Hadoop Azure Support: ABFS — Azure Data Lake Storage Gen2

Concepts

The Azure Storage data model presents 3 core concepts:

• Storage Account: All access is done through a storage account.
• Container: A container is a grouping of multiple blobs. A storage account may have multiple containers. In Hadoop, an entire file system hierarchy is stored in a single container.
• Blob: A file of any type and size stored with the existing wasb connector

The ABFS connector connects to classic containers, or those created with Hierarchical Namespaces.

Creating an Azure Storage Account

The best documentation on getting started with Azure Datalake Gen2 with the abfs connector is Using Azure Data Lake Storage Gen2 with Azure HDInsight clusters

It includes instructions to create it from the Azure command line tool, which can be installed on Windows, MacOS (via Homebrew) and Linux (apt or yum).

The az storage subcommand handles all storage commands, az storage account create does the creation.

Until the ADLS gen2 API support is finalized, you need to add an extension to the ADLS command.

az extension add --name storage-preview

Check that all is well by verifying that the usage command includes --hierarchical-namespace:

$  az storage account
usage: az storage account create [-h] [--verbose] [--debug]
     [--output {json,jsonc,table,tsv,yaml,none}]
     [--query JMESPATH] --resource-group
     RESOURCE_GROUP_NAME --name ACCOUNT_NAME
     [--sku {Standard_LRS,Standard_GRS,Standard_RAGRS,Standard_ZRS,Premium_LRS,Premium_ZRS}]
     [--location LOCATION]
     [--kind {Storage,StorageV2,BlobStorage,FileStorage,BlockBlobStorage}]
     [--tags [TAGS [TAGS ...]]]
     [--custom-domain CUSTOM_DOMAIN]
     [--encryption-services {blob,file,table,queue} [{blob,file,table,queue} ...]]
     [--access-tier {Hot,Cool}]
     [--https-only [{true,false}]]
     [--file-aad [{true,false}]]
     [--hierarchical-namespace [{true,false}]]
     [--bypass {None,Logging,Metrics,AzureServices} [{None,Logging,Metrics,AzureServices} ...]]
     [--default-action {Allow,Deny}]
     [--assign-identity]
     [--subscription _SUBSCRIPTION]

You can list locations from az account list-locations, which lists the name to refer to in the --location argument:

$ az account list-locations -o table

DisplayName          Latitude    Longitude    Name
-------------------  ----------  -----------  ------------------
East Asia            22.267      114.188      eastasia
Southeast Asia       1.283       103.833      southeastasia
Central US           41.5908     -93.6208     centralus
East US              37.3719     -79.8164     eastus
East US 2            36.6681     -78.3889     eastus2
West US              37.783      -122.417     westus
North Central US     41.8819     -87.6278     northcentralus
South Central US     29.4167     -98.5        southcentralus
North Europe         53.3478     -6.2597      northeurope
West Europe          52.3667     4.9          westeurope
Japan West           34.6939     135.5022     japanwest
Japan East           35.68       139.77       japaneast
Brazil South         -23.55      -46.633      brazilsouth
Australia East       -33.86      151.2094     australiaeast
Australia Southeast  -37.8136    144.9631     australiasoutheast
South India          12.9822     80.1636      southindia
Central India        18.5822     73.9197      centralindia
West India           19.088      72.868       westindia
Canada Central       43.653      -79.383      canadacentral
Canada East          46.817      -71.217      canadaeast
UK South             50.941      -0.799       uksouth
UK West              53.427      -3.084       ukwest
West Central US      40.890      -110.234     westcentralus
West US 2            47.233      -119.852     westus2
Korea Central        37.5665     126.9780     koreacentral
Korea South          35.1796     129.0756     koreasouth
France Central       46.3772     2.3730       francecentral
France South         43.8345     2.1972       francesouth
Australia Central    -35.3075    149.1244     australiacentral
Australia Central 2  -35.3075    149.1244     australiacentral2

