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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.graphx
import org.apache.spark.SparkFunSuite
import org.apache.spark.storage.StorageLevel
class EdgeRDDSuite extends SparkFunSuite with LocalSparkContext {
test("cache, getStorageLevel") {
// test to see if getStorageLevel returns correct value after caching
withSpark { sc =>
val verts = sc.parallelize(List((0L, 0), (1L, 1), (1L, 2), (2L, 3), (2L, 3), (2L, 3)))
val edges = EdgeRDD.fromEdges(sc.parallelize(List.empty[Edge[Int]]))
assert(edges.getStorageLevel == StorageLevel.NONE)
edges.cache()
assert(edges.getStorageLevel == StorageLevel.MEMORY_ONLY)
}
}
}
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