1
我們正在努力整合apache點火和apache火花，我們正在得到下面的錯誤。Apache點燃和火花迭代錯誤java.lang.NoSuchMethodError：org.apache.spark.sql.SQLContext.createDataFrame
Maven的配置
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.me</groupId>
<artifactId>igniteclient1</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>igniteclient1</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>2.1.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>2.1.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.ignite/ignite-core -->
<dependency>
<groupId>org.apache.ignite</groupId>
<artifactId>ignite-core</artifactId>
<version>1.8.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.ignite/ignite-spring -->
<dependency>
<groupId>org.apache.ignite</groupId>
<artifactId>ignite-spring</artifactId>
<version>1.8.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.ignite/ignite-indexing -->
<dependency>
<groupId>org.apache.ignite</groupId>
<artifactId>ignite-indexing</artifactId>
<version>1.8.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.ignite/ignite-rest-http -->
<dependency>
<groupId>org.apache.ignite</groupId>
<artifactId>ignite-rest-http</artifactId>
<version>1.8.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.ignite/ignite-spark -->
<dependency>
<groupId>org.apache.ignite</groupId>
<artifactId>ignite-spark</artifactId>
<version>1.8.0</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.0.0</version>
<configuration>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<!-- Additional configuration. -->
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
代碼：
package com.me.igniteclient1;
import org.apache.spark.api.java.*;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.Row;
import com.me.igniteclient1.ratio.Ratio;
import org.apache.ignite.Ignite;
import org.apache.ignite.Ignition;
import org.apache.ignite.configuration.IgniteConfiguration;
import org.apache.ignite.lang.IgniteOutClosure;
import org.apache.ignite.spark.JavaIgniteContext;
import org.apache.ignite.spark.JavaIgniteRDD;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.SQLContext;
/**
*
*/
public class App
{
public static void main(String[] args) {
SparkConf conf = new SparkConf().setAppName("Stockrank styles");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaIgniteContext igniteContext = new JavaIgniteContext(sc, new IgniteConfigProvider());
JavaIgniteRDD<String, Ratio> javaRdd = igniteContext.fromCache("RatioCache");
DataFrame df = javaRdd.sql("select ric, ratio1, ratio2, ratio3, ratio4 from Ratio where date = ? and ratios__Exchange = ? and ratio5 > ?", "2017-01-25", "LSE", 10);
df.printSchema();
df.show();
sc.stop();
}
/**
* Ignite configiration provider.
*/
static class IgniteConfigProvider implements IgniteOutClosure<IgniteConfiguration> {
public IgniteConfiguration apply() {
Ignition.setClientMode(true);
// Start Ignite in client mode.
Ignite ignite = Ignition.start();
return ignite.configuration();
}
}
}
錯誤：
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.sql.SQLContext.createDataFrame(Lorg/apache/spark/rdd/RDD;Lorg/apache/spark/sql/types/StructType;)Lorg/apache/spark/sql/DataFrame;
at org.apache.ignite.spark.IgniteRDD.sql(IgniteRDD.scala:152)
at org.apache.ignite.spark.JavaIgniteRDD.sql(JavaIgniteRDD.scala:79)
at org.apache.ignite.spark.JavaIgniteRDD.sql(JavaIgniteRDD.scala:79)
at com.me.igniteclient1.App.main(App.java:38)
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:738)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/02/10 17:55:10 INFO GridUpdateNotifier: Your version is up to date.
做這些測試都通過在點火火花模塊？
我嘗試了不同的火花版本，1.6，1.5，1.4，但沒有奏效。我得到同樣的錯誤。
我們正在評估使用ignite（作爲inmemory datafabric）和spark（使用mlib進行分析）的可能性。但整合模塊似乎並不十分活躍。未來的計劃是什麼？它會被棄用嗎？
UPDATE：點燃1.9發佈https://blogs.apache.org/ignite/entry/apache-ignite-1-9-released
Spark
Ignite’s spark integration was upgraded to the latest Spark version. Presently, you can leverage from Ignite Shared RDDs in applications using latest Spark version.