@@ -65,8 +65,6 @@ pub struct RollingWindowAggregate {
6565
6666impl PartialOrd for RollingWindowAggregate {
6767 fn partial_cmp ( & self , other : & Self ) -> Option < Ordering > {
68- // TODO upgrade DF: Figure out what dyn_ord is used for.
69-
7068 macro_rules! exit_early {
7169 ( $x: expr ) => { {
7270 let res = $x;
@@ -109,6 +107,7 @@ impl PartialOrd for RollingWindowAggregate {
109107 exit_early ! ( lower_bound. partial_cmp( & other. lower_bound) ?) ;
110108 exit_early ! ( upper_bound. partial_cmp( & other. upper_bound) ?) ;
111109 exit_early ! ( upper_bound. partial_cmp( & other. upper_bound) ?) ;
110+ exit_early ! ( offset_to_end. cmp( & other. offset_to_end) ) ;
112111
113112 if schema. eq ( & other. schema ) {
114113 Some ( Ordering :: Equal )
@@ -157,6 +156,8 @@ impl RollingWindowAggregate {
157156 rolling_aggs_alias : & Vec < String > ,
158157 from : & Expr ,
159158 ) -> Result < DFSchemaRef , CubeError > {
159+ // TODO upgrade DF: Remove unused variable `dimension`
160+ let _ = dimension;
160161 let fields = exprlist_to_fields (
161162 vec ! [ from. clone( ) ]
162163 . into_iter ( )
@@ -521,8 +522,8 @@ impl ExtensionPlanner for RollingWindowPlanner {
521522 . map ( |e| -> Result < _ , DataFusionError > {
522523 match e {
523524 Expr :: AggregateFunction ( AggregateFunction {
524- func,
525- params : AggregateFunctionParams { args, .. } ,
525+ func : _ ,
526+ params : AggregateFunctionParams { args : _ , .. } ,
526527 } ) => {
527528 let ( agg, _, _) = create_aggregate_expr_and_maybe_filter (
528529 e,
@@ -632,7 +633,7 @@ pub struct RollingWindowAggExec {
632633}
633634
634635impl DisplayAs for RollingWindowAggExec {
635- fn fmt_as ( & self , t : DisplayFormatType , f : & mut Formatter ) -> std:: fmt:: Result {
636+ fn fmt_as ( & self , _t : DisplayFormatType , f : & mut Formatter ) -> std:: fmt:: Result {
636637 write ! ( f, "RollingWindowAggExec" )
637638 }
638639}
@@ -786,7 +787,7 @@ impl ExecutionPlan for RollingWindowAggExec {
786787 . iter ( )
787788 . map ( |a| ScalarValue :: try_from ( a. field ( ) . data_type ( ) ) )
788789 . collect :: < Result < Vec < _ > , _ > > ( ) ?;
789- let mut out_extra_aggs = plan . aggs . iter ( ) . map ( |a| Vec :: new ( ) ) . collect :: < Vec < _ > > ( ) ;
790+ let mut out_extra_aggs = vec ! [ Vec :: < ScalarValue > :: new( ) ; plan . aggs . len ( ) ] ;
790791 // let other_cols_data = other_cols.iter().map(|c| c.to_data()).collect::<Vec<_>>();
791792 // let mut out_other = other_cols_data
792793 // .iter()
@@ -1019,7 +1020,7 @@ impl ExecutionPlan for RollingWindowAggExec {
10191020 for i in 0 ..accumulators. len ( ) {
10201021 // let null = accumulators[i].evaluate()?;
10211022
1022- for j in 0 ..num_empty_dims {
1023+ for _j in 0 ..num_empty_dims {
10231024 let inputs = agg_inputs[ i] . iter ( ) . map ( |a| a. slice ( 0 , 0 ) ) . collect_vec ( ) ;
10241025 accumulators[ i] . update_batch ( inputs. as_slice ( ) , & [ ] , None , group_index + 1 ) ?;
10251026 group_index += 1 ;
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