Projects like org.eclipse.mdt contain large XML files about 6 MiB
in size. So does the Android project platform/frameworks/base.
Doing a clone of either project with JGit takes forever to checkout
the files into the working directory, because delta decompression
tends to be very expensive as we need to constantly reposition the
base stream for each copy instruction. This can be made worse by
a very bad ordering of offsets, possibly due to an XML editor that
doesn't preserve the order of elements in the file very well.
Increasing the threshold to the same limit PackWriter uses when
doing delta compression (50 MiB) permits a default configured
JGit to decompress these XML file objects using the faster
random-access arrays, rather than re-seeking through an inflate
stream, significantly reducing checkout time after a clone.
Since this new limit may be dangerously close to the JVM maximum
heap size, every allocation attempt is now wrapped in a try/catch
so that JGit can degrade by switching to the large object stream
mode when the allocation is refused. It will run slower, but the
operation will still complete.
The large stream mode will run very well for big objects that aren't
delta compressed, and is acceptable for delta compressed objects that
are using only forward referencing copy instructions. Copies using
prior offsets are still going to be horrible, and there is nothing
we can do about it except increase core.streamFileThreshold.
We might in the future want to consider changing the way the delta
generators work in JGit and native C Git to avoid prior offsets once
an object reaches a certain size, even if that causes the delta
instruction stream to be slightly larger. Unfortunately native
C Git won't want to do that until its also able to stream objects
rather than malloc them as contiguous blocks.
Change-Id: Ief7a3896afce15073e80d3691bed90c6a3897307
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Signed-off-by: Chris Aniszczyk <caniszczyk@gmail.com>
Singleton references should be protected from multiple threads. As far as we
know this cannot happen as JUnit is used today since we currently don't run
tests in parallel, but now this code will not prevent anyone.
Change-Id: I29109344d2e8025fa2a3ccaf7c2c16469544ce05
Signed-off-by: Robin Rosenberg <robin.rosenberg@dewire.com>
Natively support the HTTP basic and digest authentication methods
by setting the Authorization header without going through the JREs
java.net.Authenticator API. The Authenticator API is difficult to
work with in a multi-threaded server environment, where its using
a singleton for the entire JVM. Instead compute the Authorization
header from the URIish user and pass, if available.
Change-Id: Ibf83fea57cfb17964020d6aeb3363982be944f87
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Signed-off-by: Matthias Sohn <matthias.sohn@sap.com>
As findbugs pointed out, there was a small risk for creating multiple instances of
translation bundles. If that happens, drop the second instance.
Change-Id: I3aacda86251d511f6bbc2ed7481d561449ce3b6c
Signed-off-by: Robin Rosenberg <robin.rosenberg@dewire.com>
HistogramDiff is an alternative implementation of patience diff,
performing a search over all matching locations and picking the
longest common subsequence that has the lowest occurrence count.
If there are unique common elements, its behavior is identical to
that of patience diff.
Actual performance on real-world source files usually beats
MyersDiff, sometimes by a factor of 3, especially for complex
comparators that ignore whitespace.
Change-Id: I1806cd708087e36d144fb824a0e5ab7cdd579d73
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Each algorithm should produce a particular number of results
given one of the standard inputs used during the performance
tests. To help ensure those tests are accurate, assert that
the edit list length is correct.
Change-Id: I292f8fde0cec6a60a75ce09e70814a00ca47cb99
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Pass through the addAll request to our underlying ArrayList.
This way the underlying ArrayList grows no more than once during the
call, which may be important if the list was originally allocated
at the default size of 16, but 64 Edits are being added.
Change-Id: I31c3261e895766f82c3c832b251a09f6e37e8860
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
FetchCommand was missing the ability to set dry run and thin
preferences on the transport operation.
Change-Id: I0bef388a9b8f2e3a01ecc9e7782aaed7f9ac82ce
Signed-off-by: Chris Aniszczyk <caniszczyk@gmail.com>
This is the test suite I was using to help understand why we had
such a high collision rate with RawTextComparator, and to select
a replacement function.
Since its not something we will run very often, lets make it a
program in the debug package rather than a JUnit test. This way
we can run it on demand against any corpus of files we choose,
but we aren't bottlenecking our daily builds running tests with
no assertions.
Adding a new hash function to this suite is simple, just define
a new instance member of type "Hash" with the logic applied to
the region passed in.
Change-Id: Iec0b176adb464cf95b06cda157932b79c0b59886
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Optional inCore parameter to Resolver/Strategy will
instruct it to perform all the operations in memory
and avoid modifying working folder even if there is one.
Change-Id: I5b873dead3682f79110f58d7806e43f50bcc5045
The hash code returned by RawTextComparator (or that is used
by the SimilarityIndex) play an important role in the speed of
any algorithm that is based upon them. The lower the number of
collisions produced by the hash function, the shorter the hash
chains within hash tables will be, and the less likely we are to
fall into O(N^2) runtime behaviors for algorithms like PatienceDiff.
Our prior hash function was absolutely horrid, so replace it with
the proper definition of the DJB hash that was originally published
by Professor Daniel J. Bernstein.
