多路输入输出示例__示例程序_MapReduce_大数据计算服务-阿里云
目前ODPS支持多表的输入及输出。
测试准备
(1)准备好测试程序jar包,假设名字为mapreduce-examples.jar;
(2)准备好多路输入输出的测试表和资源;
创建表
create table wc_in1(key string, value string);create table wc_in2(key string, value string);create table mr_multiinout_out1 (key string, cnt bigint);create table mr_multiinout_out2 (key string, cnt bigint) partitioned by (a string, b string);alter table mr_multiinout_out2 add partition (a='1', b='1');alter table mr_multiinout_out2 add partition (a='2', b='2');
添加资源
add jar mapreduce-examples.jar -f;
(3)使用tunnel导入数据;
tunnel upload data1 wc_in1;tunnel upload data2 wc_in2;
- 导入wc_in1表的数据文件data内容为:
hello,odps
- 导入wc_in2表的数据文件data内容为:
hello,world
测试步骤
在odpscmd中执行MultipleInOut
jar -resources mapreduce-examples.jar -classpath mapreduce-examples.jarcom.aliyun.odps.mapred.open.example.MultipleInOut wc_in1,wc_in2 mr_multiinout_out1,mr_multiinout_out2|a=1/b=1|out1,mr_multiinout_out2|a=2/b=2|out2;
预期结果
作业成功结束。mr_multiinout_out1中内容为:
+------------+------------+| key | cnt |+------------+------------+| default | 1 |+------------+------------+
mr_multiinout_out2中内容为:
+--------+------------+---+---+| key | cnt | a | b |+--------+------------+---+---+| odps | 1 | 1 | 1 || world | 1 | 1 | 1 || out1 | 1 | 1 | 1 || hello | 2 | 2 | 2 || out2 | 1 | 2 | 2 |+--------+------------+---+---+
代码示例
package com.aliyun.odps.mapred.open.example;import java.io.IOException;import java.util.Iterator;import java.util.LinkedHashMap;import com.aliyun.odps.data.Record;import com.aliyun.odps.data.TableInfo;import com.aliyun.odps.mapred.JobClient;import com.aliyun.odps.mapred.MapperBase;import com.aliyun.odps.mapred.ReducerBase;import com.aliyun.odps.mapred.TaskContext;import com.aliyun.odps.mapred.conf.JobConf;import com.aliyun.odps.mapred.utils.InputUtils;import com.aliyun.odps.mapred.utils.OutputUtils;import com.aliyun.odps.mapred.utils.SchemaUtils;/*** Multi input & output example.**/public class MultipleInOut {public static class TokenizerMapper extends MapperBase {Record word;Record one;@Overridepublic void setup(TaskContext context) throws IOException {word = context.createMapOutputKeyRecord();one = context.createMapOutputValueRecord();one.set(new Object[] { 1L });}@Overridepublic void map(long recordNum, Record record, TaskContext context)throws IOException {for (int i = 0; i < record.getColumnCount(); i++) {word.set(new Object[] { record.get(i).toString() });context.write(word, one);}}}public static class SumReducer extends ReducerBase {private Record result;private Record result1;private Record result2;@Overridepublic void setup(TaskContext context) throws IOException {result = context.createOutputRecord();result1 = context.createOutputRecord("out1");result2 = context.createOutputRecord("out2");}@Overridepublic void reduce(Record key, Iterator<Record> values, TaskContext context)throws IOException {long count = 0;while (values.hasNext()) {Record val = values.next();count += (Long) val.get(0);}long mod = count % 3;if (mod == 0) {result.set(0, key.get(0));result.set(1, count);//不指定label,输出的默认(default)输出context.write(result);} else if (mod == 1) {result1.set(0, key.get(0));result1.set(1, count);context.write(result1, "out1");} else {result2.set(0, key.get(0));result2.set(1, count);context.write(result2, "out2");}}@Overridepublic void cleanup(TaskContext context) throws IOException {Record result = context.createOutputRecord();result.set(0, "default");result.set(1, 1L);context.write(result);Record result1 = context.createOutputRecord("out1");result1.set(0, "out1");result1.set(1, 1L);context.write(result1, "out1");Record result2 = context.createOutputRecord("out2");result2.set(0, "out2");result2.set(1, 1L);context.write(result2, "out2");}}public static LinkedHashMap<String, String> convertPartSpecToMap(String partSpec) {LinkedHashMap<String, String> map = new LinkedHashMap<String, String>();if (partSpec != null && !partSpec.trim().isEmpty()) {String[] parts = partSpec.split("/");for (String part : parts) {String[] ss = part.split("=");if (ss.length != 2) {throw new RuntimeException("ODPS-0730001: error part spec format: "+ partSpec);}map.put(ss[0], ss[1]);}}return map;}public static void main(String[] args) throws Exception {String[] inputs = null;String[] outputs = null;if (args.length == 2) {inputs = args[0].split(",");outputs = args[1].split(",");} else {System.err.println("MultipleInOut in... out...");System.exit(1);}JobConf job = new JobConf();job.setMapperClass(TokenizerMapper.class);job.setReducerClass(SumReducer.class);job.setMapOutputKeySchema(SchemaUtils.fromString("word:string"));job.setMapOutputValueSchema(SchemaUtils.fromString("count:bigint"));//解析用户的输入表字符串for (String in : inputs) {String[] ss = in.split("\|");if (ss.length == 1) {InputUtils.addTable(TableInfo.builder().tableName(ss[0]).build(), job);} else if (ss.length == 2) {LinkedHashMap<String, String> map = convertPartSpecToMap(ss[1]);InputUtils.addTable(TableInfo.builder().tableName(ss[0]).partSpec(map).build(), job);} else {System.err.println("Style of input: " + in + " is not right");System.exit(1);}}//解析用户的输出表字符串for (String out : outputs) {String[] ss = out.split("\|");if (ss.length == 1) {OutputUtils.addTable(TableInfo.builder().tableName(ss[0]).build(), job);} else if (ss.length == 2) {LinkedHashMap<String, String> map = convertPartSpecToMap(ss[1]);OutputUtils.addTable(TableInfo.builder().tableName(ss[0]).partSpec(map).build(), job);} else if (ss.length == 3) {if (ss[1].isEmpty()) {LinkedHashMap<String, String> map = convertPartSpecToMap(ss[2]);OutputUtils.addTable(TableInfo.builder().tableName(ss[0]).partSpec(map).build(), job);} else {LinkedHashMap<String, String> map = convertPartSpecToMap(ss[1]);OutputUtils.addTable(TableInfo.builder().tableName(ss[0]).partSpec(map).label(ss[2]).build(), job);}} else {System.err.println("Style of output: " + out + " is not right");System.exit(1);}}JobClient.runJob(job);}}
最后更新:2016-09-22 10:05:19
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