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Giraph源碼分析啟動(dòng)ZooKeeper服務(wù)

來(lái)源:懂視網(wǎng) 責(zé)編:小采 時(shí)間:2020-11-09 15:12:56
文檔

Giraph源碼分析啟動(dòng)ZooKeeper服務(wù)

Giraph源碼分析啟動(dòng)ZooKeeper服務(wù):說(shuō)明: (1) 實(shí)驗(yàn)環(huán)境. 三臺(tái)服務(wù)器:test165、test62、test63。test165同時(shí)是JobTracker和TaskTracker. 測(cè)試?yán)樱汗倬W(wǎng)自帶的SSSP程序,數(shù)據(jù)是自己模擬生成。 運(yùn)行命令:hadoop jar giraph-examples-1.0.0-for-hadoop-0.2
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導(dǎo)讀Giraph源碼分析啟動(dòng)ZooKeeper服務(wù):說(shuō)明: (1) 實(shí)驗(yàn)環(huán)境. 三臺(tái)服務(wù)器:test165、test62、test63。test165同時(shí)是JobTracker和TaskTracker. 測(cè)試?yán)樱汗倬W(wǎng)自帶的SSSP程序,數(shù)據(jù)是自己模擬生成。 運(yùn)行命令:hadoop jar giraph-examples-1.0.0-for-hadoop-0.2

說(shuō)明: (1) 實(shí)驗(yàn)環(huán)境. 三臺(tái)服務(wù)器:test165、test62、test63。test165同時(shí)是JobTracker和TaskTracker. 測(cè)試?yán)樱汗倬W(wǎng)自帶的SSSP程序,數(shù)據(jù)是自己模擬生成。 運(yùn)行命令:hadoop jar giraph-examples-1.0.0-for-hadoop-0.20.203.0-jar-with-dependencies.jar o

說(shuō)明:

(1) 實(shí)驗(yàn)環(huán)境.

三臺(tái)服務(wù)器:test165、test62、test63。test165同時(shí)是JobTracker和TaskTracker.

測(cè)試?yán)樱汗倬W(wǎng)自帶的SSSP程序,數(shù)據(jù)是自己模擬生成。

運(yùn)行命令:hadoop jar giraph-examples-1.0.0-for-hadoop-0.20.203.0-jar-with-dependencies.jar org.apache.giraph.GiraphRunner org.apache.giraph.examples.SimpleShortestPathsVertex -vif org.apache.giraph.io.formats.JsonLongDoubleFloatDoubleVertexInputFormat -vip /user/giraph/SSSP -of org.apache.giraph.io.formats.IdWithValueTextOutputFormat -op /user/giraph/output-sssp-debug-7 -w 5

(2). 為節(jié)約空間,下文中所有代碼均為核心代碼片段。

(3). core-site.xml中hadoop.tmp.dir的路徑設(shè)為:/home/hadoop/hadooptmp

(4).寫本文是多次調(diào)試完成的,故文中的JobID不一樣,讀者可理解為同一JobID.

(5). 后續(xù)文章也遵循上述規(guī)則。

1. org.apache.giraph.graph.GraphMapper類

Giraph中自定義org.apache.giraph.graph.GraphMapper類來(lái)繼承Hadoop中的 org.apache.hadoop.mapreduce.Mapper類,覆寫了setup()、map()、cleanup()和run()方法。GraphMapper類的說(shuō)明如下:

This mapper that will execute the BSP graph tasks alloted to this worker. All tasks will be performed by calling the GraphTaskManager object managed by this GraphMapper wrapper classs. Since this mapper will not be passing data by key-value pairs through the MR framework, the Mapper parameter types are irrelevant, and set to Object type.

BSP的運(yùn)算邏輯被封裝在GraphMapper類中,其擁有一GraphTaskManager對(duì)象,用來(lái)管理Job的tasks。每個(gè)GraphMapper對(duì)象都相當(dāng)于BSP中的一個(gè)計(jì)算節(jié)點(diǎn)(compute node)。

在GraphMapper類中的setup()方法中,創(chuàng)建GraphTaskManager對(duì)象并調(diào)用其setup()方法進(jìn)行一些初始化工作。如下:

 @Override
 public void setup(Context context)
 throws IOException, InterruptedException {
 // Execute all Giraph-related role(s) assigned to this compute node.
 // Roles can include "master," "worker," "zookeeper," or . . . ?
 graphTaskManager = new GraphTaskManager(context);
 graphTaskManager.setup(
 DistributedCache.getLocalCacheArchives(context.getConfiguration()));
 }
map()方法為空,因?yàn)樗胁僮鞫急环庋b在了GraphTaskManager類中。在run()方法中調(diào)用GraphTaskManager對(duì)象的execute()方法進(jìn)行BSP迭代計(jì)算。
@Override
 public void run(Context context) throws IOException, InterruptedException {
 // Notify the master quicker if there is worker failure rather than
 // waiting for ZooKeeper to timeout and delete the ephemeral znodes
 try {
 setup(context);
 while (context.nextKeyValue()) {
 graphTaskManager.execute();
 }
 cleanup(context);
 // Checkstyle exception due to needing to dump ZooKeeper failure
 } catch (RuntimeException e) {
 graphTaskManager.zooKeeperCleanup();
 graphTaskManager.workerFailureCleanup();
 }
 }

2. org.apache.giraph.graph.GraphTaskManager 類

功能:The Giraph-specific business logic for a single BSP compute node in whatever underlying type of cluster our Giraph job will run on. Owning object will provide the glue into the underlying cluster framework and will call this object to perform Giraph work.

