Apache Hadoop YARN: The Nextgeneration Distributed Operating. System. Zhijie Shen & Jian He @ Hortonworks



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Transcription:

Apache Hadoop YARN: The Nextgeneration Distributed Operating System Zhijie Shen & Jian He @ Hortonworks

About Us Software Engineer @ Hortonworks, Inc. Hadoop Committer @ The Apache Foundation We re doing YARN!

Agenda What Is YARN YARN Framework Recent Development Writing Your YARN Applications

What Is YARN (1)

What Is YARN (2) Motivation: Flexibility - Enabling data processing model more than MapReduce Efficiency - Improving performance and QoS Resource Sharing - Multiple workloads in cluster

Agenda What Is YARN YARN Framework Recent Development Writing Your YARN Applications

YARN Framework (1) JobTracker-TaskTracker MapReduce Only Scalability 2009 8 cores, 16GB of RAM, 4x1TB disk 2012 16+ cores, 48-96GB of RAM, 12x2TB or 12x3TB of disk Poor Cluster Utilization distinct map slots and reduce slots

YARN Framework (2) RescourceManager: Arbitrates resources among all the applications in the system NodeManager: the per-machine slave, which is responsible for launching the applications containers, monitoring their resource usage ApplicationMaster: Negatiate appropriate resource containers from the Scheduler, tracking their status and monitoring for progress Container: Unit of allocation incorporating resource elements such as memory, cpu, disk, network etc, to execute a specific task of the application (similar to map/reduce slots in MRv1)

YARN Framework (3) Execution Sequence: 1. 2. 3. 4. 5. 6. 7. 8. A client program submits the application ResourceManager allocates a specified container to start the ApplicationMaster ApplicationMaster, on boot-up, registers with ResourceManager ApplicationMaster negotiates with ResourceManager for appropriate resource containers On successful container allocations, ApplicationMaster contacts NodeManager to launch the container Application code is executed within the container, and then ApplicationMaster is responded with the execution status During execution, the client communicates directly with ApplicationMaster or ResourceManager to get status, progress updates etc. Once the application is complete, ApplicationMaster unregisters with ResourceManager and shuts down, allowing its own container process

YARN Framework (4) Components interfacing RM to the clients: ClientRMService AdminService Components interacting with the per-application AMs: ApplicationMasterService Components connecting RM to the nodes: ResourceTrackerService Core of the ResourceManager ApplicationsManager Scheduler Security

YARN Framework (5) Component for NM-RM communication: NodeStatusUpdater Core component managing containers on the node: ContainerManager Component monitoring node health: NodeHealthCheckService Component interacting with OS to start/stop the container process: ContainerExecutor ACL and Token verification: Security

YARN Framework (7) Scheduler FIFO Fair Capcity

Agenda What Is YARN YARN Framework Recent Development Writing Your YARN Applications

Recent Development (1) ResourceManager High Availability RM is a single point of failure. Restart for various reasons: Bugs, hardware failures, deliberate downtime for upgrades Goal: transparent to users and no need to explicitly monitor such events and re-submit jobs. Overly complex in MRv1 for the fact that JobTracker has to save too much information: both cluster state and per-application running state. limitation: JobTracker dies meaning all the applications running-state are lost

Recent Development (2) ResourceManager Recovery RM Restart Phase 1 (Done): All running Applications are killed after RM restarts. RM Restart Phase 2: Applications are not killed and report running state back to RM after RM comes up. RM only saves application submission metadata and cluster-level status (eg: Secret keys, tokens) Each application is responsible for persisting and recovering its application-specific running state. MR job implements its own recovery mechanism by writing job-specific history data into a separate history file on HDFS

Recent Development (3) Pluggable state store: ZooKeeper, HDFS NM, AM, Clients retry and redirect using RM proxy

Recent Development (4) ResourceManager Failover Leader election (ZooKeeper) Transfer of resource-management authority to a newly elected leader. Clients (NM, AM, clients) redirect to the new RM abstracted by RMProxy.

Recent Development (5) Long Running Service - Work-preserving AM restart. - Work-preserving RM restart. - Work-preserving NM restart.

