头歌：共享单车之数据分析

第1关 统计共享单车每天的平均使用时间

package com.educoder.bigData.sharedbicycle;import java.io.IOException;
import java.text.ParseException;
import java.util.Collection;
import java.util.Date;
import java.util.HashMap;
import java.util.Locale;
import java.util.Map;
import java.util.Scanner;
import java.math.RoundingMode;
import java.math.BigDecimal;
import org.apache.commons.lang3.time.DateFormatUtils;
import org.apache.commons.lang3.time.FastDateFormat;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.DoubleWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.util.Tool;import com.educoder.bigData.util.HBaseUtil;/*** 统计共享单车每天的平均使用时间*/
public class AveragetTimeMapReduce extends Configured implements Tool {public static final byte[] family = "info".getBytes();public static class MyMapper extends TableMapper<Text, BytesWritable> {protected void map(ImmutableBytesWritable rowKey, Result result, Context context)throws IOException, InterruptedException {/********** Begin *********/long beginTime = Long.parseLong(Bytes.toString(result.getValue(family, "beginTime".getBytes())));long endTime = Long.parseLong(Bytes.toString(result.getValue(family, "endTime".getBytes())));String format = DateFormatUtils.format(beginTime, "yyyy-MM-dd", Locale.CHINA);long useTime = endTime - beginTime;BytesWritable bytesWritable = new BytesWritable(Bytes.toBytes(format + "_" + useTime));context.write(new Text("avgTime"), bytesWritable);		 /********** End *********/}}public static class MyTableReducer extends TableReducer<Text, BytesWritable, ImmutableBytesWritable> {@Overridepublic void reduce(Text key, Iterable<BytesWritable> values, Context context)throws IOException, InterruptedException {/********** Begin *********/double sum = 0;int length = 0;Map<String, Long> map = new HashMap<String, Long>();for (BytesWritable price : values) {byte[] copyBytes = price.copyBytes();String string = Bytes.toString(copyBytes);String[] split = string.split("_");if (map.containsKey(split[0])) {Long integer = map.get(split[0]) + Long.parseLong(split[1]);map.put(split[0], integer);} else {map.put(split[0], Long.parseLong(split[1]));}}Collection<Long> values2 = map.values();for (Long i : values2) {length++;sum += i;}BigDecimal decimal = new BigDecimal(sum / length /1000);BigDecimal setScale = decimal.setScale(2, RoundingMode.HALF_DOWN);Put put = new Put(Bytes.toBytes(key.toString()));put.addColumn(family, "avgTime".getBytes(), Bytes.toBytes(setScale.toString()));context.write(null, put);	 /********** End *********/}}public int run(String[] args) throws Exception {// 配置JobConfiguration conf = HBaseUtil.conf;// Scanner sc = new Scanner(System.in);// String arg1 = sc.next();// String arg2 = sc.next();String arg1 = "t_shared_bicycle";String arg2 = "t_bicycle_avgtime";try {HBaseUtil.createTable(arg2, new String[] { "info" });} catch (Exception e) {// 创建表失败e.printStackTrace();}Job job = configureJob(conf, new String[] { arg1, arg2 });return job.waitForCompletion(true) ? 0 : 1;}private Job configureJob(Configuration conf, String[] args) throws IOException {String tablename = args[0];String targetTable = args[1];Job job = new Job(conf, tablename);Scan scan = new Scan();scan.setCaching(300);scan.setCacheBlocks(false);// 在mapreduce程序中千万不要设置允许缓存// 初始化Mapreduce程序TableMapReduceUtil.initTableMapperJob(tablename, scan, MyMapper.class, Text.class, BytesWritable.class, job);// 初始化ReduceTableMapReduceUtil.initTableReducerJob(targetTable, // output tableMyTableReducer.class, // reducer classjob);job.setNumReduceTasks(1);return job;}
}

