[jira] [Created] (ARROW-5946) [Rust] [DataFusion] Projection push down with aggregate producing incorrect results

["Andy Grove (JIRA)" <ji...@apache.org>]

Andy Grove created ARROW-5946:
---------------------------------

             Summary: [Rust] [DataFusion] Projection push down with aggregate producing incorrect results
                 Key: ARROW-5946
                 URL: https://issues.apache.org/jira/browse/ARROW-5946
             Project: Apache Arrow
          Issue Type: Bug
          Components: Rust, Rust - DataFusion
    Affects Versions: 0.14.0
            Reporter: Andy Grove
            Assignee: Andy Grove
             Fix For: 1.0.0


I was testing some queries with the 0.14 release and noticed that the projected schema for a table scan is completely wrong (however the results of the query are not necessarily wrong)

 
{code:java}
// schema for nyxtaxi csv files
let schema = Schema::new(vec![
    Field::new("VendorID", DataType::Utf8, true),
    Field::new("tpep_pickup_datetime", DataType::Utf8, true),
    Field::new("tpep_dropoff_datetime", DataType::Utf8, true),
    Field::new("passenger_count", DataType::Utf8, true),
    Field::new("trip_distance", DataType::Float64, true),
    Field::new("RatecodeID", DataType::Utf8, true),
    Field::new("store_and_fwd_flag", DataType::Utf8, true),
    Field::new("PULocationID", DataType::Utf8, true),
    Field::new("DOLocationID", DataType::Utf8, true),
    Field::new("payment_type", DataType::Utf8, true),
    Field::new("fare_amount", DataType::Float64, true),
    Field::new("extra", DataType::Float64, true),
    Field::new("mta_tax", DataType::Float64, true),
    Field::new("tip_amount", DataType::Float64, true),
    Field::new("tolls_amount", DataType::Float64, true),
    Field::new("improvement_surcharge", DataType::Float64, true),
    Field::new("total_amount", DataType::Float64, true),
]);

let mut ctx = ExecutionContext::new();
ctx.register_csv("tripdata", "file.csv", &schema, true);

let optimized_plan = ctx.create_logical_plan(
    "SELECT passenger_count, MIN(fare_amount), MAX(fare_amount) \
        FROM tripdata GROUP BY passenger_count").unwrap();{code}
 



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