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off_t is a really weird type as it is usually 64bit these days (at least
in sane programs), but could theoretically be 32bit. We don't support
off_t as 32bit builds though, but still constantly deal with safely
converting from off_t to other types and back for no point.
Hence, never use the type anymore. Always use uint64_t instead. This has
various benefits, including that we can expose these values directly as
D-Bus properties, and also that the values parse the same in all cases.
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Otherwise they can be optimized away with -DNDEBUG
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Otherwise they can be optimized away with -DNDEBUG
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It corrrectly handles both positive and negative errno values.
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As a followup to 086891e5c1 "log: add an "error" parameter to all
low-level logging calls and intrdouce log_error_errno() as log calls
that take error numbers", use sed to convert the simple cases to use
the new macros:
find . -name '*.[ch]' | xargs sed -r -i -e \
's/log_(debug|info|notice|warning|error|emergency)\("(.*)%s"(.*), strerror\(-([a-zA-Z_]+)\)\);/log_\1_errno(-\4, "\2%m"\3);/'
Multi-line log_*() invocations are not covered.
And we also should add log_unit_*_errno().
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Otherwise the test fails when built with CPPFLAGS='-DNDEBUG' which disables
assertions.
Tested:
- make check TESTS='test-compress' CPPFLAGS='-DNDEBUG'
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They have different size on 32 bit, so they are really not interchangable.
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Add liblz4 as an optional dependency when requested with --enable-lz4,
and use it in preference to liblzma for journal blob and coredump
compression. To retain backwards compatibility, XZ is used to
decompress old blobs.
Things will function correctly only with lz4-119.
Based on the benchmarks found on the web, lz4 seems to be the best
choice for "quick" compressors atm.
For pkg-config status, see http://code.google.com/p/lz4/issues/detail?id=135.
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Add Compression={none,xz} and CompressionLevel=0-9 settings. Defaults
are xz/6.
Compression=filesystem may be added later.
I picked "xz" for the compression "type", since we might want to add
different compressors later on. XZ is fairly memory and CPU intensive, and
embedded users will likely want to use LZO or some other lightweight compression
mechanism.
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