Github user markgrover commented on the pull request:
https://github.com/apache/spark/pull/10248#issuecomment-165333670
In Hive or in Spark SQL, as I understand, the default partitioning mode is
strict, due to which at least one of the partitions being inserted to has
to be statically specified. When doing dynamic partitioning, this mode has
to be changed before. In spark SQL, that means you have to issue a query
like sqlContext.sql("SET hive.exec.dynamic.partition.mode=nonstrict")
before running the actual SQL statement.
Does that answer your question?
On Wed, Dec 16, 2015 at 4:16 PM, Yin Huai <[email protected]> wrote:
> What do you mean by mentioning SET
> hive.exec.dynamic.partition.mode=nonstrict?
>
> â
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/spark/pull/10248#issuecomment-165296868>.
>
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