Fetching Cassandra Table Rows using Spark - scala

I am facing the issue in connecting to cassandra using spark Repl..
Scala version 2.11,spark vesrion 1.6,cassandra version 3.0. When entering into spark shell I am using:
spark-shell --jars spark-cassandra-connector-1.6.0-s_2.10.jar
I'm trying to connect to cassandra using the following steps
import com.datastax.spark.connector._
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
sc.stop
val conf = new parkConf(true)
.set("spark.cassandra.connection.host", "localhost")
val sc = new SparkContext(conf)
val table = sc.cassandraTable("testtb", "words")
I'm getting the error when executing in the spark shell...
java.lang.NoClassDefFoundError: Could not initialize class com.datastax.spark.connector.cql.CassandraConnectorConf$
at com.datastax.spark.connector.cql.CassandraConnector$.apply(CassandraConnector.scala:188)
at com.datastax.spark.connector.SparkContextFunctions.cassandraTable$default$3(SparkContextFunctions.scala:52)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:49)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:51)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:53)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:55)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:57)
at $iwC$$iwC$$iwC.<init>(<console>:59)
at $iwC$$iwC.<init>(<console>:61)
at $iwC.<init>(<console>:63)
at <init>(<console>:65)
at .<init>(<console>:69)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at rg.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

try adding the following command line option
spark-shell --packages datastax:spark-cassandra-connector:1.6.0-M1-s_2.10
this will work

This is a common problem when you mix-up Scala 2.10 and 2.11. If you have spark compiled with 2.11 you need to do get the 2.11 JARs (if they exist, otherwise move back to 2.10)
spark-shell --jars spark-cassandra-connector-1.6.0-s_2.11.jar

Related

Databricks error java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;

I am trying to run some sample code from this link: https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/5537430417240233/312903576646278/3506802399907740/latest.html
I am running it in a databricks notebook on a cluster with runtime 6.3 (includes Apache Spark 2.4.4, Scala 2.11)
I initially create a dataframe using
import org.apache.spark.sql.SparkSession
val spark = SparkSession.builder.getOrCreate
import spark.implicits._
val df = Seq(
("one", 2.0),
("two", 1.5),
("three", 8.0)
).toDF("id", "val")
and then I try to get a list of strings by running
df.select("id").map(_.getString(0)).collect.toList
and i get the error below
java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;
t line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.(command-1275538363433250:2)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.(command-1275538363433250:53)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw$$iw$$iw$$iw$$iw.(command-1275538363433250:55)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw$$iw$$iw$$iw.(command-1275538363433250:57)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw$$iw$$iw.(command-1275538363433250:59)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw$$iw.(command-1275538363433250:61)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw$$iw.(command-1275538363433250:63)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$$iw.(command-1275538363433250:65)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read.(command-1275538363433250:67)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$.(command-1275538363433250:71)
at line3700fe51392b4abe9744f6b3a059dbfa46.$read$.(command-1275538363433250)
at line3700fe51392b4abe9744f6b3a059dbfa46.$eval$.$print$lzycompute(:7)
at line3700fe51392b4abe9744f6b3a059dbfa46.$eval$.$print(:6)
at line3700fe51392b4abe9744f6b3a059dbfa46.$eval.$print()
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:793)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1054)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:576)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:572)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:215)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply$mcV$sp(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.ScalaDriverLocal$$anonfun$repl$1.apply(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:699)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:652)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:202)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:385)
at com.databricks.backend.daemon.driver.DriverLocal$$anonfun$execute$9.apply(DriverLocal.scala:362)
at com.databricks.logging.UsageLogging$$anonfun$withAttributionContext$1.apply(UsageLogging.scala:251)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at com.databricks.logging.UsageLogging$class.withAttributionContext(UsageLogging.scala:246)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:49)
at com.databricks.logging.UsageLogging$class.withAttributionTags(UsageLogging.scala:288)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:49)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:362)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at com.databricks.backend.daemon.driver.DriverWrapper$$anonfun$tryExecutingCommand$2.apply(DriverWrapper.scala:644)
at scala.util.Try$.apply(Try.scala:192)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:639)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:485)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:597)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:390)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:337)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:219)
at java.lang.Thread.run(Thread.java:748)
I get the same error when running
df.select("id").collect().map(_(0)).toList
but not when running
df.select("id").rdd.map(_(0)).collect.toList
The command above that runs successfully returns a List[Any], but I need a List[String]
Can someone please advise? I suspect it's a sparkscala version mismatch, but I can't figure out what is wrong.
The exception
java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;
often arises if you mix different scala versions. Do you have any dependencies loaded for scala 2.12?
EDIT: I just tested your code in databricks with the same runtime, worked just fine....
In .map convert to string using .toString then the result would be List[String]
Example:
df.select("id").collect().map(x => x(0).toString).toList
List[String] = List(one, two, three)

