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package com.example;
import com.example.helper.Stock;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.function.ForeachPartitionFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import scala.Tuple2;
import java.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
public class LoadToHBase implements Serializable {
private SparkSession spark = null;
private SparkConf conf = null;
public LoadToHBase() {
conf = new SparkConf()
.setAppName(getClass().getName())
.setIfMissing("spark.master", "local[*]")
.setIfMissing("spark.driver.memory", "4g");
spark = SparkSession.builder().config(conf).getOrCreate();
}
public Dataset<Row> loadCsv(String path) {
Dataset<Row> dataset = spark.read().option("inferSchema", true).option("header", true).csv(path);
return dataset;
}
private void saveStockRecords(Iterator<Stock> rows) {
Configuration configuration = HBaseConfiguration.create();
String path = LoadToHBase.class
.getClassLoader()
.getResource("hbase-site.xml")
.getPath();
configuration.addResource(new Path(path));
Table table = null;
Connection conn = null;
try {
conn = ConnectionFactory.createConnection(configuration);
table = conn.getTable(TableName.valueOf("ns1:stocks"));
List<Put> puts = new ArrayList<>();
int batchSize = 2000;
int count = 0;
while (rows.hasNext()) {
Stock stock = rows.next();
puts.add(stock.toPut());
if(puts.size() % batchSize == 0){
table.put(puts);
puts.clear();
}
++count;
}
table.put(puts);
System.out.println(String.format("Saving %d records", count));
table.close();
} catch (IOException ex) {
ex.printStackTrace();
} finally {
try {
conn.close();
}catch (IOException ex){
ex.printStackTrace();
}
}
}
private Stock rowToStock(Row row){
Stock stock = new Stock();
stock.setDate(row.getAs("date"));
stock.setOpen(row.getAs("open"));
stock.setClose(row.getAs("close"));
stock.setHigh(row.getAs("high"));
stock.setLow(row.getAs("low"));
stock.setClose(row.getAs("close"));
stock.setAdjclose(row.getAs("adjclose"));
stock.setVolume(row.getAs("volume"));
stock.setSymbol(row.getAs("symbol"));
return stock;
}
public void saveToHBase(String path) {
Dataset<Row> dataset = loadCsv(path).withColumn("date"
, functions.expr("cast(`date` as date) as `date`"));
Dataset<Stock> stockRows = dataset.map((MapFunction<Row, Stock>) row -> rowToStock(row), Encoders.bean(Stock.class));
stockRows.show();
stockRows.foreachPartition((ForeachPartitionFunction<Stock>) rows -> saveStockRecords(rows));
}
public void createHFiles(String path, String outputPath){
Dataset<Row> dataset = loadCsv(path).withColumn("date"
, functions.expr("cast(`date` as date) as `date`"));
Dataset<Stock> stockRows = dataset.map((MapFunction<Row, Stock>) row -> rowToStock(row), Encoders.bean(Stock.class));
stockRows.show();
JavaPairRDD<ImmutableBytesWritable, Put> pairRdd = stockRows.javaRDD().mapToPair(r ->
new Tuple2<>(r.toKey(), r.toPut()));
Configuration configuration = HBaseConfiguration.create();
String resourcePath = LoadToHBase.class
.getClassLoader()
.getResource("hbase-site.xml")
.getPath();
configuration.addResource(new Path(resourcePath));
configuration.set(TableOutputFormat.OUTPUT_TABLE, "ns1:stocks");
pairRdd.saveAsNewAPIHadoopFile(outputPath
, ImmutableBytesWritable.class
, Put.class
, TableOutputFormat.class
, configuration);
}
public Dataset<Row> sql(String statement){
return spark.sql(statement);
}
public void close(){
spark.close();
}
public static void main(String[] agrs) {
String path = "/data/stocks.csv";
LoadToHBase loadToHBase = new LoadToHBase();
/*
Dataset<Row> dataset = loadToHBase.loadCsv(path);
dataset.show();
dataset.filter("year(date) = 2016").groupBy("symbol").agg(functions.avg("volume")).show();
dataset.createOrReplaceTempView("stocks");
dataset.printSchema();
loadToHBase.sql("select symbol, avg(volume) from stocks where year(date) = 2016 group by symbol").show();
*/
loadToHBase.saveToHBase(path);
//loadToHBase.createHFiles(path, "/tmp/stocks_hfile");
loadToHBase.close();
}
}