alamb commented on code in PR #8254:
URL: https://github.com/apache/arrow-datafusion/pull/8254#discussion_r1397564940
##########
datafusion/core/src/datasource/file_format/parquet.rs:
##########
@@ -256,167 +253,52 @@ impl FileFormat for ParquetFormat {
}
}
-fn summarize_min_max(
- max_values: &mut [Option<MaxAccumulator>],
- min_values: &mut [Option<MinAccumulator>],
- fields: &Fields,
- i: usize,
+/// Convert the statistics for a RowGroup ([`ParquetStatistics`]) to a
+/// [`ColumnStatistics`].
+fn column_chunk_statisics_to_column_statistics(
stat: &ParquetStatistics,
-) {
- match stat {
- ParquetStatistics::Boolean(s) => {
- if let DataType::Boolean = fields[i].data_type() {
- if s.has_min_max_set() {
- if let Some(max_value) = &mut max_values[i] {
- match
max_value.update_batch(&[Arc::new(BooleanArray::from(
- vec![Some(*s.max())],
- ))]) {
- Ok(_) => {}
- Err(_) => {
- max_values[i] = None;
- }
- }
- }
- if let Some(min_value) = &mut min_values[i] {
- match
min_value.update_batch(&[Arc::new(BooleanArray::from(
- vec![Some(*s.min())],
- ))]) {
- Ok(_) => {}
- Err(_) => {
- min_values[i] = None;
- }
- }
- }
- return;
- }
- }
- max_values[i] = None;
- min_values[i] = None;
- }
- ParquetStatistics::Int32(s) => {
- if let DataType::Int32 = fields[i].data_type() {
- if s.has_min_max_set() {
- if let Some(max_value) = &mut max_values[i] {
- match
max_value.update_batch(&[Arc::new(Int32Array::from_value(
- *s.max(),
- 1,
- ))]) {
- Ok(_) => {}
- Err(_) => {
- max_values[i] = None;
- }
- }
- }
- if let Some(min_value) = &mut min_values[i] {
- match
min_value.update_batch(&[Arc::new(Int32Array::from_value(
- *s.min(),
- 1,
- ))]) {
- Ok(_) => {}
- Err(_) => {
- min_values[i] = None;
- }
- }
- }
- return;
- }
- }
- max_values[i] = None;
- min_values[i] = None;
- }
- ParquetStatistics::Int64(s) => {
- if let DataType::Int64 = fields[i].data_type() {
- if s.has_min_max_set() {
- if let Some(max_value) = &mut max_values[i] {
- match
max_value.update_batch(&[Arc::new(Int64Array::from_value(
- *s.max(),
- 1,
- ))]) {
- Ok(_) => {}
- Err(_) => {
- max_values[i] = None;
- }
- }
- }
- if let Some(min_value) = &mut min_values[i] {
- match
min_value.update_batch(&[Arc::new(Int64Array::from_value(
- *s.min(),
- 1,
- ))]) {
- Ok(_) => {}
- Err(_) => {
- min_values[i] = None;
- }
- }
- }
- return;
- }
- }
- max_values[i] = None;
- min_values[i] = None;
- }
- ParquetStatistics::Float(s) => {
- if let DataType::Float32 = fields[i].data_type() {
- if s.has_min_max_set() {
- if let Some(max_value) = &mut max_values[i] {
- match
max_value.update_batch(&[Arc::new(Float32Array::from(
- vec![Some(*s.max())],
- ))]) {
- Ok(_) => {}
- Err(_) => {
- max_values[i] = None;
- }
- }
- }
- if let Some(min_value) = &mut min_values[i] {
- match
min_value.update_batch(&[Arc::new(Float32Array::from(
- vec![Some(*s.min())],
- ))]) {
- Ok(_) => {}
- Err(_) => {
- min_values[i] = None;
- }
- }
- }
- return;
- }
- }
- max_values[i] = None;
- min_values[i] = None;
- }
- ParquetStatistics::Double(s) => {
- if let DataType::Float64 = fields[i].data_type() {
- if s.has_min_max_set() {
- if let Some(max_value) = &mut max_values[i] {
- match
max_value.update_batch(&[Arc::new(Float64Array::from(
- vec![Some(*s.max())],
- ))]) {
- Ok(_) => {}
- Err(_) => {
- max_values[i] = None;
- }
- }
- }
- if let Some(min_value) = &mut min_values[i] {
- match
min_value.update_batch(&[Arc::new(Float64Array::from(
- vec![Some(*s.min())],
- ))]) {
- Ok(_) => {}
- Err(_) => {
- min_values[i] = None;
- }
- }
- }
- return;
- }
- }
- max_values[i] = None;
- min_values[i] = None;
- }
- _ => {
- max_values[i] = None;
- min_values[i] = None;
+) -> ColumnStatistics {
+ let (min_value, max_value) = if stat.has_min_max_set() {
+ match stat {
+ ParquetStatistics::Boolean(s) => (
+ Some(ScalarValue::Boolean(Some(*s.min()))),
+ Some(ScalarValue::Boolean(Some(*s.max()))),
+ ),
+ ParquetStatistics::Int32(s) => (
+ Some(ScalarValue::Int32(Some(*s.min()))),
+ Some(ScalarValue::Int32(Some(*s.max()))),
+ ),
+ ParquetStatistics::Int64(s) => (
+ Some(ScalarValue::Int64(Some(*s.min()))),
+ Some(ScalarValue::Int64(Some(*s.max()))),
+ ),
+ ParquetStatistics::Float(s) => (
+ Some(ScalarValue::Float32(Some(*s.min()))),
+ Some(ScalarValue::Float32(Some(*s.max()))),
+ ),
+ ParquetStatistics::Double(s) => (
+ Some(ScalarValue::Float64(Some(*s.min()))),
+ Some(ScalarValue::Float64(Some(*s.max()))),
+ ),
+ // TODO: file ticket to support fetching byte array (aka string)
metadata
+ ParquetStatistics::ByteArray(_) => (None, None),
Review Comment:
I think this new structure also makes it clear DataFusion currently ignores
statistics for parquet string columns
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