Add support for configuring time units through ArrowReaderBuilder::wi…

…th_schema

README.md

@@ -68,8 +68,8 @@ The following table lists how ORC data types are read into Arrow data types:
 | Binary            | Binary                      |       |
 | Decimal           | Decimal128                  |       |
 | Date              | Date32                      |       |
-| Timestamp         | Timestamp(Nanosecond, None) | Timestamps before 1677-09-21 or after 2261-04-12 return `OrcError` because they cannot be represented as an i64 of nanoseconds |
-| Timestamp instant | Timestamp(Nanosecond, UTC)  | Timestamps before 1677-09-21 or after 2261-04-12 return `OrcError` because they cannot be represented as an i64 of nanoseconds |
+| Timestamp         | Timestamp(Nanosecond, None) | `ArrowReaderBuilder::with_schema` allows configuring different time units. Overflows or loss of precision while decoding results in `OrcError` |
+| Timestamp instant | Timestamp(Nanosecond, UTC)  | `ArrowReaderBuilder::with_schema` allows configuring different time units. Overflows or loss of precision while decoding results in `OrcError` |
 | Struct            | Struct                      |       |
 | List              | List                        |       |
 | Map               | Map                         |       |

src/array_decoder/mod.rs

@@ -6,7 +6,6 @@ use arrow::datatypes::{ArrowPrimitiveType, Decimal128Type, UInt64Type};
 use arrow::datatypes::{DataType as ArrowDataType, Field};
 use arrow::datatypes::{
     Date32Type, Float32Type, Float64Type, Int16Type, Int32Type, Int64Type, Int8Type, SchemaRef,
-    TimeUnit,
 };
 use arrow::record_batch::RecordBatch;
 use snafu::{ensure, ResultExt};
@@ -456,27 +455,9 @@ pub fn array_decoder_factory(
             );
             new_decimal_decoder(column, stripe, *precision, *scale)?
         }
-        DataType::Timestamp { .. } => {
-            // TODO: add support for any precision
-            ensure!(
-                field_type == ArrowDataType::Timestamp(TimeUnit::Nanosecond, None),
-                MismatchedSchemaSnafu {
-                    orc_type: column.data_type().clone(),
-                    arrow_type: field_type
-                }
-            );
-            new_timestamp_decoder(column, stripe)?
-        }
+        DataType::Timestamp { .. } => new_timestamp_decoder(column, field_type, stripe)?,
         DataType::TimestampWithLocalTimezone { .. } => {
-            // TODO: add support for any precision and for arbitrary timezones
-            ensure!(
-                field_type == ArrowDataType::Timestamp(TimeUnit::Nanosecond, Some("UTC".into())),
-                MismatchedSchemaSnafu {
-                    orc_type: column.data_type().clone(),
-                    arrow_type: field_type
-                }
-            );
-            new_timestamp_instant_decoder(column, stripe)?
+            new_timestamp_instant_decoder(column, field_type, stripe)?
         }
 
         DataType::Date { .. } => {

src/array_decoder/timestamp.rs

@@ -1,106 +1,208 @@
 use std::sync::Arc;
 
 use crate::{
+    array_decoder::ArrowDataType,
     column::{get_present_vec, Column},
-    error::Result,
+    error::{MismatchedSchemaSnafu, Result},
     proto::stream::Kind,
     reader::decode::{get_rle_reader, timestamp::TimestampIterator},
     stripe::Stripe,
 };
-use arrow::{array::ArrayRef, datatypes::TimestampNanosecondType};
+use arrow::array::ArrayRef;
+use arrow::datatypes::{
+    ArrowTimestampType, TimeUnit, TimestampMicrosecondType, TimestampMillisecondType,
+    TimestampNanosecondType, TimestampSecondType,
+};
 use chrono::offset::TimeZone;
+use chrono_tz::Tz;
+use snafu::ensure;
 
