4
鯊魚/火花wiki的開發部分非常簡短，所以我嘗試將代碼放在一起以編程方式查詢表格。這是...鯊魚/火花引擎在查詢表格時拋出NPE
object Test extends App {
val master = "spark://localhost.localdomain:8084"
val jobName = "scratch"
val sparkHome = "/home/shengc/Downloads/software/spark-0.6.1"
val executorEnvVars = Map[String, String](
"SPARK_MEM" -> "1g",
"SPARK_CLASSPATH" -> "",
"HADOOP_HOME" -> "/home/shengc/Downloads/software/hadoop-0.20.205.0",
"JAVA_HOME" -> "/usr/lib/jvm/java-1.6.0-openjdk-1.6.0.0.x86_64",
"HIVE_HOME" -> "/home/shengc/Downloads/software/hive-0.9.0-bin"
)
val sc = new shark.SharkContext(master, jobName, sparkHome, Nil, executorEnvVars)
sc.sql2console("create table src")
sc.sql2console("load data local inpath '/home/shengc/Downloads/software/hive-0.9.0-bin/examples/files/kv1.txt' into table src")
sc.sql2console("select count(1) from src")
}
我可以創建表src和數據裝載到SRC很好，但最後的查詢扔NPE和失敗的，這裏是輸出...
13/01/06 17:33:20 INFO execution.SparkTask: Executing shark.execution.SparkTask
13/01/06 17:33:20 INFO shark.SharkEnv: Initializing SharkEnv
13/01/06 17:33:20 INFO execution.SparkTask: Adding jar file:///home/shengc/workspace/shark/hive/lib/hive-builtins-0.9.0.jar
java.lang.NullPointerException
at shark.execution.SparkTask$$anonfun$execute$5.apply(SparkTask.scala:58)
at shark.execution.SparkTask$$anonfun$execute$5.apply(SparkTask.scala:55)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:34)
at scala.collection.mutable.ArrayOps.foreach(ArrayOps.scala:38)
at shark.execution.SparkTask.execute(SparkTask.scala:55)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:134)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:57)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1326)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1118)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:951)
at shark.SharkContext.sql(SharkContext.scala:58)
at shark.SharkContext.sql2console(SharkContext.scala:84)
at Test$delayedInit$body.apply(Test.scala:20)
at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
at scala.App$$anonfun$main$1.apply(App.scala:60)
at scala.App$$anonfun$main$1.apply(App.scala:60)
at scala.collection.LinearSeqOptimized$class.foreach(LinearSeqOptimized.scala:59)
at scala.collection.immutable.List.foreach(List.scala:76)
at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:30)
at scala.App$class.main(App.scala:60)
at Test$.main(Test.scala:4)
at Test.main(Test.scala)
FAILED: Execution Error, return code -101 from shark.execution.SparkTask13/01/06 17:33:20 ERROR ql.Driver: FAILED: Execution Error, return code -101 from shark.execution.SparkTask
13/01/06 17:33:20 INFO ql.Driver: </PERFLOG method=Driver.execute start=1357511600030 end=1357511600054 duration=24>
13/01/06 17:33:20 INFO ql.Driver: <PERFLOG method=releaseLocks>
13/01/06 17:33:20 INFO ql.Driver: </PERFLOG method=releaseLocks start=1357511600054 end=1357511600054 duration=0>
然而，我可以通過在bin/shark-withinfo調用的shell中輸入select * from src來查詢src表。
您可能會問我如何在由「bin/shark-shell」觸發的shell中嘗試sql。那麼，我無法進入那個殼。這是我碰到的錯誤...
https://groups.google.com/forum/?fromgroups=#!topic/shark-users/glZzrUfabGc
[編輯1]：這個NPE似乎是從SharkENV.sc導致尚未確定，所以我加了
shark.SharkEnv.sc = sc
權在執行任何sql2console操作之前。然後它抱怨scala.tools.nsc的ClassNotFoundException，所以我手動將scala編譯器放在classpath中。在那之後，代碼抱怨了另一個ClassNotFoundException，我不知道如何解決它，因爲我確實把鯊魚jar放在了classpath中。
13/01/06 18:09:34 INFO cluster.TaskSetManager: Lost TID 1 (task 1.0:1)
13/01/06 18:09:34 INFO cluster.TaskSetManager: Loss was due to java.lang.ClassNotFoundException: shark.execution.TableScanOperator$$anonfun$preprocessRdd$3
at java.net.URLClassLoader$1.run(URLClassLoader.java:217)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:205)
at java.lang.ClassLoader.loadClass(ClassLoader.java:321)
at java.lang.ClassLoader.loadClass(ClassLoader.java:266)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:264)
[編輯2]：OK，我想通了另一個代碼可以通過下面的如何初始化互動REPL正是鯊魚的源代碼，實現我想要的東西。
System.setProperty("MASTER", "spark://localhost.localdomain:8084")
System.setProperty("SPARK_MEM", "1g")
System.setProperty("SPARK_CLASSPATH", "")
System.setProperty("HADOOP_HOME", "/home/shengc/Downloads/software/hadoop-0.20.205.0")
System.setProperty("JAVA_HOME", "/usr/lib/jvm/java-1.6.0-openjdk-1.6.0.0.x86_64")
System.setProperty("HIVE_HOME", "/home/shengc/Downloads/software/hive-0.9.0-bin")
System.setProperty("SCALA_HOME", "/home/shengc/Downloads/software/scala-2.9.2")
shark.SharkEnv.initWithSharkContext("scratch")
val sc = shark.SharkEnv.sc.asInstanceOf[shark.SharkContext]
sc.sql2console("select * from src")
這是醜陋的，但至少它的工作原理。如何編寫更強大的代碼的任何意見，歡迎！
對於任何希望以編程方式在鯊魚上操作的人，請注意，所有配置單元和鯊魚罐必須位於CLASSPATH中，並且scala編譯器也必須位於您的類路徑中。另一個重要的事情是hadoop的conf也應該在classpath中。