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authorAlexander Slesarenko <avslesarenko@gmail.com>2015-10-26 23:49:14 +0100
committerReynold Xin <rxin@databricks.com>2015-10-26 23:49:14 +0100
commit4bb2b3698ffed58cc5159db36f8b11573ad26b23 (patch)
tree3291475d6606efd7048c5eaf8a50f6a2a9598b15
parentb60aab8a95e2a35a1d4023a9d0a0d9724e4164f9 (diff)
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[SQL][DOC] Minor document fixes in interfaces.scala
rxin just noticed this while reading the code. Author: Alexander Slesarenko <avslesarenko@gmail.com> Closes #9284 from aslesarenko/doc-typos.
-rw-r--r--sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala14
1 files changed, 7 insertions, 7 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala b/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala
index 84eef0f8a6..a9a013e936 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala
@@ -43,7 +43,7 @@ import org.apache.spark.util.SerializableConfiguration
* This allows users to give the data source alias as the format type over the fully qualified
* class name.
*
- * A new instance of this class with be instantiated each time a DDL call is made.
+ * A new instance of this class will be instantiated each time a DDL call is made.
*
* @since 1.5.0
*/
@@ -74,7 +74,7 @@ trait DataSourceRegister {
* less verbose invocation. For example, 'org.apache.spark.sql.json' would resolve to the
* data source 'org.apache.spark.sql.json.DefaultSource'
*
- * A new instance of this class with be instantiated each time a DDL call is made.
+ * A new instance of this class will be instantiated each time a DDL call is made.
*
* @since 1.3.0
*/
@@ -100,7 +100,7 @@ trait RelationProvider {
* less verbose invocation. For example, 'org.apache.spark.sql.json' would resolve to the
* data source 'org.apache.spark.sql.json.DefaultSource'
*
- * A new instance of this class with be instantiated each time a DDL call is made.
+ * A new instance of this class will be instantiated each time a DDL call is made.
*
* The difference between a [[RelationProvider]] and a [[SchemaRelationProvider]] is that
* users need to provide a schema when using a [[SchemaRelationProvider]].
@@ -135,7 +135,7 @@ trait SchemaRelationProvider {
* less verbose invocation. For example, 'org.apache.spark.sql.json' would resolve to the
* data source 'org.apache.spark.sql.json.DefaultSource'
*
- * A new instance of this class with be instantiated each time a DDL call is made.
+ * A new instance of this class will be instantiated each time a DDL call is made.
*
* The difference between a [[RelationProvider]] and a [[HadoopFsRelationProvider]] is
* that users need to provide a schema and a (possibly empty) list of partition columns when
@@ -195,7 +195,7 @@ trait CreatableRelationProvider {
* implementation should inherit from one of the descendant `Scan` classes, which define various
* abstract methods for execution.
*
- * BaseRelations must also define a equality function that only returns true when the two
+ * BaseRelations must also define an equality function that only returns true when the two
* instances will return the same data. This equality function is used when determining when
* it is safe to substitute cached results for a given relation.
*
@@ -208,7 +208,7 @@ abstract class BaseRelation {
/**
* Returns an estimated size of this relation in bytes. This information is used by the planner
- * to decided when it is safe to broadcast a relation and can be overridden by sources that
+ * to decide when it is safe to broadcast a relation and can be overridden by sources that
* know the size ahead of time. By default, the system will assume that tables are too
* large to broadcast. This method will be called multiple times during query planning
* and thus should not perform expensive operations for each invocation.
@@ -383,7 +383,7 @@ abstract class OutputWriter {
/**
* ::Experimental::
- * A [[BaseRelation]] that provides much of the common code required for formats that store their
+ * A [[BaseRelation]] that provides much of the common code required for relations that store their
* data to an HDFS compatible filesystem.
*
* For the read path, similar to [[PrunedFilteredScan]], it can eliminate unneeded columns and