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spark straming basis

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This commit is contained in:
罗祥
2019-05-27 13:43:49 +08:00
parent 79228ff9ef
commit 5407561d44
7 changed files with 66 additions and 73 deletions
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18
code/spark/spark-streaming-basis/src/main/java/com/heibaiying/JedisPoolUtils.scala
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@@ -1,18 +0,0 @@
package com.heibaiying
import redis.clients.jedis.{Jedis, JedisPool, JedisPoolConfig}
object JedisPoolUtils {
/*创建Jedis连接池*/
val config = new JedisPoolConfig
config.setMaxTotal(30)
config.setMaxIdle(10)
val jedisPool = new JedisPool(config, "localhost", 6379)
def getConnection: Jedis = {
jedisPool.getResource
}
}

10
code/spark/spark-streaming-basis/src/main/java/com/heibaiying/NetworkWordCount.scala
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@@ -4,23 +4,23 @@ import org.apache.spark.SparkConf
import org.apache.spark.streaming.{Seconds, StreamingContext}
/**
*
* 词频统计
*/
object NetworkWordCount {
def main(args: Array[String]) {
/*指定时间间隔为5s*/
val sparkConf = new SparkConf().setAppName("NetworkWordCount").setMaster("local[2]")
/*指定时间间隔*/
val ssc = new StreamingContext(sparkConf, Seconds(1))
val ssc = new StreamingContext(sparkConf, Seconds(5))
val lines = ssc.socketTextStream("hadoop001", 9999)
/*创建文本输入流,并进行词频统计*/
val lines = ssc.socketTextStream("192.168.200.229", 9999)
lines.flatMap(_.split(" ")).map(x => (x, 1)).reduceByKey(_ + _).print()
/*启动服务*/
ssc.start()
/*等待服务结束*/
ssc.awaitTermination()

38
code/spark/spark-streaming-basis/src/main/java/com/heibaiying/NetworkWordCountToRedis.scala
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@@ -1,43 +1,45 @@
package com.heibaiying
import com.heibaiying.utils.JedisPoolUtil
import org.apache.spark.SparkConf
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.streaming.{Seconds, StreamingContext}
import redis.clients.jedis.Jedis
/**
* 词频统计
*/
object NetworkWordCountV2 {
object NetworkWordCountToRedis {
def main(args: Array[String]) {
/*
* 本地测试时最好指定hadoop用户名,否则会默认使用本地电脑的用户名,
* 此时在HDFS上创建目录时可能会抛出权限不足的异常
*/
System.setProperty("HADOOP_USER_NAME", "root")
/*指定时间间隔为5s*/
val sparkConf = new SparkConf().setAppName("NetworkWordCount").setMaster("local[2]")
val ssc = new StreamingContext(sparkConf, Seconds(5))
/*必须要设置检查点*/
ssc.checkpoint("hdfs://192.168.200.229:8020/spark-streaming")
/*创建文本输入流,并进行词频统计*/
val lines = ssc.socketTextStream("192.168.200.229", 9999)
lines.flatMap(_.split(" ")).map(x => (x, 1))
.updateStateByKey((values: Seq[Int], state: Option[Int]) => {
val currentCount: Int = values.sum
val lastCount: Int = state.getOrElse(0)
Some(currentCount + lastCount)
})
.print()
val pairs: DStream[(String, Int)] = lines.flatMap(_.split(" ")).map(x => (x, 1)).reduceByKey(_ + _)
pairs.foreachRDD { rdd =>
rdd.foreachPartition { partitionOfRecords =>
var jedis: Jedis = null
try {
jedis = JedisPoolUtil.getConnection
partitionOfRecords.foreach(record => jedis.hincrBy("wordCount", record._1, record._2))
} catch {
case ex: Exception =>
ex.printStackTrace()
} finally {
if (jedis != null) jedis.close()
}
}
}
/*启动服务*/
ssc.start()
/*等待服务结束*/
ssc.awaitTermination()
}
}

19
code/spark/spark-streaming-basis/src/main/java/com/heibaiying/NetworkWordCountV2.scala
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@@ -4,20 +4,35 @@ import org.apache.spark.SparkConf
import org.apache.spark.streaming.{Seconds, StreamingContext}
/**
* 词频统计
* 词频统计升级版
*/
object NetworkWordCountV2 {
def main(args: Array[String]) {
/*
* 本地测试时最好指定hadoop用户名,否则会默认使用本地电脑的用户名,
* 此时在HDFS上创建目录时可能会抛出权限不足的异常
*/
System.setProperty("HADOOP_USER_NAME", "root")
/*指定时间间隔为5s*/
val sparkConf = new SparkConf().setAppName("NetworkWordCount").setMaster("local[2]")
val ssc = new StreamingContext(sparkConf, Seconds(5))
/*必须要设置检查点*/
ssc.checkpoint("hdfs://192.168.200.229:8020/spark-streaming")
/*创建文本输入流,并进行词频统计*/
val lines = ssc.socketTextStream("192.168.200.229", 9999)
lines.flatMap(_.split(" ")).map(x => (x, 1)).reduceByKey(_ + _).print()
lines.flatMap(_.split(" ")).map(x => (x, 1))
.updateStateByKey((values: Seq[Int], state: Option[Int]) => {
val currentCount: Int = values.sum
val lastCount: Int = state.getOrElse(0)
Some(currentCount + lastCount)
})
.print()
/*启动服务*/
ssc.start()

24
code/spark/spark-streaming-basis/src/main/java/com/heibaiying/utils/JedisPoolUtil.java
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@@ -1,30 +1,30 @@
package com.heibaiying.utils;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;
public class JedisPoolUtil {
// 必须要声明为 volatile 防止指令重排序
private static volatile JedisPool JedisPool = null;
/* 声明为volatile防止指令重排序 */
private static volatile JedisPool jedisPool = null;
private JedisPoolUtil() {
if (JedisPool != null) {
throw new RuntimeException("单例模式禁止反射调用!");
}
}
private static final String HOST = "localhost";
private static final int PORT = 6379;
public static JedisPool getConnect() {
if (JedisPool == null) {
/* 双重检查锁实现懒汉式单例 */
public static Jedis getConnection() {
if (jedisPool == null) {
synchronized (JedisPoolUtil.class) {
if (JedisPool != null) {
if (jedisPool == null) {
JedisPoolConfig config = new JedisPoolConfig();
config.setMaxTotal(30);
config.setMaxIdle(10);
JedisPool jedisPool = new JedisPool(config, "localhost", 6379);
jedisPool = new JedisPool(config, HOST, PORT);
}
}
}
return JedisPool;
return jedisPool.getResource();
}
}

18
code/spark/spark-streaming-basis/src/main/java/com/heibaiying/utils/JedisPoolUtil.scala
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@@ -1,18 +0,0 @@
package com.heibaiying.utils
import redis.clients.jedis.{Jedis, JedisPool, JedisPoolConfig}
object JedisPoolUtil {
/*创建Jedis连接池*/
val config = new JedisPoolConfig
config.setMaxTotal(30)
config.setMaxIdle(10)
val jedisPool = new JedisPool(config, "localhost", 6379)
def getConnection: Jedis = {
jedisPool.getResource
}
}