第2关 统计共享单车在指定地点的每天平均次数 

package com.educoder.bigData.sharedbicycle;import java.io.IOException;import java.math.BigDecimal;import java.math.RoundingMode;import java.util.ArrayList;import java.util.Collection;import java.util.HashMap;import java.util.Locale;import java.util.Map;import java.util.Scanner;import org.apache.commons.lang3.time.DateFormatUtils;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.conf.Configured;import org.apache.hadoop.hbase.CompareOperator;import org.apache.hadoop.hbase.client.Put;import org.apache.hadoop.hbase.client.Result;import org.apache.hadoop.hbase.client.Scan;import org.apache.hadoop.hbase.filter.BinaryComparator;import org.apache.hadoop.hbase.filter.Filter;import org.apache.hadoop.hbase.filter.FilterList;import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;import org.apache.hadoop.hbase.filter.SubstringComparator;import org.apache.hadoop.hbase.io.ImmutableBytesWritable;import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;import org.apache.hadoop.hbase.mapreduce.TableMapper;import org.apache.hadoop.hbase.mapreduce.TableReducer;import org.apache.hadoop.hbase.util.Bytes;import org.apache.hadoop.io.BytesWritable;import org.apache.hadoop.io.DoubleWritable;import org.apache.hadoop.io.Text;import org.apache.hadoop.mapreduce.Job;import org.apache.hadoop.util.Tool;import com.educoder.bigData.util.HBaseUtil;/*** 共享单车每天在韩庄村的平均空闲时间*/public class AverageVehicleMapReduce extends Configured implements Tool {public static final byte[] family = "info".getBytes();public static class MyMapper extends TableMapper<Text, BytesWritable> {protected void map(ImmutableBytesWritable rowKey, Result result, Context context)throws IOException, InterruptedException {/********** Begin *********/String beginTime = Bytes.toString(result.getValue(family, "beginTime".getBytes()));String format = DateFormatUtils.format(Long.parseLong(beginTime), "yyyy-MM-dd", Locale.CHINA);BytesWritable bytesWritable = new BytesWritable(Bytes.toBytes(format));context.write(new Text("河北省保定市雄县-韩庄村"), bytesWritable);/********** End *********/}}public static class MyTableReducer extends TableReducer<Text, BytesWritable, ImmutableBytesWritable> {@Overridepublic void reduce(Text key, Iterable<BytesWritable> values, Context context)throws IOException, InterruptedException {/********** Begin *********/double sum = 0;int length = 0;Map<String, Integer> map = new HashMap<String, Integer>();for (BytesWritable price : values) {byte[] copyBytes = price.copyBytes();String string = Bytes.toString(copyBytes);if (map.containsKey(string)) {Integer integer = map.get(string) + 1;map.put(string, integer);} else {map.put(string, new Integer(1));}}Collection<Integer> values2 = map.values();for (Integer i : values2) {length++;sum += i;}BigDecimal decimal = new BigDecimal(sum / length);BigDecimal setScale = decimal.setScale(2, RoundingMode. HALF_DOWN);Put put = new Put(Bytes.toBytes(key.toString()));put.addColumn(family, "avgNum".getBytes(), Bytes.toBytes(setScale.toString()));context.write(null, put);/********** End *********/}}public int run(String[] args) throws Exception {// 配置JobConfiguration conf = HBaseUtil.conf;//Scanner sc = new Scanner(System.in);//String arg1 = sc.next();//String arg2 = sc.next();String arg1 = "t_shared_bicycle";String arg2 = "t_bicycle_avgnum";try {HBaseUtil.createTable(arg2, new String[] { "info" });} catch (Exception e) {// 创建表失败e.printStackTrace();}Job job = configureJob(conf, new String[] { arg1, arg2 });return job.waitForCompletion(true) ? 0 : 1;}private Job configureJob(Configuration conf, String[] args) throws IOException {String tablename = args[0];String targetTable = args[1];Job job = new Job(conf, tablename);Scan scan = new Scan();scan.setCaching(300);scan.setCacheBlocks(false);// 在mapreduce程序中千万不要设置允许缓存/********** Begin *********///设置过滤ArrayList<Filter> listForFilters = new ArrayList<Filter>();Filter destinationFilter =new SingleColumnValueFilter(Bytes.toBytes("info"), Bytes.toBytes("destination"),CompareOperator.EQUAL, new SubstringComparator("韩庄村"));Filter departure = new SingleColumnValueFilter(Bytes.toBytes("info"), Bytes.toBytes("departure"),CompareOperator.EQUAL, Bytes.toBytes("河北省保定市雄县"));listForFilters.add(departure);listForFilters.add(destinationFilter);scan.setCaching(300);scan.setCacheBlocks(false);Filter filters = new FilterList(listForFilters);scan.setFilter(filters);/********** End *********/// 初始化Mapreduce程序TableMapReduceUtil.initTableMapperJob(tablename, scan, MyMapper.class, Text.class, BytesWritable.class, job);// 初始化ReduceTableMapReduceUtil.initTableReducerJob(targetTable, // output tableMyTableReducer.class, // reducer classjob);job.setNumReduceTasks(1);return job;}}

