资源隔离三个任务，增加spark.executor.cores、spark.cores.max资源控制参数。

ip-learning-spark/src/main/scala/cn/ac/iie/config/ApplicationConfig.scala

@@ -7,6 +7,8 @@ object ApplicationConfig {
 
   val SPARK_SQL_SHUFFLE_PARTITIONS: Int = config.getInt("spark.sql.shuffle.partitions")
   val SPARK_EXECUTOR_MEMORY: String = config.getString("spark.executor.memory")
+  val SPARK_EXECUTOR_CORES: String = config.getString("spark.executor.cores")
+  val SPARK_CORES_MAX: String = config.getString("spark.cores.max")
   val SPARK_APP_NAME: String = config.getString("spark.app.name")
   val SPARK_NETWORK_TIMEOUT: String = config.getString("spark.network.timeout")
 //  val REPARTITION_NUMBER: Int = config.getInt("repartitionNumber")
@@ -46,4 +48,6 @@ object ApplicationConfig {
 
   val ARANGODB_TOTAL_NUM: Long = config.getLong("arangodb.total.num")
 
+  val READ_RADIUS_GRANULARITY: Int = config.getInt("read.radius.granularity")
+
 }