 use super::{ArrayBatchDecoder, PrimitiveArrayDecoder};
+use crate::error::UnsupportedTypeVariantSnafu;
+
+/// Statically dispatches to the right ArrowTimestampType based on the value of $time_unit
+/// to create a $decoder_type with that type as type parameter and $iter/$present as value
+/// parameters, then applies $f to it and $tz.
+///
+/// $f has to be generic so it cannot be a closure.
+macro_rules! decoder_for_time_unit {
+    ($column: expr, $time_unit:expr, $seconds_since_unix_epoch:expr, $stripe:expr, $tz:expr, $f:expr,) => {{
+        let column = $column;
+        let stripe = $stripe;
+        let data = stripe.stream_map().get(column, Kind::Data);
+        let data = get_rle_reader(column, data)?;
+
+        let secondary = stripe.stream_map().get(column, Kind::Secondary);
+        let secondary = get_rle_reader(column, secondary)?;
+
+        let present = get_present_vec(column, stripe)?
+            .map(|iter| Box::new(iter.into_iter()) as Box<dyn Iterator<Item = bool> + Send>);
+
+        match $time_unit {
+            TimeUnit::Second => {
+                let iter = Box::new(TimestampIterator::<TimestampSecondType>::new(
+                    $seconds_since_unix_epoch,
+                    data,
+                    secondary,
+                ));
+                Ok(Box::new(($f)(
+                    PrimitiveArrayDecoder::<TimestampSecondType>::new(iter, present),
+                    $tz,
+                )))
+            }
+            TimeUnit::Millisecond => {
+                let iter = Box::new(TimestampIterator::<TimestampMillisecondType>::new(
+                    $seconds_since_unix_epoch,
+                    data,
+                    secondary,
+                ));
+                Ok(Box::new(($f)(
+                    PrimitiveArrayDecoder::<TimestampMillisecondType>::new(iter, present),
+                    $tz,
+                )))
+            }
+            TimeUnit::Microsecond => {
+                let iter = Box::new(TimestampIterator::<TimestampMicrosecondType>::new(
+                    $seconds_since_unix_epoch,
+                    data,
+                    secondary,
+                ));
+                Ok(Box::new(($f)(
+                    PrimitiveArrayDecoder::<TimestampMicrosecondType>::new(iter, present),
+                    $tz,
+                )))
+            }
+            TimeUnit::Nanosecond => {
+                let iter = Box::new(TimestampIterator::<TimestampNanosecondType>::new(
+                    $seconds_since_unix_epoch,
+                    data,
+                    secondary,
+                ));
+                Ok(Box::new(($f)(
+                    PrimitiveArrayDecoder::<TimestampNanosecondType>::new(iter, present),
+                    $tz,
+                )))
+            }
+        }
+    }};
+}
 
 /// Seconds from ORC epoch of 1 January 2015, which serves as the 0
 /// point for all timestamp values, to the UNIX epoch of 1 January 1970.
 const ORC_EPOCH_UTC_SECONDS_SINCE_UNIX_EPOCH: i64 = 1_420_070_400;
 
-/// Decodes a TIMESTAMP column stripe into batches of TimestampNanosecondArrays with no
-/// timezone. Will convert timestamps from writer timezone to UTC if a writer timezone
+/// Decodes a TIMESTAMP column stripe into batches of Timestamp{Nano,Micro,Milli,}secondArrays
+/// with no timezone. Will convert timestamps from writer timezone to UTC if a writer timezone
 /// is specified for the stripe.
 pub fn new_timestamp_decoder(
     column: &Column,
+    field_type: ArrowDataType,
     stripe: &Stripe,
 ) -> Result<Box<dyn ArrayBatchDecoder>> {
-    let data = stripe.stream_map().get(column, Kind::Data);
-    let data = get_rle_reader(column, data)?;
-
-    let secondary = stripe.stream_map().get(column, Kind::Secondary);
-    let secondary = get_rle_reader(column, secondary)?;
-
-    let present = get_present_vec(column, stripe)?
-        .map(|iter| Box::new(iter.into_iter()) as Box<dyn Iterator<Item = bool> + Send>);
+    let ArrowDataType::Timestamp(time_unit, None) = field_type else {
+        MismatchedSchemaSnafu {
+            orc_type: column.data_type().clone(),
+            arrow_type: field_type,
+        }
+        .fail()?
+    };
 
