cxzl25 opened a new issue, #1743:
URL: https://github.com/apache/auron/issues/1743
**Is your feature request related to a problem? Please describe.**
Now `spark.auron.batchSize` defaults to 10000. ORC may report an error when
reading such large data.
```
`Execution error: offset overflow`
```
orc-rust src/array_decoder/string.rs:111
```rust
let offsets =
OffsetBuffer::<T::Offset>::from_lengths(lengths.into_iter().map(|l| l as
usize));
```
**Describe the solution you'd like**
Implement a Spark-like configuration
`spark.sql.orc.columnarReaderBatchSize`, which can individually control the
batch size of ORC.
**Describe alternatives you've considered**
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