oenix.phoenix-client.4.14.1-HBase-1.4.source-code.core-default.xml Maven / Gradle / Ivy
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <!-- Do not modify this file directly. Instead, copy entries that you --> <!-- wish to modify from this file into core-site.xml and change them --> <!-- there. If core-site.xml does not already exist, create it. --> <configuration> <!--- global properties --> <property> <name>hadoop.common.configuration.version</name> <value>0.23.0</value> <description>version of this configuration file</description> </property> <property> <name>hadoop.tmp.dir</name> <value>/tmp/hadoop-${user.name}</value> <description>A base for other temporary directories.</description> </property> <property> <name>io.native.lib.available</name> <value>true</value> <description>Controls whether to use native libraries for bz2 and zlib compression codecs or not. The property does not control any other native libraries. </description> </property> <property> <name>hadoop.http.filter.initializers</name> <value>org.apache.hadoop.http.lib.StaticUserWebFilter</value> <description>A comma separated list of class names. Each class in the list must extend org.apache.hadoop.http.FilterInitializer. The corresponding Filter will be initialized. Then, the Filter will be applied to all user facing jsp and servlet web pages. The ordering of the list defines the ordering of the filters.</description> </property> <!--- security properties --> <property> <name>hadoop.security.authorization</name> <value>false</value> <description>Is service-level authorization enabled?</description> </property> <property> <name>hadoop.security.instrumentation.requires.admin</name> <value>false</value> <description> Indicates if administrator ACLs are required to access instrumentation servlets (JMX, METRICS, CONF, STACKS). </description> </property> <property> <name>hadoop.security.authentication</name> <value>simple</value> <description>Possible values are simple (no authentication), and kerberos </description> </property> <property> <name>hadoop.security.group.mapping</name> <value>org.apache.hadoop.security.JniBasedUnixGroupsMappingWithFallback</value> <description> Class for user to group mapping (get groups for a given user) for ACL. The default implementation, org.apache.hadoop.security.JniBasedUnixGroupsMappingWithFallback, will determine if the Java Native Interface (JNI) is available. If JNI is available the implementation will use the API within hadoop to resolve a list of groups for a user. If JNI is not available then the shell implementation, ShellBasedUnixGroupsMapping, is used. This implementation shells out to the Linux/Unix environment with the <code>bash -c groups</code> command to resolve a list of groups for a user. </description> </property> <!-- === Multiple group mapping providers configuration sample === This sample illustrates a typical use case for CompositeGroupsMapping where Hadoop authentication uses MIT Kerberos which trusts an AD realm. In this case, service principals such as hdfs, mapred, hbase, hive, oozie and etc can be placed in In MIT Kerberos, but end users are just from the trusted AD. For the service principals, ShellBasedUnixGroupsMapping provider can be used to query their groups for efficiency, and for end users, LdapGroupsMapping provider can be used. This avoids to add group entries in AD for service principals when only using LdapGroupsMapping provider. In case multiple ADs are involved and trusted by the MIT Kerberos in this use case, LdapGroupsMapping provider can be used more times with different AD specific configurations. This sample also shows how to do that. Here are the necessary configurations. <property> <name>hadoop.security.group.mapping</name> <value>org.apache.hadoop.security.CompositeGroupsMapping</value> <description> Class for user to group mapping (get groups for a given user) for ACL, which makes use of other multiple providers to provide the service. </description> </property> <property> <name>hadoop.security.group.mapping.providers</name> <value>shell4services,ad4usersX,ad4usersY</value> <description> Comma separated of names of other providers to provide user to group mapping. </description> </property> <property> <name>hadoop.security.group.mapping.providers.combined</name> <value>true</value> <description> true or false to indicate whether groups from the providers are combined or not. The default value is true If true, then all the providers will be tried to get groups and all the groups are combined to return as the final results. Otherwise, providers are tried one by one in the configured list order, and if any groups are retrieved from any provider, then the groups will be returned without trying the left ones. </description> </property> <property> <name>hadoop.security.group.mapping.provider.shell4services</name> <value>org.apache.hadoop.security.ShellBasedUnixGroupsMapping</value> <description> Class for group mapping provider named by 'shell4services'. The name can then be referenced by hadoop.security.group.mapping.providers property. </description> </property> <property> <name>hadoop.security.group.mapping.provider.ad4usersX</name> <value>org.apache.hadoop.security.LdapGroupsMapping</value> <description> Class for group mapping provider named by 'ad4usersX'. The name can then be referenced by hadoop.security.group.mapping.providers property. </description> </property> <property> <name>hadoop.security.group.mapping.provider.ad4usersY</name> <value>org.apache.hadoop.security.LdapGroupsMapping</value> <description> Class for group mapping provider named by 'ad4usersY'. The name can then be referenced by hadoop.security.group.mapping.providers property. </description> </property> <property> <name>hadoop.security.group.mapping.provider.ad4usersX.ldap.url</name> <value>ldap://ad-host-for-users-X:389</value> <description> ldap url for the provider named by 'ad4usersX'. Note this property comes from 'hadoop.security.group.mapping.ldap.url'. </description> </property> <property> <name>hadoop.security.group.mapping.provider.ad4usersY.ldap.url</name> <value>ldap://ad-host-for-users-Y:389</value> <description> ldap url for the provider named by 'ad4usersY'. Note this property comes from 'hadoop.security.group.mapping.ldap.url'. </description> </property> You also need to configure other properties like hadoop.security.group.mapping.ldap.bind.password.file and etc. for ldap providers in the same way as above does. --> <property> <name>hadoop.security.groups.cache.secs</name> <value>300</value> <description> This is the config controlling the validity of the entries in the cache containing the user->group mapping. When this duration has expired, then the implementation of the group mapping provider is invoked to get the groups of the user and then cached back. </description> </property> <property> <name>hadoop.security.groups.negative-cache.secs</name> <value>30</value> <description> Expiration time for entries in the the negative user-to-group mapping caching, in seconds. This is useful when invalid users are retrying frequently. It is suggested to set a small value for this expiration, since a transient error in group lookup could temporarily lock out a legitimate user. Set this to zero or negative value to disable negative user-to-group caching. </description> </property> <property> <name>hadoop.security.groups.cache.warn.after.ms</name> <value>5000</value> <description> If looking up a single user to group takes longer than this amount of milliseconds, we will log a warning message. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.url</name> <value></value> <description> The URL of the LDAP server to use for resolving user groups when using the LdapGroupsMapping user to group mapping. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.ssl</name> <value>false</value> <description> Whether or not to use SSL when connecting to the LDAP server. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.ssl.keystore</name> <value></value> <description> File path to the SSL keystore that contains the SSL certificate required by the LDAP server. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.ssl.keystore.password.file</name> <value></value> <description> The path to a file containing the password of the LDAP SSL keystore. IMPORTANT: This file should be readable only by the Unix user running the daemons. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.bind.user</name> <value></value> <description> The distinguished name of the user to bind as when connecting to the LDAP server. This may be left blank if the LDAP server supports anonymous binds. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.bind.password.file</name> <value></value> <description> The path to a file containing the password of the bind user. IMPORTANT: This file should be readable only by the Unix user running the daemons. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.base</name> <value></value> <description> The search base for the LDAP connection. This is a distinguished name, and will typically be the root of the LDAP directory. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.search.filter.user</name> <value>(&(objectClass=user)(sAMAccountName={0}))</value> <description> An additional filter to use when searching for LDAP users. The default will usually be appropriate for Active Directory installations. If connecting to an LDAP server with a non-AD schema, this should be replaced with (&(objectClass=inetOrgPerson)(uid={0}). {0} is a special string used to denote where the username fits into the filter. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.search.filter.group</name> <value>(objectClass=group)</value> <description> An additional filter to use when searching for LDAP groups. This should be changed when resolving groups against a non-Active Directory installation. posixGroups are currently not a supported group class. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.search.attr.member</name> <value>member</value> <description> The attribute of the group object that identifies the users that are members of the group. The default will usually be appropriate for any LDAP installation. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.search.attr.group.name</name> <value>cn</value> <description> The attribute of the group object that identifies the group name. The default will usually be appropriate for all LDAP systems. </description> </property> <property> <name>hadoop.security.group.mapping.ldap.directory.search.timeout</name> <value>10000</value> <description> The attribute applied to the LDAP SearchControl properties to set a maximum time limit when searching and awaiting a result. Set to 0 if infinite wait period is desired. Default is 10 seconds. Units in milliseconds. </description> </property> <property> <name>hadoop.security.service.user.name.key</name> <value></value> <description> For those cases where the same RPC protocol is implemented by multiple servers, this configuration is required for specifying the principal name to use for the service when the client wishes to make an RPC call. </description> </property> <property> <name>hadoop.security.uid.cache.secs</name> <value>14400</value> <description> This is the config controlling the validity of the entries in the cache containing the userId to userName and groupId to groupName used by NativeIO getFstat(). </description> </property> <property> <name>hadoop.rpc.protection</name> <value>authentication</value> <description>A comma-separated list of protection values for secured sasl connections. Possible values are authentication, integrity and privacy. authentication means authentication only and no integrity or privacy; integrity implies authentication and integrity are enabled; and privacy implies all of authentication, integrity and privacy are enabled. hadoop.security.saslproperties.resolver.class can be used to override the hadoop.rpc.protection for a connection at the server side. </description> </property> <property> <name>hadoop.security.saslproperties.resolver.class</name> <value></value> <description>SaslPropertiesResolver used to resolve the QOP used for a connection. If not specified, the full set of values specified in hadoop.rpc.protection is used while determining the QOP used for the connection. If a class is specified, then the QOP values returned by the class will be used while determining the QOP used for the connection. </description> </property> <property> <name>hadoop.work.around.non.threadsafe.getpwuid</name> <value>false</value> <description>Some operating systems or authentication modules are known to have broken implementations of getpwuid_r and getpwgid_r, such that these calls are not thread-safe. Symptoms of this problem include JVM crashes with a stack trace inside these functions. If your system exhibits this issue, enable this configuration parameter to include a lock around the calls as a workaround. An incomplete list of some systems known to have this issue is available at http://wiki.apache.org/hadoop/KnownBrokenPwuidImplementations </description> </property> <property> <name>hadoop.kerberos.kinit.command</name> <value>kinit</value> <description>Used to periodically renew Kerberos credentials when provided to Hadoop. The default setting assumes that kinit is in the PATH of users running the Hadoop client. Change this to the absolute path to kinit if this is not the case. </description> </property> <property> <name>hadoop.security.auth_to_local</name> <value></value> <description>Maps kerberos principals to local user names</description> </property> <!-- i/o properties --> <property> <name>io.file.buffer.size</name> <value>4096</value> <description>The size of buffer for use in sequence files. The size of this buffer should probably be a multiple of hardware page size (4096 on Intel x86), and it determines how much data is buffered during read and write operations.</description> </property> <property> <name>io.bytes.per.checksum</name> <value>512</value> <description>The number of bytes per checksum. Must not be larger than io.file.buffer.size.</description> </property> <property> <name>io.skip.checksum.errors</name> <value>false</value> <description>If true, when a checksum error is encountered while reading a sequence file, entries are skipped, instead of throwing an exception.</description> </property> <property> <name>io.compression.codecs</name> <value></value> <description>A comma-separated list of the compression codec classes that can be used for compression/decompression. In addition to any classes specified with this property (which take precedence), codec classes on the classpath are discovered using a Java ServiceLoader.