SpringBoot+SparkSQL操作JSON字符串

在SpringBoot中通过maven来做包管理构建，有几个地方需要注意一下的，需要解决包之间的冲突，否则运行时会报错：

（1）sparkSQL中需要先排除两个包：

 1         <dependency>
 2             <groupId>org.apache.spark</groupId>
 3             <artifactId>spark-sql_2.11</artifactId>
 4             <version>${spark.version}</version>
 5             <exclusions>
 6                 <exclusion>
 7                     <groupId>org.codehaus.janino</groupId>
 8                     <artifactId>janino</artifactId>
 9                 </exclusion>
10                 <exclusion>
11                     <groupId>org.codehaus.janino</groupId>
12                     <artifactId>commons-compiler</artifactId>
13                 </exclusion>
14             </exclusions>
15         </dependency>

（2）重新引入:

 1         <dependency>
 2             <groupId>org.codehaus.janino</groupId>
 3             <artifactId>commons-compiler</artifactId>
 4             <version>2.7.8</version>
 5         </dependency>
 6 
 7         <dependency>
 8             <groupId>org.codehaus.janino</groupId>
 9             <artifactId>janino</artifactId>
10             <version>2.7.8</version>
11         </dependency>

ok,准备工作做完之后，开始代码层面得工作：

主要给大家演示的场景是将json字符串转换成临时表，然后通过sparkSQL操作临时表，非常简单方便：

 1 public class SparkJsonSQL {
 2 
 3     public void Exec(){
 4         SparkConf conf = new SparkConf();
 5         conf.setMaster("local[2]").setAppName("jsonRDD");
 6         JavaSparkContext sc = new JavaSparkContext(conf);
 7         SQLContext sqlContext = new SQLContext(sc);
 8 
 9         JavaRDD<String> nameRDD = sc.parallelize(Arrays.asList(
10                 "{\"name\":\"zhangsan\",\"age\":\"18\"}",
11                 "{\"name\":\"lisi\",\"age\":\"19\"}",
12                 "{\"name\":\"wangwu\",\"age\":\"20\"}"
13         ));
14         JavaRDD<String> scoreRDD = sc.parallelize(Arrays.asList(
15                 "{\"name\":\"zhangsan\",\"score\":\"100\"}",
16                 "{\"name\":\"lisi\",\"score\":\"200\"}",
17                 "{\"name\":\"wangwu\",\"score\":\"300\"}"
18         ));
19 
20         Dataset<Row> namedf = sqlContext.read().json(nameRDD);
21         Dataset<Row> scoredf = sqlContext.read().json(scoreRDD);
22         namedf.registerTempTable("name");
23         scoredf.registerTempTable("score");
24 
25         Dataset<Row> result = sqlContext.sql("select name.name,name.age,score.score from name,score where name.name = score.name");
26         //Dataset<Row> result = sqlContext.sql("select * from name");
27         result.show();
28         result.foreach(x ->System.out.print(x));
29         sc.stop();
30     }
31 }

我们将程序运行起来看看效果：

标签：score,name,JSON,janino,SparkSQL,sc,org,sqlContext,SpringBoot
来源： https://blog.51cto.com/u_14465598/2800835