1、加载配置文件工具类
package com.yyds.realime.util
import java.io.InputStreamReader
import java.nio.charset.StandardCharsets
import java.util.Properties
object MyPropertiesUtil {
def load(propertiesName:String):Properties = {
val prop: Properties = new Properties()
// 从class文件中,进行加载
val inputStreamReader: InputStreamReader = new InputStreamReader(
Thread.currentThread().getContextClassLoader.getResourceAsStream(propertiesName),
StandardCharsets.UTF_8
)
prop.load(inputStreamReader)
prop
}
def main(args: Array[String]): Unit = {
val prop: Properties = MyPropertiesUtil.load("config.properties")
val str: String = prop.getProperty("kafka.broker.list")
println(str)
}
}
2、kafka工具类
package com.yyds.realime.util
import java.util.Properties
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.common.TopicPartition
import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.dstream.InputDStream
import org.apache.spark.streaming.kafka010.{ConsumerStrategies, KafkaUtils, LocationStrategies}
object KafkaUtil {
private val properties: Properties = MyPropertiesUtil.load("config.properties")
val broker_list = properties.getProperty("kafka.broker.list")
// kafka 消费者配置
var kafkaParam = collection.mutable.Map(
"bootstrap.servers" -> broker_list, //用于初始化链接到集群的地址
"key.deserializer" -> classOf[StringDeserializer],
"value.deserializer" -> classOf[StringDeserializer],
//用于标识这个消费者属于哪个消费团体
"group.id" -> "gmall2021_group",
//latest 自动重置偏移量为最新的偏移量
"auto.offset.reset" -> "latest",
//如果是 true,则这个消费者的偏移量会在后台自动提交,但是 kafka 宕机容易丢失数据
//如果是 false,会需要手动维护 kafka 偏移量
"enable.auto.commit" -> (false: java.lang.Boolean)
)
// 创建 DStream,返回接收到的输入数据
def getKafkaStream(topic: String,
ssc: StreamingContext): InputDStream[ConsumerRecord[String, String]] = {
val dStream = KafkaUtils.createDirectStream[String, String](
ssc,
LocationStrategies.PreferConsistent,
ConsumerStrategies.Subscribe[String, String](Array(topic), kafkaParam)
)
dStream
}
def getKafkaStream(topic: String,
ssc: StreamingContext,
groupId: String): InputDStream[ConsumerRecord[String, String]] = {
kafkaParam("group.id") = groupId
val dStream = KafkaUtils.createDirectStream[String, String](
ssc,
LocationStrategies.PreferConsistent,
ConsumerStrategies.Subscribe[String, String](Array(topic), kafkaParam))
dStream
}
def getKafkaStream(
topic: String,
ssc: StreamingContext,
offsets: Map[TopicPartition, Long],
groupId: String): InputDStream[ConsumerRecord[String, String]] = {
kafkaParam("group.id") = groupId
val dStream = KafkaUtils.createDirectStream[String, String](
ssc,
LocationStrategies.PreferConsistent,
ConsumerStrategies.Subscribe[String, String](Array(topic), kafkaParam, offsets))
dStream
}
}
3、redis工具类
package com.yyds.realime.util
import redis.clients.jedis.{Jedis, JedisPool, JedisPoolConfig}
object JedisUtil {
var jedisPool: JedisPool = null
def getJedisClient: Jedis = {
if (jedisPool == null) {
val config = MyPropertiesUtil.load("config.properties")
val host = config.getProperty("redis.host")
val port = config.getProperty("redis.port")
val jedisPoolConfig = new JedisPoolConfig()
jedisPoolConfig.setMaxTotal(100) //最大连接数
jedisPoolConfig.setMaxIdle(20) //最大空闲
jedisPoolConfig.setMinIdle(20) //最小空闲
jedisPoolConfig.setBlockWhenExhausted(true) //忙碌时是否等待
jedisPoolConfig.setMaxWaitMillis(5000) //忙碌时等待时长 毫秒
jedisPoolConfig.setTestOnBorrow(true) //每次获得连接的进行测试
jedisPool = new JedisPool(jedisPoolConfig, host, port.toInt)
}
jedisPool.getResource
}
}