在看JPetStore的代码时,发现它的分页处理主要是通过返回PaginatedList对象来完成的。如:在CatalogService类中
public
PaginatedList getProductListByCategory(String categoryId)
{
return productDao.getProductListByCategory(categoryId);
}
分页是操作数据库型系统常遇到的问题。分页实现方法很多,但效率的差异就很大了。iBatis是通过什么方式来实现这个分页的了。查看它的实现部分:
返回的PaginatedList实际上是个接口,实现这个接口的是PaginatedDataList类的对象,查看PaginatedDataList类发现,每次翻页的时候最后都会调用下面这段函数
private
List getList(
int
idx,
int
localPageSize)
throws
SQLException
{
return sqlMapExecutor.queryForList(statementName, parameterObject, (idx) * pageSize, localPageSize);
}
由于
public
interface
SqlMapClient
extends
SqlMapExecutor, SqlMapTransactionManager
{……}
所以实际的调用次序如下:
SqlMapClientImpl.queryForPaginatedList
->
SqlMapSessionImpl.queryForPaginatedList
->
SqlMapExecutorDelegate.queryForPaginatedList
->
GeneralStatement.executeQueryForList
->
GeneralStatment.executeQueryWithCallback
->
GeneralStatment.executeQueryWithCallback
->
SqlExecutor.executeQuery
->
SqlExecutor.handleMultipleResults()
->
SqlExecutor.executeQuery
->
handleResults
分页处理的函数如下
private
void
handleResults(RequestScope request, ResultSet rs,
int
skipResults,
int
maxResults, RowHandlerCallback callback)
throws
SQLException
{
try {
request.setResultSet(rs);
ResultMap resultMap = request.getResultMap();
if (resultMap != null ) {
// Skip Results
if (rs.getType() != ResultSet.TYPE_FORWARD_ONLY) {
if (skipResults > 0 ) {
rs.absolute(skipResults);
}
} else {
for ( int i = 0 ; i < skipResults; i ++ ) {
if ( ! rs.next()) {
return ;
}
}
}
// Get Results
int resultsFetched = 0 ;
while ((maxResults == SqlExecutor.NO_MAXIMUM_RESULTS || resultsFetched < maxResults) && rs.next()) {
Object[] columnValues = resultMap.resolveSubMap(request, rs).getResults(request, rs);
callback.handleResultObject(request, columnValues, rs);
resultsFetched ++ ;
}
}
} finally {
request.setResultSet( null );
}
}
由 此可见,iBatis的分页主要依赖于jdbcdriver的如何实现以及是否支持rs.absolute(skipResults)。它并不是一个好的 分页方式。它先要取出所有的符合条件的记录存入ResultSet对象,然后用absolute方法进行定位,来实现分页。当记录数较大(比如十万条) 时,整体的查询速度将会变得很慢。
所以分页还是要考虑采用直接操作sql语句来完成。当然小批量的可以采用iBatis的分页模式。一般分页的sql语句与数据库的具体实现有关
mysql:
select
*
from
A limit startRow,endRow
oracle:
select
b.
*
from
(
select
a.
*
,rownum
as
linenum
from
(
select
*
from
A) a
where
rownum
<=
endRow) b
where
linenum
>=
startRow
Hibernate的Oracle分页采用的就是是拼凑RowNum的Sql语句来完成的。参考代码如下:
public
String createOraclePagingSql(String sql,
int
pageIndex,
int
pageSize)
{
int m = pageIndex * pageSize;
int n = m + pageSize;
return " select * from ( select row_.*, rownum rownum_ from ( " + sql
+ " ) row_ where rownum <= " + n
+ " ) where rownum_ > " + m;
}
综上,小批量(<2w)可以采用ibatis自带的分页类,大批量的还是直接操纵sql,当然也可以将这些sql自己进行封装,或在包中封装都可以。包封装的示例代码如下:
一个封装了分页功能的Oracle Package
create
or
replace
package body FMW_FY_HELPER
is
PROCEDURE
GET_DATA(pi_sql
in
varchar
,pi_whichpage
in
integer
,pi_rownum
in
integer
,
po_cur_data out cur_DATA,po_allrownum out
integer
,pio_succeed
in
out
integer
)
as
v_cur_data cur_DATA;
v_cur_temp cur_TEMP;
v_temp
integer
;
v_sql
varchar
(
5000
);
v_temp1
integer
;
v_temp2
integer
;
begin
pio_succeed :
=
1
;
v_sql :
=
'
select count(
''
a
''
) from (
'
||
pi_sql
||
'
)
'
;
execute
immediate v_sql
into
v_temp;
po_allrownum:
=
ceil(v_temp
/
pi_rownum);
v_sql :
=
''
;
v_temp :
=
pi_whichpage
*
pi_rownum
+
1
;
v_temp1:
=
(pi_whichpage
-
1
)
*
pi_rownum
+
1
;
v_temp2:
=
pi_whichpage
*
pi_rownum;
v_sql:
=
'
select * from (select rownum as rn,t.* from (
'
||
pi_sql
||
'
) t where rownum<
'
||
to_char(v_temp)
||
'
) where rn between
'
||
to_char(v_temp1)
||
'
and
'
||
to_char(v_temp2);
open
v_cur_data
for
v_sql;
if
v_cur_data
%
notfound
then
pio_succeed:
=-
1
;
return
;
end
if
;
po_cur_DATA :
=
v_cur_data;
end
;