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Scala 练习一 将Mysql表数据导入HBase
续第一篇：Java代码将Mysql表数据导入HBase表
源码仓库地址：https://gitee.com/leaf-domain/data-to-hbase
- 一、整体介绍
- 二、依赖
- 三、测试结果
- 四、源码
一、整体介绍
-
HBase特质连接HBase, 创建HBase执行对象
- 初始化配置信息：多条(hbase.zookeeper.quorum=>ip:2181)
Configuration conf = HBaseConfiguration.create()
conf.set(String, String) - 创建连接：多个连接(池化)
Connection con = ConnectionFactory.createConnection() - 创建数据表：表名: String
Table table = con.getTable(TableName)
def build(): HBase // 初始化配置信息 def initPool(): HBase // 初始化连接池 def finish(): Executor // 完成 返回执行对象 - 初始化配置信息：多条(hbase.zookeeper.quorum=>ip:2181)
-
Executor特质对HBase进行操作的方法: 包含如下函数
def exists(tableName: String): Boolean // 验证数据表是否存在 def create(tableName: String, columnFamilies: Seq[String]): Boolean // 创建数据表 def drop(tableName: String): Boolean // 删除数据表 def put(tableName: String, data: util.List[Put]): Boolean // 批量插入数据 -
Jdbc封装Jdbc封装
- 初始化连接
driver : com.mysql.cj.jdbc.Driver
参数：url, username, password
创建连接 - 初始化执行器
sql, parameters
创建执行器【初始化参数】 - 执行操作并返回【结果】
DML: 返回影响数据库表行数
DQL: 返回查询的数据集合
EX: 出现异常结果
- 初始化连接
-
MyHBase用于实现HBase和Executor特质 -
测试数据格式
mysql表
SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0;DROP TABLE IF EXISTS `test_table_for_hbase`; CREATE TABLE `test_table_for_hbase` (`test_id` int NULL DEFAULT NULL,`test_name` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,`test_age` int NULL DEFAULT NULL,`test_gender` varchar(6) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL,`test_phone` varchar(11) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;INSERT INTO `test_table_for_hbase` VALUES (1, 'testName1', 26, 'male', '18011111112'); INSERT INTO `test_table_for_hbase` VALUES (2, 'testName2', 25, 'female', '18011111113'); INSERT INTO `test_table_for_hbase` VALUES (3, 'testName3', 27, 'male', '18011111114'); INSERT INTO `test_table_for_hbase` VALUES (4, 'testName4', 35, 'male', '18011111115'); -- .... 省略以下数据部分hbase表
# 创建表 库名:表名, 列族1, 列族2 create "hbase_test:tranfer_from_mysql","baseInfo","scoreInfo" truncate 'hbase_test:tranfer_from_mysql' # 清空hbase_test命名空间下的tranfer_from_mysql表 scan 'hbase_test:tranfer_from_mysql' # 查看表
二、依赖
<dependencies><!-- HBase 驱动 --><dependency><groupId>org.apache.hbase</groupId><artifactId>hbase-client</artifactId><version>2.3.5</version></dependency><!-- Hadoop --><dependency><groupId>org.apache.hadoop</groupId><artifactId>hadoop-common</artifactId><version>3.1.3</version></dependency><dependency><groupId>org.apache.hadoop</groupId><artifactId>hadoop-auth</artifactId><version>3.1.3</version></dependency><!-- mysql --><dependency><groupId>com.mysql</groupId><artifactId>mysql-connector-j</artifactId><version>8.0.33</version></dependency><!-- zookeeper --><dependency><groupId>org.apache.zookeeper</groupId><artifactId>zookeeper</artifactId><version>3.6.3</version></dependency>
</dependencies>
三、测试结果
终端有个日志的小警告(无伤大雅hh)，输出为 true
查看hbase表，发现数据正常导入
四、源码
scala代码较简单这里直接上源码了，去除了部分注释，更多请去仓库下载
Executor
package hbase
import org.apache.hadoop.hbase.client.Put
import java.util
trait Executor {def exists(tableName: String): Booleandef create(tableName: String, columnFamilies: Seq[String]): Booleandef drop(tableName: String): Booleandef put(tableName: String, data: util.List[Put]): Boolean
}HBase
package hbase
