Factory to create client IPC classes. yarn.ipc.client.factory.class Type of serialization to use. yarn.ipc.serializer.type protocolbuffers Factory to create server IPC classes. yarn.ipc.server.factory.class Factory to create IPC exceptions. yarn.ipc.exception.factory.class Factory to create serializeable records. yarn.ipc.record.factory.class RPC class implementation yarn.ipc.rpc.class org.apache.hadoop.yarn.ipc.HadoopYarnProtoRPC The hostname of the RM. yarn.resourcemanager.hostname 0.0.0.0 The address of the applications manager interface in the RM. yarn.resourcemanager.address ${yarn.resourcemanager.hostname}:8032 The number of threads used to handle applications manager requests. yarn.resourcemanager.client.thread-count 50 The expiry interval for application master reporting. yarn.am.liveness-monitor.expiry-interval-ms 600000 The Kerberos principal for the resource manager. yarn.resourcemanager.principal The address of the scheduler interface. yarn.resourcemanager.scheduler.address ${yarn.resourcemanager.hostname}:8030 Number of threads to handle scheduler interface. yarn.resourcemanager.scheduler.client.thread-count 50 This configures the HTTP endpoint for Yarn Daemons.The following values are supported: - HTTP_ONLY : Service is provided only on http - HTTPS_ONLY : Service is provided only on https yarn.http.policy HTTP_ONLY The http address of the RM web application. yarn.resourcemanager.webapp.address ${yarn.resourcemanager.hostname}:8088 The https adddress of the RM web application. yarn.resourcemanager.webapp.https.address ${yarn.resourcemanager.hostname}:8090 yarn.resourcemanager.resource-tracker.address ${yarn.resourcemanager.hostname}:8031 Are acls enabled. yarn.acl.enable false ACL of who can be admin of the YARN cluster. yarn.admin.acl * The address of the RM admin interface. yarn.resourcemanager.admin.address ${yarn.resourcemanager.hostname}:8033 Number of threads used to handle RM admin interface. yarn.resourcemanager.admin.client.thread-count 1 How often should the RM check that the AM is still alive. yarn.resourcemanager.amliveliness-monitor.interval-ms 1000 Maximum time to wait to establish connection to ResourceManager. yarn.resourcemanager.connect.max-wait.ms 900000 How often to try connecting to the ResourceManager. yarn.resourcemanager.connect.retry-interval.ms 30000 The maximum number of application attempts. It's a global setting for all application masters. Each application master can specify its individual maximum number of application attempts via the API, but the individual number cannot be more than the global upper bound. If it is, the resourcemanager will override it. The default number is set to 2, to allow at least one retry for AM. yarn.resourcemanager.am.max-attempts 2 How often to check that containers are still alive. yarn.resourcemanager.container.liveness-monitor.interval-ms 600000 The keytab for the resource manager. yarn.resourcemanager.keytab /etc/krb5.keytab How long to wait until a node manager is considered dead. yarn.nm.liveness-monitor.expiry-interval-ms 600000 How often to check that node managers are still alive. yarn.resourcemanager.nm.liveness-monitor.interval-ms 1000 Path to file with nodes to include. yarn.resourcemanager.nodes.include-path Path to file with nodes to exclude. yarn.resourcemanager.nodes.exclude-path Number of threads to handle resource tracker calls. yarn.resourcemanager.resource-tracker.client.thread-count 50 The class to use as the resource scheduler. yarn.resourcemanager.scheduler.class org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler The minimum allocation for every container request at the RM, in MBs. Memory requests lower than this won't take effect, and the specified value will get allocated at minimum. yarn.scheduler.minimum-allocation-mb 1024 The maximum allocation for every container request at the RM, in MBs. Memory requests higher than this won't take effect, and will get capped to this value. yarn.scheduler.maximum-allocation-mb 8192 The minimum allocation for every container request at the RM, in terms of virtual CPU cores. Requests lower than this won't take effect, and the specified value will get allocated the minimum. yarn.scheduler.minimum-allocation-vcores 1 The maximum allocation for every container request at the RM, in terms of virtual CPU cores. Requests