ica.com>>
CC: Spark dev list mailto:dev@spark.apache.org>>
Asunto: Re: [SPARK-26160] Make assertNotBucketed call in DataFrameWriter::save
optional
The bucket feature is designed to only work with data sources with table
support, and currently the table support is not public yet, w
ted to the
> DataSourceV2 community sync?
>
>
>
> Thanks!
>
> Ximo.
>
>
>
> *De:* Wenchen Fan
> *Enviado el:* miércoles, 5 de diciembre de 2018 15:51
> *Para:* JOAQUIN GUANTER GONZALBEZ >
> *CC:* Spark dev list
> *Asunto:* Re: [SPARK-26160] Make asse
: miércoles, 5 de diciembre de 2018 15:51
Para: JOAQUIN GUANTER GONZALBEZ
CC: Spark dev list
Asunto: Re: [SPARK-26160] Make assertNotBucketed call in DataFrameWriter::save
optional
The bucket feature is designed to only work with data sources with table
support, and currently the table support is
The bucket feature is designed to only work with data sources with table
support, and currently the table support is not public yet, which means no
external data sources can access bucketing information right now. The
bucket feature only works with Spark native file source tables.
We are working o
Hello,
I have a proposal for a small improvement in the Datasource API and I'd like to
know if it sounds like a change the Spark project would accept.
Currently, the `.save` method in DataFrameWriter will fail if the dataframe is
bucketed and/or sorted. This makes sense, since there is no way o
