Hi Some findings:
1) spark sql does not support multiple join 2) spark left join: has performance issue 3) spark sql’s cache table: does not support two-tier query 4) spark sql does not support repartition Arthur On 10 Sep, 2014, at 10:22 pm, arthur.hk.c...@gmail.com <arthur.hk.c...@gmail.com> wrote: > Hi, > > May be you can take a look about the following. > > http://databricks.com/blog/2014/03/26/spark-sql-manipulating-structured-data-using-spark-2.html > > Good luck. > Arthur > > On 10 Sep, 2014, at 9:09 pm, arunshell87 <shell.a...@gmail.com> wrote: > >> >> Hi, >> >> I too had tried SQL queries with joins, MINUS , subqueries etc but they did >> not work in Spark Sql. >> >> I did not find any documentation on what queries work and what do not work >> in Spark SQL, may be we have to wait for the Spark book to be released in >> Feb-2015. >> >> I believe you can try HiveQL in Spark for your requirement. >> >> Thanks, >> Arun >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-more-than-two-tables-for-join-tp13865p13877.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
