Hi, I have a parquet on S3 partitioned by day. I have 2 years of data (-> about 1000 partitions). With spark, when I just want to know the schema of this parquet without even asking for a single row of data, spark tries to list all the partitions and the nested partitions of the parquet. Which makes it very slow just to build the dataframe object on Zeppelin.
Is there a way to avoid that ? Is there way to tell spark : "hey, just read a single partition and give me the schema of that partition and consider it as the schema of the whole dataframe" ? (I don't care about schema merge, it's off by the way) Thanks. Walid.