higher than this won't take effect, and will get capped to this value. yarn.scheduler.maximum-allocation-vcores 32 Enable RM to recover state after starting. If true, then yarn.resourcemanager.store.class must be specified. yarn.resourcemanager.recovery.enabled false The class to use as the persistent store. If org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore is used, the store is implicitly fenced; meaning a single ResourceManager is able to use the store at any point in time. More details on this implicit fencing, along with setting up appropriate ACLs is discussed under yarn.resourcemanager.zk-state-store.root-node.acl. yarn.resourcemanager.store.class org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore The maximum number of completed applications RM state store keeps, less than or equals to ${yarn.resourcemanager.max-completed-applications}. By default, it equals to ${yarn.resourcemanager.max-completed-applications}. This ensures that the applications kept in the state store are consistent with the applications remembered in RM memory. Any values larger than ${yarn.resourcemanager.max-completed-applications} will be reset to ${yarn.resourcemanager.max-completed-applications}. Note that this value impacts the RM recovery performance.Typically, a smaller value indicates better performance on RM recovery. yarn.resourcemanager.state-store.max-completed-applications ${yarn.resourcemanager.max-completed-applications} Host:Port of the ZooKeeper server to be used by the RM. This must be supplied when using the ZooKeeper based implementation of the RM state store and/or embedded automatic failover in a HA setting. yarn.resourcemanager.zk-address Number of times RM tries to connect to ZooKeeper. yarn.resourcemanager.zk-num-retries 500 Retry interval in milliseconds when connecting to ZooKeeper. yarn.resourcemanager.zk-retry-interval-ms 2000 Full path of the ZooKeeper znode where RM state will be stored. This must be supplied when using org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore as the value for yarn.resourcemanager.store.class yarn.resourcemanager.zk-state-store.parent-path /rmstore ZooKeeper session timeout in milliseconds. Session expiration is managed by the ZooKeeper cluster itself, not by the client. This value is used by the cluster to determine when the client's session expires. Expirations happens when the cluster does not hear from the client within the specified session timeout period (i.e. no heartbeat). yarn.resourcemanager.zk-timeout-ms 10000 ACL's to be used for ZooKeeper znodes. yarn.resourcemanager.zk-acl world:anyone:rwcda ACLs to be used for the root znode when using ZKRMStateStore in a HA scenario for fencing. ZKRMStateStore supports implicit fencing to allow a single ResourceManager write-access to the store. For fencing, the ResourceManagers in the cluster share read-write-admin privileges on the root node, but the Active ResourceManager claims exclusive create-delete permissions. By default, when this property is not set, we use the ACLs from yarn.resourcemanager.zk-acl for shared admin access and rm-address:random-number for username-based exclusive create-delete access. This property allows users to set ACLs of their choice instead of using the default mechanism. For fencing to work, the ACLs should be carefully set differently on each ResourceManger such that all the ResourceManagers have shared admin access and the Active ResourceManger takes over (exclusively) the create-delete access. yarn.resourcemanager.zk-state-store.root-node.acl URI pointing to the location of the FileSystem path where RM state will be stored. This must be supplied when using org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore as the value for yarn.resourcemanager.store.class yarn.resourcemanager.fs.state-store.uri ${hadoop.tmp.dir}/yarn/system/rmstore hdfs client retry policy specification. hdfs client retry is always enabled. Specified in pairs of sleep-time and number-of-retries and (t0, n0), (t1, n1), ..., the first n0 retries sleep t0 milliseconds on average, the following n1 retries sleep t1 milliseconds on average, and so on. yarn.resourcemanager.fs.state-store.retry-policy-spec 2000, 500 Enable RM high-availability. When enabled, (1) The RM starts in the Standby mode by default, and transitions to the Active mode when prompted to. (2) The nodes in the RM ensemble are listed in yarn.resourcemanager.ha.rm-ids (3) The id of each RM either comes from yarn.resourcemanager.ha.id if yarn.resourcemanager.ha.id is explicitly specified or can be figured out by matching yarn.resourcemanager.address.