From c62270bac0962ce4503280e381d64bf5accc672f Mon Sep 17 00:00:00 2001 From: Andrew Ash Date: Tue, 18 Mar 2014 23:31:01 -0700 Subject: [PATCH] Typo: seqences -> sequences --- docs/sql-programming-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index 8b3a9b9736ef..828f7e10c4da 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -32,7 +32,7 @@ import sqlContext._ One type of table that is supported by Spark SQL is an RDD of Scala case classes. The case class defines the schema of the table. The names of the arguments to the case class are read using reflection and become the names of the columns. Case classes can also be nested or contain complex -types like Seqences or Arrays. Such an RDD can then be registered as a table and used in subsequent SQL +types like Sequences or Arrays. Such an RDD can then be registered as a table and used in subsequent SQL statements. {% highlight scala %}