which versions of Spark and Hive are you using. what will happen if you use parquet tables instead?
HTH Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On Tue, 6 Aug 2019 at 07:58, Rishikesh Gawade <rishikeshg1...@gmail.com> wrote: > Hi. > I have built a Hive external table on top of a directory 'A' which has > data stored in ORC format. This directory has several subdirectories inside > it, each of which contains the actual ORC files. > These subdirectories are actually created by spark jobs which ingest data > from other sources and write it into this directory. > I tried creating a table and setting the table properties of the same as > *hive.mapred.supports.subdirectories=TRUE* and > *mapred.input.dir.recursive**=TRUE*. > As a result of this, when i fire the simplest query of *select count(*) > from ExtTable* via the Hive CLI, it successfully gives me the expected > count of records in the table. > However, when i fire the same query via sparkSQL, i get count = 0. > > I think the sparkSQL isn't able to descend into the subdirectories for > getting the data while hive is able to do so. > Are there any configurations needed to be set on the spark side so that > this works as it does via hive cli? > I am using Spark on YARN. > > Thanks, > Rishikesh > > Tags: subdirectories, subdirectory, recursive, recursion, hive external > table, orc, sparksql, yarn >
