提交 0f61802b authored 作者: Thomas Mueller's avatar Thomas Mueller

Formatting fixes.

上级 a585517a
...@@ -386,7 +386,7 @@ following profiling data (results vary): ...@@ -386,7 +386,7 @@ following profiling data (results vary):
<h3>Use a Modern JVM</h3> <h3>Use a Modern JVM</h3>
<p> <p>
Newer JVMs are faster. Upgrading to the latest version of your JVM can provide a "free" boost to performance. Newer JVMs are faster. Upgrading to the latest version of your JVM can provide a "free" boost to performance.
On the Windows platform, switching from the default Client JVM to the Server JVM On the Windows platform, switching from the default Client JVM to the Server JVM
using the <code>-server</code> command-line option improves performance at the cost of a slight increase in start-up time. using the <code>-server</code> command-line option improves performance at the cost of a slight increase in start-up time.
</p> </p>
...@@ -502,14 +502,13 @@ the second level soft reference cache. See also <a href="features.html#cache_set ...@@ -502,14 +502,13 @@ the second level soft reference cache. See also <a href="features.html#cache_set
<h3>Data Types</h3> <h3>Data Types</h3>
<p> <p>
Each data type has different storage and performance characteristics: Each data type has different storage and performance characteristics:
<ul><li>The DECIMAL/NUMERIC type is slower and requires more storage than the REAL and DOUBLE types. </p>
<ul><li>The DECIMAL/NUMERIC type is slower and requires more storage than the REAL and DOUBLE types.
</li><li>Text types are slower to read, write, and compare than numeric types and generally require more storage. </li><li>Text types are slower to read, write, and compare than numeric types and generally require more storage.
</li><li>See <a href="advanced.html#large_objects">Large Objects</a> for information on BINARY vs. BLOB and VARCHAR vs. CLOB performance. </li><li>See <a href="advanced.html#large_objects">Large Objects</a> for information on BINARY vs. BLOB and VARCHAR vs. CLOB performance.
</li><li>Parsing and formatting takes longer for the TIME, DATE, and TIMESTAMP types than </li><li>Parsing and formatting takes longer for the TIME, DATE, and TIMESTAMP types than the numeric types.
the numeric types. </li><li>SMALLINT/TINYINT/BOOLEAN are not significantly smaller or faster to work with than INTEGER in most modes.
</li><li>SMALLINT/TINYINT/BOOLEAN are not significantly smaller or faster to work with than INTEGER in most modes. </li></ul>
</li></ul>
</p>
<br /><a name="fast_import"></a> <br /><a name="fast_import"></a>
<h2>Fast Database Import</h2> <h2>Fast Database Import</h2>
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