第3关 统计共享单车指定车辆每次使用的空闲平均时间 

package com.educoder.bigData.sharedbicycle;import java.io.IOException;import java.math.BigDecimal;import java.math.RoundingMode;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.conf.Configured;import org.apache.hadoop.hbase.CompareOperator;import org.apache.hadoop.hbase.client.Put;import org.apache.hadoop.hbase.client.Result;import org.apache.hadoop.hbase.client.Scan;import org.apache.hadoop.hbase.filter.Filter;import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;import org.apache.hadoop.hbase.io.ImmutableBytesWritable;import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;import org.apache.hadoop.hbase.mapreduce.TableMapper;import org.apache.hadoop.hbase.mapreduce.TableReducer;import org.apache.hadoop.hbase.util.Bytes;import org.apache.hadoop.io.BytesWritable;import org.apache.hadoop.io.Text;import org.apache.hadoop.mapreduce.Job;import org.apache.hadoop.util.Tool;import com.educoder.bigData.util.HBaseUtil;/*** * 统计5996共享单车每次使用的空闲平均时间*/public class FreeTimeMapReduce extends Configured implements Tool {public static final byte[] family = "info".getBytes();public static class MyMapper extends TableMapper<Text, BytesWritable> {protected void map(ImmutableBytesWritable rowKey, Result result, Context context)throws IOException, InterruptedException {/********** Begin *********/long beginTime = Long.parseLong(Bytes.toString(result.getValue(family, "beginTime".getBytes())));long endTime = Long.parseLong(Bytes.toString(result.getValue(family, "endTime".getBytes())));BytesWritable bytesWritable = new BytesWritable(Bytes.toBytes(beginTime + "_" + endTime));context.write(new Text("5996"), bytesWritable);      /********** End *********/}}public static class MyTableReducer extends TableReducer<Text, BytesWritable, ImmutableBytesWritable> {@Overridepublic void reduce(Text key, Iterable<BytesWritable> values, Context context)throws IOException, InterruptedException {/********** Begin *********/long freeTime = 0;long beginTime = 0;int length = 0;for (BytesWritable time : values) {byte[] copyBytes = time.copyBytes();String timeLong = Bytes.toString(copyBytes);String[] split = timeLong.split("_");if(beginTime == 0) {beginTime = Long.parseLong(split[0]);continue;}else {freeTime = freeTime + beginTime - Long.parseLong(split[1]);beginTime = Long.parseLong(split[0]);length ++;}}Put put = new Put(Bytes.toBytes(key.toString()));BigDecimal decimal = new BigDecimal(freeTime / length /1000 /60 /60);BigDecimal setScale = decimal.setScale(2, RoundingMode.HALF_DOWN);put.addColumn(family, "freeTime".getBytes(), Bytes.toBytes(setScale.toString()));context.write(null, put);/********** End *********/}}public int run(String[] args) throws Exception {// 配置JobConfiguration conf = HBaseUtil.conf;// Scanner sc = new Scanner(System.in);// String arg1 = sc.next();// String arg2 = sc.next();String arg1 = "t_shared_bicycle";String arg2 = "t_bicycle_freetime";try {HBaseUtil.createTable(arg2, new String[] { "info" });} catch (Exception e) {// 创建表失败e.printStackTrace();}Job job = configureJob(conf, new String[] { arg1, arg2 });return job.waitForCompletion(true) ? 0 : 1;}private Job configureJob(Configuration conf, String[] args) throws IOException {String tablename = args[0];String targetTable = args[1];Job job = new Job(conf, tablename);Scan scan = new Scan();scan.setCaching(300);scan.setCacheBlocks(false);// 在mapreduce程序中千万不要设置允许缓存/********** Begin *********///设置过滤条件Filter filter = new SingleColumnValueFilter(Bytes.toBytes("info"), Bytes.toBytes("bicycleId"), CompareOperator.EQUAL, Bytes.toBytes("5996"));scan.setFilter(filter); /********** End *********/// 初始化Mapreduce程序TableMapReduceUtil.initTableMapperJob(tablename, scan, MyMapper.class, Text.class, BytesWritable.class, job);// 初始化ReduceTableMapReduceUtil.initTableReducerJob(targetTable, // output tableMyTableReducer.class, // reducer classjob);job.setNumReduceTasks(1);return job;}}