To support this assertion, below is a table listing the maximum
number of collisions that result when hashing the unique lines in
each source code file of 3 randomly chosen projects:
test_jgit: 931 files; 122 avg. unique lines/file
Algorithm | Collisions
-------------+-----------
prior_hash 418
djb 5
sha1 6
string_hash31 11
test_linux26: 30198 files; 258 avg. unique lines/file
Algorithm | Collisions
-------------+-----------
prior_hash 8675
djb 32
sha1 8
string_hash31 32
test_frameworks_base: 8381 files; 184 avg. unique lines/file
Algorithm | Collisions
-------------+-----------
prior_hash 4615
djb 10
sha1 6
string_hash31 13
We can clearly see that prior_hash performed very poorly, resulting
in 8,675 collisions (elements in the same hash bucket) for at least
one file in the Linux kernel repository. This leads to some very
bad O(N) style insertion and lookup performance, even though the
hash table was sized to be the next power-of-2 larger than the
total number of unique lines in the file.
The djb hash we are replacing prior_hash with performs closer to
SHA-1 in terms of having very few collisions. This indicates it
provides a reasonably distributed output for this type of input,
despite being a much simpler algorithm (and therefore will be much
faster to execute).
The string_hash31 function is provided just to compare results with,
it is the algorithm commonly used by java.lang.String hashCode().
However, life isn't quite this simple.
djb produces a 32 bit hash code, but our hash tables are always
smaller than 2^32 buckets. Mashing the 32 bit code into an array
index used to be done by simply taking the lower bits of the hash
code by a bitwise and operator. This unfortuntely still produces
many collisions, e.g. 32 on the linux-2.6 repository files.
From [1] we can apply a final "cleanup" step to the hash code to
mix the bits together a little better, and give priority to the
higher order bits as they include data from more bytes of input:
test_jgit: 931 files; 122 avg. unique lines/file
Algorithm | Collisions
-------------+-----------
prior_hash 418
djb 5
djb + cleanup 6
test_linux26: 30198 files; 258 avg. unique lines/file
Algorithm | Collisions
-------------+-----------
prior_hash 8675
djb 32
djb + cleanup 7
test_frameworks_base: 8381 files; 184 avg. unique lines/file
Algorithm | Collisions
-------------+-----------
prior_hash 4615
djb 10
djb + cleanup 7
This is a massive improvement, as the number of collisions for
common inputs drops to acceptable levels, and we haven't really
made the hash functions any more complex than they were before.
[1] http://lkml.org/lkml/2009/10/27/404
Change-Id: Ia753b695de9526a157ddba265824240bd05dead1
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Because PatienceDiff works by looking for common unique lines within
the region, the DiffTestDataGenerator needs to be modified to produce
a unique character for each region. If we don't give PatienceDiff
a few unique points, it will just offer back a single REPLACE edit
that covers the entire files, and this doesn't tell us very much.
Change-Id: I5129faea1e763c74739118ca20d86bd62e0deaef
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
For certain tiny input sequences, every DiffAlgorithm should produce
exactly the same results, as there should be no ambiguity. Package
these up in an abstract TestCase that algorithms can extend from in
order to perform basic validation of their implementation.
Since these tests are more complete than what we used to have for
the MyersDiff algorithm, throw away Johannes' tests and only use
this new package.
Change-Id: I9a044330887c849ad4c78aa5c7aa04c783c10252
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
As it turns out, every single diff algorithm we might try to
implement can benfit from using the SequenceComparator's native
concept of the simple reduceCommonStartEnd() step. For most inputs,
there can be a significant number of elements that can be removed
from the space the DiffAlgorithm needs to consider, which will
reduce the overall running time for the final solution.
Pool this logic inside of DiffAlgorithm itself as a default, but
permit a specific algorithm to override it when necessary.
Convert MyersDiff to use this reduction to reduce the space it
needs to search, making it perform slightly better on common inputs.
Change-Id: I14004d771117e4a4ab2a02cace8deaeda9814bc1
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
PatienceDiff always uses a HashedSequence, which promises to provide
constant time access for hash codes during the equals method and
aborts fast if the hash codes don't match. Therefore we don't need
to cache the hash codes inside of the index, saving us memory.
Change-Id: I80bf1e95094b7670e6c0acc26546364a1012d60e
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Most diff implementations really want to use cached hash codes for
elements, rather than element equality, as they need to perform many
compares and unique hash codes for elements can really speed that
process up.
To make it easier to define element hash functions, move the caching
of hash codes into a wrapper sequence type, so that individual
sequence types like RawText don't need to do this themselves. This
has a nice property of also allowing the sequence to no longer care
about the specific SequenceComparator that is going to be used, and
permits the caching to only examine the middle region that isn't
common to the two inputs.
Change-Id: If8623556da9419117b07c5073e8bce39de02570e
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
This is a faster exact match based form that tries to improve
performance for the common case of the header and trailer of
a text file not changing at all. After this fast path we use
the slower path based on the super class' using equals() to
allow for whitespace ignore modes to still work.
