ddidderr/zstd-rs
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bumped version number to v1.3.4

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also added a paragraph on using compression level with training mode
as this is a recurrent question (see for example #1004)
This commit is contained in:
Yann Collet
2018-01-27 22:23:26 -08:00
parent 0fa96a6b78
commit 9f8ed23b5b
5 changed files with 30 additions and 16 deletions
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programs/zstd.1
+7 -3
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@@ -1,5 +1,5 @@
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.TH "ZSTD" "1" "December 2017" "zstd 1.3.3" "User Commands"
.TH "ZSTD" "1" "2018-01-27" "zstd 1.3.3" "User Commands"
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.SH "NAME"
\fBzstd\fR \- zstd, zstdmt, unzstd, zstdcat \- Compress or decompress \.zst files
@@ -136,7 +136,7 @@ force write to standard output, even if it is the console
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.TP
\fB\-\-[no\-]sparse\fR
enable / disable sparse FS support, to make files with many zeroes smaller on disk\. Creating sparse files may save disk space and speed up decompression by reducing the amount of disk I/O\. default : enabled when output is into a file, and disabled when output is stdout\. This setting overrides default and can force sparse mode over stdout\.
enable / disable sparse FS support, to make files with many zeroes smaller on disk\. Creating sparse files may save disk space and speed up decompression by reducing the amount of disk I/O\. default: enabled when output is into a file, and disabled when output is stdout\. This setting overrides default and can force sparse mode over stdout\.
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.TP
\fB\-\-rm\fR
@@ -179,7 +179,7 @@ add integrity check computed from uncompressed data (default: enabled)
All arguments after \fB\-\-\fR are treated as files
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.SH "DICTIONARY BUILDER"
\fBzstd\fR offers \fIdictionary\fR compression, useful for very small files and messages\. It\'s possible to train \fBzstd\fR with some samples, the result of which is saved into a file called a \fBdictionary\fR\. Then during compression and decompression, reference the same dictionary\. It will improve compression ratio of small files\. Typical gains range from 10% (at 64KB) to x5 better (at <1KB)\.
\fBzstd\fR offers \fIdictionary\fR compression, which greatly improves efficiency on small files and messages\. It\'s possible to train \fBzstd\fR with a set of samples, the result of which is saved into a file called a \fBdictionary\fR\. Then during compression and decompression, reference the same dictionary, using command \fB\-D dictionaryFileName\fR\. Compression of small files similar to the sample set will be greatly improved\.
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.TP
\fB\-\-train FILEs\fR
@@ -197,6 +197,10 @@ Dictionary saved into \fBfile\fR (default name: dictionary)\.
Limit dictionary to specified size (default: 112640)\.
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.TP
\fB\-#\fR
Use \fB#\fR compression level during training (optional)\. Will generate statistics more tuned for selected compression level, resulting in a \fIsmall\fR compression ratio improvement for this level\.
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.TP
\fB\-B#\fR
Split input files in blocks of size # (default: no split)
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