Once a location has been chosen, create the account

az storage account create --verbose \
    --name abfswales1 \
    --resource-group devteam2 \
    --kind StorageV2 \
    --hierarchical-namespace true \
    --location ukwest \
    --sku Standard_LRS \
    --https-only true \
    --encryption-services blob \
    --access-tier Hot \
    --tags owner=engineering \
    --assign-identity \
    --output jsonc

The output of the command is a JSON file, whose primaryEndpoints command includes the name of the store endpoint:

{
  "primaryEndpoints": {
    "blob": "https://abfswales1.blob.core.windows.net/",
    "dfs": "https://abfswales1.dfs.core.windows.net/",
    "file": "https://abfswales1.file.core.windows.net/",
    "queue": "https://abfswales1.queue.core.windows.net/",
    "table": "https://abfswales1.table.core.windows.net/",
    "web": "https://abfswales1.z35.web.core.windows.net/"
  }
}

The abfswales1.dfs.core.windows.net account is the name by which the storage account will be referred to.

Now ask for the connection string to the store, which contains the account key

az storage account  show-connection-string --name abfswales1
{
  "connectionString": "DefaultEndpointsProtocol=https;EndpointSuffix=core.windows.net;AccountName=abfswales1;AccountKey=ZGlkIHlvdSByZWFsbHkgdGhpbmsgSSB3YXMgZ29pbmcgdG8gcHV0IGEga2V5IGluIGhlcmU/IA=="
}

You then need to add the access key to your core-site.xml, JCEKs file or use your cluster management tool to set it the option fs.azure.account.key.STORAGE-ACCOUNT to this value.

<property>
  <name>fs.azure.account.key.abfswales1.dfs.core.windows.net</name>
  <value>ZGlkIHlvdSByZWFsbHkgdGhpbmsgSSB3YXMgZ29pbmcgdG8gcHV0IGEga2V5IGluIGhlcmU/IA==</value>
</property>

Creating a new container

An Azure storage account can have multiple containers, each with the container name as the userinfo field of the URI used to reference it.

For example, the container “container1” in the storage account just created will have the URL abfs://container1@abfswales1.dfs.core.windows.net/

You can create a new container through the ABFS connector, by setting the option fs.azure.createRemoteFileSystemDuringInitialization to true. Though the same is not supported when AuthType is SAS.

If the container does not exist, an attempt to list it with hadoop fs -ls will fail

$ hadoop fs -ls abfs://container1@abfswales1.dfs.core.windows.net/

ls: `abfs://container1@abfswales1.dfs.core.windows.net/': No such file or directory

Enable remote FS creation and the second attempt succeeds, creating the container as it does so:

$ hadoop fs -D fs.azure.createRemoteFileSystemDuringInitialization=true \
 -ls abfs://container1@abfswales1.dfs.core.windows.net/

This is useful for creating accounts on the command line, especially before the az storage command supports hierarchical namespaces completely.

Listing and examining containers of a Storage Account.

You can use the Azure Storage Explorer

AAD Token fetch retries

The exponential retry policy used for the AAD token fetch retries can be tuned with the following configurations. * fs.azure.oauth.token.fetch.retry.max.retries: Sets the maximum number of retries. Default value is 5. * fs.azure.oauth.token.fetch.retry.min.backoff.interval: Minimum back-off interval. Added to the retry interval computed from delta backoff. By default this is set as 0. Set the interval in milli seconds. * fs.azure.oauth.token.fetch.retry.max.backoff.interval: Maximum back-off interval. Default value is 60000 (sixty seconds). Set the interval in milli seconds. * fs.azure.oauth.token.fetch.retry.delta.backoff: Back-off interval between retries. Multiples of this timespan are used for subsequent retry attempts . The default value is 2.

Default: Shared Key

This is the simplest authentication mechanism of account + password.

The account name is inferred from the URL; the password, “key”, retrieved from the XML/JCECKs configuration files.

