Follows the guidance outlined in https://github.com/open-telemetry/opentelemetry-specification/blob/3e380e2/specification/trace/semantic_conventions/database.dm
* all table data operations are assumed to be of type CLIENT
* populate `db.name` and `db.operation` attributes
* name table data operation spans as `db.operation` `db.name`:`db.hbase.table`
note: this implementation deviates from the recommended `db.name`.`db.sql.table` and instead
uses HBase's native String representation of namespace:tablename.
Signed-off-by: Duo Zhang <zhangduo@apache.org>
Signed-off-by: Tak Lon (Stephen) Wu <taklwu@apache.org>
ZStandard supports initialization of compressors and decompressors with a
precomputed dictionary, which can dramatically improve and speed up compression
of tables with small values. For more details, please see
The Case For Small Data Compression
https://github.com/facebook/zstd#the-case-for-small-data-compression
Signed-off-by: Duo Zhang <zhangduo@apache.org>
This reverts commit bfa4584125.
This is not ready yet. There are some code paths remaining where store
configuration (CompoundConfiguration) is not passed into the block decoding
context. Found with additional integration tests.
ZStandard supports initialization of compressors and decompressors with a
precomputed dictionary, which can dramatically improve and speed up compression
of tables with small values. For more details, please see
The Case For Small Data Compression
https://github.com/facebook/zstd#the-case-for-small-data-compression
Signed-off-by: Duo Zhang <zhangduo@apache.org>
We get and retain Compressor instances in HFileBlockDefaultEncodingContext,
and could in theory call Compressor#reinit when setting up the context,
to update compression parameters like level and buffer size, but we do
not plumb through the CompoundConfiguration from the Store into the
encoding context. As a consequence we can only update codec parameters
globally in system site conf files.
Fine grained configurability is important for algorithms like ZStandard
(ZSTD), which offers more than 20 compression levels, where at level 1
it is almost as fast as LZ4, and where at higher levels it utilizes
computationally expensive techniques to rival LZMA at compression ratio
but trades off significantly for reduced compresson throughput. The ZSTD
level that should be set for a given column family or table will vary by
use case.
Signed-off-by: Viraj Jasani <vjasani@apache.org>
This change introduces provided compression codecs to HBase as
new Maven modules. Each module provides compression codec support
that formerly required Hadoop native codecs, which in turn relies
on native code integration, which may or may not be available on
a given hardware platform or in an operational environment. We
now provide codecs in the HBase distribution for users whom for
whatever reason cannot or do not wish to deploy the Hadoop native
codecs.
Signed-off-by: Duo Zhang <zhangduo@apache.org>
Signed-off-by: Viraj Jasani <vjasani@apache.org>
Introduce `hfile.onheap.block.cache.fixed.size`
and default to disable. when using ClientSideRegionScanner
it will be enabled with a fixed size for caching
INDEX/LEAF_INDEX block when a client, e.g.
snapshot scanner, scans the entire HFile
and does not need to seek/reseek to index
block multiple times.
Signed-off-by: Josh Elser <elserj@apache.org>
Introduce `hfile.onheap.block.cache.fixed.size`
and default to disable. when using ClientSideRegionScanner
it will be enabled with a fixed size for caching
INDEX/LEAF_INDEX block when a client, e.g.
snapshot scanner, scans the entire HFile
and does not need to seek/reseek to index
block multiple times.
In some situations, a caller may know that it is properly managing the
Kerberos ticket to talk to HBase. In these situations, it's possible
that AuthUtil still tries to do renewals, but just fails repeatedly to
do so. Give a configuration flag for such clients to be able to tell
AuthUtil to simply stop trying.
Signed-off-by: Duo Zhang <zhangduo@apache.org>
Closes#3609
Depending on which compression codec is used, a short read of the
compressed bytes can cause catastrophic errors that confuse the WAL reader.
This problem can manifest when the reader is actively tailing the WAL for
replication. To avoid these issues when WAL value compression is enabled,
BoundedDelegatingInputStream should assume enough bytes are available to
supply a reader up to its bound. This behavior is valid per the contract
of available(), which provides an _estimate_ of available bytes, and
equivalent to IOUtils.readFully but without requiring an intermediate
buffer.
Added TestReplicationCompressedWAL and TestReplicationValueCompressedWAL.
Without the WALCellCodec change TestReplicationValueCompressedWAL will
fail.
Signed-off-by: Bharath Vissapragada <bharathv@apache.org>
We introduced EnvironmentEdgeManager as a way to inject alternate clocks
for unit tests. In order for this to be effective, all callers that would
otherwise use System.currentTimeMillis() must call
EnvironmentEdgeManager.currentTime() instead, except the implementers of
EnvironmentEdge.
Signed-off-by: Bharath Vissapragada <bharathv@apache.org>
Signed-off-by: Duo Zhang <zhangduo@apache.org>
Signed-off-by: Viraj Jasani <vjasani@apache.org>
Undo asserts that LZ4 and SNAPPY fails if their native libs are NOT
loaded; as of hadoop 3.3.1, LZ4 and SNAPPY can work w/o native libs.
Signed-off-by: Duo Zhang <zhangduo@apache.org>
WAL storage can be expensive, especially if the cell values
represented in the edits are large, consisting of blobs or
significant lengths of text. Such WALs might need to be kept around
for a fairly long time to satisfy replication constraints on a space
limited (or space-contended) filesystem.
We have a custom dictionary compression scheme for cell metadata that
is engaged when WAL compression is enabled in site configuration.
This is fine for that application, where we can expect the universe
of values and their lengths in the custom dictionaries to be
constrained. For arbitrary cell values it is better to use one of the
available compression codecs, which are suitable for arbitrary albeit
compressible data.
Signed-off-by: Bharath Vissapragada <bharathv@apache.org>
Signed-off-by: Duo Zhang <zhangduo@apache.org>
Signed-off-by: Nick Dimiduk <ndimiduk@apache.org>
Yutong Xiao
Duo Zhang
Nick Dimiduk
Istvan Toth
Istvan Toth
Rushabh Shah
Bryan Beaudreault
Andrew Purtell
NishthaShah
chenglei
Tak Lon (Stephen) Wu
Josh Elser
Wei-Chiu Chuang
meiyi
Aman Poonia
Xiaolin Ha
Peter Somogyi
Michael Stack
Baiqiang Zhao