HDFS-6394. HDFS encryption documentation. (wang)
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/branches/fs-encryption@1616016 13f79535-47bb-0310-9956-ffa450edef68
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@ -74,6 +74,8 @@ fs-encryption (Unreleased)
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HDFS-6780. Batch the encryption zones listing API. (wang)
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HDFS-6394. HDFS encryption documentation. (wang)
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OPTIMIZATIONS
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BUG FIXES
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@ -125,7 +125,7 @@ public String getName() {
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@Override
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public String getShortUsage() {
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return "[" + getName() + " -keyName <keyName> -path <path> " + "]\n";
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return "[" + getName() + " -keyName <keyName> -path <path>]\n";
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}
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@Override
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@ -187,7 +187,7 @@ public String getShortUsage() {
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@Override
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public String getLongUsage() {
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return getShortUsage() + "\n" +
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"List all encryption zones.\n\n";
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"List all encryption zones. Requires superuser permissions.\n\n";
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}
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@Override
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@ -0,0 +1,206 @@
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~~ Licensed under the Apache License, Version 2.0 (the "License");
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~~ you may not use this file except in compliance with the License.
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~~ You may obtain a copy of the License at
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~~
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~~ http://www.apache.org/licenses/LICENSE-2.0
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~~
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~~ Unless required by applicable law or agreed to in writing, software
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~~ distributed under the License is distributed on an "AS IS" BASIS,
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~~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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~~ See the License for the specific language governing permissions and
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~~ limitations under the License. See accompanying LICENSE file.
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---
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Hadoop Distributed File System-${project.version} - Transparent Encryption in HDFS
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---
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---
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${maven.build.timestamp}
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Transparent Encryption in HDFS
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%{toc|section=1|fromDepth=2|toDepth=3}
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* {Overview}
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HDFS implements <transparent>, <end-to-end> encryption.
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Once configured, data read from and written to HDFS is <transparently> encrypted and decrypted without requiring changes to user application code.
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This encryption is also <end-to-end>, which means the data can only be encrypted and decrypted by the client.
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HDFS never stores or has access to unencrypted data or data encryption keys.
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This satisfies two typical requirements for encryption: <at-rest encryption> (meaning data on persistent media, such as a disk) as well as <in-transit encryption> (e.g. when data is travelling over the network).
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* {Use Cases}
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Data encryption is required by a number of different government, financial, and regulatory entities.
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For example, the health-care industry has HIPAA regulations, the card payment industry has PCI DSS regulations, and the US government has FISMA regulations.
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Having transparent encryption built into HDFS makes it easier for organizations to comply with these regulations.
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Encryption can also be performed at the application-level, but by integrating it into HDFS, existing applications can operate on encrypted data without changes.
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This integrated architecture implies stronger encrypted file semantics and better coordination with other HDFS functions.
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* {Architecture}
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** {Key Management Server, KeyProvider, EDEKs}
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A new cluster service is required to store, manage, and access encryption keys: the Hadoop <Key Management Server (KMS)>.
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The KMS is a proxy that interfaces with a backing key store on behalf of HDFS daemons and clients.
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Both the backing key store and the KMS implement the Hadoop KeyProvider client API.
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See the {{{../../hadoop-kms/index.html}KMS documentation}} for more information.
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In the KeyProvider API, each encryption key has a unique <key name>.
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Because keys can be rolled, a key can have multiple <key versions>, where each key version has its own <key material> (the actual secret bytes used during encryption and decryption).
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An encryption key can be fetched by either its key name, returning the latest version of the key, or by a specific key version.
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The KMS implements additional functionality which enables creation and decryption of <encrypted encryption keys (EEKs)>.
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Creation and decryption of EEKs happens entirely on the KMS.
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Importantly, the client requesting creation or decryption of an EEK never handles the EEK's encryption key.
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To create a new EEK, the KMS generates a new random key, encrypts it with the specified key, and returns the EEK to the client.
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To decrypt an EEK, the KMS checks that the user has access to the encryption key, uses it to decrypt the EEK, and returns the decrypted encryption key.
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In the context of HDFS encryption, EEKs are <encrypted data encryption keys (EDEKs)>, where a <data encryption key (DEK)> is what is used to encrypt and decrypt file data.
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Typically, the key store is configured to only allow end users access to the keys used to encrypt DEKs.
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This means that EDEKs can be safely stored and handled by HDFS, since the HDFS user will not have access to EDEK encryption keys.
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** {Encryption zones}
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For transparent encryption, we introduce a new abstraction to HDFS: the <encryption zone>.
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An encryption zone is a special directory whose contents will be transparently encrypted upon write and transparently decrypted upon read.
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Each encryption zone is associated with a single <encryption zone key> which is specified when the zone is created.
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Each file within an encryption zone has its own unique EDEK.
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When creating a new file in an encryption zone, the NameNode asks the KMS to generate a new EDEK encrypted with the encryption zone's key.
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The EDEK is then stored persistently as part of the file's metadata on the NameNode.
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When reading a file within an encryption zone, the NameNode provides the client with the file's EDEK and the encryption zone key version used to encrypt the EDEK.
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The client then asks the KMS to decrypt the EDEK, which involves checking that the client has permission to access the encryption zone key version.
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Assuming that is successful, the client uses the DEK to decrypt the file's contents.
