[GitHub] [spark] tgravescs commented on issue #24371: [SPARK-27176][FOLLOW-UP][SQL] Shade Parquet to sql/core

2019-04-20 Thread GitBox
tgravescs commented on issue #24371: [SPARK-27176][FOLLOW-UP][SQL] Shade Parquet to sql/core URL: https://github.com/apache/spark/pull/24371#issuecomment-485119568 Sorry I guess this addresses shading but not hive factorization not working

[GitHub] [spark] tgravescs commented on issue #24371: [SPARK-27176][FOLLOW-UP][SQL] Shade Parquet to sql/core

2019-04-20 Thread GitBox
tgravescs commented on issue #24371: [SPARK-27176][FOLLOW-UP][SQL] Shade Parquet to sql/core URL: https://github.com/apache/spark/pull/24371#issuecomment-485116211 That doesn't solve Felix's concern. Did we file a follow up from #24346?

[GitHub] [spark] tgravescs commented on issue #24371: [SPARK-27176][FOLLOW-UP][SQL] Shade Parquet to sql/core

2019-04-17 Thread GitBox
tgravescs commented on issue #24371: [SPARK-27176][FOLLOW-UP][SQL] Shade Parquet to sql/core URL: https://github.com/apache/spark/pull/24371#issuecomment-484189968 Upgraded to this version of Spark will affect users that are relying on Spark containing parquet. Meaning the user code