Add ParquetRecordBatchReaderBuilder (#2427)

parquet/src/arrow/array_reader/mod.rs

@@ -124,6 +124,49 @@ impl RowGroupCollection for Arc<dyn FileReader> {
     }
 }
 
+pub(crate) struct FileReaderRowGroupCollection {
+    reader: Arc<dyn FileReader>,
+    row_groups: Option<Vec<usize>>,
+}
+
+impl FileReaderRowGroupCollection {
+    pub fn new(reader: Arc<dyn FileReader>, row_groups: Option<Vec<usize>>) -> Self {
+        Self { reader, row_groups }
+    }
+}
+
+impl RowGroupCollection for FileReaderRowGroupCollection {
+    fn schema(&self) -> SchemaDescPtr {
+        self.reader.metadata().file_metadata().schema_descr_ptr()
+    }
+
+    fn num_rows(&self) -> usize {
+        match &self.row_groups {
+            None => self.reader.metadata().file_metadata().num_rows() as usize,
+            Some(row_groups) => {
+                let meta = self.reader.metadata().row_groups();
+                row_groups
+                    .iter()
+                    .map(|x| meta[*x].num_rows() as usize)
+                    .sum()
+            }
+        }
+    }
+
+    fn column_chunks(&self, i: usize) -> Result<Box<dyn PageIterator>> {
+        let iterator = match &self.row_groups {
+            Some(row_groups) => FilePageIterator::with_row_groups(
+                i,
+                Box::new(row_groups.clone().into_iter()),
+                Arc::clone(&self.reader),
+            )?,
+            None => FilePageIterator::new(i, Arc::clone(&self.reader))?,
+        };
+
+        Ok(Box::new(iterator))
+    }
+}
+
 /// Uses `record_reader` to read up to `batch_size` records from `pages`
 ///
 /// Returns the number of records read, which can be less than `batch_size` if
@@ -167,9 +210,9 @@ fn skip_records<V, CV>(
     pages: &mut dyn PageIterator,
     batch_size: usize,
 ) -> Result<usize>
-    where
-        V: ValuesBuffer + Default,
-        CV: ColumnValueDecoder<Slice = V::Slice>,
+where
+    V: ValuesBuffer + Default,
+    CV: ColumnValueDecoder<Slice = V::Slice>,
 {
     let mut records_skipped = 0usize;
     while records_skipped < batch_size {