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All of the above steps for the read and write path happen automatically through interactions between the DFSClient, the NameNode, and the KMS.
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Access to encrypted file data and metadata is controlled by normal HDFS filesystem permissions.
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This means that if HDFS is compromised (for example, by gaining unauthorized access to an HDFS superuser account), a malicious user only gains access to ciphertext and encrypted keys.
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However, since access to encryption zone keys is controlled by a separate set of permissions on the KMS and key store, this does not pose a security threat.
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* {Configuration}
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A necessary prerequisite is an instance of the KMS, as well as a backing key store for the KMS.
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See the {{{../../hadoop-kms/index.html}KMS documentation}} for more information.
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** Selecting an encryption algorithm and codec
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*** hadoop.security.crypto.codec.classes.EXAMPLECIPHERSUITE
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The prefix for a given crypto codec, contains a comma-separated list of implementation classes for a given crypto codec (eg EXAMPLECIPHERSUITE).
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The first implementation will be used if available, others are fallbacks.
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*** hadoop.security.crypto.codec.classes.aes.ctr.nopadding
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Default: <<<org.apache.hadoop.crypto.OpensslAesCtrCryptoCodec,org.apache.hadoop.crypto.JceAesCtrCryptoCodec>>>
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Comma-separated list of crypto codec implementations for AES/CTR/NoPadding.
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The first implementation will be used if available, others are fallbacks.
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*** hadoop.security.crypto.cipher.suite
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Default: <<<AES/CTR/NoPadding>>>
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Cipher suite for crypto codec.
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*** hadoop.security.crypto.jce.provider
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Default: None
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The JCE provider name used in CryptoCodec.
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*** hadoop.security.crypto.buffer.size
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Default: <<<8192>>>
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The buffer size used by CryptoInputStream and CryptoOutputStream.
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** Namenode configuration
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*** dfs.namenode.list.encryption.zones.num.responses
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Default: <<<100>>>
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When listing encryption zones, the maximum number of zones that will be returned in a batch.
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Fetching the list incrementally in batches improves namenode performance.
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* {<<<crypto>>> command-line interface}
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** {createZone}
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Usage: <<<[-createZone -keyName <keyName> -path <path>]>>>
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Create a new encryption zone.
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*--+--+
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<path> | The path of the encryption zone to create. It must be an empty directory.
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*--+--+
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<keyName> | Name of the key to use for the encryption zone.
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*--+--+
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** {listZones}
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Usage: <<<[-listZones]>>>
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List all encryption zones. Requires superuser permissions.
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* {Attack vectors}
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** {Hardware access exploits}
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These exploits assume that attacker has gained physical access to hard drives from cluster machines, i.e. datanodes and namenodes.
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[[1]] Access to swap files of processes containing data encryption keys.
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* By itself, this does not expose cleartext, as it also requires access to encrypted block files.
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* This can be mitigated by disabling swap, using encrypted swap, or using mlock to prevent keys from being swapped out.
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[[1]] Access to encrypted block files.
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* By itself, this does not expose cleartext, as it also requires access to DEKs.
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** {Root access exploits}
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These exploits assume that attacker has gained root shell access to cluster machines, i.e. datanodes and namenodes.
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Many of these exploits cannot be addressed in HDFS, since a malicious root user has access to the in-memory state of processes holding encryption keys and cleartext.
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For these exploits, the only mitigation technique is carefully restricting and monitoring root shell access.
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[[1]] Access to encrypted block files.
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* By itself, this does not expose cleartext, as it also requires access to encryption keys.
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[[1]] Dump memory of client processes to obtain DEKs, delegation tokens, cleartext.
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* No mitigation.
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[[1]] Recording network traffic to sniff encryption keys and encrypted data in transit.
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* By itself, insufficient to read cleartext without the EDEK encryption key.
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[[1]] Dump memory of datanode process to obtain encrypted block data.
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* By itself, insufficient to read cleartext without the DEK.
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[[1]] Dump memory of namenode process to obtain encrypted data encryption keys.
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* By itself, insufficient to read cleartext without the EDEK's encryption key and encrypted block files.
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** {HDFS admin exploits}
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These exploits assume that the attacker has compromised HDFS, but does not have root or <<<hdfs>>> user shell access.
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[[1]] Access to encrypted block files.
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* By itself, insufficient to read cleartext without the EDEK and EDEK encryption key.
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[[1]] Access to encryption zone and encrypted file metadata (including encrypted data encryption keys), via -fetchImage.
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* By itself, insufficient to read cleartext without EDEK encryption keys.
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** {Rogue user exploits}
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A rogue user can collect keys to which they have access, and use them later to decrypt encrypted data.
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This can be mitigated through periodic key rolling policies.
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<item name="HDFS NFS Gateway" href="hadoop-project-dist/hadoop-hdfs/HdfsNfsGateway.html"/>
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<item name="HDFS Rolling Upgrade" href="hadoop-project-dist/hadoop-hdfs/HdfsRollingUpgrade.html"/>
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<item name="Extended Attributes" href="hadoop-project-dist/hadoop-hdfs/ExtendedAttributes.html"/>
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<item name="Transparent Encryption" href="hadoop-project-dist/hadoop-hdfs/TransparentEncryption.html"/>
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<item name="HDFS Support for Multihoming" href="hadoop-project-dist/hadoop-hdfs/HdfsMultihoming.html"/>
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</menu>
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