<console>:22: error: not found: value sc

I am completely new to Spark, Learning is in progress on Spark. While in practice, facing few issues as below. Multiple steps and quiet long.
I am using spark-shell in UNIX environment. Getting errors as below.
Step 1
$ spark-shell
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.3.1
/_/
Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_25)
Type in expressions to have them evaluated.
Type :help for more information.
2016-04-22 07:44:31,5095 ERROR JniCommon fs/client/fileclient/cc/jni_MapRClient.cc:1473 Thread: 20535 mkdirs failed for /user/cni/.sparkStaging/application_1459074732364_1192326, error 13
org.apache.hadoop.security.AccessControlException: User cni(user id 5689) has been denied access to create application_1459074732364_1192326
at com.mapr.fs.MapRFileSystem.makeDir(MapRFileSystem.java:1100)
at com.mapr.fs.MapRFileSystem.mkdirs(MapRFileSystem.java:1120)
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:1851)
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:631)
at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:224)
at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:384)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:102)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:58)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:141)
at org.apache.spark.SparkContext.(SparkContext.scala:381)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1016)
at $iwC$$iwC.(:9)
at $iwC.(:18)
at (:20)
at .(:24)
at .()
at .(:7)
at .()
at $print()
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:901)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:123)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:122)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:122)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:973)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:157)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:106)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:990)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
java.lang.NullPointerException
at org.apache.spark.sql.SQLContext.(SQLContext.scala:145)
at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:49)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1027)
at $iwC$$iwC.(:9)
at $iwC.(:18)
at (:20)
at .(:24)
at .()
at .(:7)
at .()
at $print()
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:901)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:130)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:122)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:122)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:973)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:157)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:106)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:990)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
:10: error: not found: value sqlContext
import sqlContext.implicits._
^
:10: error: not found: value sqlContext
import sqlContext.sql
^
Step 2:
I just ignored warning/errors above, and moved on with my code. I read that, sc will get created automatically if i use spark-shell, So coded as below.
<pre>
scala> val textFile = sc.textFile("README.md")
<console>:13: error: not found: value sc
val textFile = sc.textFile("README.md")
</pre>
Step 3:
As it is saying sc not found, tried creating it.
scala> import org.apache.spark._
import org.apache.spark._
scala> import org.apache.spark.streaming._
import org.apache.spark.streaming._
scala> import org.apache.spark.streaming.StreamingContext._
import org.apache.spark.streaming.StreamingContext._
scala> val conf = new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount").set("spark.ui.port", "44040" ).set("spark.driver.allowMultipleContexts", "true")
conf: org.apache.spark.SparkConf = org.apache.spark.SparkConf#1a58697d
scala> val ssc = new StreamingContext(conf, Seconds(2) )
16/04/22 08:19:18 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.SparkContext.<init>(SparkContext.scala:80)
org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1016)
$line3.$read$$iwC$$iwC.<init>(<console>:9)
$line3.$read$$iwC.<init>(<console>:18)
$line3.$read.<init>(<console>:20)
$line3.$read$.<init>(<console>:24)
$line3.$read$.<clinit>(<console>)
$line3.$eval$.<init>(<console>:7)
$line3.$eval$.<clinit>(<console>)
$line3.$eval.$print(<console>)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:606)
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)
ssc: org.apache.spark.streaming.StreamingContext = org.apache.spark.streaming.StreamingContext#15492914
As spark told me it is warning(of course also said, it may indicate error), So ignored and moved on to create RDD. Again, Here I am not sure, Is this an error/Warning???
step 4
Created RDD as follows.
<pre>
scala> var fil = ssc.textFile("/mapr/datalake/01.Call_ID.txt")
<console>:21: error: value textFile is not a member of org.apache.spark.streaming.StreamingContext
var fil = ssc.textFile("/mapr/datalake/01.Call_ID.txt")
^
</pre>
Here it is saying me textFile is not a member of streamingContext. I am going mad with all these. Also, I am working for a company, executing scripts in company's laptop(JFYI).
I think all of this is due to a lack of permissions. Presuming you have the correct access priveleges to use the cluster you can type
HADOOP_USER_NAME=hdfs spark-shell
That should overwrite the permissions of your account.
It seems that you are having issues to create a folder inside your user directory in HDFS.
Check the permissions on folder: /user/cni/
You can try giving all access to your user folder with the command:
hdfs dfs -chmod -R 777 /user/cni
This is not recommended in shared clusters or in production but it could help you to identify if it is an access issue.

