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https://issues.apache.org/jira/browse/ARROW-1886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16407176#comment-16407176
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ASF GitHub Bot commented on ARROW-1886:
---------------------------------------

cpcloud commented on a change in pull request #1768: ARROW-1886: [C++/Python] 
Flatten struct columns in table 
URL: https://github.com/apache/arrow/pull/1768#discussion_r175943054
 
 

 ##########
 File path: cpp/src/arrow/type.cc
 ##########
 @@ -42,6 +42,21 @@ std::shared_ptr<Field> Field::RemoveMetadata() const {
   return std::make_shared<Field>(name_, type_, nullable_);
 }
 
+std::vector<std::shared_ptr<Field>> Field::Flatten() const {
+  std::vector<std::shared_ptr<Field>> flattened;
+  if (type_->id() == Type::STRUCT) {
+    for (const auto& child : type_->children()) {
+      auto flattened_child = std::make_shared<Field>(*child);
+      flattened.push_back(flattened_child);
+      flattened_child->name_.insert(0, name() + ".");
 
 Review comment:
   This is going to appear strange IMO if the name has a period or space or 
something other than variable name. This is kind of a can of worms without 
[`std::quoted`](http://en.cppreference.com/w/cpp/io/manip/quoted) (available in 
>=C++14)

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> [Python] Add function to "flatten" structs within tables
> --------------------------------------------------------
>
>                 Key: ARROW-1886
>                 URL: https://issues.apache.org/jira/browse/ARROW-1886
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Wes McKinney
>            Assignee: Antoine Pitrou
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.10.0
>
>
> See discussion in https://issues.apache.org/jira/browse/ARROW-1873
> When a user has a struct column, it may be more efficient to flatten the 
> struct into multiple columns of the form {{struct_name.field_name}} for each 
> field in the struct. Then when you call {{to_pandas}}, Python dictionaries do 
> not have to be created, and the conversion will be much more efficient



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