Recent Development (6) Application Historic Data Service ResourceManager records generic application information Application ApplicationAttempt Container ApplicationMaster writes framework specific information Free for users to define Multiple interfaces to inquiry the historic information RPC Web UI RESTful Services

Recent Development (7) Application History Data Service

Agenda What Is YARN YARN Framework Recent Development Writing Your YARN Applications

Writing Your YARN Applications (1) Client API ApplicationClientProtocol The protocol for a client that communicates wi ResourceManager submitapplication, getapplicationreport, killapplication, etc. YarnClient Library Wrapper over ApplicationClientProtocol to simplify usage

Writing Your YARN Applications (2) ApplicationMaster API ApplicationMasterProtocol The protocol used by ApplicationMaster to talk to ResourceManager registerapplicationmaster, finisapplicationmaster, allocate AMRMClient, AMRMClientAsync ContainerManagementProtocol The protocol used by ApplicationMaster to talk to NodeManager to startcontainers, stopcontainers, etc. NMClient, NMClientAsync

Writing Your YARN Applications (3) Example - Client: submitting an application... // Get the RPC stub ApplicationClientProtocol applicationsmanager = ((ApplicationClientProtocol) rpc.getproxy( ApplicationClientProtocol.class, rmaddress, appsmanagerserverconf)); // Assign an application ID GetNewApplicationRequest request = Records.newRecord(GetNewApplicationRequest.class); GetNewApplicationResponse response = applicationsmanager.getnewapplication(request);... // Create the request to send to the ApplicationsManager SubmitApplicationRequest apprequest = Records.newRecord(SubmitApplicationRequest.class); apprequest.setapplicationsubmissioncontext(appcontext); // Submit the application to ResourceManager applicationsmanager.submitapplication(apprequest);

Writing Your YARN Applications (4) Example - Client: getting an application report // Get an application report GetApplicationReportRequest reportrequest = Records.newRecord(GetApplicationReportRequest.class); reportrequest.setapplicationid(appid); GetApplicationReportResponse reportresponse = applicationsmanager.getapplicationreport(reportrequest); ApplicationReport report = reportresponse.getapplicationreport(); Example - Client: killing an application // Kill an application KillApplicationRequest killrequest = Records.newRecord(KillApplicationRequest.class); killrequest.setapplicationid(appid); applicationsmanager.forcekillapplication(killrequest);

Writing Your YARN Applications (5) Example - AM: registration // Get the RPC stub ApplicationMasterProtocol resourcemanager = (ApplicationMasterProtocol) rpc.getproxy(applicationmasterprotocol.class, rmaddress, conf); RegisterApplicationMasterRequest appmasterrequest = Records.newRecord(RegisterApplicationMasterRequest.class); // Set registration details... RegisterApplicationMasterResponse response = resourcemanager.registerapplicationmaster(appmasterrequest);

Writing Your YARN Applications (6) Example - AM: requesting containers List<ResourceRequest> requestedcontainers; List<ContainerId> releasedcontainers AllocateRequest req = Records.newRecord(AllocateRequest.class); // The response id set in the request will be sent back in // the response so that the ApplicationMaster can // match it to its original ask and act appropriately. req.setresponseid(rmrequestid); // Set ApplicationAttemptId req.setapplicationattemptid(appattemptid); // Add the list of containers being asked for req.addallasks(requestedcontainers); // Add the list of containers which the application don t need any more req.addallreleases(releasedcontainers); // Assuming the ApplicationMaster can track its progress req.setprogress(currentprogress); AllocateResponse allocateresponse = resourcemanager.allocate(req);

Writing Your YARN Applications (7) Examples - AM: Starting containers // Get the RPC stub ContainerManagementProtocol cm = (ContainerManager)rpc.getProxy(ContainerManagementProtocol.class, cmaddress, conf); // Now we setup a ContainerLaunchContext ContainerLaunchContext ctx = Records.newRecord(ContainerLaunchContext.class); // Send the start request to the ContainerManager StartContainerRequest startreq = Records.newRecord(StartContainerRequest.class); startreq.setcontainerlaunchcontext(ctx); cm.startcontainer(startreq);

http://hortonworks.com/labs/yarn/