</description> </property> <property> <name>io.compression.codec.bzip2.library</name> <value>system-native</value> <description>The native-code library to be used for compression and decompression by the bzip2 codec. This library could be specified either by by name or the full pathname. In the former case, the library is located by the dynamic linker, usually searching the directories specified in the environment variable LD_LIBRARY_PATH. The value of "system-native" indicates that the default system library should be used. To indicate that the algorithm should operate entirely in Java, specify "java-builtin".</description> </property> <property> <name>io.serializations</name> <value>org.apache.hadoop.io.serializer.WritableSerialization,org.apache.hadoop.io.serializer.avro.AvroSpecificSerialization,org.apache.hadoop.io.serializer.avro.AvroReflectSerialization</value> <description>A list of serialization classes that can be used for obtaining serializers and deserializers.</description> </property> <property> <name>io.seqfile.local.dir</name> <value>${hadoop.tmp.dir}/io/local</value> <description>The local directory where sequence file stores intermediate data files during merge. May be a comma-separated list of directories on different devices in order to spread disk i/o. Directories that do not exist are ignored. </description> </property> <property> <name>io.map.index.skip</name> <value>0</value> <description>Number of index entries to skip between each entry. Zero by default. Setting this to values larger than zero can facilitate opening large MapFiles using less memory.</description> </property> <property> <name>io.map.index.interval</name> <value>128</value> <description> MapFile consist of two files - data file (tuples) and index file (keys). For every io.map.index.interval records written in the data file, an entry (record-key, data-file-position) is written in the index file. This is to allow for doing binary search later within the index file to look up records by their keys and get their closest positions in the data file. </description> </property> <!-- file system properties --> <property> <name>fs.defaultFS</name> <value>file:///</value> <description>The name of the default file system. A URI whose scheme and authority determine the FileSystem implementation. The uri's scheme determines the config property (fs.SCHEME.impl) naming the FileSystem implementation class. The uri's authority is used to determine the host, port, etc. for a filesystem.</description> </property> <property> <name>fs.default.name</name> <value>file:///</value> <description>Deprecated. Use (fs.defaultFS) property instead</description> </property> <property> <name>fs.trash.interval</name> <value>0</value> <description>Number of minutes after which the checkpoint gets deleted. If zero, the trash feature is disabled. This option may be configured both on the server and the client. If trash is disabled server side then the client side configuration is checked. If trash is enabled on the server side then the value configured on the server is used and the client configuration value is ignored. </description> </property> <property> <name>fs.trash.checkpoint.interval</name> <value>0</value> <description>Number of minutes between trash checkpoints. Should be smaller or equal to fs.trash.interval. If zero, the value is set to the value of fs.trash.interval. Every time the checkpointer runs it creates a new checkpoint out of current and removes checkpoints created more than fs.trash.interval minutes ago. </description> </property> <property> <name>fs.AbstractFileSystem.file.impl</name> <value>org.apache.hadoop.fs.local.LocalFs</value> <description>The AbstractFileSystem for file: uris.</description> </property> <property> <name>fs.AbstractFileSystem.har.impl</name> <value>org.apache.hadoop.fs.HarFs</value> <description>The AbstractFileSystem for har: uris.</description> </property> <property> <name>fs.AbstractFileSystem.hdfs.impl</name> <value>org.apache.hadoop.fs.Hdfs</value> <description>The FileSystem for hdfs: uris.</description> </property> <property> <name>fs.AbstractFileSystem.viewfs.impl</name> <value>org.apache.hadoop.fs.viewfs.ViewFs</value> <description>The AbstractFileSystem for view file system for viewfs: uris (ie client side mount table:).</description> </property> <property> <name>fs.AbstractFileSystem.ftp.impl</name> <value>org.apache.hadoop.fs.ftp.FtpFs</value> <description>The FileSystem for Ftp: uris.</description> </property> <property> <name>fs.ftp.host</name> <value>0.0.0.0</value> <description>FTP filesystem connects to this server</description> </property> <property> <name>fs.ftp.host.port</name> <value>21</value> <description> FTP filesystem connects to fs.ftp.host on this port </description> </property> <property> <name>fs.df.interval</name> <value>60000</value> <description>Disk usage statistics refresh interval in msec.</description> </property> <property> <name>fs.du.interval</name> <value>600000</value> <description>File space usage statistics refresh interval in msec.</description> </property> <property> <name>fs.s3.block.size</name> <value>67108864</value> <description>Block size to use when writing files to S3.</description> </property> <property> <name>fs.s3.buffer.dir</name> <value>${hadoop.tmp.dir}/s3</value> <description>Determines where on the local filesystem the S3 filesystem should store files before sending them to S3 (or after retrieving them from S3). </description> </property> <property> <name>fs.s3.maxRetries</name> <value>4</value> <description>The maximum number of retries for reading or writing files to S3, before we signal failure to the application. </description> </property> <property> <name>fs.s3.sleepTimeSeconds</name> <value>10</value> <description>The number of seconds to sleep between each S3 retry. </description> </property> <property> <name>fs.swift.impl</name> <value>org.apache.hadoop.fs.swift.snative.SwiftNativeFileSystem</value> <description>The implementation class of the OpenStack Swift Filesystem</description> </property> <property> <name>fs.automatic.close</name> <value>true</value> <description>By default, FileSystem instances are automatically closed at program exit using a JVM shutdown hook. Setting this property to false disables this behavior. This is an advanced option that should only be used by server applications requiring a more carefully orchestrated shutdown sequence. </description> </property> <property> <name>fs.s3n.block.size</name> <value>67108864</value> <description>Block size to use when reading files using the native S3 filesystem (s3n: URIs).</description> </property> <property> <name>fs.s3n.multipart.uploads.enabled</name> <value>false</value> <description>Setting this property to true enables multiple uploads to native S3 filesystem. When uploading a file, it is split into blocks if the size is larger than fs.s3n.multipart.uploads.block.size. </description> </property> <property> <name>fs.s3n.multipart.uploads.block.size</name> <value>67108864</value> <description>The block size for multipart uploads to native S3 filesystem. Default size is 64MB. </description> </property> <property> <name>fs.s3n.multipart.copy.block.size</name> <value>5368709120</value> <description>The block size for multipart copy in native S3 filesystem. Default size is 5GB. </description> </property> <property> <name>fs.s3n.server-side-encryption-algorithm</name> <value></value> <description>Specify a server-side encryption algorithm for S3. The default is NULL, and the only other currently allowable value is AES256. </description> </property> <property> <name>fs.s3a.awsAccessKeyId</name> <description>AWS access key ID. Omit for Role-based authentication.