第一次看到Spark崩潰
Spark Shell內存OOM的現象
要搞Spark圖計算，所以用了Google的web-Google.txt，大小71.8MB。
以命令：
val graph = GraphLoader.edgeListFile(sc,"hdfs://192.168.0.10:9000/input/graph/web-Google.txt")
建立圖的時候，運算了半天后直接退回了控制檯。
界面xian
scala> val graph = GraphLoader.edgeListFile(sc,"hdfs://192.168.0.10:9000/input/graph/web-Google.txt")
[Stage 0:> (0 + 2) / 2]./bin/spark-shell: line 44: 3592 Killed "${SPARK_HOME}"/bin/spark-submit --class org.apache.spark.repl.Main --name "Spark shell" "$@"
第二次Spark崩潰！
執行pagerank算法測試，使用的是google的數據web-Google.txt，大小71.8MB。
val rank = graph.pageRank(0.01).vertices
Spark是一個master，2個worker的集羣，結果slave2掛了
16/11/14 09:51:44 INFO cluster.SparkDeploySchedulerBackend: Granted executor ID app-20161114084026-0000/1333 on hostPort 192.168.0.5:42898 with 4 cores, 1024.0 MB RAM
16/11/14 09:51:44 INFO client.AppClient$ClientEndpoint: Executor updated: app-20161114084026-0000/1333 is now RUNNING
16/11/14 09:51:44 INFO client.AppClient$ClientEndpoint: Executor updated: app-20161114084026-0000/1333 is now EXITED (Command exited with code 1)
16/11/14 09:51:44 INFO cluster.SparkDeploySchedulerBackend: Executor app-20161114084026-0000/1333 removed: Command exited with code 1
16/11/14 09:51:44 INFO cluster.SparkDeploySchedulerBackend: Asked to remove non-existent executor 1333
16/11/14 09:51:44 INFO client.AppClient$ClientEndpoint: Executor added: app-20161114084026-0000/1334 on worker-20161114083607-192.168.0.5-42898 (192.168.0.5:42898) with 4 cores
結果一直嘗試連接slave2，呵呵