import org.apache.hadoop.hbase.client.Connection
trait HBase {protected var statusCode: Int = -1def build(): HBasecase class PoolCon(var available: Boolean, con: Connection) {def out = {available = falsethis}def in = available = true}def initPool(): HBasedef finish(): Executor
}
MyHBase
package hbase.implimport hbase.{Executor, HBase}
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.hbase.client.{ColumnFamilyDescriptorBuilder, ConnectionFactory, Put, TableDescriptorBuilder}
import org.apache.hadoop.hbase.exceptions.HBaseException
import org.apache.hadoop.hbase.{HBaseConfiguration, TableName}import java.util
import scala.collection.mutable.ArrayBufferclass MyHBase (conf: Map[String, String])(pooled: Boolean = false, poolSize: Int = 3) extends HBase{private lazy val config: Configuration = HBaseConfiguration.create()private lazy val pool: ArrayBuffer[PoolCon] = ArrayBuffer()override def build(): HBase = {if(statusCode == -1){conf.foreach(t => config.set(t._1, t._2))statusCode = 0this}else{throw new HBaseException("build() function must be invoked first")}}override def initPool(): HBase = {if(statusCode == 0){val POOL_SIZE = if (pooled) {if (poolSize <= 0) 3 else poolSize} else 1for (i <- 1 to POOL_SIZE) {pool.append(PoolCon(available = true, ConnectionFactory.createConnection(config)))}statusCode = 1this}else{throw new HBaseException("initPool() function must be invoked only after build()")}}override def finish(): Executor = {if (statusCode == 1) {statusCode = 2new Executor {override def exists(tableName: String): Boolean = {var pc: PoolCon = nulltry{pc = getConval exists = pc.con.getAdmin.tableExists(TableName.valueOf(tableName))pc.inexists}catch {case e: Exception => e.printStackTrace()false}finally {close(pc)}}override def create(tableName: String, columnFamilies: Seq[String]): Boolean = {if (exists(tableName)) {return false}var pc: PoolCon = nulltry {pc = getConval builder: TableDescriptorBuilder = TableDescriptorBuilder.newBuilder(TableName.valueOf(tableName))columnFamilies.foreach(cf => builder.setColumnFamily(ColumnFamilyDescriptorBuilder.of(cf)))pc.con.getAdmin.createTable(builder.build())true} catch {case e: Exception => e.printStackTrace()false} finally {close(pc)}}override def drop(tableName: String): Boolean = {if(!exists(tableName)){return false}var pc: PoolCon = nulltry {pc = getConpc.con.getAdmin.deleteTable(TableName.valueOf(tableName))true} catch {case e: Exception => e.printStackTrace()false} finally {close(pc)}}override def put(tableName: String, data: util.List[Put]): Boolean = {if(!exists(tableName)){return false}var pc: PoolCon = nulltry {pc = getConpc.con.getTable(TableName.valueOf(tableName)).put(data)true} catch {case e: Exception => e.printStackTrace()false} finally {close(pc)}}}}else {throw new HBaseException("finish() function must be invoked only after initPool()")}}private def getCon = {val left: ArrayBuffer[PoolCon] = pool.filter(_.available)if (left.isEmpty) {throw new HBaseException("no available connection")}left.apply(0).out}private def close(con: PoolCon) = {if (null != con) {con.in}}
}object MyHBase{def apply(conf: Map[String, String])(poolSize: Int): MyHBase = new MyHBase(conf)(true, poolSize)
}Jdbc
package mysql
import java.sql.{Connection, DriverManager, ResultSet, SQLException}