</description> </property> <property> <name>fs.s3a.awsSecretAccessKey</name> <description>AWS secret key. Omit for Role-based authentication.</description> </property> <property> <name>fs.s3a.connection.maximum</name> <value>15</value> <description>Controls the maximum number of simultaneous connections to S3.</description> </property> <property> <name>fs.s3a.connection.ssl.enabled</name> <value>true</value> <description>Enables or disables SSL connections to S3.</description> </property> <property> <name>fs.s3a.endpoint</name> <description>AWS S3 endpoint to connect to. An up-to-date list is provided in the AWS Documentation: regions and endpoints. Without this property, the standard region (s3.amazonaws.com) is assumed. </description> </property> <property> <name>fs.s3a.proxy.host</name> <description>Hostname of the (optional) proxy server for S3 connections.</description> </property> <property> <name>fs.s3a.proxy.port</name> <description>Proxy server port. If this property is not set but fs.s3a.proxy.host is, port 80 or 443 is assumed (consistent with the value of fs.s3a.connection.ssl.enabled).</description> </property> <property> <name>fs.s3a.proxy.username</name> <description>Username for authenticating with proxy server.</description> </property> <property> <name>fs.s3a.proxy.password</name> <description>Password for authenticating with proxy server.</description> </property> <property> <name>fs.s3a.proxy.domain</name> <description>Domain for authenticating with proxy server.</description> </property> <property> <name>fs.s3a.proxy.workstation</name> <description>Workstation for authenticating with proxy server.</description> </property> <property> <name>fs.s3a.attempts.maximum</name> <value>10</value> <description>How many times we should retry commands on transient errors.</description> </property> <property> <name>fs.s3a.connection.establish.timeout</name> <value>5000</value> <description>Socket connection setup timeout in milliseconds.</description> </property> <property> <name>fs.s3a.connection.timeout</name> <value>50000</value> <description>Socket connection timeout in milliseconds.</description> </property> <property> <name>fs.s3a.paging.maximum</name> <value>5000</value> <description>How many keys to request from S3 when doing directory listings at a time.</description> </property> <property> <name>fs.s3a.threads.max</name> <value>256</value> <description> Maximum number of concurrent active (part)uploads, which each use a thread from the threadpool.</description> </property> <property> <name>fs.s3a.threads.core</name> <value>15</value> <description>Number of core threads in the threadpool.</description> </property> <property> <name>fs.s3a.threads.keepalivetime</name> <value>60</value> <description>Number of seconds a thread can be idle before being terminated.</description> </property> <property> <name>fs.s3a.max.total.tasks</name> <value>1000</value> <description>Number of (part)uploads allowed to the queue before blocking additional uploads.</description> </property> <property> <name>fs.s3a.multipart.size</name> <value>104857600</value> <description>How big (in bytes) to split upload or copy operations up into.</description> </property> <property> <name>fs.s3a.multipart.threshold</name> <value>2147483647</value> <description>Threshold before uploads or copies use parallel multipart operations.</description> </property> <property> <name>fs.s3a.acl.default</name> <description>Set a canned ACL for newly created and copied objects. Value may be private, public-read, public-read-write, authenticated-read, log-delivery-write, bucket-owner-read, or bucket-owner-full-control.</description> </property> <property> <name>fs.s3a.multipart.purge</name> <value>false</value> <description>True if you want to purge existing multipart uploads that may not have been completed/aborted correctly</description> </property> <property> <name>fs.s3a.multipart.purge.age</name> <value>86400</value> <description>Minimum age in seconds of multipart uploads to purge</description> </property> <property> <name>fs.s3a.buffer.dir</name> <value>${hadoop.tmp.dir}/s3a</value> <description>Comma separated list of directories that will be used to buffer file uploads to.</description> </property> <property> <name>fs.s3a.fast.upload</name> <value>false</value> <description>Upload directly from memory instead of buffering to disk first. Memory usage and parallelism can be controlled as up to fs.s3a.multipart.size memory is consumed for each (part)upload actively uploading (fs.s3a.threads.max) or queueing (fs.s3a.max.total.tasks)</description> </property> <property> <name>fs.s3a.fast.buffer.size</name> <value>1048576</value> <description>Size of initial memory buffer in bytes allocated for an upload. No effect if fs.s3a.fast.upload is false.</description> </property> <property> <name>fs.s3a.impl</name> <value>org.apache.hadoop.fs.s3a.S3AFileSystem</value> <description>The implementation class of the S3A Filesystem</description> </property> <property> <name>io.seqfile.compress.blocksize</name> <value>1000000</value> <description>The minimum block size for compression in block compressed SequenceFiles. </description> </property> <property> <name>io.seqfile.lazydecompress</name> <value>true</value> <description>Should values of block-compressed SequenceFiles be decompressed only when necessary. </description> </property> <property> <name>io.seqfile.sorter.recordlimit</name> <value>1000000</value> <description>The limit on number of records to be kept in memory in a spill in SequenceFiles.Sorter </description> </property> <property> <name>io.mapfile.bloom.size</name> <value>1048576</value> <description>The size of BloomFilter-s used in BloomMapFile. Each time this many keys is appended the next BloomFilter will be created (inside a DynamicBloomFilter). Larger values minimize the number of filters, which slightly increases the performance, but may waste too much space if the total number of keys is usually much smaller than this number. </description> </property> <property> <name>io.mapfile.bloom.error.rate</name> <value>0.005</value> <description>The rate of false positives in BloomFilter-s used in BloomMapFile. As this value decreases, the size of BloomFilter-s increases exponentially. This value is the probability of encountering false positives (default is 0.5%). </description> </property> <property> <name>hadoop.util.hash.type</name> <value>murmur</value> <description>The default implementation of Hash. Currently this can take one of the two values: 'murmur' to select MurmurHash and 'jenkins' to select JenkinsHash. </description> </property> <!