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author | Frank Baker <fbaker@hdfgroup.org> | 2000-07-17 18:21:39 (GMT) |
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committer | Frank Baker <fbaker@hdfgroup.org> | 2000-07-17 18:21:39 (GMT) |
commit | ca21737873d4e4fd169bbcef7abd831a2f2fe42b (patch) | |
tree | 185a1187dd9dfe9c2bc3cebf4a3605a04b09b3b1 /doc | |
parent | 354ca36dc79dc0e6fc324f86d169ca02713ffff9 (diff) | |
download | hdf5-ca21737873d4e4fd169bbcef7abd831a2f2fe42b.zip hdf5-ca21737873d4e4fd169bbcef7abd831a2f2fe42b.tar.gz hdf5-ca21737873d4e4fd169bbcef7abd831a2f2fe42b.tar.bz2 |
[svn-r2434] H5.intro.html
Datatypes.html
Fixed confusing references to "simple datatypes."
Minor edits.
Diffstat (limited to 'doc')
-rw-r--r-- | doc/html/Datatypes.html | 6 | ||||
-rw-r--r-- | doc/html/H5.intro.html | 8 |
2 files changed, 10 insertions, 4 deletions
diff --git a/doc/html/Datatypes.html b/doc/html/Datatypes.html index bc4a9e0..71cf733 100644 --- a/doc/html/Datatypes.html +++ b/doc/html/Datatypes.html @@ -2431,13 +2431,13 @@ in the HDF5 distribution. <h2>10. Sharing Datatypes among Datasets</h2> - <p>If a file has lots of datasets which have a common datatype + <p>If a file has lots of datasets which have a common datatype, then the file could be made smaller by having all the datasets share a single datatype. Instead of storing a copy of the datatype in each dataset object header, a single datatype is stored and the object headers point to it. The space savings is - probably only significant for datasets with a compound datatype - since the simple datatypes can be described with just a few + probably only significant for datasets with a compound datatype, + since the atomic datatypes can be described with just a few bytes anyway. <p>To create a bunch of datasets that share a single datatype diff --git a/doc/html/H5.intro.html b/doc/html/H5.intro.html index 9d9afb1..4f09c3a 100644 --- a/doc/html/H5.intro.html +++ b/doc/html/H5.intro.html @@ -390,7 +390,13 @@ Atomic datatypes can also be system-specific, or <I><CODE>NATIVE</CODE></I>, and <FONT FACE="Times"><P>See <A HREF="Datatypes.html"><I>Datatypes</I></A> in the<I> HDF User’s Guide</I> for further information.</font> -<FONT FACE="Times"><P>A <I>compound datatype</I> is one in which a collection of simple datatypes are represented as a single unit, similar to a <I>struct</I> in C. The parts of a compound datatype are called <I>members.</I> The members of a compound datatype may be of any datatype, including another compound datatype. It is possible to read members from a compound type without reading the whole type. +<FONT FACE="Times"><P>A <I>compound datatype</I> is one in which a +collection of several datatypes are represented as a single unit, +a compound datatype, similar to a <I>struct</I> in C. +The parts of a compound datatype are called <I>members.</I> +The members of a compound datatype may be of any datatype, +including another compound datatype. It is possible to read members +from a compound type without reading the whole type. <p> <ta/FONT><I><P>Named datatypes.</I> Normally each dataset has its own datatype, but sometimes we may want to share a datatype among several datasets. This can be done using a <I>named </I>datatype. A named datatype is stored in the file independently of any dataset, and referenced by all datasets that have that datatype. Named datatypes may have an associated attributes list. See <A HREF="Datatypes.html"><I>Datatypes</I></A></font><FONT FACE="Times"> in the<I> HDF User’s Guide</I> for further information. |