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https://issues.apache.org/jira/browse/ARROW-2144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16364699#comment-16364699
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ASF GitHub Bot commented on ARROW-2144:
---------------------------------------

trxcllnt commented on a change in pull request #1599: ARROW-2144: [JS] Don't 
repeat dictionary lookups in DataFrame ops
URL: https://github.com/apache/arrow/pull/1599#discussion_r168296826
 
 

 ##########
 File path: js/src/vector/nested.ts
 ##########
 @@ -40,6 +40,15 @@ export abstract class NestedView<T extends NestedType> 
implements View<T> {
     public toArray(): IterableArrayLike<T['TValue']> {
         return [...this];
     }
+    public find(search: T['TValue']) {
+        let index = 0;
+        for (let value of this) {
+            if (value === search) { return index; }
 
 Review comment:
   @TheNeuralBit I saw the special-cased `every()` call in 
`FixedSizeListView`'s find method, so I suspect you're already aware of the 
question I have here: since `get(i)` on a NestedView returns a structured clone 
of the nested element, how do we make this work? I know in C++ they have 
visitors that compare vectors of the same type together, and that sounds like 
what we really need here.

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> [JS] Don't repeat dictionary lookups in DataFrame ops
> -----------------------------------------------------
>
>                 Key: ARROW-2144
>                 URL: https://issues.apache.org/jira/browse/ARROW-2144
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: JavaScript
>            Reporter: Brian Hulette
>            Priority: Major
>              Labels: pull-request-available
>
> Currently we repeat dictionary lookups every time we bind a new record batch 
> when doing an equality check in a DataFrame op 
> (https://github.com/apache/arrow/blob/master/js/src/predicate.ts#L143).
> In most cases the dictionary won't be changing between record batches, so we 
> should remember these reverse dictionary lookups, either permanently, or at 
> least for the duration of the current operation.



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