<property>
  <name>fs.azure.account.auth.type.abfswales1.dfs.core.windows.net</name>
  <value>SharedKey</value>
  <description>
  </description>
</property>
<property>
  <name>fs.azure.account.key.abfswales1.dfs.core.windows.net</name>
  <value>ZGlkIHlvdSByZWFsbHkgdGhpbmsgSSB3YXMgZ29pbmcgdG8gcHV0IGEga2V5IGluIGhlcmU/IA==</value>
  <description>
  The secret password. Never share these.
  </description>
</property>

Note: The source of the account key can be changed through a custom key provider; one exists to execute a shell script to retrieve it.

A custom key provider class can be provided with the config fs.azure.account.keyprovider. If a key provider class is specified the same will be used to get account key. Otherwise the Simple key provider will be used which will use the key specified for the config fs.azure.account.key.

To retrieve using shell script, specify the path to the script for the config fs.azure.shellkeyprovider.script. ShellDecryptionKeyProvider class use the script specified to retrieve the key.

OAuth 2.0 Client Credentials

OAuth 2.0 credentials of (client id, client secret, endpoint) are provided in the configuration/JCEKS file.

The specifics of this process is covered in hadoop-azure-datalake; the key names are slightly different here.

<property>
  <name>fs.azure.account.auth.type</name>
  <value>OAuth</value>
  <description>
  Use OAuth authentication
  </description>
</property>
<property>
  <name>fs.azure.account.oauth.provider.type</name>
  <value>org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider</value>
  <description>
  Use client credentials
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.client.endpoint</name>
  <value></value>
  <description>
  URL of OAuth endpoint
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.client.id</name>
  <value></value>
  <description>
  Client ID
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.client.secret</name>
  <value></value>
  <description>
  Secret
  </description>
</property>

OAuth 2.0: Username and Password

An OAuth 2.0 endpoint, username and password are provided in the configuration/JCEKS file.

<property>
  <name>fs.azure.account.auth.type</name>
  <value>OAuth</value>
  <description>
  Use OAuth authentication
  </description>
</property>
<property>
  <name>fs.azure.account.oauth.provider.type</name>
  <value>org.apache.hadoop.fs.azurebfs.oauth2.UserPasswordTokenProvider</value>
  <description>
  Use user and password
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.client.endpoint</name>
  <value></value>
  <description>
  URL of OAuth 2.0 endpoint
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.user.name</name>
  <value></value>
  <description>
  username
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.user.password</name>
  <value></value>
  <description>
  password for account
  </description>
</property>

OAuth 2.0: Refresh Token

With an existing Oauth 2.0 token, make a request of the Active Directory endpoint https://login.microsoftonline.com/Common/oauth2/token for this token to be refreshed.

<property>
  <name>fs.azure.account.auth.type</name>
  <value>OAuth</value>
  <description>
  Use OAuth 2.0 authentication
  </description>
</property>
<property>
  <name>fs.azure.account.oauth.provider.type</name>
  <value>org.apache.hadoop.fs.azurebfs.oauth2.RefreshTokenBasedTokenProvider</value>
  <description>
  Use the Refresh Token Provider
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.refresh.token</name>
  <value></value>
  <description>
  Refresh token
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.refresh.endpoint</name>
  <value></value>
  <description>
  Refresh token endpoint
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.client.id</name>
  <value></value>
  <description>
  Optional Client ID
  </description>
</property>

Azure Managed Identity

Azure Managed Identities, formerly “Managed Service Identities”.

OAuth 2.0 tokens are issued by a special endpoint only accessible from the executing VM (http://169.254.169.254/metadata/identity/oauth2/token). The issued credentials can be used to authenticate.

The Azure Portal/CLI is used to create the service identity.

<property>
  <name>fs.azure.account.auth.type</name>
  <value>OAuth</value>
  <description>
  Use OAuth authentication
  </description>
</property>
<property>
  <name>fs.azure.account.oauth.provider.type</name>
  <value>org.apache.hadoop.fs.azurebfs.oauth2.MsiTokenProvider</value>
  <description>
  Use MSI for issuing OAuth tokens
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.msi.tenant</name>
  <value></value>
  <description>
  Optional MSI Tenant ID
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.msi.endpoint</name>
  <value></value>
  <description>
   MSI endpoint
  </description>
</property>
<property>
  <name>fs.azure.account.oauth2.client.id</name>
  <value></value>
  <description>
  Optional Client ID
  </description>
</property>

Custom OAuth 2.0 Token Provider

A Custom OAuth 2.0 token provider supplies the ABFS connector with an OAuth 2.0 token when its getAccessToken() method is invoked.

