[ https://issues.apache.org/jira/browse/ARROW-1886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16407176#comment-16407176 ]
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) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > [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 -- This message was sent by Atlassian JIRA (v7.6.3#76005)