-- ipc properties --> <property> <name>ipc.client.idlethreshold</name> <value>4000</value> <description>Defines the threshold number of connections after which connections will be inspected for idleness. </description> </property> <property> <name>ipc.client.kill.max</name> <value>10</value> <description>Defines the maximum number of clients to disconnect in one go. </description> </property> <property> <name>ipc.client.connection.maxidletime</name> <value>10000</value> <description>The maximum time in msec after which a client will bring down the connection to the server. </description> </property> <property> <name>ipc.client.connect.max.retries</name> <value>10</value> <description>Indicates the number of retries a client will make to establish a server connection. </description> </property> <property> <name>ipc.client.connect.retry.interval</name> <value>1000</value> <description>Indicates the number of milliseconds a client will wait for before retrying to establish a server connection. </description> </property> <property> <name>ipc.client.connect.timeout</name> <value>20000</value> <description>Indicates the number of milliseconds a client will wait for the socket to establish a server connection. </description> </property> <property> <name>ipc.client.connect.max.retries.on.timeouts</name> <value>45</value> <description>Indicates the number of retries a client will make on socket timeout to establish a server connection. </description> </property> <property> <name>ipc.client.ping</name> <value>true</value> <description>Send a ping to the server when timeout on reading the response, if set to true. If no failure is detected, the client retries until at least a byte is read. </description> </property> <property> <name>ipc.ping.interval</name> <value>60000</value> <description>Timeout on waiting response from server, in milliseconds. The client will send ping when the interval is passed without receiving bytes, if ipc.client.ping is set to true. </description> </property> <property> <name>ipc.client.rpc-timeout.ms</name> <value>0</value> <description>Timeout on waiting response from server, in milliseconds. Currently this timeout works only when ipc.client.ping is set to true because it uses the same facilities with IPC ping. The timeout overrides the ipc.ping.interval and client will throw exception instead of sending ping when the interval is passed. </description> </property> <property> <name>ipc.server.listen.queue.size</name> <value>128</value> <description>Indicates the length of the listen queue for servers accepting client connections. </description> </property> <property> <name>ipc.maximum.data.length</name> <value>67108864</value> <description>This indicates the maximum IPC message length (bytes) that can be accepted by the server. Messages larger than this value are rejected by server immediately. This setting should rarely need to be changed. It merits investigating whether the cause of long RPC messages can be fixed instead, e.g. by splitting into smaller messages. </description> </property> <property> <name>ipc.server.log.slow.rpc</name> <value>false</value> <description>This setting is useful to troubleshoot performance issues for various services. If this value is set to true then we log requests that fall into 99th percentile as well as increment RpcSlowCalls counter. </description> </property> <!-- Proxy Configuration --> <property> <name>hadoop.security.impersonation.provider.class</name> <value></value> <description>A class which implements ImpersonationProvider interface, used to authorize whether one user can impersonate a specific user. If not specified, the DefaultImpersonationProvider will be used. If a class is specified, then that class will be used to determine the impersonation capability. </description> </property> <property> <name>hadoop.rpc.socket.factory.class.default</name> <value>org.apache.hadoop.net.StandardSocketFactory</value> <description> Default SocketFactory to use. This parameter is expected to be formatted as "package.FactoryClassName". </description> </property> <property> <name>hadoop.rpc.socket.factory.class.ClientProtocol</name> <value></value> <description> SocketFactory to use to connect to a DFS. If null or empty, use hadoop.rpc.socket.class.default. This socket factory is also used by DFSClient to create sockets to DataNodes. </description> </property> <property> <name>hadoop.socks.server</name> <value></value> <description> Address (host:port) of the SOCKS server to be used by the SocksSocketFactory. </description> </property> <!-- Topology Configuration --> <property> <name>net.topology.node.switch.mapping.impl</name> <value>org.apache.hadoop.net.ScriptBasedMapping</value> <description> The default implementation of the DNSToSwitchMapping. It invokes a script specified in net.topology.script.file.name to resolve node names. If the value for net.topology.script.file.name is not set, the default value of DEFAULT_RACK is returned for all node names. </description> </property> <property> <name>net.topology.impl</name> <value>org.apache.hadoop.net.NetworkTopology</value> <description> The default implementation of NetworkTopology which is classic three layer one. </description> </property> <property> <name>net.topology.script.file.name</name> <value></value> <description> The script name that should be invoked to resolve DNS names to NetworkTopology names. Example: the script would take host.foo.bar as an argument, and return /rack1 as the output. </description> </property> <property> <name>net.topology.script.number.args</name> <value>100</value> <description> The max number of args that the script configured with net.topology.script.file.name should be run with. Each arg is an IP address. </description> </property> <property> <name>net.topology.table.file.name</name> <value></value> <description> The file name for a topology file, which is used when the net.topology.node.switch.mapping.impl property is set to org.apache.hadoop.net.TableMapping. The file format is a two column text file, with columns separated by whitespace. The first column is a DNS or IP address and the second column specifies the rack where the address maps. If no entry corresponding to a host in the cluster is found, then /default-rack is assumed. </description> </property> <!-- Local file system --> <property> <name>file.stream-buffer-size</name> <value>4096</value> <description>The size of buffer to stream files. The size of this buffer should probably be a multiple of hardware page size (4096 on Intel x86), and it determines how much data is buffered during read and write operations.</description> </property> <property> <name>file.bytes-per-checksum</name> <value>512</value> <description>The number of bytes per checksum. Must not be larger than file.stream-buffer-size</description> </property> <property> <name>file.client-write-packet-size</name> <value>65536</value> <description>Packet size for clients to write</description> </property> <property> <name>file.blocksize</name> <value>67108864</value> <description>Block size</description> </property> <property> <name>file.replication</name> <value>1</value> <description>Replication factor</description> </property> <!-- s3 File System --> <property> <name>s3.stream-buffer-size</name> <value>4096</value> <description>The size of buffer to stream files. The size of this buffer should probably be a multiple of hardware page size (4096 on Intel x86), and it determines how much data is buffered during read and write operations.</description> </property> <property> <name>s3.bytes-per-checksum</name> <value>512</value> <description>The number of bytes per checksum. Must not be larger than s3.stream-buffer-size</description> </property> <property> <name>s3.client-write-packet-size</name> <value>65536</value> <description>Packet size for clients to write</description> </property> <property> <name>s3.blocksize</name> <value>67108864</value> <description>Block size</description> </property> <property> <name>s3.replication</name> <value>3</value> <description>Replication factor</description> </property> <!