jorgecarleitao commented on a change in pull request #9355:
URL: https://github.com/apache/arrow/pull/9355#discussion_r566558997
##########
File path: rust/datafusion/tests/sql.rs
##########
@@ -1398,6 +1401,21 @@ fn register_aggregate_simple_csv(ctx: &mut
ExecutionContext) -> Result<()> {
Ok(())
}
+fn register_aggregate_date_csv(ctx: &mut ExecutionContext) -> Result<()> {
+ // It's not possible to use aggregate_test_100, not enought similar values
to test grouping on floats
+ let schema = Arc::new(Schema::new(vec![
+ Field::new("date", DataType::Date32(DateUnit::Day), false),
+ Field::new("cnt", DataType::Int32, false),
+ ]));
+
+ ctx.register_csv(
+ "dates",
+ "tests/dates.csv",
+ CsvReadOptions::new().schema(&schema),
+ )?;
+ Ok(())
+}
Review comment:
What do you think about placing the data in `MemTable` instead, like
this:
```
let data = RecordBatch::try_new(
schema.clone(),
vec![Arc::new(StringArray::from(vec![
Some("a"),
Some("b"),
Some("c"),
None,
]))],
)?;
let table = MemTable::try_new(schema, vec![vec![data]])?;
ctx.register_table("dates", Box::new(table));
```
I find it way easier to understand the final result, in this where the
numbers "6" and "9" come from.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
