日韩性视频-久久久蜜桃-www中文字幕-在线中文字幕av-亚洲欧美一区二区三区四区-撸久久-香蕉视频一区-久久无码精品丰满人妻-国产高潮av-激情福利社-日韩av网址大全-国产精品久久999-日本五十路在线-性欧美在线-久久99精品波多结衣一区-男女午夜免费视频-黑人极品ⅴideos精品欧美棵-人人妻人人澡人人爽精品欧美一区-日韩一区在线看-欧美a级在线免费观看

歡迎訪問 生活随笔!

生活随笔

當前位置: 首頁 > 编程资源 > 编程问答 >内容正文

编程问答

flink连接kafka整合hbase,scala

發布時間:2024/8/23 编程问答 33 豆豆
生活随笔 收集整理的這篇文章主要介紹了 flink连接kafka整合hbase,scala 小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

解析kafka當中的json格式的數據,入hbase

import java.util.Propertiesimport com.alibaba.fastjson.{JSON, JSONObject} import org.apache.flink.api.common.serialization.SimpleStringSchema import org.apache.flink.contrib.streaming.state.RocksDBStateBackend import org.apache.flink.streaming.api.CheckpointingMode import org.apache.flink.streaming.api.environment.CheckpointConfig import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment} import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011object IncrementOrder {def main(args: Array[String]): Unit = {val environment: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment//隱式轉換import org.apache.flink.api.scala._//checkpoint配置environment.enableCheckpointing(100);environment.getCheckpointConfig.setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);environment.getCheckpointConfig.setMinPauseBetweenCheckpoints(500);environment.getCheckpointConfig.setCheckpointTimeout(60000);environment.getCheckpointConfig.setMaxConcurrentCheckpoints(1);environment.getCheckpointConfig.enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);environment.setStateBackend(new RocksDBStateBackend("hdfs://node01:8020/flink_kafka/checkpoints",true));val props = new Propertiesprops.put("bootstrap.servers", "node01:9092")props.put("zookeeper.connect", "node01:2181")props.put("group.id", "flinkHouseGroup")props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")props.put("auto.offset.reset", "latest")props.put("flink.partition-discovery.interval-millis", "30000")val kafkaSource = new FlinkKafkaConsumer011[String]("flink_house",new SimpleStringSchema(),props)kafkaSource.setCommitOffsetsOnCheckpoints(true)//設置statebackendval result: DataStream[String] = environment.addSource(kafkaSource)val orderResult: DataStream[OrderObj] = result.map(x => {val jsonObj: JSONObject = JSON.parseObject(x)val database: AnyRef = jsonObj.get("database")val table: AnyRef = jsonObj.get("table")val `type`: AnyRef = jsonObj.get("type")val string: String = jsonObj.get("data").toStringOrderObj(database.toString,table.toString,`type`.toString,string)})orderResult.addSink(new HBaseSinkFunction)environment.execute()} } case class OrderObj(database:String,table:String,`type`:String,data:String) extends Serializable

定義插入數據到hbase的程序

import com.alibaba.fastjson.{JSON, JSONObject} import org.apache.flink.configuration.Configuration import org.apache.flink.streaming.api.functions.sink.{RichSinkFunction, SinkFunction} import org.apache.hadoop.conf import org.apache.hadoop.hbase.{HBaseConfiguration, TableName} import org.apache.hadoop.hbase.client._class HBaseSinkFunction extends RichSinkFunction[OrderObj]{var connection:Connection = _var hbTable:Table = _override def open(parameters: Configuration): Unit = {val configuration: conf.Configuration = HBaseConfiguration.create()configuration.set("hbase.zookeeper.quorum", "node01,node02,node03")configuration.set("hbase.zookeeper.property.clientPort", "2181")connection = ConnectionFactory.createConnection(configuration)hbTable = connection.getTable(TableName.valueOf("flink:data_orders"))}override def close(): Unit = {if(null != hbTable){hbTable.close()}if(null != connection){connection.close()}}def insertHBase(hbTable: Table, orderObj: OrderObj) = {val database: String = orderObj.databaseval table: String = orderObj.tableval value: String = orderObj.`type`val orderJson: JSONObject = JSON.parseObject(orderObj.data)val orderId: String = orderJson.get("orderId").toStringval orderNo: String = orderJson.get("orderNo").toStringval userId: String = orderJson.get("userId").toStringval goodId: String = orderJson.get("goodId").toStringval goodsMoney: String = orderJson.get("goodsMoney").toStringval realTotalMoney: String = orderJson.get("realTotalMoney").toStringval payFrom: String = orderJson.get("payFrom").toStringval province: String = orderJson.get("province").toStringval createTime: String = orderJson.get("createTime").toStringval put = new Put(orderId.getBytes())put.addColumn("f1".getBytes(),"orderNo".getBytes(),orderNo.getBytes())put.addColumn("f1".getBytes(),"userId".getBytes(),userId.getBytes())put.addColumn("f1".getBytes(),"goodId".getBytes(),goodId.getBytes())put.addColumn("f1".getBytes(),"goodsMoney".getBytes(),goodsMoney.getBytes())put.addColumn("f1".getBytes(),"realTotalMoney".getBytes(),realTotalMoney.getBytes())put.addColumn("f1".getBytes(),"payFrom".getBytes(),payFrom.getBytes())put.addColumn("f1".getBytes(),"province".getBytes(),province.getBytes())put.addColumn("f1".getBytes(),"createTime".getBytes(),createTime.getBytes()) /* * * */hbTable.put(put);}def deleteHBaseData(hbTable: Table, orderObj: OrderObj) = {val orderJson: JSONObject = JSON.parseObject(orderObj.data)val orderId: String = orderJson.get("orderId").toStringval delete = new Delete(orderId.getBytes())hbTable.delete(delete)}override def invoke(orderObj: OrderObj, context: SinkFunction.Context[_]): Unit = {val database: String = orderObj.databaseval table: String = orderObj.tableval typeResult: String = orderObj.`type`if(database.equalsIgnoreCase("product") && table.equalsIgnoreCase("kaikeba_orders")){if(typeResult.equalsIgnoreCase("insert")){//插入hbase數據insertHBase(hbTable,orderObj)}else if(typeResult.equalsIgnoreCase("update")){//更新hbase數據insertHBase(hbTable,orderObj)}else if(typeResult.equalsIgnoreCase("delete")){//刪除hbase數據deleteHBaseData(hbTable,orderObj)}}} }

總結

以上是生活随笔為你收集整理的flink连接kafka整合hbase,scala的全部內容,希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯,歡迎將生活随笔推薦給好友。