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From Eugene Morozov <>
Subject StructType has more rows, than corresponding Row has objects.
Date Mon, 05 Oct 2015 11:28:13 GMT

We're building our own framework on top of spark and we give users pretty
complex schema to work with. That requires from us to build dataframes by
ourselves: we transform business objects to rows and struct types and uses
these two to create dataframe.

Everything was fine until I started to upgrade to spark 1.5.0 (from 1.3.1).
Seems to be catalyst engine has been changed and now using almost the same
code to produce rows and struct types I have the following:, some of rows in the end result have different
number of values and corresponding struct types.

I'm almost sure it's my own fault, but there is always a small chance, that
something is wrong in spark codebase. If you've seen something similar or
if there is a jira for smth similar, I'd be glad to know. Thanks.
Be well!
Jean Morozov

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