[SPARK-5445][SQL] Made DataFrame dsl usable in Java

Also removed the literal implicit transformation since it is pretty scary for API design. Instead, created a new lit method for creating literals. This doesn't break anything from a compatibility perspective because Literal was added two days ago.

Author: Reynold Xin <rxin@databricks.com>

Closes #4241 from rxin/df-docupdate and squashes the following commits:

c0f4810 [Reynold Xin] Fix Python merge conflict.
094c7d7 [Reynold Xin] Minor style fix. Reset Python tests.
3c89f4a [Reynold Xin] Package.
dfe6962 [Reynold Xin] Updated Python aggregate.
5dd4265 [Reynold Xin] Made dsl Java callable.
14b3c27 [Reynold Xin] Fix literal expression for symbols.
68b31cb [Reynold Xin] Literal.
4cfeb78 [Reynold Xin] [SPARK-5097][SQL] Address DataFrame code review feedback.

4 files changed, 4 insertions, 4 deletions

diff --git a/mllib/src/main/scala/org/apache/spark/ml/Transformer.scala b/mllib/src/main/scala/org/apache/spark/ml/Transformer.scala
index b233bff083..29cd981078 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/Transformer.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/Transformer.scala
@@ -24,7 +24,7 @@ import org.apache.spark.annotation.AlphaComponent
 import org.apache.spark.ml.param._
 import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql._
-import org.apache.spark.sql.dsl._
+import org.apache.spark.sql.api.scala.dsl._
 import org.apache.spark.sql.types._
 
 /**
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
index eeb6301c3f..101f6c8114 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
@@ -24,7 +24,7 @@ import org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS
 import org.apache.spark.mllib.linalg.{BLAS, Vector, VectorUDT}
 import org.apache.spark.mllib.regression.LabeledPoint
 import org.apache.spark.sql._
-import org.apache.spark.sql.dsl._
+import org.apache.spark.sql.api.scala.dsl._
 import org.apache.spark.sql.catalyst.dsl._
 import org.apache.spark.sql.types.{DoubleType, StructField, StructType}
 import org.apache.spark.storage.StorageLevel
diff --git a/mllib/src/main/scala/org/apache/spark/ml/feature/StandardScaler.scala b/mllib/src/main/scala/org/apache/spark/ml/feature/StandardScaler.scala
index e7bdb070c8..c456beb65d 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/feature/StandardScaler.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/feature/StandardScaler.scala
@@ -23,7 +23,7 @@ import org.apache.spark.ml.param._
 import org.apache.spark.mllib.feature
 import org.apache.spark.mllib.linalg.{Vector, VectorUDT}
 import org.apache.spark.sql._
-import org.apache.spark.sql.dsl._
+import org.apache.spark.sql.api.scala.dsl._
 import org.apache.spark.sql.catalyst.dsl._
 import org.apache.spark.sql.types.{StructField, StructType}
 
diff --git a/mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala b/mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
index f0bea5f469..738b1844b5 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
@@ -30,7 +30,7 @@ import org.apache.spark.ml.{Estimator, Model}
 import org.apache.spark.ml.param._
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.{Column, DataFrame}
-import org.apache.spark.sql.dsl._
+import org.apache.spark.sql.api.scala.dsl._
 import org.apache.spark.sql.types.{DoubleType, FloatType, IntegerType, StructField, StructType}
 import org.apache.spark.util.Utils
 import org.apache.spark.util.collection.{OpenHashMap, OpenHashSet, SortDataFormat, Sorter}