Some simple performance testing showed a major improvement over the
older implementation for a common edit we see in JGit. The test
compared blob 29a89bc and 372a978, which is the ObjectDirectory.java
file difference in commit 41dd9ed1c0.
The two text files are approximately 22 KiB in size.
DEFAULT old 203900 ns
DEFAULT new 100400 ns
This new version is 2x faster for the DEFAULT comparator, which does
not treat space specially. This is because we can now examine a
larger swath of text with fewer instructions per byte compared. The
older algorithm had to stop at each line break and recompute how to
examine the next line, while the new algorithm only stops when the
first difference is found.
WS_IGNORE_ALL old 298500 ns
WS_IGNORE_ALL new 63300 ns
Its 4.7x faster for the whitespace ignore comparator, as the common
header and footer do not have a whitespace difference. Avoiding the
special case handling for whitespace on each byte considered saves a
lot of time.
Since most edits to source code (and other text like files) appears in
the interior of the file, fast elimination of common header/footer
means faster diff throughput. In the less common case of an actual
header or footer edit, the common header/footer elimination is stopped
rather quickly either way, so there is very little downside to the
optimiation applied here.
Change-Id: I1d501b4c3ff80ed086b20bf12faf51ae62167db7
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
DiffAlgorithm implementations may find it useful to construct an Edit
and use that to later subsequence the two base sequences, so define
two new utility methods a() and b() to construct the A and B ranges.
Once a subsequence has had Edits created for it the indexes are
within the space of the subsequence. These must be shifted back to
the original base sequence's indexes. Define toBase() as a utility
method to perform that shifting work in-place, so DiffAlgorithm
implementations have an efficient way to convert back to the caller's
original space.
Change-Id: I8d788e4d158b9f466fa9cb4a40865fb806376aee
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Missed to update version from 0.9.4 to 0.10.0
Change-Id: I50e4955141ef9dd0e1293f8c8c2c0dc7c3c7fd3f
Signed-off-by: Matthias Sohn <matthias.sohn@sap.com>
Adds API for performing git fetch operations.
Change-Id: Idd95664fd4e3bca03211e4ffda3e354849f92a35
Signed-off-by: Chris Aniszczyk <caniszczyk@gmail.com>
If a thin pack has a large delta we need to be able to open
its cached copy from the loose object directory through the
CachedObjectDatabase handle. Unfortunately that did not support the
openObject2 method, which the LargePackedDeltaObject used directly
to bypass looking at the pack files.
Bug: 324868
Change-Id: I1d5886a6c3254c6dea2852d50b8614c31a93e615
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Method test006_readCaseInsensitive in TestConfig already does the
same thing, and doesn't require an OS specific test for the value being
asserted.
This is additionally a fast fix for the failing JUnit test after
change 3fe5276.
Change-Id: I96d2794dbc7db55bdd0fbfcf675aabb15cc8419f
Signed-off-by: Stefan Lay <stefan.lay@sap.com>
* stable-0.9:
Qualify post-0.9.3 builds
JGit 0.9.3
clone: Correct formatting of init message
Fix cloning of repositories with big objects
Qualify post-0.9.1 builds
JGit 0.9.1
Fix PlotCommitList to set lanes on child-less commits
Allow our command line commands like Glog, Log to accept the
--all option to walk all known refs.
Change-Id: I6a0c84fc19e7fa80ddaa2315851c58ba89d43ca5
Signed-off-by: Christian Halstrick <christian.halstrick@sap.com>
We used the wrong format method, which lead to this confusing output:
$ ./jgit clone git://...
Initialized empty Git repository in {0}
remote: Counting objects: 201783
...
remote: {0}
We need to use MessageFormat.format() as the message translations
use {0} syntax and not %s syntax for placeholders.
Change-Id: I8bf0fd3f7dbecf9edf47419c46aed0493d405f9e
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
When running IndexPack we use a CachedObjectDirectory, which
knows what objects are loose and tries to avoid stat(2) calls for
objects that do not exist in the repository, as stat(2) on Win32
is very slow.
However large delta objects found in a pack file are expanded into
a loose object, in order to avoid costly delta chain processing
when that object is used as a base for another delta.
If this expand occurs while working with the CachedObjectDirectory,
we need to update the cached directory data to include this new
object, otherwise it won't be available when we try to open it
during the object verify phase.
Bug: 324868
Change-Id: Idf0c76d4849d69aa415ead32e46a435622395d68
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
When creating a new FileRepository, probe the capability of the
local filesystem and set core.filemode based on how it reacts.
We can't just rely on FS.supportsExecute() because a POSIX system
(which usually does support execute) might be storing the repository
on a partition that doesn't have execute support (e.g. plain FAT-32).
Creating a temporary file, setting both states, checking we get
the desired results will let us set the variable correctly on
all systems.
Change-Id: I551488ea8d352d2179c7b244f474d2e3d02567a2
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Chris Aniszczyk
Shawn O. Pearce
Robin Rosenberg
Christian Halstrick
Dmitry Fink
Matthias Sohn
Stefan Lay
Christian Halstrick