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arrow.rs
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use datafusion::arrow::{
array::{
types::Int8Type, ArrayBuilder, BinaryBuilder, BooleanBuilder, Date32Builder, Date64Builder,
Decimal128Builder, Decimal256Builder, FixedSizeBinaryBuilder, FixedSizeListBuilder,
Float32Builder, Float64Builder, Int16Builder, Int32Builder, Int64Builder, Int8Builder,
IntervalMonthDayNanoBuilder, LargeBinaryBuilder, LargeStringBuilder, ListBuilder,
NullBuilder, StringBuilder, StringDictionaryBuilder, StructBuilder,
Time64NanosecondBuilder, TimestampMicrosecondBuilder, TimestampMillisecondBuilder,
TimestampNanosecondBuilder, TimestampSecondBuilder, UInt16Builder, UInt32Builder,
UInt64Builder, UInt8Builder,
},
datatypes::{DataType, TimeUnit, UInt16Type},
};
pub fn map_data_type_to_array_builder_optional(
data_type: Option<&DataType>,
) -> Option<Box<dyn ArrayBuilder>> {
match data_type {
Some(data_type) => Some(map_data_type_to_array_builder(data_type)),
None => None,
}
}
#[allow(clippy::too_many_lines)]
pub fn map_data_type_to_array_builder(data_type: &DataType) -> Box<dyn ArrayBuilder> {
match data_type {
DataType::Int8 => Box::new(Int8Builder::new()),
DataType::Int16 => Box::new(Int16Builder::new()),
DataType::Int32 => Box::new(Int32Builder::new()),
DataType::Int64 => Box::new(Int64Builder::new()),
DataType::UInt8 => Box::new(UInt8Builder::new()),
DataType::UInt16 => Box::new(UInt16Builder::new()),
DataType::UInt32 => Box::new(UInt32Builder::new()),
DataType::UInt64 => Box::new(UInt64Builder::new()),
DataType::Float32 => Box::new(Float32Builder::new()),
DataType::Float64 => Box::new(Float64Builder::new()),
DataType::Utf8 => Box::new(StringBuilder::new()),
DataType::LargeUtf8 => Box::new(LargeStringBuilder::new()),
DataType::Boolean => Box::new(BooleanBuilder::new()),
DataType::Binary => Box::new(BinaryBuilder::new()),
DataType::LargeBinary => Box::new(LargeBinaryBuilder::new()),
DataType::Interval(_) => Box::new(IntervalMonthDayNanoBuilder::new()),
DataType::Decimal128(precision, scale) => Box::new(
Decimal128Builder::new()
.with_precision_and_scale(*precision, *scale)
.unwrap_or_default(),
),
DataType::Decimal256(precision, scale) => Box::new(
Decimal256Builder::new()
.with_precision_and_scale(*precision, *scale)
.unwrap_or_default(),
),
DataType::Timestamp(time_unit, time_zone) => match time_unit {
TimeUnit::Microsecond => {
Box::new(TimestampMicrosecondBuilder::new().with_timezone_opt(time_zone.clone()))
}
TimeUnit::Second => {
Box::new(TimestampSecondBuilder::new().with_timezone_opt(time_zone.clone()))
}
TimeUnit::Millisecond => {
Box::new(TimestampMillisecondBuilder::new().with_timezone_opt(time_zone.clone()))
}
TimeUnit::Nanosecond => {
Box::new(TimestampNanosecondBuilder::new().with_timezone_opt(time_zone.clone()))
}
},
DataType::Dictionary(ref key_type, ref value_type) => match (&**key_type, &**value_type) {
(DataType::Int8, DataType::Utf8) => {
Box::new(StringDictionaryBuilder::<Int8Type>::new())
}
(DataType::UInt16, DataType::Utf8) => {
Box::new(StringDictionaryBuilder::<UInt16Type>::new())
}
_ => unimplemented!("Unimplemented dictionary type"),
},
DataType::Date32 => Box::new(Date32Builder::new()),
DataType::Date64 => Box::new(Date64Builder::new()),
// For time format, always use nanosecond
DataType::Time64(TimeUnit::Nanosecond) => Box::new(Time64NanosecondBuilder::new()),
DataType::FixedSizeBinary(s) => Box::new(FixedSizeBinaryBuilder::new(*s)),
// We can't recursively call map_data_type_to_array_builder here because downcasting will not work if the
// values_builder is boxed.
DataType::List(values_field) | DataType::LargeList(values_field) => {
match values_field.data_type() {
DataType::Int8 => Box::new(ListBuilder::new(Int8Builder::new())),
DataType::Int16 => Box::new(ListBuilder::new(Int16Builder::new())),
DataType::Int32 => Box::new(ListBuilder::new(Int32Builder::new())),
DataType::Int64 => Box::new(ListBuilder::new(Int64Builder::new())),
DataType::Float32 => Box::new(ListBuilder::new(Float32Builder::new())),
DataType::Float64 => Box::new(ListBuilder::new(Float64Builder::new())),
DataType::Utf8 => Box::new(ListBuilder::new(StringBuilder::new())),
DataType::Boolean => Box::new(ListBuilder::new(BooleanBuilder::new())),
DataType::Binary => Box::new(ListBuilder::new(BinaryBuilder::new())),
_ => unimplemented!("Unsupported list value data type {:?}", data_type),
}
}
DataType::FixedSizeList(values_field, size) => match values_field.data_type() {
DataType::Int8 => Box::new(FixedSizeListBuilder::new(
Int8Builder::new(),
size.to_owned(),
)),
DataType::Int16 => Box::new(FixedSizeListBuilder::new(
Int16Builder::new(),
size.to_owned(),
)),
DataType::Int32 => Box::new(FixedSizeListBuilder::new(
Int32Builder::new(),
size.to_owned(),
)),
DataType::Int64 => Box::new(FixedSizeListBuilder::new(
Int64Builder::new(),
size.to_owned(),
)),
DataType::Float32 => Box::new(FixedSizeListBuilder::new(
Float32Builder::new(),
size.to_owned(),
)),
DataType::Float64 => Box::new(FixedSizeListBuilder::new(
Float64Builder::new(),
size.to_owned(),
)),
DataType::Utf8 => Box::new(FixedSizeListBuilder::new(
StringBuilder::new(),
size.to_owned(),
)),
DataType::Boolean => Box::new(FixedSizeListBuilder::new(
BooleanBuilder::new(),
size.to_owned(),
)),
_ => unimplemented!("Unsupported list value data type {:?}", data_type),
},
DataType::Null => Box::new(NullBuilder::new()),
DataType::Struct(fields) => {
let mut field_builders = Vec::with_capacity(fields.len());
for field in fields {
field_builders.push(map_data_type_to_array_builder(field.data_type()));
}
Box::new(StructBuilder::new(fields.clone(), field_builders))
}
_ => unimplemented!("Unsupported data type {:?}", data_type),
}
}