<property>
  <name>fs.azure.account.auth.type</name>
  <value>Custom</value>
  <description>
  Custom Authentication
  </description>
</property>
<property>
  <name>fs.azure.account.oauth.provider.type</name>
  <value></value>
  <description>
  classname of Custom Authentication Provider
  </description>
</property>

The declared class must implement org.apache.hadoop.fs.azurebfs.extensions.CustomTokenProviderAdaptee and optionally org.apache.hadoop.fs.azurebfs.extensions.BoundDTExtension.

The declared class also holds responsibility to implement retry logic while fetching access tokens.

Delegation Token Provider

A delegation token provider supplies the ABFS connector with delegation tokens, helps renew and cancel the tokens by implementing the CustomDelegationTokenManager interface.

<property>
  <name>fs.azure.enable.delegation.token</name>
  <value>true</value>
  <description>Make this true to use delegation token provider</description>
</property>
<property>
  <name>fs.azure.delegation.token.provider.type</name>
  <value>{fully-qualified-class-name-for-implementation-of-CustomDelegationTokenManager-interface}</value>
</property>

In case delegation token is enabled, and the config fs.azure.delegation.token .provider.type is not provided then an IlleagalArgumentException is thrown.

Shared Access Signature (SAS) Token Provider

A Shared Access Signature (SAS) token provider supplies the ABFS connector with SAS tokens by implementing the SASTokenProvider interface.

<property>
  <name>fs.azure.account.auth.type</name>
  <value>SAS</value>
</property>
<property>
  <name>fs.azure.sas.token.provider.type</name>
  <value>{fully-qualified-class-name-for-implementation-of-SASTokenProvider-interface}</value>
</property>

The declared class must implement org.apache.hadoop.fs.azurebfs.extensions.SASTokenProvider.

Proxy setup

The connector uses the JVM proxy settings to control its proxy setup.

See The Oracle Java documentation for the options to set.

As the connector uses HTTPS by default, the https.proxyHost and https.proxyPort options are those which must be configured.

In MapReduce jobs, including distcp, the proxy options must be set in both the mapreduce.map.java.opts and mapreduce.reduce.java.opts.

# this variable is only here to avoid typing the same values twice.
# It's name is not important.
export DISTCP_PROXY_OPTS="-Dhttps.proxyHost=web-proxy.example.com -Dhttps.proxyPort=80"

hadoop distcp \
  -D mapreduce.map.java.opts="$DISTCP_PROXY_OPTS" \
  -D mapreduce.reduce.java.opts="$DISTCP_PROXY_OPTS" \
  -update -skipcrccheck -numListstatusThreads 40 \
  hdfs://namenode:8020/users/alice abfs://backups@account.dfs.core.windows.net/users/alice

Without these settings, even though access to ADLS may work from the command line, distcp access can fail with network errors.

Security

As with other object stores, login secrets are valuable pieces of information. Organizations should have a process for safely sharing them.

Limitations of the ABFS connector

• File last access time is not tracked.
• Extended attributes are not supported.
• File Checksums are not supported.
• The Syncable interfaces hsync() and hflush() operations are supported if fs.azure.enable.flush is set to true (default=true). With the Wasb connector, this limited the number of times either call could be made to 50,000 HADOOP-15478. If abfs has the a similar limit, then excessive use of sync/flush may cause problems.

Consistency and Concurrency

As with all Azure storage services, the Azure Datalake Gen 2 store offers a fully consistent view of the store, with complete Create, Read, Update, and Delete consistency for data and metadata.

Performance and Scalability

For containers with hierarchical namespaces, the scalability numbers are, in Big-O-notation, as follows:

For non-namespace stores, the scalability becomes:

That is: the more files there are, the slower directory operations get.

