categorys源码
CREATE TABLE `category` ( `id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT, `editdate` char(20) NOT NULL DEFAULT "20170622", `number` CHAR(100) NOT NULL DEFAULT "spell", `category` CHAR(100) NOT NULL DEFAULT "综合", `words` CHAR(100) NOT NULL DEFAULT "name", PRIMARY KEY (`id`) ) DEFAULT CHARSET=utf8; ALTER TABLE `category` ADD INDEX(`words`);
/** * Created by lkl on 2017/6/27. */ import java.sql.{DriverManager, ResultSet} import org.apache.spark.SparkContext import org.apache.spark.SparkConf import java.math.BigDecimal object layer { def main(args: Array[String]) { val conf = new SparkConf().setMaster("local").setAppName("test") val sc = new SparkContext(conf) val sqlContext = new org.apache.spark.sql.SQLContext(sc) val role = "jdbc:mysql://192.168.0.37:3306/emotional?user=root&password=123456&useUnicode=true&characterEncoding=utf8&autoReconnect=true&failOverReadOnly=false" // val log = sc.textFile("hdfs://192.168.0.211:9000/user/hadoop/emotion/汉语情感词极值表.txt") // val g = log.map(line => (line.split(" ").head, line.split(" ").last.trim)) // import sqlContext.implicits._ // val df = g.toDF("words", "value").registerTempTable("layer") // val value = sqlContext.sql("select words,value from layer") // val pp=value.map(p => { // val words= p.getString(0) // val value = p.getString(1) // (words,value) // }) // // pp.foreach(p => { // val v0 = p._1 // val v1 = p._2.toFloat // insert(v0, v1) // // }) val logCsenticNet = sc.textFile("hdfs://192.168.0.211:9000/user/hadoop/emotion/editCsenticNet.txt") val gCsenticNet = logCsenticNet.map(line => (line.split(",")(0), line.split(",")(1), line.split(",")(2), line.split(",")(3), line.split(",")(4))) import sqlContext.implicits._ val dfCsenticNet = gCsenticNet.toDF("words", "attitude", "expression", "extreme", "VALUE").registerTempTable("CsenticNetlayer2") val valueCsenticNet = sqlContext.sql("select words,attitude,expression,extreme,VALUE from CsenticNetlayer2") val ppCsenticNet = valueCsenticNet.map(p => { val v0 = p.getString(0) val v1 = p.getString(1) val v2 = p.getString(2) val v3 = p.getString(3) val v4 = p.getString(4) (v0, v1, v2, v3, v4) }) ppCsenticNet.foreach(p => { val v0 = p._1 val v1 = p._2 val v2 = p._3 val v3 = p._4 val v4 = p._5 insert2(v0, v1, v2, v3, v4) }) def insert(value0: String, value1: Float): Unit = { println(value0, value1) val rl = "jdbc:mysql://192.168.0.37:3306/emotional?user=root&password=123456&useUnicode=true&characterEncoding=utf8&autoReconnect=true&failOverReadOnly=false" classOf[com.mysql.jdbc.Driver] val conn = DriverManager.getConnection(rl) val statement = conn.createStatement(ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_UPDATABLE) try { val prep = conn.prepareStatement("INSERT INTO layer(words,VALUE) VALUES (?,?) ") prep.setString(1, value0) prep.setFloat(2, value1) prep.executeUpdate } catch { case e: Exception => e.printStackTrace } finally { // conn.close } } def insert2(value0: String, value1: String, value2: String, value3: String, value4: String): Unit = { val rl = "jdbc:mysql://192.168.0.37:3306/emotional?user=root&password=123456&useUnicode=true&characterEncoding=utf8&autoReconnect=true&failOverReadOnly=false" classOf[com.mysql.jdbc.Driver] val conn = DriverManager.getConnection(rl) val statement = conn.createStatement(ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_UPDATABLE) // CREATE TABLE words2(innersessionId VARCHAR(100),words VARCHAR(100), VARCHAR(100),posit VARCHAR(100),va VARCHAR(100)) try { val prep = conn.prepareStatement("INSERT INTO CsenticNetlayer2(words,attitude,expression,extreme,VALUE) VALUES (?,?,?,?,?) ") prep.setString(1, value0) prep.setString(2, value1) prep.setString(3, value2) prep.setString(4, value3) prep.setString(5, value4) prep.executeUpdate } catch { case e: Exception => e.printStackTrace } finally { // conn.close } } }}