下面講述setup()方法,代碼如下。

 /**
 * Called by owner of this GraphTaskManager on each compute node
 * @param zkPathList the path to the ZK jars we need to run the job
 */
 public void setup(Path[] zkPathList) throws IOException, InterruptedException {
 context.setStatus("setup: Initializing Zookeeper services.");
 locateZookeeperClasspath(zkPathList);
 serverPortList = conf.getZookeeperList();
 if (serverPortList == null && startZooKeeperManager()) {
 return; // ZK connect/startup failed
 }
 if (zkManager != null && zkManager.runsZooKeeper()) {
 LOG.info("setup: Chosen to run ZooKeeper...");
 }
 context.setStatus("setup: Connected to Zookeeper service " +serverPortList);
 this.graphFunctions = determineGraphFunctions(conf, zkManager);
 instantiateBspService(serverPortList, sessionMsecTimeout);
 }
依次介紹每個(gè)方法的功能:

1) locateZookeeperClasspath(zkPathList):找到ZK jar的本地副本,其路徑為:/home/hadoop/hadooptmp/mapred/local/taskTracker/root/jobcache/job_201403270456_0001/jars/job.jar ,用于啟動(dòng)ZooKeeper服務(wù)。
2) startZooKeeperManager(),初始化和配置ZooKeeperManager。定義如下,

 /**
 * Instantiate and configure ZooKeeperManager for this job. This will
 * result in a Giraph-owned Zookeeper instance, a connection to an
 * existing quorum as specified in the job configuration, or task failure
 * @return true if this task should terminate
 */
 private boolean startZooKeeperManager()
 throws IOException, InterruptedException {
 zkManager = new ZooKeeperManager(context, conf);
 context.setStatus("setup: Setting up Zookeeper manager.");
 zkManager.setup();
 if (zkManager.computationDone()) {
 done = true;
 return true;
 }
 zkManager.onlineZooKeeperServers();
 serverPortList = zkManager.getZooKeeperServerPortString();
 return false;
 }

org.apache.giraph.zk.ZooKeeperManager 類,功能:Manages the election of ZooKeeper servers, starting/stopping the services, etc.

ZooKeeperManager類的setup()定義如下:

/**
 * Create the candidate stamps and decide on the servers to start if
 * you are partition 0.
 */
 public void setup() throws IOException, InterruptedException {
 createCandidateStamp();
 getZooKeeperServerList();
 }
createCandidateStamp()方法在 HDFS上 的_bsp/_defaultZkManagerDir/job_201403301409_0006/_task 目錄下為每個(gè)task創(chuàng)建一個(gè)文件,文件內(nèi)容為空。文件名為本機(jī)的Hostname+taskPartition,如下截圖:

\

運(yùn)行時(shí)指定了5個(gè)workers(-w 5),再加上一個(gè)master,所有上面有6個(gè)task。

getZooKeeperServerList()方法中,taskPartition為0的task會(huì)調(diào)用createZooKeeperServerList()方法創(chuàng)建ZooKeeper server List,也是創(chuàng)建一個(gè)空文件,通過(guò)文件名來(lái)描述Zookeeper servers。

\

createZooKeeperServerList核心代碼如下:

/**
 * Task 0 will call this to create the ZooKeeper server list. The result is
 * a file that describes the ZooKeeper servers through the filename.
 */
 private void createZooKeeperServerList() throws IOException,
 InterruptedException {
 Map hostnameTaskMap = Maps.newTreeMap();
 while (true) {
 FileStatus [] fileStatusArray = fs.listStatus(taskDirectory);
 hostnameTaskMap.clear();
 if (fileStatusArray.length > 0) {
 for (FileStatus fileStatus : fileStatusArray) { 
 String[] hostnameTaskArray =
 fileStatus.getPath().getName().split(HOSTNAME_TASK_SEPARATOR);
 
