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FastIndex.java
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package com.didichuxing.datachannel.arius.fastindex;
import com.alibaba.fastjson.JSON;
import com.didichuxing.datachannel.arius.fastindex.mapreduce.FastIndexMapper;
import com.didichuxing.datachannel.arius.fastindex.mapreduce.FastIndexReducer;
import com.didichuxing.datachannel.arius.fastindex.metrics.MetricService;
import com.didichuxing.datachannel.arius.fastindex.remote.EnvEnum;
import com.didichuxing.datachannel.arius.fastindex.remote.RemoteService;
import com.didichuxing.datachannel.arius.fastindex.remote.config.IndexInfo;
import com.didichuxing.datachannel.arius.fastindex.remote.config.TaskConfig;
import com.didichuxing.datachannel.arius.fastindex.utils.HdfsUtil;
import com.didichuxing.datachannel.arius.fastindex.utils.LogUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.StringUtils;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.hive.hcatalog.data.DefaultHCatRecord;
import org.apache.hive.hcatalog.mapreduce.HCatInputFormat;
/*
* 入口函数，执行方式如下
* hadoop jar mr.jar com.didichuxing.datachannel.arius.fastindex.FastIndex ${taskConfig}
*/
public class FastIndex extends Configured implements Tool {
private static final String MAIN_CLASS = "FastIndex";
private TaskConfig taskConfig;
private IndexInfo indexInfo;
public static void main(String[] args) throws Exception {
LogUtils.info("FastIndex jar start running");
int res = ToolRunner.run(new FastIndex(), args);
System.exit(res);
}
@Override
public int run(String[] args) {
long startTime = System.currentTimeMillis();
try {
if (args.length != 1) {
LogUtils.info("param args > 1, lenght:" + args.length + ", args:" + StringUtils.join("#######", args));
}
StringBuilder sb = new StringBuilder();
for(int i=0; i<args.length; i++) {
sb.append(args[i]).append(" ");
}
// 解析taskConfig
String taskConfigStr = sb.toString();
LogUtils.info("taskConfig" + taskConfigStr);
taskConfig = TaskConfig.getTaskConfig(taskConfigStr);
taskConfig.check();
LogUtils.info("taskConfig" + JSON.toJSONString(taskConfig));
// 根据当前环境，配置server地址
RemoteService.setHost(EnvEnum.valueFrom(taskConfig.getEnv()), taskConfig.getSrcTag());
// 如果任务已经结束，则清理finish标识，重新执行
if(RemoteService.loadDataIsFinish(taskConfig.getEsTemplate(), taskConfig.getTime())) {
LogUtils.info("remove template finish tag, template:" + taskConfig.getEsTemplate() + ", time:" + taskConfig.getTime());
RemoteService.removeFinishTag(taskConfig.getEsTemplate(), taskConfig.getTime());
// es需要时间刷新
Thread.sleep(10000);
}
if(RemoteService.loadDataIsFinish(taskConfig.getEsTemplate(), taskConfig.getTime())) {
throw new Exception("template finish, template:" + taskConfig.getEsTemplate() + ", time:" + taskConfig.getTime());
}
// 配置hadoop用户名，密码
// FIXME 滴滴内部策略，需要修改成对应hadoop初始化逻辑
System.setProperty("HADOOP_USER_NAME", taskConfig.getUser());
System.setProperty("HADOOP_USER_PASSWORD", taskConfig.getPasswd());
// 清理hdfs上的相关文件
HdfsUtil.deleteDir(new Configuration(), taskConfig.getHdfsOutputPath());
// 获得索引配置信息
indexInfo = RemoteService.getIndexConfig(taskConfig.getEsTemplate(), taskConfig.getTime(), taskConfig.getHdfsSize());
indexInfo.check(taskConfig);
// 执行mr任务
Configuration conf = getHdfsConfig();
Job job = getHdfsJob(conf);
startGetJobIdThread(job);
LogUtils.info("################ MapReduce start, job name:" + job.getJobName());
boolean res = job.waitForCompletion(true);
if (res) {
LogUtils.info("################ MapReduce success, job id:" + job.getJobID() + ", result:" + res);
LogUtils.info("################ LoadDataToES start");
// mr任务完成支持，Lucene文件在taskConfig.getHdfsESOutputPath()目录中，触发数据加载任务，把数据加载到ES中
String ret = RemoteService.startLoadData(taskConfig.getEsTemplate(), taskConfig.getTime(), taskConfig.getHdfsESOutputPath(),
indexInfo.getExpanfactor(), taskConfig.getUser(), taskConfig.getPasswd());
LogUtils.info("start load data, ret:" + ret);
if(ret==null) {
throw new Exception("start load data error");
}
// 等待加载任务完成
waitForFinish();
LogUtils.info("################ LoadDataToES finish");
