我有以下Java Spark Hive Example，可以在官方的apache / spark Github上找到。我花了很多时间了解如何在我的Hortonworks Hadoop Sandbox中运行该示例但没有成功。
目前，我正在做以下事情：
将SparkSession设置为master local，将spark.sql.warehouse.dir更改为hive.metastore.uris并将thrift：// localhost：9083（我在Ambari中的Hive confing中可以看到）设置为warehouseLocation。
SparkSession spark = SparkSession
.builder()
.appName("Java Spark Hive Example")
.master("local[*]")
.config("hive.metastore.uris", "thrift://localhost:9083")
.enableHiveSupport()
.getOrCreate();
然后我替换spark.sql("LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src");
带有hdfs的路径，我已经上传了kv1.txt：
spark.sql("LOAD DATA LOCAL INPATH 'hdfs:///tmp/kv1.txt' INTO TABLE src");
最后一步是在pom.xml上使用mvn package创建JAR - 它构建没有错误并且给了我 original-spark-examples_2.11-2.3.0-SNAPSHOT.jar
我将程序集复制到Hadoop Sandbox scp -P 2222 ./target/original-spark-examples_2.11-2.3.0-SNAPSHOT.jar root@sandbox.hortonworks.com:/root
并使用spark-submit运行代码/usr/hdp/current/spark2-client/bin/spark-submit --class "JavaSparkHiveExample" --master local ./original-spark-examples_2.11-2.3.0-SNAPSHOT.jar
返回以下错误：
[root@sandbox-hdp ~]# /usr/hdp/current/spark2-client/bin/spark-submit --class "JavaSparkHiveExample" --master local ./original-spark-examples_2.11-2.3.0-SNAPSHOT.jar
java.lang.ClassNotFoundException: JavaSparkHiveExample
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.util.Utils$.classForName(Utils.scala:230)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:739)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
[root@sandbox-hdp ~]#
..在这里我完全陷入困境，可能我错过了一些准备代码运行的步骤，等等。
如果我可以获得一些帮助以便在我的Hadoop Sandbox上运行此代码，那么我非常高兴。我能够运行JavaWordCount.java Spark示例就好了，但是这个我完全被卡住了。谢谢:)）
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package org.apache.spark.examples.sql.hive;
// $example on:spark_hive$
import java.io.File;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
// $example off:spark_hive$
public class JavaSparkHiveExample {
// $example on:spark_hive$
public static class Record implements Serializable {
private int key;
private String value;
public int getKey() {
return key;
}
public void setKey(int key) {
this.key = key;
}
public String getValue() {
return value;
}
public void setValue(String value) {
this.value = value;
}
}
// $example off:spark_hive$
public static void main(String[] args) {
// $example on:spark_hive$
// warehouseLocation points to the default location for managed databases and tables
String warehouseLocation = new File("spark-warehouse").getAbsolutePath();
SparkSession spark = SparkSession
.builder()
.appName("Java Spark Hive Example")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate();
spark.sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING) USING hive");
spark.sql("LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src");
// Queries are expressed in HiveQL
spark.sql("SELECT * FROM src").show();
// +---+-------+
// |key| value|
// +---+-------+
// |238|val_238|
// | 86| val_86|
// |311|val_311|
// ...
// Aggregation queries are also supported.
spark.sql("SELECT COUNT(*) FROM src").show();
// +--------+
// |count(1)|
// +--------+
// | 500 |
// +--------+
// The results of SQL queries are themselves DataFrames and support all normal functions.
Dataset<Row> sqlDF = spark.sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key");
// The items in DataFrames are of type Row, which lets you to access each column by ordinal.
Dataset<String> stringsDS = sqlDF.map(
(MapFunction<Row, String>) row -> "Key: " + row.get(0) + ", Value: " + row.get(1),
Encoders.STRING());
stringsDS.show();
// +--------------------+
// | value|
// +--------------------+
// |Key: 0, Value: val_0|
// |Key: 0, Value: val_0|
// |Key: 0, Value: val_0|
// ...
// You can also use DataFrames to create temporary views within a SparkSession.
List<Record> records = new ArrayList<>();
for (int key = 1; key < 100; key++) {
Record record = new Record();
record.setKey(key);
record.setValue("val_" + key);
records.add(record);
}
Dataset<Row> recordsDF = spark.createDataFrame(records, Record.class);
recordsDF.createOrReplaceTempView("records");
// Queries can then join DataFrames data with data stored in Hive.
spark.sql("SELECT * FROM records r JOIN src s ON r.key = s.key").show();
// +---+------+---+------+
// |key| value|key| value|
// +---+------+---+------+
// | 2| val_2| 2| val_2|
// | 2| val_2| 2| val_2|
// | 4| val_4| 4| val_4|
// ...
// $example off:spark_hive$
spark.stop();
}
}
答案 0 :(得分：0)
班级名称始终需要完全限定。
--class org.apache.spark.examples.sql.hive.JavaSparkHiveExample
spark.sql（＆＃34; LOAD DATA LOCAL INPATH＆＃39; hdfs：///tmp/kv1.txt' INTO TABLE src＆＃34;）;无法从hdfs读取，我该怎么解决这个
几个选项