1use std::result::Result as StdResult;
16use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering};
17
18use bytes::Bytes;
19use futures::FutureExt;
20use futures::future::BoxFuture;
21use object_store::ObjectStore;
22use parquet::arrow::async_reader::MetadataFetch;
23use parquet::errors::{ParquetError, Result as ParquetResult};
24use parquet::file::metadata::{PageIndexPolicy, ParquetMetaData, ParquetMetaDataReader};
25use parquet::file::statistics::Statistics;
26use snafu::{IntoError as _, ResultExt};
27use store_api::metadata::RegionMetadata;
28use store_api::storage::consts::PRIMARY_KEY_COLUMN_NAME;
29
30use crate::error::{self, Result};
31use crate::sst::parquet::reader::MetadataCacheMetrics;
32
33const DEFAULT_PREFETCH_SIZE: u64 = 64 * 1024;
35
36pub struct MetadataLoader<'a> {
37 object_store: ObjectStore,
39 file_path: &'a str,
41 file_size: u64,
43 page_index_policy: PageIndexPolicy,
44}
45
46impl<'a> MetadataLoader<'a> {
47 pub fn new(
49 object_store: ObjectStore,
50 file_path: &'a str,
51 file_size: u64,
52 ) -> MetadataLoader<'a> {
53 Self {
54 object_store,
55 file_path,
56 file_size,
57 page_index_policy: Default::default(),
58 }
59 }
60
61 pub(crate) fn with_page_index_policy(&mut self, page_index_policy: PageIndexPolicy) {
62 self.page_index_policy = page_index_policy;
63 }
64
65 async fn get_file_size(&self) -> Result<u64> {
67 let file_size = match self.file_size {
68 0 => self
69 .object_store
70 .stat(self.file_path)
71 .await
72 .context(error::OpenDalSnafu)?
73 .content_length(),
74 other => other,
75 };
76 Ok(file_size)
77 }
78
79 pub async fn load(&self, cache_metrics: &mut MetadataCacheMetrics) -> Result<ParquetMetaData> {
80 let path = self.file_path;
81 let file_size = self.get_file_size().await?;
82 let reader = ParquetMetaDataReader::new()
83 .with_prefetch_hint(Some(DEFAULT_PREFETCH_SIZE as usize))
84 .with_column_index_policy(PageIndexPolicy::Skip)
87 .with_offset_index_policy(self.page_index_policy);
88
89 let num_reads = AtomicUsize::new(0);
90 let bytes_read = AtomicU64::new(0);
91 let fetch = ObjectStoreFetch {
92 object_store: &self.object_store,
93 file_path: self.file_path,
94 num_reads: &num_reads,
95 bytes_read: &bytes_read,
96 };
97
98 let metadata = reader
99 .load_and_finish(fetch, file_size)
100 .await
101 .map_err(|e| match unbox_external_error(e) {
102 Ok(os_err) => error::OpenDalSnafu {}.into_error(os_err),
103 Err(parquet_err) => error::ReadParquetSnafu { path }.into_error(parquet_err),
104 })?;
105
106 cache_metrics.num_reads = num_reads.into_inner();
107 cache_metrics.bytes_read = bytes_read.into_inner();
108
109 Ok(metadata)
110 }
111}
112
113fn unbox_external_error(e: ParquetError) -> StdResult<object_store::Error, ParquetError> {
115 match e {
116 ParquetError::External(boxed_err) => match boxed_err.downcast::<object_store::Error>() {
117 Ok(os_err) => Ok(*os_err),
118 Err(parquet_error) => Err(ParquetError::External(parquet_error)),
119 },
120 other => Err(other),
121 }
122}
123
124pub(crate) fn extract_primary_key_range(
125 parquet_meta: &ParquetMetaData,
126 region_metadata: &RegionMetadata,
127) -> Option<(Bytes, Bytes)> {
128 if region_metadata.primary_key.is_empty() {
