This switches the default behavior of S3A output streams
to warning that Syncable.hsync() or hflush() have been
called; it's not considered an error unless the defaults
are overridden.
This avoids breaking applications which call the APIs,
at the risk of people trying to use S3 as a safe store
of streamed data (HBase WALs, audit logs etc).
Contributed by Steve Loughran.
Change-Id: I0a02ec1e622343619f147f94158c18928a73a885
This migrates the fs.s3a-server-side encryption configuration options
to a name which covers client-side encryption too.
fs.s3a.server-side-encryption-algorithm becomes fs.s3a.encryption.algorithm
fs.s3a.server-side-encryption.key becomes fs.s3a.encryption.key
The existing keys remain valid, simply deprecated and remapped
to the new values. If you want server-side encryption options
to be picked up regardless of hadoop versions, use
the old keys.
(the old key also works for CSE, though as no version of Hadoop
with CSE support has shipped without this remapping, it's less
relevant)
Contributed by: Mehakmeet Singh
Change-Id: I51804b21b287dbce18864f0a6ad17126aba2b281
This (big!) patch adds support for client side encryption in AWS S3,
with keys managed by AWS-KMS.
Read the documentation in encryption.md very, very carefully before
use and consider it unstable.
S3-CSE is enabled in the existing configuration option
"fs.s3a.server-side-encryption-algorithm":
fs.s3a.server-side-encryption-algorithm=CSE-KMS
fs.s3a.server-side-encryption.key=<KMS_KEY_ID>
You cannot enable CSE and SSE in the same client, although
you can still enable a default SSE option in the S3 console.
* Filesystem list/get status operations subtract 16 bytes from the length
of all files >= 16 bytes long to compensate for the padding which CSE
adds.
* The SDK always warns about the specific algorithm chosen being
deprecated. It is critical to use this algorithm for ranged
GET requests to work (i.e. random IO). Ignore.
* Unencrypted files CANNOT BE READ.
The entire bucket SHOULD be encrypted with S3-CSE.
* Uploading files may be a bit slower as blocks are now
written sequentially.
* The Multipart Upload API is disabled when S3-CSE is active.
Contributed by Mehakmeet Singh
Change-Id: Ie1a27a036a39db66a67e9c6d33bc78d54ea708a0
Addresses the problem of processes running out of memory when
there are many ABFS output streams queuing data to upload,
especially when the network upload bandwidth is less than the rate
data is generated.
ABFS Output streams now buffer their blocks of data to
"disk", "bytebuffer" or "array", as set in
"fs.azure.data.blocks.buffer"
When buffering via disk, the location for temporary storage
is set in "fs.azure.buffer.dir"
For safe scaling: use "disk" (default); for performance, when
confident that upload bandwidth will never be a bottleneck,
experiment with the memory options.
The number of blocks a single stream can have queued for uploading
is set in "fs.azure.block.upload.active.blocks".
The default value is 20.
Contributed by Mehakmeet Singh.
This adds a new class org.apache.hadoop.util.Preconditions which is
* @Private/@Unstable
* Intended to allow us to move off Google Guava
* Is designed to be trivially backportable
(i.e contains no references to guava classes internally)
Please use this instead of the guava equivalents, where possible.
Contributed by: Ahmed Hussein
Change-Id: Ic392451bcfe7d446184b7c995734bcca8c07286e
* CredentialProviderFactory to detect and report on recursion.
* S3AFS to remove incompatible providers.
* Integration Test for this.
Contributed by Steve Loughran.
Change-Id: Ia247b3c9fe8488ffdb7f57b40eb6e37c57e522ef
