Repository: spark Updated Branches: refs/heads/master cabd54d93 -> 4f83e442b
[MINOR][DOC] Minor typo fixes ## What changes were proposed in this pull request? Minor typo fixes ## How was this patch tested? local build Author: Zheng RuiFeng <[email protected]> Closes #12755 from zhengruifeng/fix_doc_dataset. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/4f83e442 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/4f83e442 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/4f83e442 Branch: refs/heads/master Commit: 4f83e442b176ebaabe4048a2c86468c476b2ad50 Parents: cabd54d Author: Zheng RuiFeng <[email protected]> Authored: Thu Apr 28 22:56:26 2016 -0700 Committer: Reynold Xin <[email protected]> Committed: Thu Apr 28 22:56:26 2016 -0700 ---------------------------------------------------------------------- .../scala/org/apache/spark/sql/Dataset.scala | 30 ++++++++++---------- 1 file changed, 15 insertions(+), 15 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/4f83e442/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 bcb3fdb..860249c 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 @@ -97,7 +97,7 @@ private[sql] object Dataset { * the following creates a new Dataset by applying a filter on the existing one: * {{{ * val names = people.map(_.name) // in Scala; names is a Dataset[String] - * Dataset<String> names = people.map((Person p) -> p.name, Encoders.STRING) // in Java 8 + * Dataset<String> names = people.map((Person p) -> p.name, Encoders.STRING)) // in Java 8 * }}} * * Dataset operations can also be untyped, through various domain-specific-language (DSL) @@ -191,7 +191,7 @@ class Dataset[T] private[sql]( } /** - * An unresolved version of the internal encoder for the type of this [[Dataset]]. This one is + * An unresolved version of the internal encoder for the type of this [[Dataset]]. This one is * marked implicit so that we can use it when constructing new [[Dataset]] objects that have the * same object type (that will be possibly resolved to a different schema). */ @@ -329,7 +329,7 @@ class Dataset[T] private[sql]( } /** - * Converts this strongly typed collection of data to generic Dataframe. In contrast to the + * Converts this strongly typed collection of data to generic Dataframe. In contrast to the * strongly typed objects that Dataset operations work on, a Dataframe returns generic [[Row]] * objects that allow fields to be accessed by ordinal or name. * @@ -342,13 +342,13 @@ class Dataset[T] private[sql]( /** * :: Experimental :: - * Returns a new [[Dataset]] where each record has been mapped on to the specified type. The + * Returns a new [[Dataset]] where each record has been mapped on to the specified type. The * method used to map columns depend on the type of `U`: * - When `U` is a class, fields for the class will be mapped to columns of the same name - * (case sensitivity is determined by `spark.sql.caseSensitive`) + * (case sensitivity is determined by `spark.sql.caseSensitive`). * - When `U` is a tuple, the columns will be be mapped by ordinal (i.e. the first column will * be assigned to `_1`). - * - When `U` is a primitive type (i.e. String, Int, etc). then the first column of the + * - When `U` is a primitive type (i.e. String, Int, etc), then the first column of the * [[DataFrame]] will be used. * * If the schema of the [[Dataset]] does not match the desired `U` type, you can use `select` @@ -1002,7 +1002,7 @@ class Dataset[T] private[sql]( } /** - * Internal helper function for building typed selects that return tuples. For simplicity and + * Internal helper function for building typed selects that return tuples. For simplicity and * code reuse, we do this without the help of the type system and then use helper functions * that cast appropriately for the user facing interface. */ @@ -1125,7 +1125,7 @@ class Dataset[T] private[sql]( } /** - * Groups the [[Dataset]] using the specified columns, so we can run aggregation on them. See + * Groups the [[Dataset]] using the specified columns, so we can run aggregation on them. See * [[RelationalGroupedDataset]] for all the available aggregate functions. * * {{{ @@ -1237,7 +1237,7 @@ class Dataset[T] private[sql]( /** * :: Experimental :: * (Java-specific) - * Reduces the elements of this Dataset using the specified binary function. The given `func` + * Reduces the elements of this Dataset using the specified binary function. The given `func` * must be commutative and associative or the result may be non-deterministic. * * @group action @@ -1553,7 +1553,7 @@ class Dataset[T] private[sql]( /** * :: Experimental :: * (Scala-specific) Returns a new [[Dataset]] where each row has been expanded to zero or more - * rows by the provided function. This is similar to a `LATERAL VIEW` in HiveQL. The columns of + * rows by the provided function. This is similar to a `LATERAL VIEW` in HiveQL. The columns of * the input row are implicitly joined with each row that is output by the function. * * The following example uses this function to count the number of books which contain @@ -1596,7 +1596,7 @@ class Dataset[T] private[sql]( /** * :: Experimental :: * (Scala-specific) Returns a new [[Dataset]] where a single column has been expanded to zero - * or more rows by the provided function. This is similar to a `LATERAL VIEW` in HiveQL. All + * or more rows by the provided function. This is similar to a `LATERAL VIEW` in HiveQL. All * columns of the input row are implicitly joined with each value that is output by the function. * * {{{ @@ -1730,7 +1730,7 @@ class Dataset[T] private[sql]( /** * Returns a new [[Dataset]] with a column dropped. * This version of drop accepts a Column rather than a name. - * This is a no-op if the Datasetdoesn't have a column + * This is a no-op if the Dataset doesn't have a column * with an equivalent expression. * * @group untypedrel @@ -1969,7 +1969,7 @@ class Dataset[T] private[sql]( /** * :: Experimental :: * (Java-specific) - * Returns a new [[Dataset]] that contains the result of applying `func` to each partition. + * Returns a new [[Dataset]] that contains the result of applying `f` to each partition. * * @group func * @since 1.6.0 @@ -2028,7 +2028,7 @@ class Dataset[T] private[sql]( def foreach(func: ForeachFunction[T]): Unit = foreach(func.call(_)) /** - * Applies a function f to each partition of this [[Dataset]]. + * Applies a function `f` to each partition of this [[Dataset]]. * * @group action * @since 1.6.0 @@ -2283,7 +2283,7 @@ class Dataset[T] private[sql]( def javaRDD: JavaRDD[T] = toJavaRDD /** - * Registers this [[Dataset]] as a temporary table using the given name. The lifetime of this + * Registers this [[Dataset]] as a temporary table using the given name. The lifetime of this * temporary table is tied to the [[SQLContext]] that was used to create this Dataset. * * @group basic --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
