Extract parquet statistics from LargeUtf8 columns

[alamb]

Is your feature request related to a problem or challenge?

Part of #10453, where we are filling out support for extracting statistics for all data types from parquet files

At the moment, even if statistics are extracted for a different type (like Int32) the PruningPredicate will attempt to cast these values to the correct type:

datafusion/datafusion/core/src/physical_optimizer/pruning.rs

Lines 909 to 911 in acd7106

	// cast statistics array to required data type (e.g. parquet
	// provides timestamp statistics as "Int64")
	let array = arrow::compute::cast(&array, data_type)?;

However, in order to be efficient and ensure the cast kernel doesn't add anything incorrectly, we should be extracting the parquet statistics as the correct Array type directly. It turns out we do not do this yet for several types and those types do not have good (or any) test coverage. We almost missed this in #10711 in @xinlifoobar

Thus, we need to add support and tests for other types

Describe the solution you'd like

1. Add a new test to arrow_stastics.rs (run this with cargo test --test parquet_exec) with the relevant type
2. Potentially add a new case to the match here

   datafusion/datafusion/core/src/datasource/physical_plan/parquet/statistics.rs

   Lines 61 to 182 in acd7106

   	macro_rules! get_statistic {
   	($column_statistics:expr, $func:ident, $bytes_func:ident, $target_arrow_type:expr) => {{
   	if !$column_statistics.has_min_max_set() {
   	return None;
   	}
   	match $column_statistics {
   	ParquetStatistics::Boolean(s) => Some(ScalarValue::Boolean(Some(*s.$func()))),
   	ParquetStatistics::Int32(s) => {
   	match $target_arrow_type {
   	// int32 to decimal with the precision and scale
   	Some(DataType::Decimal128(precision, scale)) => {
   	Some(ScalarValue::Decimal128(
   	Some(*s.$func() as i128),
   	*precision,
   	*scale,
   	))
   	}
   	Some(DataType::Int8) => {
   	Some(ScalarValue::Int8(Some((*s.$func()).try_into().unwrap())))
   	}
   	Some(DataType::Int16) => {
   	Some(ScalarValue::Int16(Some((*s.$func()).try_into().unwrap())))
   	}
   	Some(DataType::UInt8) => {
   	Some(ScalarValue::UInt8(Some((*s.$func()).try_into().unwrap())))
   	}
   	Some(DataType::UInt16) => {
   	Some(ScalarValue::UInt16(Some((*s.$func()).try_into().unwrap())))
   	}
   	Some(DataType::UInt32) => {
   	Some(ScalarValue::UInt32(Some((*s.$func()) as u32)))
   	}
   	Some(DataType::Date32) => {
   	Some(ScalarValue::Date32(Some(*s.$func())))
   	}
   	Some(DataType::Date64) => {
   	Some(ScalarValue::Date64(Some(i64::from(*s.$func()) * 24 * 60 * 60 * 1000)))
   	}
   	_ => Some(ScalarValue::Int32(Some(*s.$func()))),
   	}
   	}
   	ParquetStatistics::Int64(s) => {
   	match $target_arrow_type {
   	// int64 to decimal with the precision and scale
   	Some(DataType::Decimal128(precision, scale)) => {
   	Some(ScalarValue::Decimal128(
   	Some(*s.$func() as i128),
   	*precision,
   	*scale,
   	))
   	}
   	Some(DataType::UInt64) => {
   	Some(ScalarValue::UInt64(Some((*s.$func()) as u64)))
   	}
   	_ => Some(ScalarValue::Int64(Some(*s.$func()))),
   	}
   	}
   	// 96 bit ints not supported
   	ParquetStatistics::Int96(_) => None,
   	ParquetStatistics::Float(s) => Some(ScalarValue::Float32(Some(*s.$func()))),
   	ParquetStatistics::Double(s) => Some(ScalarValue::Float64(Some(*s.$func()))),
   	ParquetStatistics::ByteArray(s) => {
   	match $target_arrow_type {
   	// decimal data type
   	Some(DataType::Decimal128(precision, scale)) => {
   	Some(ScalarValue::Decimal128(
   	Some(from_bytes_to_i128(s.$bytes_func())),
   	*precision,
   	*scale,
   	))
   	}
   	Some(DataType::Binary) => {
   	Some(ScalarValue::Binary(Some(s.$bytes_func().to_vec())))
   	}
   	_ => {
   	let s = std::str::from_utf8(s.$bytes_func())
   	.map(|s| s.to_string())
   	.ok();
   	if s.is_none() {
   	log::debug!(
   	"Utf8 statistics is a non-UTF8 value, ignoring it."
   	);
   	}
   	Some(ScalarValue::Utf8(s))
   	}
   	}
   	}
   	// type not fully supported yet
   	ParquetStatistics::FixedLenByteArray(s) => {
   	match $target_arrow_type {
   	// just support specific logical data types, there are others each
   	// with their own ordering
   	Some(DataType::Decimal128(precision, scale)) => {
   	Some(ScalarValue::Decimal128(
   	Some(from_bytes_to_i128(s.$bytes_func())),
   	*precision,
   	*scale,
   	))
   	}
   	Some(DataType::FixedSizeBinary(size)) => {
   	let value = s.$bytes_func().to_vec();
   	let value = if value.len().try_into() == Ok(*size) {
   	Some(value)
   	} else {
   	log::debug!(
   	"FixedSizeBinary({}) statistics is a binary of size {}, ignoring it.",
   	size,
   	value.len(),
   	);
   	None
   	};
   	Some(ScalarValue::FixedSizeBinary(
   	*size,
   	value,
   	))
   	}
   	_ => None,
   	}
   	}
   	}
   	}};
   	}

   to get the correct types

Here are some example PRs:

1. Minor: Add tests for extracting dictionary parquet statistics #10729
2. Extract Date32 parquet statistics as Date32Array rather than Int32Array #10593

Describe alternatives you've considered

No response

Additional context

No response

[Weijun-H]

I am glad to work on this

[alamb]

Thanks @Weijun-H !