shark / spark wiki的开发部分非常简短,所以我尝试将代码组合在一起,以编程方式查询表。这是......
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")
}
我可以创建表src并将数据加载到src中,但最后一个查询抛出NPE并失败,这是输出...
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>
但是,我可以通过在bin / shark-intrafo调用的shell中输入select * from src来查询src表
您可能会问我如何在“bin / shark-shell”触发的shell中尝试该sql。好吧,我无法进入那个壳。这是我遇到的错误......
https://groups.google.com/forum/?fromgroups=#!topic/shark-users/glZzrUfabGc
[编辑1]:这个NPE似乎是由于SharkENV.sc尚未设置,所以我添加了
shark.SharkEnv.sc = sc
在执行任何sql2console操作之前。然后它抱怨了scala.tools.nsc的ClassNotFoundException,所以我手动将scala-compiler放在classpath中。之后,代码抱怨了另一个ClassNotFoundException,我无法弄清楚如何解决它,因为我确实在类路径中放了shark jar。
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$1.run(URLClassLoader.java:217)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:205)
at java.lang.ClassLoader.loadClass(ClassLoader.java:321)
at java.lang.ClassLoader.loadClass(ClassLoader.java:266)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:264)
[编辑2]:好的,我想出了另一个代码,可以通过完全遵循鲨鱼的源代码来完成交互式代码来实现我的想法。
System.setProperty("MASTER", "spark://localhost.localdomain:8084")
System.setProperty("SPARK_MEM", "1g")
System.setProperty("SPARK_CLASSPATH", "")
System.setProperty("HADOOP_HOME", "/home/shengc/Downloads/software/hadoop-0.20.205.0")
System.setProperty("JAVA_HOME", "/usr/lib/jvm/java-1.6.0-openjdk-1.6.0.0.x86_64")
System.setProperty("HIVE_HOME", "/home/shengc/Downloads/software/hive-0.9.0-bin")
System.setProperty("SCALA_HOME", "/home/shengc/Downloads/software/scala-2.9.2")
shark.SharkEnv.initWithSharkContext("scratch")
val sc = shark.SharkEnv.sc.asInstanceOf[shark.SharkContext]
sc.sql2console("select * from src")
这很难看,但至少它有效。欢迎任何关于如何编写更强大的代码的评论!!
对于希望以编程方式操作鲨鱼的人,请注意所有hive和shark jar必须在你的CLASSPATH中,并且scala编译器也必须在你的类路径中。另一个重要的事情是hadoop的conf也应该在classpath中。
答案 0 :(得分:1)
我认为问题是你的SharkEnv没有初始化。 我使用shark 0.9.0(但我相信你必须在0.6.1中初始化SharkEnv),并且我的SharkEnv按以下方式初始化:
// SharkContext
val sc = new SharkContext(master,
jobName,
System.getenv("SPARK_HOME"),
Nil,
executorEnvVar)
// Initialize SharkEnv
SharkEnv.sc = sc
// create and populate table
sc.runSql("CREATE TABLE src(key INT, value STRING)")
sc.runSql("LOAD DATA LOCAL INPATH '${env:HIVE_HOME}/examples/files/kv1.txt' INTO TABLE src")
// print result to stdout
println(sc.runSql("select * from src"))
println(sc.runSql("select count(*) from src"))
另外,尝试从src表中查询数据(带有&#34的注释行;选择count(*)...&#34;)而不聚合函数,当数据查询正常时我有类似的问题,但是count( *)抛出异常,通过在我的情况下将 mysql-connector-java.jar 添加到 yarn.application.classpath 来修复。