Fix for handling NUMBER scale correctly when use_high_precision is false :

When use_high_precision is false, NUMBER columns with non-zero scale are incorrectly returned as Int64 instead of Float64, causing data descrepency.

This fix checks the scale value to determine the appropriate Arrow type (Int64 vs Float64) to set the behaviour per documentation at https://arrow.apache.org/adbc/main/driver/snowflake.html

Author: praveentandra

go/adbc/driver/snowflake/record_reader.go

@@ -351,7 +351,12 @@ func rowTypesToArrowSchema(_ context.Context, ld gosnowflake.ArrowStreamLoader,
 					Scale:     int32(srcMeta.Scale),
 				}
 			} else {
-				fields[i].Type = arrow.PrimitiveTypes.Int64
+				// Check scale to determine if this is an integer or decimal
+				if srcMeta.Scale == 0 {
+					fields[i].Type = arrow.PrimitiveTypes.Int64
+				} else {
+					fields[i].Type = arrow.PrimitiveTypes.Float64
+				}
 			}
 		case "real":
 			fields[i].Type = arrow.PrimitiveTypes.Float64