{id} with local address (4) The actual physical addresses come from the configs of the pattern - {rpc-config}.{id} yarn.resourcemanager.ha.enabled false Enable automatic failover. By default, it is enabled only when HA is enabled yarn.resourcemanager.ha.automatic-failover.enabled true Enable embedded automatic failover. By default, it is enabled only when HA is enabled. The embedded elector relies on the RM state store to handle fencing, and is primarily intended to be used in conjunction with ZKRMStateStore. yarn.resourcemanager.ha.automatic-failover.embedded true The base znode path to use for storing leader information, when using ZooKeeper based leader election. yarn.resourcemanager.ha.automatic-failover.zk-base-path /yarn-leader-election Name of the cluster. In a HA setting, this is used to ensure the RM participates in leader election fo this cluster and ensures it does not affect other clusters yarn.resourcemanager.cluster-id The list of RM nodes in the cluster when HA is enabled. See description of yarn.resourcemanager.ha .enabled for full details on how this is used. yarn.resourcemanager.ha.rm-ids The id (string) of the current RM. When HA is enabled, this is an optional config. The id of current RM can be set by explicitly specifying yarn.resourcemanager.ha.id or figured out by matching yarn.resourcemanager.address.{id} with local address See description of yarn.resourcemanager.ha.enabled for full details on how this is used. yarn.resourcemanager.ha.id When HA is enabled, the class to be used by Clients, AMs and NMs to failover to the Active RM. It should extend org.apache.hadoop.yarn.client.RMFailoverProxyProvider yarn.client.failover-proxy-provider org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider When HA is enabled, the max number of times FailoverProxyProvider should attempt failover. When set, this overrides the yarn.resourcemanager.connect.max-wait.ms. When not set, this is inferred from yarn.resourcemanager.connect.max-wait.ms. yarn.client.failover-max-attempts When HA is enabled, the sleep base (in milliseconds) to be used for calculating the exponential delay between failovers. When set, this overrides the yarn.resourcemanager.connect.* settings. When not set, yarn.resourcemanager.connect.retry-interval.ms is used instead. yarn.client.failover-sleep-base-ms When HA is enabled, the maximum sleep time (in milliseconds) between failovers. When set, this overrides the yarn.resourcemanager.connect.* settings. When not set, yarn.resourcemanager.connect.retry-interval.ms is used instead. yarn.client.failover-sleep-max-ms When HA is enabled, the number of retries per attempt to connect to a ResourceManager. In other words, it is the ipc.client.connect.max.retries to be used during failover attempts yarn.client.failover-retries 0 When HA is enabled, the number of retries per attempt to connect to a ResourceManager on socket timeouts. In other words, it is the ipc.client.connect.max.retries.on.timeouts to be used during failover attempts yarn.client.failover-retries-on-socket-timeouts 0 The maximum number of completed applications RM keeps. yarn.resourcemanager.max-completed-applications 10000 Interval at which the delayed token removal thread runs yarn.resourcemanager.delayed.delegation-token.removal-interval-ms 30000 Interval for the roll over for the master key used to generate application tokens yarn.resourcemanager.application-tokens.master-key-rolling-interval-secs 86400 Interval for the roll over for the master key used to generate container tokens. It is expected to be much greater than yarn.nm.liveness-monitor.expiry-interval-ms and yarn.rm.container-allocation.expiry-interval-ms. Otherwise the behavior is undefined. yarn.resourcemanager.container-tokens.master-key-rolling-interval-secs 86400 The heart-beat interval in milliseconds for every NodeManager in the cluster. yarn.resourcemanager.nodemanagers.heartbeat-interval-ms 1000 The minimum allowed version of a connecting nodemanager. The valid values are NONE (no version checking), EqualToRM (the nodemanager's