// 清理数据，防止hdfs出现文件过多的情况
HdfsUtil.deleteDir(new Configuration(), taskConfig.getHdfsOutputPath());
// 提交当前reducer的metric信息
MetricService.sendMetric(taskConfig, startTime, System.currentTimeMillis());
LogUtils.info("################ Arius FastIndex finish");
return 0;
} else {
HdfsUtil.deleteDir(new Configuration(), taskConfig.getHdfsOutputPath());
String info = "################ MapReduce failed, job id:" + job.getJobID();
LogUtils.error(info);
MetricService.sendError(taskConfig, info);
return -1;
}
} catch (Throwable t) {
LogUtils.error("fast index catch exception, msg:" + t.getMessage(), t);
MetricService.sendError(taskConfig, t);
return -1;
}
}
// 配置mr参数
private Job getHdfsJob(Configuration conf) throws Exception {
Job job = Job.getInstance(conf, MAIN_CLASS);
job.setJobName("AriusFastIndex_" + taskConfig.getEsTemplate());
job.setJarByClass(FastIndex.class);
job.setMapperClass(FastIndexMapper.class);
job.setInputFormatClass(HCatInputFormat.class);
job.setMapOutputKeyClass(IntWritable.class);
job.setMapOutputValueClass(DefaultHCatRecord.class);
HCatInputFormat.setInput(job, taskConfig.getHiveDB(), taskConfig.getHiveTable(), taskConfig.getFilterStr());
job.setReducerClass(FastIndexReducer.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(NullWritable.class);
job.setNumReduceTasks(indexInfo.getReduceNum());
job.setOutputFormatClass(TextOutputFormat.class);
FileOutputFormat.setOutputPath(job, new Path(taskConfig.getHdfsMROutputPath()));
return job;
}
// 配置mr参数
private Configuration getHdfsConfig() {
Configuration conf = getConf();
conf.set(TaskConfig.TASKCONFIG, JSON.toJSONString(taskConfig));
conf.set(IndexInfo.TEMPLATE_CONFIG, JSON.toJSONString(indexInfo));
conf.setBoolean("mapreduce.map.output.compress", true); //设置map输出压缩
conf.setClass(Job.MAP_OUTPUT_COMPRESS_CODEC, GzipCodec.class, CompressionCodec.class);
conf.set("mapreduce.user.classpath.first", "true"); //设置优先使用用户classpath
conf.set("mapred.task.timeout", "8000000"); //毫秒, 默认10分钟, 加长是防止copy es数据时间过短
conf.set("mapreduce.map.memory.mb", "6144"); // 单个map任务最多6G
conf.set("mapreduce.reduce.memory.mb", "15360"); // 单个reducer任务最多15G
conf.set("mapreduce.map.java.opts", "-Xmx4096m");
conf.set("mapreduce.reduce.java.opts", "-Xmx2048m");
conf.set("mapreduce.map.cpu.vcores", "4");
conf.set("mapreduce.reduce.cpu.vcores", "6");
// 关闭MR推测执行策略
conf.setBoolean("mapreduce.map.speculative", false);
conf.setBoolean("mapreduce.reduce.speculative", false);
conf.set("mapreduce.job.running.map.limit", "1000");
conf.set("mapreduce.job.running.reduce.limit", "2500"); //调大reduce同时执行个数
conf.set("mapreduce.task.io.sort.mb", "1024");
conf.set("dfs.datanode.max.transfer.threads", "8192");
conf.set("mapreduce.tasktracker.http.threads", "1000");
conf.set("mapreduce.shuffle.max.threads", "50");
conf.set("mapreduce.reduce.shuffle.parallelcopies", "500");
conf.set("mapreduce.task.io.sort.factor", "500");
conf.set("mapreduce.job.reduce.slowstart.completedmaps", "0.01");
conf.set("dfs.datanode.handler.count", "20");
conf.set("yarn.app.mapreduce.am.resource.mb", "8192");
conf.set("yarn.app.mapreduce.am.command-opts", "-Djava.net.preferIPv4Stack=true -Xmx8192m -Xms8192m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+PrintGCTimeStamps");
conf.set("mapreduce.map.maxattempts", "4");
conf.set("mapred.job.queue.name", taskConfig.getMrqueue());
return conf;
}
/* 获得mr任务的jobId */
private void startGetJobIdThread(Job job) {
Thread thread = new Thread(new Runnable() {
@Override
public void run() {
while(true) {
if(job.getJobID()!=null) {
LogUtils.info("map reducer jobId:" + job.getJobID());
break;
}
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
});
thread.setDaemon(true);
thread.setName("getJobId");
thread.start();
}
/* 等待数据加载任务结束 */
private void waitForFinish() throws Exception {
int i=3*60;
while (i>0) {
i--;
if(RemoteService.loadDataIsFinish(taskConfig.getEsTemplate(), taskConfig.getTime())) {
return;
}
try {
Thread.sleep(60 * 1000);
} catch (Throwable t) {
LogUtils.error(t.getMessage(), t);
}
}
throw new Exception("wait for load data finish time out");
}
}