-- s3native File System --> <property> <name>s3native.stream-buffer-size</name> <value>4096</value> <description>The size of buffer to stream files. The size of this buffer should probably be a multiple of hardware page size (4096 on Intel x86), and it determines how much data is buffered during read and write operations.</description> </property> <property> <name>s3native.bytes-per-checksum</name> <value>512</value> <description>The number of bytes per checksum. Must not be larger than s3native.stream-buffer-size</description> </property> <property> <name>s3native.client-write-packet-size</name> <value>65536</value> <description>Packet size for clients to write</description> </property> <property> <name>s3native.blocksize</name> <value>67108864</value> <description>Block size</description> </property> <property> <name>s3native.replication</name> <value>3</value> <description>Replication factor</description> </property> <!-- FTP file system --> <property> <name>ftp.stream-buffer-size</name> <value>4096</value> <description>The size of buffer to stream files. The size of this buffer should probably be a multiple of hardware page size (4096 on Intel x86), and it determines how much data is buffered during read and write operations.</description> </property> <property> <name>ftp.bytes-per-checksum</name> <value>512</value> <description>The number of bytes per checksum. Must not be larger than ftp.stream-buffer-size</description> </property> <property> <name>ftp.client-write-packet-size</name> <value>65536</value> <description>Packet size for clients to write</description> </property> <property> <name>ftp.blocksize</name> <value>67108864</value> <description>Block size</description> </property> <property> <name>ftp.replication</name> <value>3</value> <description>Replication factor</description> </property> <!-- Tfile --> <property> <name>tfile.io.chunk.size</name> <value>1048576</value> <description> Value chunk size in bytes. Default to 1MB. Values of the length less than the chunk size is guaranteed to have known value length in read time (See also TFile.Reader.Scanner.Entry.isValueLengthKnown()). </description> </property> <property> <name>tfile.fs.output.buffer.size</name> <value>262144</value> <description> Buffer size used for FSDataOutputStream in bytes. </description> </property> <property> <name>tfile.fs.input.buffer.size</name> <value>262144</value> <description> Buffer size used for FSDataInputStream in bytes. </description> </property> <!-- HTTP web-consoles Authentication --> <property> <name>hadoop.http.authentication.type</name> <value>simple</value> <description> Defines authentication used for Oozie HTTP endpoint. Supported values are: simple | kerberos | #AUTHENTICATION_HANDLER_CLASSNAME# </description> </property> <property> <name>hadoop.http.authentication.token.validity</name> <value>36000</value> <description> Indicates how long (in seconds) an authentication token is valid before it has to be renewed. </description> </property> <property> <name>hadoop.http.authentication.signature.secret.file</name> <value>${user.home}/hadoop-http-auth-signature-secret</value> <description> The signature secret for signing the authentication tokens. The same secret should be used for JT/NN/DN/TT configurations. </description> </property> <property> <name>hadoop.http.authentication.cookie.domain</name> <value></value> <description> The domain to use for the HTTP cookie that stores the authentication token. In order to authentiation to work correctly across all Hadoop nodes web-consoles the domain must be correctly set. IMPORTANT: when using IP addresses, browsers ignore cookies with domain settings. For this setting to work properly all nodes in the cluster must be configured to generate URLs with hostname.domain names on it. </description> </property> <property> <name>hadoop.http.authentication.simple.anonymous.allowed</name> <value>true</value> <description> Indicates if anonymous requests are allowed when using 'simple' authentication. </description> </property> <property> <name>hadoop.http.authentication.kerberos.principal</name> <value>HTTP/_HOST@LOCALHOST</value> <description> Indicates the Kerberos principal to be used for HTTP endpoint. The principal MUST start with 'HTTP/' as per Kerberos HTTP SPNEGO specification. </description> </property> <property> <name>hadoop.http.authentication.kerberos.keytab</name> <value>${user.home}/hadoop.keytab</value> <description> Location of the keytab file with the credentials for the principal. Referring to the same keytab file Oozie uses for its Kerberos credentials for Hadoop. </description> </property> <!-- HTTP CORS support --> <property> <description>Enable/disable the cross-origin (CORS) filter.</description> <name>hadoop.http.cross-origin.enabled</name> <value>false</value> </property> <property> <description>Comma separated list of origins that are allowed for web services needing cross-origin (CORS) support. Wildcards (*) and patterns allowed</description> <name>hadoop.http.cross-origin.allowed-origins</name> <value>*</value> </property> <property> <description>Comma separated list of methods that are allowed for web services needing cross-origin (CORS) support.</description> <name>hadoop.http.cross-origin.allowed-methods</name> <value>GET,POST,HEAD</value> </property> <property> <description>Comma separated list of headers that are allowed for web services needing cross-origin (CORS) support.</description> <name>hadoop.http.cross-origin.allowed-headers</name> <value>X-Requested-With,Content-Type,Accept,Origin</value> </property> <property> <description>The number of seconds a pre-flighted request can be cached for web services needing cross-origin (CORS) support.</description> <name>hadoop.http.cross-origin.max-age</name> <value>1800</value> </property> <property> <name>dfs.ha.fencing.methods</name> <value></value> <description> List of fencing methods to use for service fencing. May contain builtin methods (eg shell and sshfence) or user-defined method. </description> </property> <property> <name>dfs.ha.fencing.ssh.connect-timeout</name> <value>30000</value> <description> SSH connection timeout, in milliseconds, to use with the builtin sshfence fencer. </description> </property> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value></value> <description> The SSH private key files to use with the builtin sshfence fencer. </description> </property> <!-- Static Web User Filter properties. --> <property> <description> The user name to filter as, on static web filters while rendering content. An example use is the HDFS web UI (user to be used for browsing files). </description> <name>hadoop.http.staticuser.user</name> <value>dr.who</value> </property> <property> <name>ha.zookeeper.quorum</name> <description> A list of ZooKeeper server addresses, separated by commas, that are to be used by the ZKFailoverController in automatic failover. </description> </property> <property> <name>ha.zookeeper.session-timeout.ms</name> <value>5000</value> <description> The session timeout to use when the ZKFC connects to ZooKeeper. Setting this value to a lower value implies that server crashes will be detected more quickly, but risks triggering failover too aggressively in the case of a transient error or network blip. </description> </property> <property> <name>ha.zookeeper.parent-znode</name> <value>/hadoop-ha</value> <description> The ZooKeeper znode under which the ZK failover controller stores its information. Note that the nameservice ID is automatically appended to this znode, so it is not normally necessary to configure this, even in a federated environment. </description> </property> <property> <name>ha.zookeeper.acl</name> <value>world:anyone:rwcda</value> <description> A comma-separated list of ZooKeeper ACLs to apply to the znodes used by automatic failover. These ACLs are specified in the same format as used by the ZooKeeper CLI. If the ACL itself contains secrets, you may instead specify a path to a file, prefixed with the '@' symbol, and the value of this configuration will be loaded from within. </description> </property> <property> <name>ha.zookeeper.auth</name> <value></value> <description> A comma-separated list of ZooKeeper authentications to add when connecting to ZooKeeper. These are specified in the same format as used by the "addauth" command in the ZK CLI. It is important that the authentications specified here are sufficient to access znodes with the ACL specified in ha.zookeeper.acl. If the auths contain secrets, you may instead specify a path to a file, prefixed with the '@' symbol, and the value of this configuration will be loaded from within. </description> </property> <!