Hi,
My spark-env.sh has the following entries with respect to classpath:
export SPARK_CLASSPATH=$SPARK_CLASSPATH:/usr/lib/hive/lib/*:/etc/hive/conf/
-Skanda
On Sun, Feb 1, 2015 at 11:45 AM, guxiaobo1982 <guxiaobo1...@qq.com> wrote:
> Hi Skanda,
>
> How do set up your SPARK_CLASSPATH?
>
> I add the following line to my SPARK_HOME/conf/spark-env.sh , and still
> got the same error.
>
> export SPARK_CLASSPATH=${SPARK_CLASSPATH}:/etc/hive/conf
>
>
> ------------------ Original ------------------
> *From: * "Skanda Prasad";<skanda.ganapa...@gmail.com>;
> *Send time:* Monday, Jan 26, 2015 7:41 AM
> *To:* ""<guxiaobo1...@qq.com>; "user@spark.apache.org"<
> user@spark.apache.org>;
> *Subject: * RE: Can't access remote Hive table from spark
>
> This happened to me as well, putting hive-site.xml inside conf doesn't
> seem to work. Instead I added /etc/hive/conf to SPARK_CLASSPATH and it
> worked. You can try this approach.
>
> -Skanda
> ------------------------------
> From: guxiaobo1982 <guxiaobo1...@qq.com>
> Sent: 25-01-2015 13:50
> To: user@spark.apache.org
> Subject: Can't access remote Hive table from spark
>
> 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.
>