129 return None;
130 }
131
132 let pk_column_idx = parquet_meta
133 .file_metadata()
134 .schema_descr()
135 .columns()
136 .iter()
137 .position(|column| column.name() == PRIMARY_KEY_COLUMN_NAME)?;
138
139 let mut min: Option<Bytes> = None;
140 let mut max: Option<Bytes> = None;
141
142 for row_group in parquet_meta.row_groups() {
143 let Statistics::ByteArray(stats) = row_group.column(pk_column_idx).statistics()? else {
144 return None;
145 };
146
147 let row_group_min = Bytes::copy_from_slice(stats.min_bytes_opt()?);
148 let row_group_max = Bytes::copy_from_slice(stats.max_bytes_opt()?);
149 min = Some(match min {
150 Some(current) => current.min(row_group_min),
151 None => row_group_min,
152 });
153 max = Some(match max {
154 Some(current) => current.max(row_group_max),
155 None => row_group_max,
156 });
157 }
158
159 min.zip(max)
160}
161
162struct ObjectStoreFetch<'a> {
163 object_store: &'a ObjectStore,
164 file_path: &'a str,
165 num_reads: &'a AtomicUsize,
166 bytes_read: &'a AtomicU64,
167}
168
169impl MetadataFetch for ObjectStoreFetch<'_> {
170 fn fetch(&mut self, range: std::ops::Range<u64>) -> BoxFuture<'_, ParquetResult<Bytes>> {
171 let bytes_to_read = range.end - range.start;
172 async move {
173 let data = self
174 .object_store
175 .read_with(self.file_path)
176 .range(range)
177 .await
178 .map_err(|e| ParquetError::External(Box::new(e)))?;
179 self.num_reads.fetch_add(1, Ordering::Relaxed);
180 self.bytes_read.fetch_add(bytes_to_read, Ordering::Relaxed);
181 Ok(data.to_bytes())
182 }
183 .boxed()
184 }
185}
186
187#[cfg(test)]
188mod tests {
189 use std::sync::Arc;
190
191 use datatypes::arrow::array::{
192 ArrayRef, BinaryArray, DictionaryArray, Int64Array, UInt32Array,
193 };
194 use datatypes::arrow::datatypes::{DataType as ArrowDataType, Field, Schema};
195 use datatypes::arrow::record_batch::RecordBatch;
196 use object_store::services::Memory;
197 use parquet::arrow::ArrowWriter;
198 use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder;
199 use parquet::file::metadata::{KeyValue, ParquetMetaData};
200 use parquet::file::properties::{EnabledStatistics, WriterProperties};
201
202 use super::*;
203 use crate::sst::parquet::PARQUET_METADATA_KEY;
204 use crate::test_util::sst_util::sst_region_metadata;
205
206 fn build_test_parquet_bytes(
207 include_primary_key: bool,
208 primary_keys: &[&[u8]],
209 row_group_sizes: &[usize],
210 stats_enabled: EnabledStatistics,
211 ) -> Vec<u8> {
212 let total_rows = row_group_sizes.iter().sum::<usize>();
213 let mut fields = vec![Field::new("field", ArrowDataType::Int64, true)];
214 let mut columns: Vec<ArrayRef> =
215 vec![Arc::new(Int64Array::from_iter_values(0..total_rows as i64))];
216 if include_primary_key {
217 assert_eq!(total_rows, primary_keys.len());
218 fields.push(Field::new(
219 "__primary_key",
220 ArrowDataType::Dictionary(
221 Box::new(ArrowDataType::UInt32),
222 Box::new(ArrowDataType::Binary),
223 ),
224 false,
225 ));
226 let values = Arc::new(BinaryArray::from_iter_values(primary_keys.iter().copied()));
227 let keys = UInt32Array::from_iter_values(0..primary_keys.len() as u32);
228 columns.push(Arc::new(DictionaryArray::new(keys, values)));
229 }
