smallzhongfeng commented on issue #862:
URL: https://github.com/apache/arrow-ballista/issues/862#issuecomment-1669722297
```
use datafusion::arrow::datatypes::DataType;
use datafusion::datasource::file_format::parquet::DEFAULT_PARQUET_EXTENSION;
use ballista::prelude::{BallistaConfig, BallistaContext, Result};
use datafusion::prelude::{CsvReadOptions, ParquetReadOptions,
SessionContext};
#[tokio::main]
async fn main() -> Result<()> {
let config = BallistaConfig::builder()
.set("ballista.shuffle.partitions", "1")
.build()?;
let ctx = BallistaContext::standalone(&config, 2).await?;
let options = ParquetReadOptions {
file_extension: DEFAULT_PARQUET_EXTENSION,
table_partition_cols: vec![("date".to_string(), DataType::Utf8)],
parquet_pruning: Some(false),
skip_metadata: Some(true),
};
let path= format!("tmp");
let arc = ctx.read_parquet(&path, options).await?;
println!("{}", arc.schema());
arc.clone().select_columns(&["String", "date"]).unwrap();
arc.clone().show().await?;
Ok(())
}
```
This case also fail, so is it currently not supported to create a partition
table?
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