第4关 统计指定时间共享单车使用次数

package com.educoder.bigData.sharedbicycle;import java.io.IOException;import java.util.ArrayList;import org.apache.commons.lang3.time.FastDateFormat;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.conf.Configured;import org.apache.hadoop.hbase.CompareOperator;import org.apache.hadoop.hbase.client.Put;import org.apache.hadoop.hbase.client.Result;import org.apache.hadoop.hbase.client.Scan;import org.apache.hadoop.hbase.filter.Filter;import org.apache.hadoop.hbase.filter.FilterList;import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;import org.apache.hadoop.hbase.io.ImmutableBytesWritable;import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;import org.apache.hadoop.hbase.mapreduce.TableMapper;import org.apache.hadoop.hbase.mapreduce.TableReducer;import org.apache.hadoop.hbase.util.Bytes;import org.apache.hadoop.io.IntWritable;import org.apache.hadoop.io.Text;import org.apache.hadoop.mapreduce.Job;import org.apache.hadoop.util.Tool;import com.educoder.bigData.util.HBaseUtil;/*** 共享单车使用次数统计*/public class UsageRateMapReduce extends Configured implements Tool {public static final byte[] family = "info".getBytes();public static class MyMapper extends TableMapper<Text, IntWritable> {protected void map(ImmutableBytesWritable rowKey, Result result, Context context)throws IOException, InterruptedException {/********** Begin *********/IntWritable doubleWritable = new IntWritable(1);context.write(new Text("departure"), doubleWritable);/********** End *********/}}public static class MyTableReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable> {@Overridepublic void reduce(Text key, Iterable<IntWritable> values, Context context)throws IOException, InterruptedException {/********** Begin *********/        int totalNum = 0;for (IntWritable num : values) {int d = num.get();totalNum += d;}Put put = new Put(Bytes.toBytes(key.toString()));put.addColumn(family, "usageRate".getBytes(), Bytes.toBytes(String.valueOf(totalNum)));context.write(null, put);/********** End *********/}}public int run(String[] args) throws Exception {// 配置JobConfiguration conf = HBaseUtil.conf;// Scanner sc = new Scanner(System.in);// String arg1 = sc.next();// String arg2 = sc.next();String arg1 = "t_shared_bicycle";String arg2 = "t_bicycle_usagerate";try {HBaseUtil.createTable(arg2, new String[] { "info" });} catch (Exception e) {// 创建表失败e.printStackTrace();}Job job = configureJob(conf, new String[] { arg1, arg2 });return job.waitForCompletion(true) ? 0 : 1;}private Job configureJob(Configuration conf, String[] args) throws IOException {String tablename = args[0];String targetTable = args[1];Job job = new Job(conf, tablename);ArrayList<Filter> listForFilters = new ArrayList<Filter>();FastDateFormat instance = FastDateFormat.getInstance("yyyy-MM-dd");Scan scan = new Scan();scan.setCaching(300);scan.setCacheBlocks(false);// 在mapreduce程序中千万不要设置允许缓存/********** Begin *********/try {Filter destinationFilter = new SingleColumnValueFilter(Bytes.toBytes("info"), Bytes.toBytes("beginTime"), CompareOperator.GREATER_OR_EQUAL, Bytes.toBytes(String.valueOf(instance.parse("2017-08-01").getTime())));Filter departure = new SingleColumnValueFilter(Bytes.toBytes("info"), Bytes.toBytes("endTime"), CompareOperator.LESS_OR_EQUAL, Bytes.toBytes(String.valueOf(instance.parse("2017-09-01").getTime())));listForFilters.add(departure);listForFilters.add(destinationFilter);}catch (Exception e) {e.printStackTrace();return null;}Filter filters = new FilterList(listForFilters);scan.setFilter(filters);/********** End *********/// 初始化Mapreduce程序TableMapReduceUtil.initTableMapperJob(tablename, scan, MyMapper.class, Text.class, IntWritable.class, job);// 初始化ReduceTableMapReduceUtil.initTableReducerJob(targetTable, // output tableMyTableReducer.class, // reducer classjob);job.setNumReduceTasks(1);return job;}}