Spark Streaming: Broadcast variables, java.lang.ClassCastException

I try to read data from a static textfile stored in HDFS, store its content into an ArrayBuffer which in turn should be broadcasted via sparkContext.broadcast as a BroadcastVariable. I am using cloudera's spark, spark version 1.6.0-cdh5.7.0 and spark-streaming_2.10.
I start the application on yarn using spark-submit:
spark-submit --class my.package.BroadcastStreamTest1 --master yarn --deploy-mode client --conf spark.executor.userClassPathFirst=true current.jar
When I do this, I get an
java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
The same code used with a hard coded ArrayBuffer work perfectly so I assume it has something to do with the static file resource...
Does anyone have an idea what I am possibly doing wrong? Any help appreciated.
This does not work:
object BroadcastStreamTest1 {
def main(args: Array[String]) {
val sparkConf = new SparkConf()
val streamingContext = new StreamingContext(sparkConf, batchDuration = Seconds(10))
val content = streamingContext.sparkContext
.textFile("hdfs:///data/someTextFile.txt")
.collect()
.toBuffer[String]
val broadCastVar = streamingContext.sparkContext.broadcast(content)
broadCastVar.value.foreach(line => println(line))
streamingContext.start()
streamingContext.awaitTermination()
}
}
This works:
object BroadcastStreamTest2 {
def main(args: Array[String]) {
val sparkConf = new SparkConf()
val streamingContext = new StreamingContext(sparkConf, batchDuration = Seconds(10))
val content = new mutable.ArrayBuffer[String]
(1 to 50).foreach(i => content += "line" + i)
val broadCastVar = streamingContext.sparkContext.broadcast(content)
broadCastVar.value.foreach(line => println(line))
streamingContext.start()
streamingContext.awaitTermination()
}
}
Stacktrace:
16/04/25 10:09:59 ERROR scheduler.TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 6, n525.hadoop.mxint.net): java.io.IOException: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1208)
at org.apache.spark.Accumulable.readObject(Accumulators.scala:151)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083)
at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996)
at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:500)
at org.apache.spark.Accumulable$$anonfun$readObject$1.apply$mcV$sp(Accumulators.scala:152)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1205)
... 30 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1843)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1856)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1869)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1940)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
at net.meetrics.dada.streaming.application.BroadcastStreamTest1$.main(BroadcastStreamTest1.scala:14)
at net.meetrics.dada.streaming.application.BroadcastStreamTest1.main(BroadcastStreamTest1.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1208)
at org.apache.spark.Accumulable.readObject(Accumulators.scala:151)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083)
at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996)
at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:500)
at org.apache.spark.Accumulable$$anonfun$readObject$1.apply$mcV$sp(Accumulators.scala:152)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1205)
... 30 more
The reason was some kind of conflict with my provided jar file.
Without setting
spark.executor.userClassPathFirst=true
it works, unfortunately I could not locate the exact cause of the problem.