Further reading: Azure Storage Scalability Targets

Extensibility

The ABFS connector supports a number of limited-private/unstable extension points for third-parties to integrate their authentication and authorization services into the ABFS client.

• CustomDelegationTokenManager : adds ability to issue Hadoop Delegation Tokens.
• SASTokenProvider: allows for custom provision of Azure Storage Shared Access Signature (SAS) tokens.
• CustomTokenProviderAdaptee: allows for custom provision of Azure OAuth tokens.
• KeyProvider.

Consult the source in org.apache.hadoop.fs.azurebfs.extensions and all associated tests to see how to make use of these extension points.

Warning These extension points are unstable.

Client Correlation Options

Flush Options

Hundred Continue Options

fs.azure.account.expect.header.enabled: This configuration parameter is used to specify whether you wish to send a expect 100 continue header with each append request or not. It is configured to true by default. This flag configures the client to check with the Azure store before uploading a block of data from an output stream. This allows the client to throttle back gracefully -before actually attempting to upload the block. In experiments this provides significant throughput improvements under heavy load. For more information : - https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Expect

Account level throttling Options

fs.azure.account.operation.idle.timeout: This value specifies the time after which the timer for the analyzer (read or write) should be paused until no new request is made again. The default value for the same is 60 seconds.

HNS Check Options

Config fs.azure.account.hns.enabled provides an option to specify whether the storage account is HNS enabled or not. In case the config is not provided, a server call is made to check the same.

Access Options

Config fs.azure.enable.check.access needs to be set true to enable the AzureBlobFileSystem.access().

Operation Idempotency

Requests failing due to server timeouts and network failures will be retried. PUT/POST operations are idempotent and need no specific handling except for Rename and Delete operations.

Rename idempotency checks are made by ensuring the LastModifiedTime on destination is recent if source path is found to be non-existent on retry.

Delete is considered to be idempotent by default if the target does not exist on retry.

Primary User Group Options

The group name which is part of FileStatus and AclStatus will be set the same as the username if the following config is set to true fs.azure.skipUserGroupMetadataDuringInitialization.

IO Options

The following configs are related to read and write operations.

fs.azure.io.retry.max.retries: Sets the number of retries for IO operations. Currently this is used only for the server call retry logic. Used within AbfsClient class as part of the ExponentialRetryPolicy. The value should be greater than or equal to 0.

fs.azure.io.retry.min.backoff.interval: Sets the minimum backoff interval for retries of IO operations. Currently this is used only for the server call retry logic. Used within AbfsClient class as part of the ExponentialRetryPolicy. This value indicates the smallest interval (in milliseconds) to wait before retrying an IO operation. The default value is 3000 (3 seconds).

fs.azure.io.retry.max.backoff.interval: Sets the maximum backoff interval for retries of IO operations. Currently this is used only for the server call retry logic. Used within AbfsClient class as part of the ExponentialRetryPolicy. This value indicates the largest interval (in milliseconds) to wait before retrying an IO operation. The default value is 30000 (30 seconds).

fs.azure.io.retry.backoff.interval: Sets the default backoff interval for retries of IO operations. Currently this is used only for the server call retry logic. Used within AbfsClient class as part of the ExponentialRetryPolicy. This value is used to compute a random delta between 80% and 120% of the specified value. This random delta is then multiplied by an exponent of the current IO retry number (i.e., the default is multiplied by 2^(retryNum - 1)) and then contstrained within the range of [fs.azure.io.retry.min.backoff.interval, fs.azure.io.retry.max.backoff.interval] to determine the amount of time to wait before the next IO retry attempt. The default value is 3000 (3 seconds).

fs.azure.write.request.size: To set the write buffer size. Specify the value in bytes. The value should be between 16384 to 104857600 both inclusive (16 KB to 100 MB). The default value will be 8388608 (8 MB).

fs.azure.read.request.size: To set the read buffer size.Specify the value in bytes. The value should be between 16384 to 104857600 both inclusive (16 KB to 100 MB). The default value will be 4194304 (4 MB).

