Repository: spark Updated Branches: refs/heads/master a52e68133 -> 5bdbedf22
[MINOR][DOCS] Typo fixes in Dataset scaladoc ## What changes were proposed in this pull request? Minor typo fixes in Dataset scaladoc * Corrected context type as SparkSession, not SQLContext. liancheng rxin andrewor14 ## How was this patch tested? Compiled locally Author: Xinh Huynh <xinh_hu...@yahoo.com> Closes #13330 from xinhhuynh/fix-dataset-typos. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/5bdbedf2 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/5bdbedf2 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/5bdbedf2 Branch: refs/heads/master Commit: 5bdbedf2201efa6c34392aa9eff709761f027e1d Parents: a52e681 Author: Xinh Huynh <xinh_hu...@yahoo.com> Authored: Fri May 27 11:13:53 2016 -0700 Committer: Andrew Or <and...@databricks.com> Committed: Fri May 27 11:13:53 2016 -0700 ---------------------------------------------------------------------- sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/5bdbedf2/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala index 85f0cf8..abd16f2 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala @@ -121,7 +121,7 @@ private[sql] object Dataset { * * A more concrete example in Scala: * {{{ - * // To create Dataset[Row] using SQLContext + * // To create Dataset[Row] using SparkSession * val people = spark.read.parquet("...") * val department = spark.read.parquet("...") * @@ -133,7 +133,7 @@ private[sql] object Dataset { * * and in Java: * {{{ - * // To create Dataset<Row> using SQLContext + * // To create Dataset<Row> using SparkSession * Dataset<Row> people = spark.read().parquet("..."); * Dataset<Row> department = spark.read().parquet("..."); * --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
