Spring Boot与Spark、Cassandra系统集成开发示例

本文演示以Spark作为分析引擎,Cassandra作为数据存储,而使用Spring Boot来开发驱动程序的示例。

1.前置条件

• 安装Spark(本文使用Spark-1.5.1,如安装目录为/opt/spark)
• 安装Cassandra(3.0+)

创建keyspace

CREATE KEYSPACE hfcb WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 3 };

创建table

CREATE TABLE person (
 id text PRIMARY KEY,
 first_name text,
 last_name text
);

插入测试数据

insert into person (id,first_name,last_name) values('1','wang','yunfei');
insert into person (id,first_name,last_name) values('2','peng','chao');
insert into person (id,first_name,last_name) values('3','li','jian');
insert into person (id,first_name,last_name) values('4','zhang','jie');
insert into person (id,first_name,last_name) values('5','liang','wei');

2.spark-cassandra-connector安装

让Spark-1.5.1能够使用Cassandra作为数据存储，需要加上下面jar包的依赖(示例将包放置于 /opt/spark/managed-lib/ 目录，可任意):

cassandra-clientutil-3.0.2.jar
cassandra-driver-core-3.1.4.jar
guava-16.0.1.jar
cassandra-thrift-3.0.2.jar 
joda-convert-1.2.jar
joda-time-2.9.9.jar
libthrift-0.9.1.jar
spark-cassandra-connector_2.10-1.5.1.jar

在 /opt/spark/conf 目录下，新建 spark-env.sh 文件，输入下面内容

SPARK_CLASSPATH=/opt/spark/managed-lib/*

3.Spring Boot应用开发

添加 spark-cassandra-connector 和 spark 依赖

<dependency>
   <groupId>com.datastax.spark</groupId>
   <artifactId>spark-cassandra-connector_2.10</artifactId>
   <version>1.5.1</version>
  </dependency>
  <dependency>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-core_2.10</artifactId>
   <version>1.5.1</version>
  </dependency>
  <dependency>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-sql_2.10</artifactId>
   <version>1.5.1</version>
  </dependency>

在 application.yml 中配置 spark 与 cassandra 路径

spark.master: spark://master:7077
cassandra.host: 192.168.1.140
cassandra.keyspace: hfcb

此处特别说明 spark://master:7077 是域名形式而不是ip地址，可修改本地 hosts 文件将 master 与 ip 地址映射。

配置 SparkContext 和 CassandraSQLContext

@Configuration
public class SparkCassandraConfig {
 @Value("${spark.master}")
 String sparkMasterUrl;
 @Value("${cassandra.host}")
 String cassandraHost;
 @Value("${cassandra.keyspace}")
 String cassandraKeyspace;
 @Bean
 public JavaSparkContext javaSparkContext(){
  SparkConf conf = new SparkConf(true)
    .set("spark.cassandra.connection.host", cassandraHost)
//    .set("spark.cassandra.auth.username", "cassandra")
//    .set("spark.cassandra.auth.password", "cassandra")
    .set("spark.submit.deployMode", "client");
  JavaSparkContext context = new JavaSparkContext(sparkMasterUrl, "SparkDemo", conf);
  return context;
 }
 @Bean
 public CassandraSQLContext sqlContext(){
  CassandraSQLContext cassandraSQLContext = new CassandraSQLContext(javaSparkContext().sc());
  cassandraSQLContext.setKeyspace(cassandraKeyspace);
  return cassandraSQLContext;
 }
 }

简单调用

@Repository
public class PersonRepository {
 @Autowired
 CassandraSQLContext cassandraSQLContext;
 public Long countPerson(){
  DataFrame people = cassandraSQLContext.sql("select * from person order by id");
  return people.count();
 }
}

启动即可如常规Spring Boot程序一样执行。

源码地址: https://github.com/wiselyman/spring-spark-cassandra.git

总结

以上所述是小编给大家介绍的Spring Boot与Spark、Cassandra系统集成开发示例，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对小牛知识库网站的支持！