korowa opened a new issue, #13821:
URL: https://github.com/apache/datafusion/issues/13821
### Describe the bug
Parquet RowGroup pruning by statistics works incorrectly for
`Dictionary(Decimal)` type.
### To Reproduce
```rs
use arrow;
use arrow::array::{ArrayRef, Decimal128Array, DictionaryArray, Int32Array,
RecordBatch};
use datafusion::error::Result;
use datafusion::prelude::*;
use parquet::arrow::ArrowWriter;
use parquet::file::properties::{EnabledStatistics, WriterProperties};
use std::fs::File;
use std::sync::Arc;
#[tokio::main]
async fn main() -> Result<()> {
// Prepare record batch
let array_values = Decimal128Array::from_iter_values(vec![10, 20, 30])
.with_precision_and_scale(4, 1)?;
let array_keys = Int32Array::from_iter_values(vec![0, 1, 2]);
let array = Arc::new(DictionaryArray::new(array_keys,
Arc::new(array_values)));
let batch = RecordBatch::try_from_iter(vec![("col", array as
ArrayRef)])?;
// Write batch to parquet
let file_path = "dictionary_decimal.parquet";
let file = File::create(file_path)?;
let properties = WriterProperties::builder()
.set_statistics_enabled(EnabledStatistics::Chunk)
.set_bloom_filter_enabled(true)
.build();
let mut writer = ArrowWriter::try_new(file, batch.schema(),
Some(properties))?;
writer.write(&batch)?;
writer.flush()?;
writer.close()?;
// Prepare context
let config = SessionConfig::default()
.with_parquet_bloom_filter_pruning(true)
.with_collect_statistics(true);
let ctx = SessionContext::new_with_config(config);
ctx.register_parquet("t", file_path, ParquetReadOptions::default())
.await?;
// In case pruning predicate not created (due to cast), there is a
record in resultset
ctx.sql("select * from t where col = 1")
.await?
.show()
.await?;
println!();
// In case of triggered RowGroup pruning -- the only RowGroup eliminated
while pruning by statistics
ctx.sql("select * from t where col = cast(1 as decimal(4, 1))")
.await?
.show()
.await?;
Ok(())
}
```
### Expected behavior
Results from both queries from the script above should match
### Additional context
The problem also happens with bloom filters (if enable them in pattern
matching expressions in `prune_by_bloom_filters`), so there is a chance that
`ArrowWriter` produces incorrect metadata (statistics / bloom filters).
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