fs.azure.read.alwaysReadBufferSize: Read request size configured by fs.azure.read.request.size will be honoured only when the reads done are in sequential pattern. When the read pattern is detected to be random, read size will be same as the buffer length provided by the calling process. This config when set to true will force random reads to also read in same request sizes as sequential reads. This is a means to have same read patterns as of ADLS Gen1, as it does not differentiate read patterns and always reads by the configured read request size. The default value for this config will be false, where reads for the provided buffer length is done when random read pattern is detected.

fs.azure.readaheadqueue.depth: Sets the readahead queue depth in AbfsInputStream. In case the set value is negative the read ahead queue depth will be set as Runtime.getRuntime().availableProcessors(). By default the value will be 2. To disable readaheads, set this value to 0. If your workload is doing only random reads (non-sequential) or you are seeing throttling, you may try setting this value to 0.

fs.azure.read.readahead.blocksize: To set the read buffer size for the read aheads. Specify the value in bytes. The value should be between 16384 to 104857600 both inclusive (16 KB to 100 MB). The default value will be 4194304 (4 MB).

fs.azure.buffered.pread.disable: By default the positional read API will do a seek and read on input stream. This read will fill the buffer cache in AbfsInputStream and update the cursor positions. If this optimization is true it will skip usage of buffer and do a lock free REST call for reading from blob. This optimization is very much helpful for HBase kind of short random read over a shared AbfsInputStream instance. Note: This is not a config which can be set at cluster level. It can be used as an option on FutureDataInputStreamBuilder. See FileSystem#openFile(Path path)

To run under limited memory situations configure the following. Especially when there are too many writes from the same process.

fs.azure.write.max.concurrent.requests: To set the maximum concurrent write requests from an AbfsOutputStream instance to server at any point of time. Effectively this will be the threadpool size within the AbfsOutputStream instance. Set the value in between 1 to 8 both inclusive.

fs.azure.write.max.requests.to.queue: To set the maximum write requests that can be queued. Memory consumption of AbfsOutputStream instance can be tuned with this config considering each queued request holds a buffer. Set the value 3 or 4 times the value set for s.azure.write.max.concurrent.requests.

fs.azure.analysis.period: The time after which sleep duration is recomputed after analyzing metrics. The default value for the same is 10 seconds.

Security Options

fs.azure.always.use.https: Enforces to use HTTPS instead of HTTP when the flag is made true. Irrespective of the flag, AbfsClient will use HTTPS if the secure scheme (ABFSS) is used or OAuth is used for authentication. By default this will be set to true.

fs.azure.ssl.channel.mode: Initializing DelegatingSSLSocketFactory with the specified SSL channel mode. Value should be of the enum DelegatingSSLSocketFactory.SSLChannelMode. The default value will be DelegatingSSLSocketFactory.SSLChannelMode.Default.

Encryption Options

Only one of the following two options can be configured. If config values of both types are set, ABFS driver will throw an exception. If using the global key type, ensure both pre-computed values are provided.

Server Options

When the config fs.azure.io.read.tolerate.concurrent.append is made true, the If-Match header sent to the server for read calls will be set as * otherwise the same will be set with ETag. This is basically a mechanism in place to handle the reads with optimistic concurrency. Please refer the following links for further information. 1. https://docs.microsoft.com/en-us/rest/api/storageservices/datalakestoragegen2/path/read 2. https://azure.microsoft.com/de-de/blog/managing-concurrency-in-microsoft-azure-storage-2/

listStatus API fetches the FileStatus information from server in a page by page manner. The config fs.azure.list.max.results used to set the maxResults URI param which sets the pagesize(maximum results per call). The value should be > 0. By default this will be 5000. Server has a maximum value for this parameter as 5000. So even if the config is above 5000 the response will only contain 5000 entries. Please refer the following link for further information. https://docs.microsoft.com/en-us/rest/api/storageservices/datalakestoragegen2/path/list

Throttling Options

ABFS driver has the capability to throttle read and write operations to achieve maximum throughput by minimizing errors. The errors occur when the account ingress or egress limits are exceeded and, the server-side throttles requests. Server-side throttling causes the retry policy to be used, but the retry policy sleeps for long periods of time causing the total ingress or egress throughput to be as much as 35% lower than optimal. The retry policy is also after the fact, in that it applies after a request fails. On the other hand, the client-side throttling implemented here happens before requests are made and sleeps just enough to minimize errors, allowing optimal ingress and/or egress throughput. By default the throttling mechanism is enabled in the driver. The same can be disabled by setting the config fs.azure.enable.autothrottling to false.