     match stripe.writer_tz() {
-        Some(tz) => {
+        Some(writer_tz) => {
             // If writer timezone exists then we must take the ORC epoch according
             // to that timezone, and find seconds since UTC UNIX epoch for the base.
-            let seconds_since_unix_epoch = tz
+            let seconds_since_unix_epoch = writer_tz
                 .with_ymd_and_hms(2015, 1, 1, 0, 0, 0)
                 .unwrap()
                 .timestamp();
-            let iter = Box::new(TimestampIterator::new(
+
+            fn f<T: ArrowTimestampType>(
+                decoder: PrimitiveArrayDecoder<T>,
+                writer_tz: Tz,
+            ) -> TimestampOffsetArrayDecoder<T> {
+                TimestampOffsetArrayDecoder {
+                    inner: decoder,
+                    writer_tz,
+                }
+            }
+            decoder_for_time_unit!(
+                column,
+                time_unit,
                 seconds_since_unix_epoch,
-                data,
-                secondary,
-            ));
-            let decoder = RawTimestampArrayDecoder::new(iter, present);
-            Ok(Box::new(TimestampOffsetArrayDecoder {
-                inner: decoder,
-                writer_tz: tz,
-            }))
+                stripe,
+                writer_tz,
+                f,
+            )
         }
         None => {
-            // No writer timezone, we can assume UTC, so we casn use known fixed value
-            // for the base offset.
-            let iter = Box::new(TimestampIterator::new(
+            fn f<T: ArrowTimestampType>(
+                decoder: PrimitiveArrayDecoder<T>,
+                _writer_tz: (),
+            ) -> PrimitiveArrayDecoder<T> {
+                decoder
+            }
+
+            decoder_for_time_unit!(
+                column,
+                time_unit,
+                // No writer timezone, we can assume UTC, so we can use known fixed value
+                // for the base offset.
                 ORC_EPOCH_UTC_SECONDS_SINCE_UNIX_EPOCH,
-                data,
-                secondary,
-            ));
-            let decoder = RawTimestampArrayDecoder::new(iter, present);
-            Ok(Box::new(decoder))
+                stripe,
+                (),
+                f,
+            )
         }
     }
 }
 
-/// Decodes a TIMESTAMP_INSTANT column stripe into batches of TimestampNanosecondArrays with
-/// UTC timezone.
+/// Decodes a TIMESTAMP_INSTANT column stripe into batches of
+/// Timestamp{Nano,Micro,Milli,}secondArrays with UTC timezone.
 pub fn new_timestamp_instant_decoder(
     column: &Column,
+    field_type: ArrowDataType,
     stripe: &Stripe,
 ) -> Result<Box<dyn ArrayBatchDecoder>> {
-    let data = stripe.stream_map().get(column, Kind::Data);
-    let data = get_rle_reader(column, data)?;
-
-    let secondary = stripe.stream_map().get(column, Kind::Secondary);
-    let secondary = get_rle_reader(column, secondary)?;
+    let ArrowDataType::Timestamp(time_unit, Some(tz)) = field_type else {
+        MismatchedSchemaSnafu {
+            orc_type: column.data_type().clone(),
+            arrow_type: field_type,
+        }
+        .fail()?
+    };
+    ensure!(
+        tz.as_ref() == "UTC",
+        UnsupportedTypeVariantSnafu {
+            msg: "Non-UTC Arrow timestamps"
+        }
+    );
 
-    let present = get_present_vec(column, stripe)?
-        .map(|iter| Box::new(iter.into_iter()) as Box<dyn Iterator<Item = bool> + Send>);
+    fn f<T: ArrowTimestampType>(
+        decoder: PrimitiveArrayDecoder<T>,
+        _writer_tz: (),
+    ) -> TimestampInstantArrayDecoder<T> {
+        TimestampInstantArrayDecoder(decoder)
+    }
 
-    // TIMESTAMP_INSTANT is encoded as UTC so we don't check writer timezone in stripe
-    let iter = Box::new(TimestampIterator::new(
+    decoder_for_time_unit!(
+        column,
+        time_unit,
+        // TIMESTAMP_INSTANT is encoded as UTC so we don't check writer timezone in stripe
         ORC_EPOCH_UTC_SECONDS_SINCE_UNIX_EPOCH,
-        data,
-        secondary,
-    ));
-
-    let decoder = RawTimestampArrayDecoder::new(iter, present);
-    Ok(Box::new(TimestampInstantArrayDecoder(decoder)))
+        stripe,
+        (),
+        f,
+    )
 }
 
