An AWS SDK-backed FileSystem driver for Hadoop
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src Add patch for server side encryption by David S. Wang Jul 7, 2014
README.md Update README.md Feb 10, 2017
pom.xml Update version number Jul 8, 2014

README.md

Please note: This FileSystem is now included in Hadoop starting at version 2.6. The code here is no longer maintained.

More information can be found at: https://wiki.apache.org/hadoop/AmazonS3


An AWS SDK-backed FileSystem driver for Hadoop

This is an experimental FileSystem for Hadoop that uses the AWS SDK instead of jets3t to connect. It is intended as a replacement for the s3native FileSystem. This has not been heavily tested yet. Use at your own risk.

Features:

  • File upload & copy support for files >5 GB
  • Significantly faster performance, especially for large files
  • Parallel upload support
  • Parallel copy (rename)
  • AWS S3 explorer compatible empty directories using xyz/ instead of xyz_$folder$
  • Ignores _$folder$ files created by s3native and other S3 browsing utilities
  • Supports multiple buffer dirs to even out IO
  • Supports IAM role-based authentication
  • Allows setting a default canned ACL for uploads

Build Instructions

Build using maven:

$ mvn package -DskipTests=true

Copy jar and various dependencies to your hadoop libs dir (run 'hadoop classpath' to find appropriate lib dir):

$ cp target/hadoop-s3a-0.0.5.jar \
     target/lib/aws-java-sdk-1.8.3.jar \
     target/lib/httpcore-4.2.jar \
     target/lib/httpclient-4.2.jar \
     target/lib/jackson-databind-2.1.1.jar \
     target/lib/jackson-core-2.1.1.jar \
     target/lib/jackson-annotations-2.1.1.jar \
     target/lib/joda-time-2.3.jar \
     /usr/lib/hadoop/lib/

Note: These are dependencies that are necessary for CDH 5 which is based on Hadoop 2.2.0. There is a chance you'll need other dependencies for different versions located in the target/lib dir.

Also, by default this builds against Hadoop 2.2.0. If you wish to build against a different version, edit the pom.xml file.

Add the following keys to your core-site.xml file:

<!-- omit for IAM role based authentication -->
<property>
  <name>fs.s3a.access.key</name>
  <value>...</value>
</property>

<!-- omit for IAM role based authentication -->
<property>
  <name>fs.s3a.secret.key</name>
  <value>...</value>
</property>

<property>
  <name>fs.s3a.buffer.dir</name>
  <value>${hadoop.tmp.dir}/s3a</value>
</property>

<!-- necessary for Hadoop to load our filesystem driver -->
<property>
  <name>fs.s3a.impl</name>
  <value>org.apache.hadoop.fs.s3a.S3AFileSystem</value>
</property>

You probably want to add this to your log4j.properties file:

log4j.logger.com.amazonaws=ERROR
log4j.logger.com.amazonaws.http.AmazonHttpClient=ERROR
log4j.logger.org.apache.hadoop.fs.s3a.S3AFileSystem=WARN

You should now be able to run commands:

$ hadoop fs -ls s3a://bucketname/foo

Tunable parameters

These may or may not improve performance. The defaults were set without much testing.

