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Counting records in dplyr seems to trigger two jobs when a single one should be enough, opening this issue to investigate further.
The text was updated successfully, but these errors were encountered:
Worth investigating at some point since the investigation might uncover more interesting performance issues.
Sorry, something went wrong.
This is fixed in the latest version of sparklyr, tried with iris_tbl %>% count().
iris_tbl %>% count()
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Counting records in dplyr seems to trigger two jobs when a single one should be enough, opening this issue to investigate further.
The text was updated successfully, but these errors were encountered: