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.jarcassandra-driver-core-3.1.4.jarguava-16.0.1.jarcassandra-thrift-3.0.2.jar joda-convert-1.2.jarjoda-time-2.9.9.jarlibthrift-0.9.1.jarspark-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:7077cassandra.host: 192.168.1.140cassandra.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

@Configurationpublic 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

@Repositorypublic 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网站的支持！