 第5关 统计共享单车线路流量

package com.educoder.bigData.sharedbicycle;import java.io.IOException;import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.util.Tool;import com.educoder.bigData.util.HBaseUtil;/*** 共享单车线路流量统计*/
public class LineTotalMapReduce extends Configured implements Tool {public static final byte[] family = "info".getBytes();public static class MyMapper extends TableMapper<Text, IntWritable> {protected void map(ImmutableBytesWritable rowKey, Result result, Context context)throws IOException, InterruptedException {/********** Begin *********/String start_latitude = Bytes.toString(result.getValue(family, "start_latitude".getBytes()));String start_longitude = Bytes.toString(result.getValue(family, "start_longitude".getBytes()));String stop_latitude = Bytes.toString(result.getValue(family, "stop_latitude".getBytes()));String stop_longitude = Bytes.toString(result.getValue(family, "stop_longitude".getBytes()));String departure = Bytes.toString(result.getValue(family, "departure".getBytes()));String destination = Bytes.toString(result.getValue(family, "destination".getBytes()));IntWritable doubleWritable = new IntWritable(1);context.write(new Text(start_latitude + "-" + start_longitude + "_" + stop_latitude + "-" + stop_longitude + "_" + departure + "-" + destination), doubleWritable);/********** End *********/}}public static class MyTableReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable> {@Overridepublic void reduce(Text key, Iterable<IntWritable> values, Context context)throws IOException, InterruptedException {/********** Begin *********/int totalNum = 0;for (IntWritable num : values) {int d = num.get();totalNum += d;}Put put = new Put(Bytes.toBytes(key.toString() + totalNum ));put.addColumn(family, "lineTotal".getBytes(), Bytes.toBytes(String.valueOf(totalNum)));context.write(null, put);/********** End *********/}}public int run(String[] args) throws Exception {// 配置JobConfiguration conf = HBaseUtil.conf;// Scanner sc = new Scanner(System.in);// String arg1 = sc.next();// String arg2 = sc.next();String arg1 = "t_shared_bicycle";String arg2 = "t_bicycle_linetotal";try {HBaseUtil.createTable(arg2, new String[] { "info" });} catch (Exception e) {// 创建表失败e.printStackTrace();}Job job = configureJob(conf, new String[] { arg1, arg2 });return job.waitForCompletion(true) ? 0 : 1;}private Job configureJob(Configuration conf, String[] args) throws IOException {String tablename = args[0];String targetTable = args[1];Job job = new Job(conf, tablename);Scan scan = new Scan();scan.setCaching(300);scan.setCacheBlocks(false);// 在mapreduce程序中千万不要设置允许缓存// 初始化Mapreduce程序TableMapReduceUtil.initTableMapperJob(tablename, scan, MyMapper.class, Text.class, IntWritable.class, job);// 初始化ReduceTableMapReduceUtil.initTableReducerJob(targetTable, // output tableMyTableReducer.class, // reducer classjob);job.setNumReduceTasks(1);return job;}
}

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