-- SSLFactory configuration --> <property> <name>hadoop.ssl.keystores.factory.class</name> <value>org.apache.hadoop.security.ssl.FileBasedKeyStoresFactory</value> <description> The keystores factory to use for retrieving certificates. </description> </property> <property> <name>hadoop.ssl.require.client.cert</name> <value>false</value> <description>Whether client certificates are required</description> </property> <property> <name>hadoop.ssl.hostname.verifier</name> <value>DEFAULT</value> <description> The hostname verifier to provide for HttpsURLConnections. Valid values are: DEFAULT, STRICT, STRICT_I6, DEFAULT_AND_LOCALHOST and ALLOW_ALL </description> </property> <property> <name>hadoop.ssl.server.conf</name> <value>ssl-server.xml</value> <description> Resource file from which ssl server keystore information will be extracted. This file is looked up in the classpath, typically it should be in Hadoop conf/ directory. </description> </property> <property> <name>hadoop.ssl.client.conf</name> <value>ssl-client.xml</value> <description> Resource file from which ssl client keystore information will be extracted This file is looked up in the classpath, typically it should be in Hadoop conf/ directory. </description> </property> <property> <name>hadoop.ssl.enabled</name> <value>false</value> <description> Deprecated. Use dfs.http.policy and yarn.http.policy instead. </description> </property> <property> <name>hadoop.ssl.enabled.protocols</name> <value>TLSv1</value> <description> Protocols supported by the ssl. </description> </property> <property> <name>hadoop.jetty.logs.serve.aliases</name> <value>true</value> <description> Enable/Disable aliases serving from jetty </description> </property> <property> <name>fs.permissions.umask-mode</name> <value>022</value> <description> The umask used when creating files and directories. Can be in octal or in symbolic. Examples are: "022" (octal for u=rwx,g=r-x,o=r-x in symbolic), or "u=rwx,g=rwx,o=" (symbolic for 007 in octal). </description> </property> <!-- ha properties --> <property> <name>ha.health-monitor.connect-retry-interval.ms</name> <value>1000</value> <description> How often to retry connecting to the service. </description> </property> <property> <name>ha.health-monitor.check-interval.ms</name> <value>1000</value> <description> How often to check the service. </description> </property> <property> <name>ha.health-monitor.sleep-after-disconnect.ms</name> <value>1000</value> <description> How long to sleep after an unexpected RPC error. </description> </property> <property> <name>ha.health-monitor.rpc-timeout.ms</name> <value>45000</value> <description> Timeout for the actual monitorHealth() calls. </description> </property> <property> <name>ha.failover-controller.new-active.rpc-timeout.ms</name> <value>60000</value> <description> Timeout that the FC waits for the new active to become active </description> </property> <property> <name>ha.failover-controller.graceful-fence.rpc-timeout.ms</name> <value>5000</value> <description> Timeout that the FC waits for the old active to go to standby </description> </property> <property> <name>ha.failover-controller.graceful-fence.connection.retries</name> <value>1</value> <description> FC connection retries for graceful fencing </description> </property> <property> <name>ha.failover-controller.cli-check.rpc-timeout.ms</name> <value>20000</value> <description> Timeout that the CLI (manual) FC waits for monitorHealth, getServiceState </description> </property> <property> <name>ipc.client.fallback-to-simple-auth-allowed</name> <value>false</value> <description> When a client is configured to attempt a secure connection, but attempts to connect to an insecure server, that server may instruct the client to switch to SASL SIMPLE (unsecure) authentication. This setting controls whether or not the client will accept this instruction from the server. When false (the default), the client will not allow the fallback to SIMPLE authentication, and will abort the connection. </description> </property> <property> <name>fs.client.resolve.remote.symlinks</name> <value>true</value> <description> Whether to resolve symlinks when accessing a remote Hadoop filesystem. Setting this to false causes an exception to be thrown upon encountering a symlink. This setting does not apply to local filesystems, which automatically resolve local symlinks. </description> </property> <property> <name>nfs.exports.allowed.hosts</name> <value>* rw</value> <description> By default, the export can be mounted by any client. The value string contains machine name and access privilege, separated by whitespace characters. The machine name format can be a single host, a Java regular expression, or an IPv4 address. The access privilege uses rw or ro to specify read/write or read-only access of the machines to exports. If the access privilege is not provided, the default is read-only. Entries are separated by ";". For example: "192.168.0.0/22 rw ; host.*\.example\.com ; host1.test.org ro;". Only the NFS gateway needs to restart after this property is updated. </description> </property> <property> <name>hadoop.user.group.static.mapping.overrides</name> <value>dr.who=;</value> <description> Static mapping of user to groups. This will override the groups if available in the system for the specified user. In otherwords, groups look-up will not happen for these users, instead groups mapped in this configuration will be used. Mapping should be in this format. user1=group1,group2;user2=;user3=group2; Default, "dr.who=;" will consider "dr.who" as user without groups. </description> </property> <property> <name>rpc.metrics.quantile.enable</name> <value>false</value> <description> Setting this property to true and rpc.metrics.percentiles.intervals to a comma-separated list of the granularity in seconds, the 50/75/90/95/99th percentile latency for rpc queue/processing time in milliseconds are added to rpc metrics. </description> </property> <property> <name>rpc.metrics.percentiles.intervals</name> <value></value> <description> A comma-separated list of the granularity in seconds for the metrics which describe the 50/75/90/95/99th percentile latency for rpc queue/processing time. The metrics are outputted if rpc.metrics.quantile.enable is set to true. </description> </property> <property> <name>hadoop.security.crypto.codec.classes.EXAMPLECIPHERSUITE</name> <value></value> <description> The