 if (!hostnameTaskMap.containsKey(hostnameTaskArray[0])) {
 hostnameTaskMap.put(hostnameTaskArray[0],
 new Integer(hostnameTaskArray[1]));
 }
 }
 if (hostnameTaskMap.size() >= serverCount) {
 break;
 }
 Thread.sleep(pollMsecs);
 }
 }
 }
首先獲取taskDirectory(_bsp/_defaultZkManagerDir/job_201403301409_0006/_task)目錄下文件,如果當(dāng)前目錄下有文件,則把文件名(Hostname+taskPartition)中的Hostname和taskPartition存入到hostNameTaskMap中。掃描taskDirectory目錄后,若hostNameTaskMap的size大于serverCount(等于GiraphConstants.java中的ZOOKEEPER_SERVER_COUNT變量,定義為1),就停止外層的循環(huán)。外層循環(huán)的目的是:因?yàn)閠askDirectory下的文件每個(gè)task文件時(shí)多個(gè)task在分布式條件下創(chuàng)建的,有可能task 0在此創(chuàng)建server List時(shí),別的task還沒(méi)有生成后task文件。Giraph默認(rèn)為每個(gè)Job啟動(dòng)一個(gè)ZooKeeper服務(wù),也就是說(shuō)只有一個(gè)task會(huì)啟動(dòng)ZooKeeper服務(wù)。

經(jīng)過(guò)多次測(cè)試,task 0總是被選為ZooKeeper Server ,因?yàn)樵谕贿M(jìn)程中,掃描taskDirectory時(shí),只有它對(duì)應(yīng)的task 文件(其他task的文件還沒(méi)有生成好),然后退出for循環(huán),發(fā)現(xiàn)hostNameTaskMap的size等于1,直接退出while循環(huán)。那么此處就選了test162 0。

最后,創(chuàng)建了文件:_bsp/_defaultZkManagerDir/job_201403301409_0006/zkServerList_test162 0

\

onlineZooKeeperServers(),根據(jù)zkServerList_test162 0文件,Task 0 先生成zoo.cfg配置文件,使用ProcessBuilder來(lái)創(chuàng)建ZooKeeper服務(wù)進(jìn)程,然后Task 0 再通過(guò)socket連接到ZooKeeper服務(wù)進(jìn)程上,最后創(chuàng)建文件 _bsp/_defaultZkManagerDir/job_201403301409_0006/_zkServer/test162 0 來(lái)標(biāo)記master任務(wù)已完成。worker一直在進(jìn)行循環(huán)檢測(cè)master是否生成好 _bsp/_defaultZkManagerDir/job_201403301409_0006/_zkServer/test162 0,即worker等待直到master上的ZooKeeper服務(wù)已經(jīng)啟動(dòng)完成。

啟動(dòng)ZooKeeper服務(wù)的命令如下:

\

3) determineGraphFunctions()。

GraphTaskManager類中有CentralizedServiceMaster對(duì)象和CentralizedServiceWorker 對(duì)象,分別對(duì)應(yīng)于master和worker。每個(gè)BSP compute node扮演的角色判定邏輯如下:

a) If not split master, everyone does the everything and/or running ZooKeeper.

b) If split master/worker, masters also run ZooKeeper

c) If split master/worker == true and giraph.zkList is set, the master will not instantiate a ZK instance, but will assume a quorum is already active on the cluster for Giraph to use.

該判定在GraphTaskManager 類中的靜態(tài)方法determineGraphFunctions()中定義,片段代碼如下:

 private static GraphFunctions determineGraphFunctions(
 ImmutableClassesGiraphConfiguration conf,
 ZooKeeperManager zkManager) {
 // What functions should this mapper do?
 if (!splitMasterWorker) {
 if ((zkManager != null) && zkManager.runsZooKeeper()) {
 functions = GraphFunctions.ALL;
 } else {
 functions = GraphFunctions.ALL_EXCEPT_ZOOKEEPER;
 }
 } else {
 if (zkAlreadyProvided) {
 int masterCount = conf.getZooKeeperServerCount();
 if (taskPartition < masterCount) {
 functions = GraphFunctions.MASTER_ONLY;
 } else {
 functions = GraphFunctions.WORKER_ONLY;
 }
 } else {
 if ((zkManager != null) && zkManager.runsZooKeeper()) {
 functions = GraphFunctions.MASTER_ZOOKEEPER_ONLY;
 } else {
 functions = GraphFunctions.WORKER_ONLY;
 }
 }
 }
 return functions;
 }

默認(rèn)的,Giraph會(huì)區(qū)分master和worker。會(huì)在master上面啟動(dòng)zookeeper服務(wù),不會(huì)在worker上啟動(dòng)ZooKeeper服務(wù)。那么Task 0 就是master+ZooKeeper,其他Tasks就是workers。

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文檔

Giraph源碼分析啟動(dòng)ZooKeeper服務(wù)

Giraph源碼分析啟動(dòng)ZooKeeper服務(wù):說(shuō)明: (1) 實(shí)驗(yàn)環(huán)境. 三臺(tái)服務(wù)器:test165、test62、test63。test165同時(shí)是JobTracker和TaskTracker. 測(cè)試?yán)樱汗倬W(wǎng)自帶的SSSP程序,數(shù)據(jù)是自己模擬生成。 運(yùn)行命令:hadoop jar giraph-examples-1.0.0-for-hadoop-0.2
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