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| author | Reynold Xin <rxin@databricks.com> | 2015-01-28 19:10:32 -0800 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2015-01-28 19:10:32 -0800 |
| commit | 5b9760de8dd2dab7cf9a4f5c65869e4ed296a938 (patch) | |
| tree | 9e6b1f6c6077f3379276de229ccad2e63ff2e2be /examples | |
| parent | 4ee79c71afc5175ba42b5e3d4088fe23db3e45d1 (diff) | |
| download | spark-5b9760de8dd2dab7cf9a4f5c65869e4ed296a938.tar.gz spark-5b9760de8dd2dab7cf9a4f5c65869e4ed296a938.tar.bz2 spark-5b9760de8dd2dab7cf9a4f5c65869e4ed296a938.zip | |
[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.
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/sql/RDDRelation.scala | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/examples/src/main/scala/org/apache/spark/examples/sql/RDDRelation.scala b/examples/src/main/scala/org/apache/spark/examples/sql/RDDRelation.scala index a5d7f26258..e9f47889f3 100644 --- a/examples/src/main/scala/org/apache/spark/examples/sql/RDDRelation.scala +++ b/examples/src/main/scala/org/apache/spark/examples/sql/RDDRelation.scala @@ -19,8 +19,7 @@ package org.apache.spark.examples.sql import org.apache.spark.{SparkConf, SparkContext} import org.apache.spark.sql.SQLContext -import org.apache.spark.sql.dsl._ -import org.apache.spark.sql.dsl.literals._ +import org.apache.spark.sql.api.scala.dsl._ // One method for defining the schema of an RDD is to make a case class with the desired column // names and types. |