Hi,
I built and started a single node standalone Spark 1.2.0 cluster along with a
single node Hive 0.14.0 instance installed by Ambari 1.17.0. On the Spark and
Hive node I can create and query tables inside Hive, and on remote machines I
can submit the SparkPi example to the Spark master. But I failed to run the
following example code :
public class SparkTest {
public static void main(String[] args)
{
String appName= "This is a test application";
String master="spark://lix1.bh.com:7077";
SparkConf conf = new
SparkConf().setAppName(appName).setMaster(master);
JavaSparkContext sc = new JavaSparkContext(conf);
JavaHiveContext sqlCtx = new
org.apache.spark.sql.hive.api.java.JavaHiveContext(sc);
//sqlCtx.sql("CREATE TABLE IF NOT EXISTS src (key INT, value
STRING)");
//sqlCtx.sql("LOAD DATA LOCAL INPATH
'/opt/spark/examples/src/main/resources/kv1.txt' INTO TABLE src");
// Queries are expressed in HiveQL.
List<Row> rows = sqlCtx.sql("FROM src SELECT key, value").collect();
System.out.print("I got " + rows.size() + " rows \r\n");
sc.close();}
}
Exception in thread "main"
org.apache.hadoop.hive.ql.metadata.InvalidTableException: Table not found src
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:980)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:950)
at
org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:70)
at
org.apache.spark.sql.hive.HiveContext$$anon$2.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:253)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:141)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:141)
at scala.Option.getOrElse(Option.scala:120)
at
org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.lookupRelation(Catalog.scala:141)
at
org.apache.spark.sql.hive.HiveContext$$anon$2.lookupRelation(HiveContext.scala:253)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:143)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$5.applyOrElse(Analyzer.scala:138)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:162)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:191)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:147)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:135)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:138)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:137)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:61)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:59)
at
scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111)
at scala.collection.immutable.List.foldLeft(List.scala:84)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:59)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:51)
at scala.collection.immutable.List.foreach(List.scala:318)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.apply(RuleExecutor.scala:51)
at
org.apache.spark.sql.SQLContext$QueryExecution.analyzed$lzycompute(SQLContext.scala:411)
at
org.apache.spark.sql.SQLContext$QueryExecution.analyzed(SQLContext.scala:411)
at
org.apache.spark.sql.SQLContext$QueryExecution.withCachedData$lzycompute(SQLContext.scala:412)
at
org.apache.spark.sql.SQLContext$QueryExecution.withCachedData(SQLContext.scala:412)
at
org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan$lzycompute(SQLContext.scala:413)
at
org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan(SQLContext.scala:413)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:418)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:416)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:422)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:422)
at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:444)
at
org.apache.spark.sql.api.java.JavaSchemaRDD.collect(JavaSchemaRDD.scala:114)
at com.blackhorse.SparkTest.main(SparkTest.java:27)
[delete Spark temp dirs] DEBUG org.apache.spark.util.Utils - Shutdown hook
called
[delete Spark local dirs] DEBUG org.apache.spark.storage.DiskBlockManager -
Shutdown hook calle
But if I change the query to "show tables", the program can run and got 0 rows
through I have many tables inside Hive, so I come to doubt that my program or
the spark instance did not connect to my Hive instance, maybe it started a
local hive. I have put the hive-site.xml file from Hive installation into
spark's conf directory. Can you help figure out what's wrong here, thanks.
