Fix scalastyle for databricks shim

NVIDIA · Jul 28, 2020 · 65c20be · 65c20be
1 parent eac020a
commit 65c20be
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/.../spark300db/src/main/scala/com/nvidia/spark/rapids/shims/spark300db/Spark300dbShims.scala b/.../spark300db/src/main/scala/com/nvidia/spark/rapids/shims/spark300db/Spark300dbShims.scala
@@ -70,7 +70,7 @@ class Spark300dbShims extends Spark300Shims {
 
   override def getExecs: Map[Class[_ <: SparkPlan], ExecRule[_ <: SparkPlan]] = {
     Seq(
-     GpuOverrides.exec[FileSourceScanExec](
+      GpuOverrides.exec[FileSourceScanExec](
         "Reading data from files, often from Hive tables",
         (fsse, conf, p, r) => new SparkPlanMeta[FileSourceScanExec](fsse, conf, p, r) {
           // partition filters and data filters are not run on the GPU
@@ -104,7 +104,7 @@ class Spark300dbShims extends Spark300Shims {
         (join, conf, p, r) => new GpuBroadcastHashJoinMeta(join, conf, p, r)),
       GpuOverrides.exec[ShuffledHashJoinExec](
         "Implementation of join using hashed shuffled data",
-        (join, conf, p, r) => new GpuShuffledHashJoinMeta(join, conf, p, r)),
+        (join, conf, p, r) => new GpuShuffledHashJoinMeta(join, conf, p, r))
     ).map(r => (r.getClassFor.asSubclass(classOf[SparkPlan]), r)).toMap
   }