Update: This syntax is mainly for avoiding retyping column names.
Let's take the example in my previous post, where *a* is a table of 15 columns, *b* has 5 columns, after a join, I have a table of (15 + 5 - 1(key in b)) = 19 columns and register the table in sqlContext. I don't want to actually retype all the 19 columns' name when querying with select. This feature exists in hive. But in SparkSql, it gives an exception. Any ideas ? Thx Hao -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/SparkSQL-select-syntax-tp16299p16364.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
