CI + JDK 11 regressions.

Author: metasim

.sbtopts

@@ -26,7 +26,6 @@ package org.locationtech.rasterframes
 import java.net.URI
 import java.sql.Timestamp
 import java.time.ZonedDateTime
-
 import geotrellis.layer.{withMergableMethods => _, _}
 import geotrellis.proj4.{CRS, LatLng}
 import geotrellis.raster._
@@ -37,6 +36,7 @@ import org.apache.spark.sql.{SQLContext, SparkSession}
 import org.locationtech.rasterframes.ref.RFRasterSource
 import org.locationtech.rasterframes.tiles.ProjectedRasterTile
 import org.locationtech.rasterframes.util._
+import org.scalatest.BeforeAndAfterEach
 
 import scala.util.control.NonFatal
 
@@ -46,10 +46,16 @@ import scala.util.control.NonFatal
  * @since 7/10/17
  */
 class RasterLayerSpec extends TestEnvironment with MetadataKeys
-  with TestData  {
+  with BeforeAndAfterEach with TestData  {
   import TestData.randomTile
   import spark.implicits._
 
+  override def beforeEach(): Unit = {
+    // Try to GC to avoid OOM on low memory instances.
+    // TODO: remove once we have a larger CI
+    System.gc()
+  }
+
   describe("Runtime environment") {
     it("should provide build info") {
       //assert(RFBuildInfo.toMap.nonEmpty)

core/src/test/scala/org/locationtech/rasterframes/RasterLayerSpec.scala

@@ -41,8 +41,6 @@ class StandardEncodersSpec extends TestEnvironment with TestData with Inspectors
     import spark.implicits._
     val data = Dimensions[Int](256, 256)
     val df = List(data).toDF()
-    df.show()
-    df.printSchema()
     val fs = df.as[Dimensions[Int]]
     val out = fs.first()
     out shouldBe data
@@ -53,8 +51,6 @@ class StandardEncodersSpec extends TestEnvironment with TestData with Inspectors
     import spark.implicits._
     val data = TileDataContext(IntCellType, Dimensions[Int](256, 256))
     val df = List(data).toDF()
-    df.show()
-    df.printSchema()
     val fs = df.as[TileDataContext]
     val out = fs.first()
     out shouldBe data
@@ -65,8 +61,6 @@ class StandardEncodersSpec extends TestEnvironment with TestData with Inspectors
     import spark.implicits._
     val data = ProjectedExtent(Extent(0, 0, 1, 1), LatLng)
     val df = List(data).toDF()
-    df.show()
-    df.printSchema()
     df.select($"crs".cast(StringType)).show()
     val fs = df.as[ProjectedExtent]
     val out = fs.first()
@@ -84,8 +78,6 @@ class StandardEncodersSpec extends TestEnvironment with TestData with Inspectors
       KeyBounds(SpatialKey(0,0), SpatialKey(9,9))
     )
     val df = List(data).toDF()
-    df.show()
-    df.printSchema()
     val fs = df.as[TileLayerMetadata[SpatialKey]]
     val out = fs.first()
     out shouldBe data