Adds further tests where the working tree is dirty (differs from
index) and where we have staged but uncommitted changes.
Fixed the test case 9 for file/directory conflicts.
Bug: 428819
Change-Id: Ie44a288b052abe936ebb74272d0fefef3b218a7a
Signed-off-by: Axel Richard <axel.richard@obeo.fr>
Signed-off-by: Robin Rosenberg <robin.rosenberg@dewire.com>
Signed-off-by: Christian Halstrick <christian.halstrick@sap.com>
Don't raise checkout conflict for file missing in working tree
During a checkout we want to prevent to overwrite unsaved local file
content. Jgit was therefore checking whether the file to overwrite is
dirty or missing and would raise a conflict if this was the case. That
was wrong. It should only check if the file is dirty. It's ok to
"overwrite" a missing/non-existing file.
Change-Id: I63c3a94f663c87f09170fdf8b1b1bf4ed5246fc5
Signed-off-by: Christian Halstrick <christian.halstrick@sap.com>
Add pgm test for checkout of existing branch with checkout conflict
Add a test that checks out an existing branch with a dirty working tree
and involves a checkout conflict. This test should pass with a message:
"error: Your local changes to the following files would be overwritten
by checkout: a".
Change-Id: I5428a04a7630d9e0101404ea1aedd796f127bd7d
Signed-off-by: Axel Richard <axel.richard@obeo.fr>
Signed-off-by: Matthias Sohn <matthias.sohn@sap.com>
jgit.storage.dht is a storage provider implementation for JGit that
permits storing the Git repository in a distributed hashtable, NoSQL
system, or other database. The actual underlying storage system is
undefined, and can be plugged in by implementing 7 small interfaces:
* Database
* RepositoryIndexTable
* RepositoryTable
* RefTable
* ChunkTable
* ObjectIndexTable
* WriteBuffer
The storage provider interface tries to assume very little about the
underlying storage system, and requires only three key features:
* key -> value lookup (a hashtable is suitable)
* atomic updates on single rows
* asynchronous operations (Java's ExecutorService is easy to use)
Most NoSQL database products offer all 3 of these features in their
clients, and so does any decent network based cache system like the
open source memcache product. Relying only on key equality for data
retrevial makes it simple for the storage engine to distribute across
multiple machines. Traditional SQL systems could also be used with a
JDBC based spi implementation.
Before submitting this change I have implemented six storage systems
for the spi layer:
* Apache HBase[1]
* Apache Cassandra[2]
* Google Bigtable[3]
* an in-memory implementation for unit testing
* a JDBC implementation for SQL
* a generic cache provider that can ride on top of memcache
All six systems came in with an spi layer around 1000 lines of code to
implement the above 7 interfaces. This is a huge reduction in size
compared to prior attempts to implement a new JGit storage layer. As
this package shows, a complete JGit storage implementation is more
than 17,000 lines of fairly complex code.
A simple cache is provided in storage.dht.spi.cache. Implementers can
use CacheDatabase to wrap any other type of Database and perform fast
reads against a network based cache service, such as the open source
memcached[4]. An implementation of CacheService must be provided to
glue this spi onto the network cache.
[1] https://github.com/spearce/jgit_hbase
[2] https://github.com/spearce/jgit_cassandra
[3] http://labs.google.com/papers/bigtable.html
[4] http://memcached.org/
Change-Id: I0aa4072781f5ccc019ca421c036adff2c40c4295
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>
Per CQ 3448 this is the initial contribution of the JGit project
to eclipse.org. It is derived from the historical JGit repository
at commit 3a2dd9921c.
Signed-off-by: Shawn O. Pearce <spearce@spearce.org>