version is equal to or greater than the RM version), or a Version String. yarn.resourcemanager.nodemanager.minimum.version NONE Enable a set of periodic monitors (specified in yarn.resourcemanager.scheduler.monitor.policies) that affect the scheduler. yarn.resourcemanager.scheduler.monitor.enable false The list of SchedulingEditPolicy classes that interact with the scheduler. A particular module may be incompatible with the scheduler, other policies, or a configuration of either. yarn.resourcemanager.scheduler.monitor.policies org.apache.hadoop.yarn.server.resourcemanager.monitor.capacity.ProportionalCapacityPreemptionPolicy Number of worker threads that write the history data. yarn.resourcemanager.history-writer.multi-threaded-dispatcher.pool-size 10 The class to use as the configuration provider. If org.apache.hadoop.yarn.LocalConfigurationProvider is used, the local configuration will be loaded. If org.apache.hadoop.yarn.FileSystemBasedConfigurationProvider is used, the configuration which will be loaded should be uploaded to remote File system first. > yarn.resourcemanager.configuration.provider-class org.apache.hadoop.yarn.LocalConfigurationProvider The hostname of the NM. yarn.nodemanager.hostname 0.0.0.0 The address of the container manager in the NM. yarn.nodemanager.address ${yarn.nodemanager.hostname}:0 Environment variables that should be forwarded from the NodeManager's environment to the container's. yarn.nodemanager.admin-env MALLOC_ARENA_MAX=$MALLOC_ARENA_MAX Environment variables that containers may override rather than use NodeManager's default. yarn.nodemanager.env-whitelist JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,HADOOP_YARN_HOME who will execute(launch) the containers. yarn.nodemanager.container-executor.class org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor Number of threads container manager uses. yarn.nodemanager.container-manager.thread-count 20 Number of threads used in cleanup. yarn.nodemanager.delete.thread-count 4 Number of seconds after an application finishes before the nodemanager's DeletionService will delete the application's localized file directory and log directory. To diagnose Yarn application problems, set this property's value large enough (for example, to 600 = 10 minutes) to permit examination of these directories. After changing the property's value, you must restart the nodemanager in order for it to have an effect. The roots of Yarn applications' work directories is configurable with the yarn.nodemanager.local-dirs property (see below), and the roots of the Yarn applications' log directories is configurable with the yarn.nodemanager.log-dirs property (see also below). yarn.nodemanager.delete.debug-delay-sec 0 Keytab for NM. yarn.nodemanager.keytab /etc/krb5.keytab List of directories to store localized files in. An application's localized file directory will be found in: ${yarn.nodemanager.local-dirs}/usercache/${user}/appcache/application_${appid}. Individual containers' work directories, called container_${contid}, will be subdirectories of this. yarn.nodemanager.local-dirs ${hadoop.tmp.dir}/nm-local-dir It limits the maximum number of files which will be localized in a single local directory. If the limit is reached then sub-directories will be created and new files will be localized in them. If it is set to a value less than or equal to 36 [which are sub-directories (0-9 and then a-z)] then NodeManager will fail to start. For example; [for public cache] if this is configured with a value of 40 ( 4 files + 36 sub-directories) and the local-dir is "/tmp/local-dir1" then it will allow 4 files to be created directly inside "/tmp/local-dir1/filecache". For files that are localized further it will create a sub-directory "0" inside "/tmp/local-dir1/filecache" and will localize files inside it until it becomes full. If a file is removed from a sub-directory that is marked full, then that sub-directory will be used back again to localize files. yarn.nodemanager.local-cache.max-files-per-directory 8192 Address where the localizer IPC is. yarn.nodemanager.localizer.address ${yarn.nodemanager.hostname}:8040 Interval in between cache cleanups. yarn.nodemanager.localizer.cache.cleanup.interval-ms 600000 Target size of localizer cache in MB, per local directory. yarn.nodemanager.localizer.cache.target-size-mb 