Rename Options

fs.azure.atomic.rename.key: Directories for atomic rename support can be specified comma separated in this config. The driver prints the following warning log if the source of the rename belongs to one of the configured directories. “The atomic rename feature is not supported by the ABFS scheme ; however, rename, create and delete operations are atomic if Namespace is enabled for your Azure Storage account.” The directories can be specified as comma separated values. By default the value is “/hbase”

Infinite Lease Options

fs.azure.infinite-lease.directories: Directories for infinite lease support can be specified comma separated in this config. By default, multiple clients will be able to write to the same file simultaneously. When writing to files contained within the directories specified in this config, the client will obtain a lease on the file that will prevent any other clients from writing to the file. When the output stream is closed, the lease will be released. To revoke a client’s write access for a file, the AzureBlobFilesystem breakLease method may be called. If the client dies before the file can be closed and the lease released, breakLease will need to be called before another client will be able to write to the file.

fs.azure.lease.threads: This is the size of the thread pool that will be used for lease operations for infinite lease directories. By default the value is 0, so it must be set to at least 1 to support infinite lease directories.

Perf Options

h=KARMA t=2019-10-25T20:21:14.518Z a=abfstest01.dfs.core.windows.net
c=abfs-testcontainer-84828169-6488-4a62-a875-1e674275a29f cr=delete ce=deletePath
r=Succeeded l=32 ls=32 lc=1 s=200 e= ci=95121dae-70a8-4187-b067-614091034558
ri=97effdcf-201f-0097-2d71-8bae00000000 ct=0 st=0 rt=0 bs=0 br=0 m=DELETE
u=https%3A%2F%2Fabfstest01.dfs.core.windows.net%2Ftestcontainer%2Ftest%3Ftimeout%3D90%26recursive%3Dtrue

ClassNotFoundException: org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem

The hadoop-azure JAR is not on the classpah.

java.lang.RuntimeException: java.lang.ClassNotFoundException:
    Class org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem not found
  at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2625)
  at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:3290)
  at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3322)
  at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:136)
  at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3373)
  at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3341)
  at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:491)
  at org.apache.hadoop.fs.Path.getFileSystem(Path.java:361)
Caused by: java.lang.ClassNotFoundException:
    Class org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem not found
  at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2529)
  at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2623)
  ... 16 more

Tip: if this is happening on the command line, you can turn on debug logging of the hadoop scripts:

export HADOOP_SHELL_SCRIPT_DEBUG=true

If this is happening on an application running within the cluster, it means the cluster (somehow) needs to be configured so that the hadoop-azure module and dependencies are on the classpath of deployed applications.

ClassNotFoundException: com.microsoft.azure.storage.StorageErrorCode

The azure-storage JAR is not on the classpath.

Server failed to authenticate the request

The request wasn’t authenticated while using the default shared-key authentication mechanism.

Operation failed: "Server failed to authenticate the request.
 Make sure the value of Authorization header is formed correctly including the signature.",
 403, HEAD, https://account.dfs.core.windows.net/container2?resource=filesystem&timeout=90
  at org.apache.hadoop.fs.azurebfs.services.AbfsRestOperation.execute(AbfsRestOperation.java:135)
  at org.apache.hadoop.fs.azurebfs.services.AbfsClient.getFilesystemProperties(AbfsClient.java:209)
  at org.apache.hadoop.fs.azurebfs.AzureBlobFileSystemStore.getFilesystemProperties(AzureBlobFileSystemStore.java:259)
  at org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem.fileSystemExists(AzureBlobFileSystem.java:859)
  at org.apache.hadoop.fs.azurebfs.AzureBlobFileSystem.initialize(AzureBlobFileSystem.java:110)

Causes include:

• Your credentials are incorrect.
• Your shared secret has expired. in Azure, this happens automatically
• Your shared secret has been revoked.
• host/VM clock drift means that your client’s clock is out of sync with the Azure servers —the call is being rejected as it is either out of date (considered a replay) or from the future. Fix: Check your clocks, etc.

