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From Efe Selcuk <>
Subject Re: [Spark2] Error writing "complex" type to CSV
Date Fri, 19 Aug 2016 00:27:37 GMT
Thanks for the response. The problem with that thought is that I don't
think I'm dealing with a complex nested type. It's just a dataset where
every record is a case class with only simple types as fields, strings and
dates. There's no nesting.

That's what confuses me about how it's interpreting the schema. The schema
seems to be one complex field rather than a bunch of simple fields.

On Thu, Aug 18, 2016, 5:07 PM Hyukjin Kwon <> wrote:

> Hi Efe,
> If my understanding is correct, supporting to write/read complex types is
> not supported because CSV format can't represent the nested types in its
> own format.
> I guess supporting them in writing in external CSV is rather a bug.
> I think it'd be great if we can write and read back CSV in its own format
> but I guess we can't.
> Thanks!
> On 19 Aug 2016 6:33 a.m., "Efe Selcuk" <> wrote:
>> We have an application working in Spark 1.6. It uses the databricks csv
>> library for the output format when writing out.
>> I'm attempting an upgrade to Spark 2. When writing with both the native
>> DataFrameWriter#csv() method and with first specifying the
>> "com.databricks.spark.csv" format (I suspect underlying format is the same
>> but I don't know how to verify), I get the following error:
>> java.lang.UnsupportedOperationException: CSV data source does not support
>> struct<[bunch of field names and types]> data type
>> There are 20 fields, mostly plain strings with a couple of dates. The
>> source object is a Dataset[T] where T is a case class with various fields
>> The line just looks like: someDataset.write.csv(outputPath)
>> Googling returned this fairly recent pull request:
>> If I'm reading that correctly, the schema shows that each record has one
>> field of this complex struct type? And the validation thinks it's something
>> that it can't serialize. I would expect the schema to have a bunch of
>> fields in it matching the case class, so maybe there's something I'm
>> misunderstanding.
>> Efe

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