  • fs.s3a.access.key - Your AWS access key ID
  • fs.s3a.secret.key - Your AWS secret key
  • fs.s3a.connection.maximum - Controls how many parallel connections HttpClient spawns (default: 15)
  • fs.s3a.connection.ssl.enabled - Enables or disables SSL connections to S3 (default: true)
  • fs.s3a.attempts.maximum - How many times we should retry commands on transient errors (default: 10)
  • fs.s3a.connection.timeout - Socket connect timeout (default: 5000)
  • fs.s3a.paging.maximum - How many keys to request from S3 when doing directory listings at a time (default: 5000)
  • fs.s3a.multipart.size - How big (in bytes) to split a upload or copy operation up into (default: 100 MB)
  • fs.s3a.multipart.threshold - Until a file is this large (in bytes), use non-parallel upload (default: 2 GB)
  • fs.s3a.acl.default - Set a canned ACL on newly created/copied objects (Private | PublicRead | PublicReadWrite | AuthenticatedRead | LogDeliveryWrite | BucketOwnerRead | BucketOwnerFullControl)
  • fs.s3a.multipart.purge - True if you want to purge existing multipart uploads that may not have been completed/aborted correctly (default: false)
  • fs.s3a.multipart.purge.age - Minimum age in seconds of multipart uploads to purge (default: 86400)
  • fs.s3a.buffer.dir - Comma separated list of directories that will be used to buffer file writes out of (default: uses fs.s3.buffer.dir)
  • fs.s3a.server-side-encryption-algorithm - Name of server side encryption algorithm to use for writing files (e.g. AES256) (default: null)

Key name changes in 0.0.2

Many configuration keys were renamed in 0.0.2 in order to better match the style of newer versions of hadoop. Older keys should continue to work for the time being.

  • fs.s3a.awsAccessKeyId -> fs.s3a.access.key
  • fs.s3a.awsSecretAccessKey -> fs.s3a.secret.key
  • fs.s3a.maxConnections -> fs.s3a.connection.maximum
  • fs.s3a.secureConnections -> fs.s3a.connection.ssl.enabled
  • fs.s3a.maxErrorRetries -> fs.s3a.attempts.maximum
  • fs.s3a.socketTimeout -> fs.s3a.connection.timeout
  • fs.s3a.maxPagingKeys -> fs.s3a.paging.maximum
  • fs.s3a.multipartSize -> fs.s3a.multipart.size
  • fs.s3a.minMultipartSize -> fs.s3a.multipart.threshold
  • fs.s3a.cannedACL -> fs.s3a.acl.default
  • fs.s3a.purgeExistingMultiPart -> fs.s3a.multipart.purge
  • fs.s3a.purgeExistingMultiPartAge -> fs.s3a.multipart.purge.age

Caveats

Hadoop uses a standard output committer which uploads files as filename.COPYING before renaming them. This can cause unnecessary performance issues with S3 because it does not have a rename operation and S3 verifies uploads against an md5 that the driver sets on the upload request. While this FileSystem should be significantly faster than the built-in s3native driver because of parallel copy support, you may want to consider setting a null output committer on our jobs to further improve performance.

Because S3 requires the file length be known before a file is uploaded, all output is buffered out to a temporary file first similar to the s3native driver.

Due to the lack of native rename() for S3, renaming extremely large files or directories make take a while. Unfortunately, there is no way to notify hadoop that progress is still being made for rename operations, so your job may time out unless you increase the task timeout.

This driver will fully ignore _$folder$ files. This was necessary so that it could interoperate with repositories that have had the s3native driver used on them, but means that it won't recognize any empty directories that the s3native filesystem had created.

This has only been tested under CDH 4 and CDH 5, but it should work with other distributions of hadoop. Be sure to watch out for conflicting versions of httpclient.

Statistics for the filesystem may be calculated differently than other filesystems. When uploading a file, we do not count writing the temporary file on the local filesystem towards the local filesystem's written bytes count. When renaming files, we do not count the S3->S3 copy as read or write operations. Unlike the s3native driver, we only count bytes written when we start the upload (as opposed to the write calls to the temporary local file). The driver also counts read & write ops, but they are done mostly to keep from timing out on large s3 operations.

This is currently implemented as a FileSystem and not a AbstractFileSystem.

Changes

0.0.5

  • Integrated server side encryption patch from David S. Wang.
  • Integrated bugfix that prevented ExportSnapshot to work with Kerberized clusters from David S. Wang
  • Integrated bugfix where we weren't reading new parameter names from David S. Wang
  • Integrated bugfix to limit delete calls to 1000 objects at a time from David S. Wang
  • Retry one time on IOException during read() calls