230
231 let schema = Arc::new(Schema::new(fields));
232 let region_metadata = Arc::new(sst_region_metadata());
233 let key_value = KeyValue::new(
234 PARQUET_METADATA_KEY.to_string(),
235 region_metadata.to_json().unwrap(),
236 );
237 let props = WriterProperties::builder()
238 .set_key_value_metadata(Some(vec![key_value]))
239 .set_statistics_enabled(stats_enabled)
240 .build();
241
242 let mut parquet_bytes = Vec::new();
243 let mut writer =
244 ArrowWriter::try_new(&mut parquet_bytes, schema.clone(), Some(props)).unwrap();
245 let mut offset = 0;
246 for row_group_size in row_group_sizes {
247 let batch = RecordBatch::try_new(
248 schema.clone(),
249 columns
250 .iter()
251 .map(|column| column.slice(offset, *row_group_size))
252 .collect(),
253 )
254 .unwrap();
255 writer.write(&batch).unwrap();
256 offset += row_group_size;
257 }
258 writer.close().unwrap();
259
260 parquet_bytes
261 }
262
263 fn build_test_metadata(
264 include_primary_key: bool,
265 primary_keys: &[&[u8]],
266 row_group_sizes: &[usize],
267 stats_enabled: EnabledStatistics,
268 ) -> ParquetMetaData {
269 ParquetRecordBatchReaderBuilder::try_new(Bytes::from(build_test_parquet_bytes(
270 include_primary_key,
271 primary_keys,
272 row_group_sizes,
273 stats_enabled,
274 )))
275 .unwrap()
276 .metadata()
277 .as_ref()
278 .clone()
279 }
280
281 #[tokio::test]
282 async fn test_metadata_loader_only_loads_offset_indexes() {
283 let parquet_bytes = build_test_parquet_bytes(false, &[], &[4], EnabledStatistics::Page);
284 let file_size = parquet_bytes.len() as u64;
285 let file_path = "test.parquet";
286 let object_store = ObjectStore::new(Memory::default()).unwrap().finish();
287 object_store.write(file_path, parquet_bytes).await.unwrap();
288
289 let mut loader = MetadataLoader::new(object_store, file_path, file_size);
290 loader.with_page_index_policy(PageIndexPolicy::Required);
291 let metadata = loader
292 .load(&mut MetadataCacheMetrics::default())
293 .await
294 .unwrap();
295
296 assert!(metadata.column_index().is_none());
297 assert!(metadata.offset_index().is_some());
298 }
299
300 #[test]
301 fn test_extract_primary_key_range_returns_none_when_column_absent() {
302 let metadata = build_test_metadata(false, &[], &[1], EnabledStatistics::Page);
303 let region_metadata = sst_region_metadata();
304
305 assert_eq!(None, extract_primary_key_range(&metadata, ®ion_metadata));
306 }
307
308 #[test]
309 fn test_extract_primary_key_range_folds_row_group_stats() {
310 let metadata = build_test_metadata(
311 true,
312 &[b"bbb", b"ccc", b"aaa", b"zzz"],
313 &[2, 2],
314 EnabledStatistics::Page,
315 );
316 let region_metadata = sst_region_metadata();
317
318 assert_eq!(
319 Some((Bytes::from_static(b"aaa"), Bytes::from_static(b"zzz"))),
320 extract_primary_key_range(&metadata, ®ion_metadata)
321 );
322 }
323
324 #[test]
325 fn test_extract_primary_key_range_returns_none_when_any_rg_stats_missing() {
326 let metadata = build_test_metadata(
327 true,
328 &[b"bbb", b"ccc", b"aaa", b"zzz"],
329 &[2, 2],
330 EnabledStatistics::None,
331 );
332 let region_metadata = sst_region_metadata();
333
334 assert_eq!(None, extract_primary_key_range(&metadata, ®ion_metadata));
335 }
336}