vogievetsky commented on code in PR #15588:
URL: https://github.com/apache/druid/pull/15588#discussion_r1442071487


##########
web-console/src/druid-models/dimension-spec/dimension-spec.ts:
##########
@@ -64,6 +65,12 @@ export const DIMENSION_SPEC_FIELDS: Field<DimensionSpec>[] = 
[
     defaultValue: 'SORTED_ARRAY',
     suggestions: ['SORTED_ARRAY', 'SORTED_SET', 'ARRAY'],
   },
+  {
+    name: 'castToType',
+    type: 'string',
+    defined: typeIsKnown(KNOWN_TYPES, 'auto'),
+    suggestions: [undefined, 'ARRAY<STRING>', 'ARRAY<LONG>', 'ARRAY<DOUBLE>'],

Review Comment:
   When you say that `ARRAY<FLOAT> works too but is just mapped to 
ARRAY<DOUBLE>` are you advocating that we add it to the suggestions? The 
suggestion are not meant to be everything that works, only everything that is 
somehow useful. Remember that a standard dimension spec type can be `flooooot` 
(it gets mapped to `string`) but we don't want to suggest that.
   
   Why would we not use 'auto' with 'castToType'  everywhere 🤔 ? I really like 
it because it let's us get away from dimension types (which have a confusing 
relationship with column types).



##########
web-console/src/druid-models/external-config/external-config.ts:
##########
@@ -127,15 +126,15 @@ export function externalConfigToTableExpression(config: 
ExternalConfig): SqlExpr
 
 export function externalConfigToInitDimensions(
   config: ExternalConfig,
-  isArrays: boolean[],
   timeExpression: SqlExpression | undefined,
 ): SqlExpression[] {
   return (timeExpression ? [timeExpression.as('__time')] : [])
     .concat(
-      filterMap(config.signature, (columnDeclaration, i) => {
+      filterMap(config.signature, columnDeclaration => {
         const columnName = columnDeclaration.getColumnName();
         if (timeExpression && timeExpression.containsColumnName(columnName)) 
return;
-        return C(columnName).applyIf(isArrays[i], ex => F('MV_TO_ARRAY', 
ex).as(columnName) as any);
+        return C(columnName);
+        // return C(columnName).applyIf(isArrays[i], ex => F('MV_TO_ARRAY', 
ex).as(columnName) as any);

Review Comment:
   woops



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