import java.util
object Jdbc {object Result extends Enumeration {val EX = Value(0) val DML = Value(1) val DQL = Value(2) }// 3种结果(异常，DML，DQL)封装case class ResThree(rst: Result.Value) {def to[T <: ResThree]: T = this.asInstanceOf[T]}class Ex(throwable: Throwable) extends ResThree(Result.EX)object Ex {def apply(throwable: Throwable): Ex = new Ex(throwable)}class Dml(affectedRows: Int) extends ResThree(Result.DML) {def update = affectedRows}object Dml {def apply(affectedRows: Int): Dml = new Dml(affectedRows)}class Dql(set: ResultSet) extends ResThree(Result.DQL) {def generate[T](f: ResultSet => T) = {val list: util.List[T] = new util.ArrayList()while (set.next()) {list.add(f(set))}list}}object Dql {def apply(set: ResultSet): Dql = new Dql(set)}// JDBC 函数封装def jdbc(url: String, user: String, password: String)(sql: String, params: Seq[Any] = null): ResThree = {def con() = {// 1.1 显式加载 JDBC 驱动程序（只需要一次）Class.forName("com.mysql.cj.jdbc.Driver")// 1.2 创建连接对象DriverManager.getConnection(url, user, password)}def pst(con: Connection) = {// 2.1 创建执行对象val pst = con.prepareStatement(sql)// 2.2 初始化 SQL 参数if (null != params && params.nonEmpty) {params.zipWithIndex.foreach(t => pst.setObject(t._2 + 1, t._1))}pst}try {val connect = con()val prepared = pst(connect)sql match {case sql if sql.matches("^(insert|INSERT|delete|DELETE|update|UPDATE) .*")=> Dml(prepared.executeUpdate())case sql if sql.matches("^(select|SELECT) .*")=> Dql(prepared.executeQuery())case _ => Ex(new SQLException(s"illegal sql command : $sql"))}} catch {case e: Exception => Ex(e)}}}
Test
import hbase.impl.MyHBase
import mysql.Jdbc._
import org.apache.hadoop.hbase.client.Put
import org.apache.hadoop.hbase.util.Bytes
import java.utilobject Test {def main(args: Array[String]): Unit = {// 初始化MySQL JDBC操作函数val jdbcOpr: (String, Seq[Any]) => ResThree = jdbc(user = "root",url = "jdbc:mysql://localhost:3306/test_db_for_bigdata",password = "123456")// 执行SQL查询，并将结果封装在ResThree对象中val toEntity: ResThree = jdbcOpr("select * from test_table_for_hbase where test_id between ? and ?",Seq(2, 4))// 判断ResThree对象中的结果是否为异常if (toEntity.rst == Result.EX) {// 如果异常，执行异常结果处理toEntity.to[Ex]println("出现异常结果处理")} else {// 如果没有异常，将查询结果转换为HBase的Put对象列表val puts: util.List[Put] = toEntity.to[Dql].generate(rst => {// 创建一个Put对象，表示HBase中的一行val put = new Put(Bytes.toBytes(rst.getInt("test_id")), // row key设置为test_idSystem.currentTimeMillis() // 设置时间戳)// 向Put对象中添加列值// baseInfo是列族名，test_name、test_age、test_gender、test_phone是列名put.addColumn(Bytes.toBytes("baseInfo"), Bytes.toBytes("test_name"),Bytes.toBytes(rst.getString("test_name")))put.addColumn(Bytes.toBytes("baseInfo"), Bytes.toBytes("test_age"),Bytes.toBytes(rst.getString("test_age")) // 注意：这里假设test_age是字符串类型，但通常应为整数类型)put.addColumn(Bytes.toBytes("baseInfo"), Bytes.toBytes("test_gender"),Bytes.toBytes(rst.getString("test_gender")))put.addColumn(Bytes.toBytes("baseInfo"), Bytes.toBytes("test_phone"),Bytes.toBytes(rst.getString("test_phone")))// 返回构建好的Put对象put})// 如果有数据需要插入HBaseif (puts.size() > 0) {// 初始化HBase连接池并执行Put操作val exe = MyHBase(Map("hbase.zookeeper.quorum" -> "single01:2181"))(1).build().initPool().finish()// 执行Put操作，并返回是否成功val bool = exe.put("hbase_test:tranfer_from_mysql", puts)// 打印操作结果println(bool)} else {// 如果没有数据需要插入println("查无数据")}}}
}