-type RawTimestampArrayDecoder = PrimitiveArrayDecoder<TimestampNanosecondType>;
-
-/// Wrapper around RawTimestampArrayDecoder to decode timestamps which are encoded in
+/// Wrapper around PrimitiveArrayDecoder to decode timestamps which are encoded in
 /// timezone of the writer to their UTC value.
-struct TimestampOffsetArrayDecoder {
-    inner: RawTimestampArrayDecoder,
+struct TimestampOffsetArrayDecoder<T: ArrowTimestampType> {
+    inner: PrimitiveArrayDecoder<T>,
     writer_tz: chrono_tz::Tz,
 }
 
-impl ArrayBatchDecoder for TimestampOffsetArrayDecoder {
+impl<T: ArrowTimestampType> ArrayBatchDecoder for TimestampOffsetArrayDecoder<T> {
     fn next_batch(
         &mut self,
         batch_size: usize,
@@ -121,21 +223,21 @@ impl ArrayBatchDecoder for TimestampOffsetArrayDecoder {
         };
         let array = array
             // first try to convert all non-nullable batches to non-nullable batches
-            .try_unary::<_, TimestampNanosecondType, _>(|ts| convert_timezone(ts).ok_or(()))
-            // in the rare case one of the values was out of the 1677-2262 range (see
+            .try_unary::<_, T, _>(|ts| convert_timezone(ts).ok_or(()))
+            // in the rare case one of the values was out of the timeunit's range (eg. see
             // <https://docs.rs/chrono/latest/chrono/struct.DateTime.html#method.timestamp_nanos_opt>),
-            // try again by allowing a nullable batch as output
-            .unwrap_or_else(|()| array.unary_opt::<_, TimestampNanosecondType>(convert_timezone));
+            // for nanoseconds), try again by allowing a nullable batch as output
+            .unwrap_or_else(|()| array.unary_opt::<_, T>(convert_timezone));
         let array = Arc::new(array) as ArrayRef;
         Ok(array)
     }
 }
 
-/// Wrapper around RawTimestampArrayDecoder to allow specifying the timezone of the output
+/// Wrapper around PrimitiveArrayDecoder to allow specifying the timezone of the output
 /// timestamp array as UTC.
-struct TimestampInstantArrayDecoder(RawTimestampArrayDecoder);
+struct TimestampInstantArrayDecoder<T: ArrowTimestampType>(PrimitiveArrayDecoder<T>);
 
-impl ArrayBatchDecoder for TimestampInstantArrayDecoder {
+impl<T: ArrowTimestampType> ArrayBatchDecoder for TimestampInstantArrayDecoder<T> {
     fn next_batch(
         &mut self,
         batch_size: usize,

src/arrow_reader.rs

@@ -20,6 +20,7 @@ pub struct ArrowReaderBuilder<R> {
     pub(crate) file_metadata: Arc<FileMetadata>,
     pub(crate) batch_size: usize,
     pub(crate) projection: ProjectionMask,
+    pub(crate) schema_ref: Option<SchemaRef>,
 }
 
 impl<R> ArrowReaderBuilder<R> {
@@ -29,6 +30,7 @@ impl<R> ArrowReaderBuilder<R> {
             file_metadata,
             batch_size: DEFAULT_BATCH_SIZE,
             projection: ProjectionMask::all(),
+            schema_ref: None,
         }
     }
 
@@ -45,6 +47,11 @@ impl<R> ArrowReaderBuilder<R> {
         self.projection = projection;
         self
     }
+
+    pub fn with_schema(mut self, schema: SchemaRef) -> Self {
+        self.schema_ref = Some(schema);
+        self
+    }
 }
 
 impl<R: ChunkReader> ArrowReaderBuilder<R> {
@@ -64,7 +71,9 @@ impl<R: ChunkReader> ArrowReaderBuilder<R> {
             projected_data_type,
             stripe_index: 0,
         };
-        let schema_ref = Arc::new(create_arrow_schema(&cursor));
+        let schema_ref = self
+            .schema_ref
+            .unwrap_or_else(|| Arc::new(create_arrow_schema(&cursor)));
         ArrowReader {
             cursor,
             schema_ref,