10240 Number of threads to handle localization requests. yarn.nodemanager.localizer.client.thread-count 5 Number of threads to use for localization fetching. yarn.nodemanager.localizer.fetch.thread-count 4 Where to store container logs. An application's localized log directory will be found in ${yarn.nodemanager.log-dirs}/application_${appid}. Individual containers' log directories will be below this, in directories named container_{$contid}. Each container directory will contain the files stderr, stdin, and syslog generated by that container. yarn.nodemanager.log-dirs ${yarn.log.dir}/userlogs Whether to enable log aggregation yarn.log-aggregation-enable false How long to keep aggregation logs before deleting them. -1 disables. Be careful set this too small and you will spam the name node. yarn.log-aggregation.retain-seconds -1 How long to wait between aggregated log retention checks. If set to 0 or a negative value then the value is computed as one-tenth of the aggregated log retention time. Be careful set this too small and you will spam the name node. yarn.log-aggregation.retain-check-interval-seconds -1 Time in seconds to retain user logs. Only applicable if log aggregation is disabled yarn.nodemanager.log.retain-seconds 10800 Where to aggregate logs to. yarn.nodemanager.remote-app-log-dir /tmp/logs The remote log dir will be created at {yarn.nodemanager.remote-app-log-dir}/${user}/{thisParam} yarn.nodemanager.remote-app-log-dir-suffix logs Amount of physical memory, in MB, that can be allocated for containers. yarn.nodemanager.resource.memory-mb 8192 Whether physical memory limits will be enforced for containers. yarn.nodemanager.pmem-check-enabled true Whether virtual memory limits will be enforced for containers. yarn.nodemanager.vmem-check-enabled true Ratio between virtual memory to physical memory when setting memory limits for containers. Container allocations are expressed in terms of physical memory, and virtual memory usage is allowed to exceed this allocation by this ratio. yarn.nodemanager.vmem-pmem-ratio 2.1 Number of CPU cores that can be allocated for containers. yarn.nodemanager.resource.cpu-vcores 8 NM Webapp address. yarn.nodemanager.webapp.address ${yarn.nodemanager.hostname}:8042 How often to monitor containers. yarn.nodemanager.container-monitor.interval-ms 3000 Class that calculates containers current resource utilization. yarn.nodemanager.container-monitor.resource-calculator.class Frequency of running node health script. yarn.nodemanager.health-checker.interval-ms 600000 Script time out period. yarn.nodemanager.health-checker.script.timeout-ms 1200000 The health check script to run. yarn.nodemanager.health-checker.script.path The arguments to pass to the health check script. yarn.nodemanager.health-checker.script.opts Frequency of running disk health checker code. yarn.nodemanager.disk-health-checker.interval-ms 120000 The minimum fraction of number of disks to be healthy for the nodemanager to launch new containers. This correspond to both yarn-nodemanager.local-dirs and yarn.nodemanager.log-dirs. i.e. If there are less number of healthy local-dirs (or log-dirs) available, then new containers will not be launched on this node. yarn.nodemanager.disk-health-checker.min-healthy-disks 0.25 The maximum percentage of disk space utilization allowed after which a disk is marked as bad. Values can range from 0.0 to 100.0. If the value is greater than or equal to 100, the nodemanager will check for full disk. This applies to yarn-nodemanager.local-dirs and yarn.nodemanager.log-dirs. yarn.nodemanager.disk-health-checker.max-disk-utilization-per-disk-percentage 100.0 The minimum space that must be available on a disk for it to be used. This applies to yarn-nodemanager.local-dirs and yarn.nodemanager.log-dirs. yarn.nodemanager.disk-health-checker.min-free-space-per-disk-mb 0 The path to the Linux container executor. yarn.nodemanager.linux-container-executor.path The class which should help the LCE handle resources. yarn.nodemanager.linux-container-executor.resources-handler.class org.apache.hadoop.yarn.server.nodemanager.util.DefaultLCEResourcesHandler The cgroups hierarchy under which to place YARN proccesses (cannot contain commas). If yarn.nodemanager.linux-container-executor.cgroups.mount is false (that is, if cgroups have been