F: AsRef<str>,
{
// TODO: implement `TryFrom` trait, once
// https://github.com/rust-lang/rust/issues/50133 is no longer an
// issue
let iter = value.into_iter().map(|(field_name, array)| {
let nullable = array.null_count() > 0;
(field_name, array, nullable)
});

Self::try_from_iter_with_nullable(iter)
}

/// Create a `RecordBatch` from an iterable list of tuples of the
/// form `(field_name, array, nullable)`, with the same requirements on
/// fields and arrays as [`RecordBatch::try_new`]. This method is often
/// used to create a single `RecordBatch` from arrays, e.g. for
/// testing.
///
/// Example:
/// ```
/// use std::sync::Arc;
/// use arrow::array::{ArrayRef, Int32Array, StringArray};
/// use arrow::datatypes::{Schema, Field, DataType};
/// use arrow::record_batch::RecordBatch;
///
/// let a: ArrayRef = Arc::new(Int32Array::from(vec![1, 2]));
/// let b: ArrayRef = Arc::new(StringArray::from(vec![Some("a"), Some("b")]));
///
/// // Note neither `a` nor `b` has any actual nulls, but we mark
/// // b an nullable
/// let record_batch = RecordBatch::try_from_iter_with_nullable(vec![
/// ("a", a, false),
/// ("b", b, true),
/// ]);
pub fn try_from_iter_with_nullable<I, F>(value: I) -> Result<Self>
where
I: IntoIterator<Item = (F, ArrayRef, bool)>,
F: AsRef<str>,
{
// TODO: implement `TryFrom` trait, once
// https://github.com/rust-lang/rust/issues/50133 is no longer an
// issue
let (fields, columns) = value
.into_iter()
.map(|(field_name, array, nullable)| {
let field_name = field_name.as_ref();
let field = Field::new(field_name, array.data_type().clone(), nullable);
(field, array)
})
.unzip();

let schema = Arc::new(Schema::new(fields));
RecordBatch::try_new(schema, columns)
}
}

/// Options that control the behaviour used when creating a [`RecordBatch`].
Expand All @@ -261,7 +345,8 @@ impl Default for RecordBatchOptions {
}

impl From<&StructArray> for RecordBatch {
/// Create a record batch from struct array.
/// Create a record batch from struct array, where each field of
/// the `StructArray` becomes a `Field` in the schema.
///
/// This currently does not flatten and nested struct types
fn from(struct_array: &StructArray) -> Self {
Expand Down Expand Up @@ -328,7 +413,10 @@ mod tests {
let record_batch =
RecordBatch::try_new(Arc::new(schema), vec![Arc::new(a), Arc::new(b)])
.unwrap();
check_batch(record_batch)
}

fn check_batch(record_batch: RecordBatch) {
assert_eq!(5, record_batch.num_rows());
assert_eq!(2, record_batch.num_columns());
assert_eq!(&DataType::Int32, record_batch.schema().field(0).data_type());
Expand All @@ -337,6 +425,48 @@ mod tests {
assert_eq!(5, record_batch.column(1).data().len());
}

#[test]
fn create_record_batch_try_from_iter() {
let a: ArrayRef = Arc::new(Int32Array::from(vec![
Some(1),
Some(2),
None,
Some(4),
Some(5),
]));
let b: ArrayRef = Arc::new(StringArray::from(vec!["a", "b", "c", "d", "e"]));

let record_batch = RecordBatch::try_from_iter(vec![("a", a), ("b", b)])
.expect("valid conversion");

let expected_schema = Schema::new(vec![
Field::new("a", DataType::Int32, true),
Field::new("b", DataType::Utf8, false),
]);
assert_eq!(record_batch.schema().as_ref(), &expected_schema);
check_batch(record_batch);
}

#[test]
fn create_record_batch_try_from_iter_with_nullable() {
let a: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3, 4, 5]));
let b: ArrayRef = Arc::new(StringArray::from(vec!["a", "b", "c", "d", "e"]));

// Note there are no nulls in a or b, but we specify that b is nullable
let record_batch = RecordBatch::try_from_iter_with_nullable(vec![
("a", a, false),
("b", b, true),
])
.expect("valid conversion");

let expected_schema = Schema::new(vec![
Field::new("a", DataType::Int32, false),
Field::new("b", DataType::Utf8, true),
]);
assert_eq!(record_batch.schema().as_ref(), &expected_schema);
check_batch(record_batch);
}

#[test]
fn create_record_batch_schema_mismatch() {
let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]);
Expand Down

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