yjshen commented on a change in pull request #2000:
URL: https://github.com/apache/arrow-datafusion/pull/2000#discussion_r827672701
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File path: datafusion/src/physical_plan/file_format/parquet.rs
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@@ -236,32 +237,56 @@ impl ExecutionPlan for ParquetExec {
let adapter = SchemaAdapter::new(self.base_config.file_schema.clone());
- let join_handle = task::spawn_blocking(move || {
- if let Err(e) = read_partition(
- object_store.as_ref(),
- adapter,
- partition_index,
- &partition,
- metrics,
- &projection,
- &pruning_predicate,
- batch_size,
- response_tx.clone(),
- limit,
- partition_col_proj,
- ) {
- println!(
+ let join_handle = if projection.is_empty() {
+ task::spawn_blocking(move || {
+ if let Err(e) = read_partition_no_file_columns(
+ object_store.as_ref(),
+ &partition,
+ batch_size,
+ response_tx.clone(),
Review comment:
Let us pass down `pruning_predicate` and `metrics`, do row group level
filtering in `read_partition_no_file_columns` since it's possible to eliminate
the whole parquet file together with its partition column value when all its
row groups fail the filter. At the same time, `limit` would also be affected.
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