Question

一个sparkstreaming application可以创建多少个inputstream，数据接收时间间隔必须

Answer 1

支持mysql的，下面是示例
spark streaming使用数据源方式插入mysql数据
import java.sql.{Connection, ResultSet}
import com.jolbox.bonecp.{BoneCP, BoneCPConfig}
import org.slf4j.LoggerFactory

object ConnectionPool {

val logger = LoggerFactory.getLogger(this.getClass)
private val connectionPool = {
try{
Class.forName("com.mysql.jdbc.Driver")
val config = new BoneCPConfig()
config.setJdbcUrl("jdbc:mysql://192.168.0.46:3306/test")
config.setUsername("test")
config.setPassword("test")
config.setMinConnectionsPerPartition(2)
config.setMaxConnectionsPerPartition(5)
config.setPartitionCount(3)
config.setCloseConnectionWatch(true)
config.setLogStatementsEnabled(true)
Some(new BoneCP(config))
} catch {
case exception:Exception=>
logger.warn("Error in creation of connection pool"+exception.printStackTrace())
None
}
}

def getConnection:Option[Connection] ={
connectionPool match {
case Some(connPool) => Some(connPool.getConnection)
case None => None
}
}

def closeConnection(connection:Connection): Unit = {
if(!connection.isClosed) connection.close()
}
}

import java.sql.{Connection, DriverManager, PreparedStatement}

import org.apache.spark.streaming.kafka.KafkaUtils
import org.apache.spark.streaming.{Seconds, StreamingContext}
import org.apache.spark.{SparkConf, SparkContext}
import org.slf4j.LoggerFactory

/**
* 记录最近五秒钟的数据
*/
object RealtimeCount1{

case class Loging(vtime:Long,muid:String,uid:String,ucp:String,category:String,autoSid:Int,dealerId:String,tuanId:String,newsId:String)

case class Record(vtime:Long,muid:String,uid:String,item:String,types:String)

val logger = LoggerFactory.getLogger(this.getClass)

def main(args: Array[String]) {
val argc = new Array[String](4)
argc(0) = "10.0.0.37"
argc(1) = "test-1"
argc(2) = "test22"
argc(3) = "1"
val Array(zkQuorum, group, topics, numThreads) = argc
val sparkConf = new SparkConf().setAppName("RealtimeCount").setMaster("local[2]")
val sc = new SparkContext(sparkConf)
val ssc = new StreamingContext(sc, Seconds(5))

val topicMap = topics.split(",").map((_,numThreads.toInt)).toMap

val lines = KafkaUtils.createStream(ssc, zkQuorum, group, topicMap).map(x=>x._2)

val sql = "insert into loging_realtime1(vtime,muid,uid,item,category) values (?,?,?,?,?)"

val tmpdf = lines.map(_.split("\t")).map(x=>Loging(x(9).toLong,x(1),x(0),x(3),x(25),x(18).toInt,x(29),x(30),x(28))).filter(x=>(x.muid!=null && !x.muid.equals("null") && !("").equals(x.muid))).map(x=>Record(x.vtime,x.muid,x.uid,getItem(x.category,x.ucp,x.newsId,x.autoSid.toInt,x.dealerId,x.tuanId),getType(x.category,x.ucp,x.newsId,x.autoSid.toInt,x.dealerId,x.tuanId)))
tmpdf.filter(x=>x.types!=null).foreachRDD{rdd =>
//rdd.foreach(println)
rdd.foreachPartition(partitionRecords=>{
val connection = ConnectionPool.getConnection.getOrElse(null)
if(connection!=null){
partitionRecords.foreach(record=>process(connection,sql,record))
ConnectionPool.closeConnection(connection)
}
})
}
ssc.start()
ssc.awaitTermination()
}

def getItem(category:String,ucp:String,newsId:String,autoSid:Int,dealerId:String,tuanId:String):String = {
if(category!=null && !category.equals("null")){
val pattern = ""
val matcher = ucp.matches(pattern)
if(matcher) {
ucp.substring(33,42)
}else{
null
}
}else if(autoSid!=0){
autoSid.toString
}else if(dealerId!=null && !dealerId.equals("null")){
dealerId
}else if(tuanId!=null && !tuanId.equals("null")){
tuanId
}else{
null
}
}

def getType(category:String,ucp:String,newsId:String,autoSid:Int,dealerId:String,tuanId:String):String = {
if(category!=null && !category.equals("null")){
val pattern = "100000726;100000730;\\d{9};\\d{9}"
val matcher = category.matches(pattern)

val pattern1 =""
val matcher1 = ucp.matches(pattern1)

if(matcher1 && matcher) {
"nv"
}else if(newsId!=null && !newsId.equals("null") && matcher1){
"ns"
}else if(matcher1){
"ne"
}else{
null
}
}else if(autoSid!=0){
"as"
}else if(dealerId!=null && !dealerId.equals("null")){
"di"
}else if(tuanId!=null && !tuanId.equals("null")){
"ti"
}else{
null
}
}

def process(conn:Connection,sql:String,data:Record): Unit ={
try{
val ps : PreparedStatement = conn.prepareStatement(sql)
ps.setLong(1,data.vtime)
ps.setString(2,data.muid)
ps.setString(3,data.uid)
ps.setString(4,data.item)
ps.setString(5,data.types)
ps.executeUpdate()
}catch{
case exception:Exception=>
logger.warn("Error in execution of query"+exception.printStackTrace())
}
}
}