prefix for a given crypto codec, contains a comma-separated list of implementation classes for a given crypto codec (eg EXAMPLECIPHERSUITE). The first implementation will be used if available, others are fallbacks. </description> </property> <property> <name>hadoop.security.crypto.codec.classes.aes.ctr.nopadding</name> <value>org.apache.hadoop.crypto.OpensslAesCtrCryptoCodec,org.apache.hadoop.crypto.JceAesCtrCryptoCodec</value> <description> Comma-separated list of crypto codec implementations for AES/CTR/NoPadding. The first implementation will be used if available, others are fallbacks. </description> </property> <property> <name>hadoop.security.crypto.cipher.suite</name> <value>AES/CTR/NoPadding</value> <description> Cipher suite for crypto codec. </description> </property> <property> <name>hadoop.security.crypto.jce.provider</name> <value></value> <description> The JCE provider name used in CryptoCodec. </description> </property> <property> <name>hadoop.security.crypto.buffer.size</name> <value>8192</value> <description> The buffer size used by CryptoInputStream and CryptoOutputStream. </description> </property> <property> <name>hadoop.security.java.secure.random.algorithm</name> <value>SHA1PRNG</value> <description> The java secure random algorithm. </description> </property> <property> <name>hadoop.security.secure.random.impl</name> <value></value> <description> Implementation of secure random. </description> </property> <property> <name>hadoop.security.random.device.file.path</name> <value>/dev/urandom</value> <description> OS security random device file path. </description> </property> <property> <name>fs.har.impl.disable.cache</name> <value>true</value> <description>Don't cache 'har' filesystem instances.</description> </property> <!--- KMSClientProvider configurations --> <property> <name>hadoop.security.kms.client.authentication.retry-count</name> <value>1</value> <description> Number of time to retry connecting to KMS on authentication failure </description> </property> <property> <name>hadoop.security.kms.client.encrypted.key.cache.size</name> <value>500</value> <description> Size of the EncryptedKeyVersion cache Queue for each key </description> </property> <property> <name>hadoop.security.kms.client.encrypted.key.cache.low-watermark</name> <value>0.3f</value> <description> If size of the EncryptedKeyVersion cache Queue falls below the low watermark, this cache queue will be scheduled for a refill </description> </property> <property> <name>hadoop.security.kms.client.encrypted.key.cache.num.refill.threads</name> <value>2</value> <description> Number of threads to use for refilling depleted EncryptedKeyVersion cache Queues </description> </property> <property> <name>hadoop.security.kms.client.encrypted.key.cache.expiry</name> <value>43200000</value> <description> Cache expiry time for a Key, after which the cache Queue for this key will be dropped. Default = 12hrs </description> </property> <property> <name>hadoop.htrace.spanreceiver.classes</name> <value></value> <description> A comma separated list of the fully-qualified class name of classes implementing SpanReceiver. The tracing system works by collecting information in structs called 'Spans'. It is up to you to choose how you want to receive this information by implementing the SpanReceiver interface. </description> </property> <property> <name>ipc.server.max.connections</name> <value>0</value> <description>The maximum number of concurrent connections a server is allowed to accept. If this limit is exceeded, incoming connections will first fill the listen queue and then may go to an OS-specific listen overflow queue. The client may fail or timeout, but the server can avoid running out of file descriptors using this feature. 0 means no limit. </description> </property> <!-- YARN registry --> <property> <description> Is the registry enabled in the YARN Resource Manager? If true, the YARN RM will, as needed. create the user and system paths, and purge service records when containers, application attempts and applications complete. If false, the paths must be created by other means, and no automatic cleanup of service records will take place. </description> <name>hadoop.registry.rm.enabled</name> <value>false</value> </property> <property> <description> The root zookeeper node for the registry </description> <name>hadoop.registry.zk.root</name> <value>/registry</value> </property> <property> <description> Zookeeper session timeout in milliseconds </description> <name>hadoop.registry.zk.session.timeout.ms</name> <value>60000</value> </property> <property> <description> Zookeeper connection timeout in milliseconds </description> <name>hadoop.registry.zk.connection.timeout.ms</name> <value>15000</value> </property> <property> <description> Zookeeper connection retry count before failing </description> <name>hadoop.registry.zk.retry.times</name> <value>5</value> </property> <property> <description> </description> <name>hadoop.registry.zk.retry.interval.ms</name> <value>1000</value> </property> <property> <description> Zookeeper retry limit in milliseconds, during exponential backoff. This places a limit even if the retry times and interval limit, combined with the backoff policy, result in a long retry period </description> <name>hadoop.registry.zk.retry.ceiling.ms</name> <value>60000</value> </property> <property> <description> List of hostname:port pairs defining the zookeeper quorum binding for the registry </description> <name>hadoop.registry.zk.quorum</name> <value>localhost:2181</value> </property> <property> <description> Key to set if the registry is secure. Turning it on changes the permissions policy from "open access" to restrictions on kerberos with the option of a user adding one or more auth key pairs down their own tree. </description> <name>hadoop.registry.secure</name> <value>false</value> </property> <property> <description> A comma separated list of Zookeeper ACL identifiers with system access to the registry in a secure cluster. These are given full access to all entries. If there is an "@" at the end of a SASL entry it instructs the registry client to append the default kerberos domain. </description> <name>hadoop.registry.system.acls</name> <value>sasl:yarn@, sasl:mapred@, sasl:hdfs@</value> </property> <property> <description> The kerberos realm: used to set the realm of system principals which do not declare their realm, and any other accounts that need the value. If empty, the default realm of the running process is used. If neither are known and the realm is needed, then the registry service/client will fail. </description> <name>hadoop.registry.kerberos.realm</name> <value></value> </property> <property> <description> Key to define the JAAS context. Used in secure mode </description> <name>hadoop.registry.jaas.context</name> <value>Client</value> </property> <property> <name>hadoop.security.sensitive-config-keys</name> <value>password$,fs.s3.*[Ss]ecret.?[Kk]ey,fs.azure.account.key.*,dfs.webhdfs.oauth2.[a-z]+.token,hadoop.security.sensitive-config-keys</value> <description>A comma-separated list of regular expressions to match against configuration keys that should be redacted where appropriate, for example, when logging modified properties during a reconfiguration, private credentials should not be logged. </description> </property> </configuration>
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