pre-configured), then this cgroups hierarchy must already exist and be writable by the NodeManager user, otherwise the NodeManager may fail. Only used when the LCE resources handler is set to the CgroupsLCEResourcesHandler. yarn.nodemanager.linux-container-executor.cgroups.hierarchy /hadoop-yarn Whether the LCE should attempt to mount cgroups if not found. Only used when the LCE resources handler is set to the CgroupsLCEResourcesHandler. yarn.nodemanager.linux-container-executor.cgroups.mount false Where the LCE should attempt to mount cgroups if not found. Common locations include /sys/fs/cgroup and /cgroup; the default location can vary depending on the Linux distribution in use. This path must exist before the NodeManager is launched. Only used when the LCE resources handler is set to the CgroupsLCEResourcesHandler, and yarn.nodemanager.linux-container-executor.cgroups.mount is true. yarn.nodemanager.linux-container-executor.cgroups.mount-path The UNIX user that containers will run as when Linux-container-executor is used in nonsecure mode (a use case for this is using cgroups). yarn.nodemanager.linux-container-executor.nonsecure-mode.local-user nobody The allowed pattern for UNIX user names enforced by Linux-container-executor when used in nonsecure mode (use case for this is using cgroups). The default value is taken from /usr/sbin/adduser yarn.nodemanager.linux-container-executor.nonsecure-mode.user-pattern ^[_.A-Za-z0-9][-@_.A-Za-z0-9]{0,255}?[$]?$ T-file compression types used to compress aggregated logs. yarn.nodemanager.log-aggregation.compression-type none The kerberos principal for the node manager. yarn.nodemanager.principal the valid service name should only contain a-zA-Z0-9_ and can not start with numbers yarn.nodemanager.aux-services No. of ms to wait between sending a SIGTERM and SIGKILL to a container yarn.nodemanager.sleep-delay-before-sigkill.ms 250 Max time to wait for a process to come up when trying to cleanup a container yarn.nodemanager.process-kill-wait.ms 2000 Max time, in seconds, to wait to establish a connection to RM when NM starts. The NM will shutdown if it cannot connect to RM within the specified max time period. If the value is set as -1, then NM will retry forever. yarn.nodemanager.resourcemanager.connect.wait.secs 900 Time interval, in seconds, between each NM attempt to connect to RM. yarn.nodemanager.resourcemanager.connect.retry_interval.secs 30 The minimum allowed version of a resourcemanager that a nodemanager will connect to. The valid values are NONE (no version checking), EqualToNM (the resourcemanager's version is equal to or greater than the NM version), or a Version String. yarn.nodemanager.resourcemanager.minimum.version NONE Max number of threads in NMClientAsync to process container management events yarn.client.nodemanager-client-async.thread-pool-max-size 500 Maximum number of proxy connections for node manager. It should always be more than 1. NMClient and MRAppMaster will use this to cache connection with node manager. There will be at max one connection per node manager. Ex. configuring it to a value of 5 will make sure that client will at max have 5 connections cached with 5 different node managers. These connections will be timed out if idle for more than system wide idle timeout period. The token if used for authentication then it will be used only at connection creation time. If new token is received then earlier connection should be closed in order to use newer token. This and (yarn.client.nodemanager-client-async.thread-pool-max-size) are related and should be sync (no need for them to be equal). yarn.client.max-nodemanagers-proxies 500 yarn.nodemanager.aux-services.mapreduce_shuffle.class org.apache.hadoop.mapred.ShuffleHandler mapreduce.job.jar mapreduce.job.hdfs-servers ${fs.defaultFS} The kerberos principal for the proxy, if the proxy is not running as part of the RM. yarn.web-proxy.principal Keytab for WebAppProxy, if the proxy is not running as part of the RM. yarn.web-proxy.keytab The address for the web proxy as HOST:PORT, if this is not given then the proxy will run as part of the RM yarn.web-proxy.address CLASSPATH for YARN applications. A comma-separated list of CLASSPATH entries. When this value is empty, the following default CLASSPATH for YARN applications would be used. For Linux: $HADOOP_CONF_DIR, $HADOOP_COMMON_HOME/share/hadoop/common/*, $HADOOP_COMMON_HOME/share/hadoop/common/lib/*, $HADOOP_HDFS_HOME/share/hadoop/hdfs/*, $HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*, $HADOOP_YARN_HOME/share/hadoop/yarn/*, $HADOOP_YARN_HOME/share/hadoop/yarn/lib/* For Windows: %HADOOP_CONF_DIR%, %HADOOP_COMMON_HOME%/share/hadoop/common/*, %HADOOP_COMMON_HOME%/share/hadoop/common/lib/*, %HADOOP_HDFS_HOME%/share/hadoop/hdfs/*, %HADOOP_HDFS_HOME%/share/hadoop/hdfs/lib/*, %HADOOP_YARN_HOME%/share/hadoop/yarn/*, %HADOOP_YARN_HOME%/share/hadoop/yarn/lib/* yarn.application.classpath Indicate to clients whether timeline service is enabled or not. If enabled, clients will put entities and events to the timeline server. yarn.timeline-service.enabled false The hostname of the timeline service web application. yarn.timeline-service.hostname 0.0.0.0 This is default address for the timeline server to start the RPC server. yarn.timeline-service.address ${yarn.timeline-service.hostname}:10200 The http address of the timeline service web application. yarn.timeline-service.webapp.address ${yarn.timeline-service.hostname}:8188 The https address of the timeline service web application. yarn.timeline-service.webapp.https.address ${yarn.timeline-service.hostname}:8190 Store class name for timeline store. yarn.timeline-service.store-class org.apache.hadoop.yarn.server.applicationhistoryservice.timeline.LeveldbTimelineStore Enable age off of timeline store data. yarn.timeline-service.ttl-enable true Time to live for timeline store data in milliseconds. yarn.timeline-service.ttl-ms 604800000 Store file name for leveldb timeline store. yarn.timeline-service.leveldb-timeline-store.path ${hadoop.tmp.dir}/yarn/timeline Length of time to wait between deletion cycles of leveldb timeline store in milliseconds. yarn.timeline-service.leveldb-timeline-store.ttl-interval-ms 300000 Size of read cache for uncompressed blocks for leveldb timeline store in bytes. yarn.timeline-service.leveldb-timeline-store.read-cache-size 104857600 Size of cache for recently read entity start times for leveldb timeline store in number of entities. yarn.timeline-service.leveldb-timeline-store.start-time-read-cache-size 10000 Size of cache for recently written entity start times for leveldb timeline store in number of entities. yarn.timeline-service.leveldb-timeline-store.start-time-write-cache-size 10000 Handler thread count to serve the client RPC requests. yarn.timeline-service.handler-thread-count 10 Indicate to ResourceManager as well as clients whether history-service is enabled or not. If enabled, ResourceManager starts recording historical data that ApplicationHistory service can consume. Similarly, clients can redirect to the history service when applications finish if this is enabled. yarn.timeline-service.generic-application-history.enabled false URI pointing to the location of the FileSystem path where the history will be persisted. This must be supplied when using org.apache.hadoop.yarn.server.applicationhistoryservice.FileSystemApplicationHistoryStore as the value for yarn.timeline-service.generic-application-history.store-class yarn.timeline-service.generic-application-history.fs-history-store.uri ${hadoop.tmp.dir}/yarn/timeline/generic-history T-file compression types used to compress history data. yarn.timeline-service.generic-application-history.fs-history-store.compression-type none Store class name for history store, defaulting to file system store yarn.timeline-service.generic-application-history.store-class org.apache.hadoop.yarn.server.applicationhistoryservice.FileSystemApplicationHistoryStore The interval that the yarn client library uses to poll the completion status of the asynchronous API of application client protocol. yarn.client.application-client-protocol.poll-interval-ms 200 RSS usage of a process computed via /proc/pid/stat is not very accurate as it includes shared pages of a process. /proc/pid/smaps provides useful information like Private_Dirty, Private_Clean, Shared_Dirty, Shared_Clean which can be used for computing more accurate RSS. When this flag is enabled, RSS is computed as Min(Shared_Dirty, Pss) + Private_Clean + Private_Dirty. It excludes read-only shared mappings in RSS computation. yarn.nodemanager.container-monitor.procfs-tree.smaps-based-rss.enabled false