Standalone HBase with Spark, HBaseTest.scala is giving error

Hi I am using standalone hbase and I want to test spark on it. There is no hadoop on my machine.
when I try to get count of a table using HBaseTest.scala (in scala examples)
I get following error:
ERROR TableInputFormat: java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:416)
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:393)
at org.apache.hadoop.hbase.client.HConnectionManager.getConnection(HConnectionManager.java:274)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:194)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:156)
at org.apache.hadoop.hbase.mapreduce.TableInputFormat.setConf(TableInputFormat.java:101)
at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:91)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1632)
at org.apache.spark.rdd.RDD.count(RDD.scala:1012)
at org.apache.spark.examples.HBaseTest$.main(HBaseTest.scala:59)
at org.apache.spark.examples.HBaseTest.main(HBaseTest.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:607)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:167)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:190)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:414)
... 23 more
Caused by: java.lang.VerifyError: class org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result overrides final method getUnknownFields.()Lcom/google/protobuf/UnknownFieldSet;
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.<clinit>(ProtobufUtil.java:176)
at org.apache.hadoop.hbase.ClusterId.parseFrom(ClusterId.java:64)
at org.apache.hadoop.hbase.zookeeper.ZKClusterId.readClusterIdZNode(ZKClusterId.java:69)
at org.apache.hadoop.hbase.client.ZooKeeperRegistry.getClusterId(ZooKeeperRegistry.java:83)
at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.retrieveClusterId(HConnectionManager.java:857)
at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.<init>(HConnectionManager.java:662)
... 28 more
Exception in thread "main" java.io.IOException: No table was provided.
at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:154)
at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1632)
at org.apache.spark.rdd.RDD.count(RDD.scala:1012)
at org.apache.spark.examples.HBaseTest$.main(HBaseTest.scala:59)
at org.apache.spark.examples.HBaseTest.main(HBaseTest.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:607)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:167)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:190)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
I am not able to figure out whats the issue here.
HBaseTest.scala:
object HBaseTest {
def main(args: Array[String]) {
val sparkConf = new SparkConf().setAppName("HBaseTest").setMaster("local")
val sc = new SparkContext(sparkConf)
val conf = HBaseConfiguration.create()
// Other options for configuring scan behavior are available. More information available at
// http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/mapreduce/TableInputFormat.html
conf.set("zookeeper.znode.parent", "/hbase-unsecure")
conf.set("hbase.zookeeper.quorum", "localhost")
conf.set("hbase.zookeeper.property.clientPort","2181")
conf.addResource(new Path("/usr/lib/hbase/hbase-0.94.8/conf/hbase-site.xml"))
conf.set(TableInputFormat.INPUT_TABLE,"test")
// Initialize hBase table if necessary
val admin = new HBaseAdmin(conf)
if (!admin.isTableAvailable("test")) {
print ("inside if statement")
val tableDesc = new HTableDescriptor(TableName.valueOf("test"))
admin.createTable(tableDesc)
}
val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
classOf[org.apache.hadoop.hbase.client.Result])
hBaseRDD.count()
sc.stop()
}
}
You ar using TableInputFormat class as input format. TableInputFormat class is belong to hadoop Map-reduce API. You need to install hadoop for using TableInputFormat.

Launching process from shell is fine, doesn't work with ProcessBuilder

I am playing around with Scala's ProcessBuilder and I am trying to launch the bitcoin-cli from Scala.
This works fine from the shell and the command to execute it is simply bitcoin-cli
However if I try and launch it from the scala REPL I get an error:
chris#chris:~$ scala
Welcome to Scala version 2.10.3 (OpenJDK 64-Bit Server VM, Java 1.7.0_55).
Type in expressions to have them evaluated.
Type :help for more information.
scala> import sys.process._
import sys.process._
scala> "bitcoin-cli".!!
java.lang.RuntimeException: Nonzero exit value: 1
at scala.sys.package$.error(package.scala:27)
at scala.sys.process.ProcessBuilderImpl$AbstractBuilder.slurp(ProcessBuilderImpl.scala:131)
at scala.sys.process.ProcessBuilderImpl$AbstractBuilder.$bang$bang(ProcessBuilderImpl.scala:101)
at .<init>(<console>:11)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568)
at scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:756)
at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:801)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:713)
at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:577)
at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:584)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:587)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:878)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:833)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:833)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:833)
at scala.tools.nsc.MainGenericRunner.runTarget$1(MainGenericRunner.scala:83)
at scala.tools.nsc.MainGenericRunner.process(MainGenericRunner.scala:96)
at scala.tools.nsc.MainGenericRunner$.main(MainGenericRunner.scala:105)
at scala.tools.nsc.MainGenericRunner.main(MainGenericRunner.scala)
scala>
Why does this error out?
EDIT:
scala> Process("bitcoin-cli").!!
java.lang.RuntimeException: Nonzero exit value: 1
at scala.sys.package$.error(package.scala:27)
at scala.sys.process.ProcessBuilderImpl$AbstractBuilder.slurp(ProcessBuilderImpl.scala:131)
at scala.sys.process.ProcessBuilderImpl$AbstractBuilder.$bang$bang(ProcessBuilderImpl.scala:101)
at .<init>(<console>:11)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568)
at scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:756)
at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:801)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:713)
at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:577)
at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:584)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:587)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:878)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:833)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:833)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:833)
at scala.tools.nsc.MainGenericRunner.runTarget$1(MainGenericRunner.scala:83)
at scala.tools.nsc.MainGenericRunner.process(MainGenericRunner.scala:96)
at scala.tools.nsc.MainGenericRunner$.main(MainGenericRunner.scala:105)
at scala.tools.nsc.MainGenericRunner.main(MainGenericRunner.scala)