Configuration property _something_.dfs.core.windows.net not found

There’s no fs.azure.account.key. entry in your cluster configuration declaring the access key for the specific account, or you are using the wrong URL

$ hadoop fs -ls abfs://container@abfswales2.dfs.core.windows.net/

ls: Configuration property abfswales2.dfs.core.windows.net not found.

• Make sure that the URL is correct
• Add the missing account key.

No such file or directory when trying to list a container

There is no container of the given name. Either it has been mistyped or the container needs to be created.

$ hadoop fs -ls abfs://container@abfswales1.dfs.core.windows.net/

ls: `abfs://container@abfswales1.dfs.core.windows.net/': No such file or directory

• Make sure that the URL is correct
• Create the container if needed

“HTTP connection to https://login.microsoftonline.com/something failed for getting token from AzureAD. Http response: 200 OK”

• it has a content-type text/html, text/plain, application/xml

The OAuth authentication page didn’t fail with an HTTP error code, but it didn’t return JSON either

$ bin/hadoop fs -ls abfs://container@abfswales1.dfs.core.windows.net/

 ...

ls: HTTP Error 200;
  url='https://login.microsoftonline.com/02a07549-0a5f-4c91-9d76-53d172a638a2/oauth2/authorize'
  AADToken: HTTP connection to
  https://login.microsoftonline.com/02a07549-0a5f-4c91-9d76-53d172a638a2/oauth2/authorize
  failed for getting token from AzureAD.
  Unexpected response.
  Check configuration, URLs and proxy settings.
  proxies=none;
  requestId='dd9d526c-8b3d-4b3f-a193-0cf021938600';
  contentType='text/html; charset=utf-8';

Likely causes are configuration and networking:

1. Authentication is failing, the caller is being served up the Azure Active Directory signon page for humans, even though it is a machine calling.
2. The URL is wrong —it is pointing at a web page unrelated to OAuth2.0
3. There’s a proxy server in the way trying to return helpful instructions.

java.io.IOException: The ownership on the staging directory /tmp/hadoop-yarn/staging/user1/.staging is not as expected. It is owned by <principal_id>. The directory must be owned by the submitter user1 or user1

When using Azure Managed Identities, the files/directories in ADLS Gen2 by default will be owned by the service principal object id i.e. principal ID & submitting jobs as the local OS user ‘user1’ results in the above exception.

The fix is to mimic the ownership to the local OS user, by adding the below properties tocore-site.xml.

<property>
  <name>fs.azure.identity.transformer.service.principal.id</name>
  <value>service principal object id</value>
  <description>
  An Azure Active Directory object ID (oid) used as the replacement for names contained
  in the list specified by “fs.azure.identity.transformer.service.principal.substitution.list”.
  Notice that instead of setting oid, you can also set $superuser here.
  </description>
</property>
<property>
  <name>fs.azure.identity.transformer.service.principal.substitution.list</name>
  <value>user1</value>
  <description>
  A comma separated list of names to be replaced with the service principal ID specified by
  “fs.azure.identity.transformer.service.principal.id”.  This substitution occurs
  when setOwner, setAcl, modifyAclEntries, or removeAclEntries are invoked with identities
  contained in the substitution list. Notice that when in non-secure cluster, asterisk symbol *
  can be used to match all user/group.
  </description>
</property>

Once the above properties are configured, hdfs dfs -ls abfs://container1@abfswales1.dfs.core.windows.net/ shows the ADLS Gen2 files/directories are now owned by ‘user1’.