From: James Ahlborn
Date: Thu, 1 May 2014 03:18:37 +0000 (+0000)
Subject: add some more cookbook content
X-Git-Tag: jackcess-2.0.5~22
X-Git-Url: https://source.dussan.org/?a=commitdiff_plain;h=e24827b6e8e5f500501245e65349823445d20ddb;p=jackcess.git
add some more cookbook content
git-svn-id: https://svn.code.sf.net/p/jackcess/code/jackcess/trunk@857 f203690c-595d-4dc9-a70b-905162fa7fd2
---
diff --git a/pom.xml b/pom.xml
index 47076af..3b4ef79 100644
--- a/pom.xml
+++ b/pom.xml
@@ -88,6 +88,12 @@
Reverse engineered the attachment data encoding.
+
+ Gordon Thompson
+
+ Contributed to cookbook.
+
+ SourceForge2
diff --git a/src/site/xdoc/cookbook.xml b/src/site/xdoc/cookbook.xml
index 8752425..6f13d27 100644
--- a/src/site/xdoc/cookbook.xml
+++ b/src/site/xdoc/cookbook.xml
@@ -283,6 +283,85 @@
speed and memory, they are "lightweight" enough to be used in an
on-demand capacity.
+
+ The simplest case involves a normal, un-indexed cursor for a given
+ table. The cursor will traverse the table in no particular row order
+ but it can still be used to find rows where column(s) match
+ specified values. For example...
+
+
+
+ ...will search for the row where "ID" == 1. Since the
+ cursor does not use an index it will perform the equivalent of a
+ "table scan" while searching.
+
+
+ Cursors can also use an existing index on the table to (1) control
+ the order in which they traverse the table, and (2) find rows
+ faster. Since we defined the "ID" column as our Primary Key we can
+ also perform the above search like this...
+
+
+
+ ...or by using the CursorBuilder.findRowByPrimaryKey
+ "convenience method" like this:
+
+
+
+ Either of the two previous approaches will use the Primary Key index
+ to locate the row where "ID" == 1, potentially making
+ it much faster to execute.
+
+
+ As mentioned above, an index-backed cursor will also retrieve rows
+ in index order, so if we wanted to retrieve all of the rows in
+ alphabetical order by "Name" we could use the
+ "NameIndex" index to create a cursor and then iterate through the
+ rows like this:
+
+
+
+ Or, if you wanted to iterate through all of the rows where
+ "Name" == 'bob' you could do:
+