从结果集中获取数据太慢
getting data from result set is too slow
使用结果集从 PostgreSQL 数据库中获取数据太慢。
这是我的代码。
for (int i = 0; i < qry_list.size(); i++) {
try {
resultSet = statement.executeQuery(qry_list.get(i));
resultSet.setFetchSize(0);
while (resultSet.next()) {
totalfilecrated = totalfilecrated
+ resultSet.getInt(columnname);
}
} catch (SQLException e) {
e.printStackTrace();
}
}
这里我尝试在里面取数据一个forloop.is好吗?
这是我的查询。
用于获取各个组织的 ID(org_unit_id
)。
"select org_unit_id from emd.emd_org_unit where org_unit_id
in(select org_unit_id from emd.emd_org_unit_detail where entity_type_id=1 and is_active=true) and
is_active=true order by org_unit_name_en";
然后我想得到每个 org_unit_id
的文件数
select count(*) as totalfilecreatedelectronic from fl_file ff
left join vw_employee_details_with_department epd on epd.post_detail_id=ff.file_opened_by_post_fk
where ff.file_nature = 'E' and ((ff.migration_date>='2011-01-01' and ff.migration_date<='2015-01-01') or
(ff.opening_date >='2011-01-01' and ff.opening_date <='2015-01-01')) and
epd.departmentid=org_unit_id";
看到您的第二个查询如何已经包含对 org_unit_id 列的引用,您可能会考虑直接加入 emd_org_unit table:
select org.org_unit_id, count(*) as totalfilecreatedelectronic
from fl_file ff
left join vw_employee_details_with_department epd on epd.post_detail_id=ff.file_opened_by_post_fk
-- join to active entries in emd_org_unit
inner join from emd.emd_org_unit org ON epd.departmentid=org.org_unit_id
AND org.is_active=true
where ff.file_nature = 'E'
and (
(ff.migration_date>='2011-01-01' and ff.migration_date<='2015-01-01') or
(ff.opening_date >='2011-01-01' and ff.opening_date <='2015-01-01'))
-- and now group by org_unit_id to get the counts
group by org_unit_id
如果你为此创建一个 SQLFiddle,我想事情会变得更清楚。
使用结果集从 PostgreSQL 数据库中获取数据太慢。
这是我的代码。
for (int i = 0; i < qry_list.size(); i++) {
try {
resultSet = statement.executeQuery(qry_list.get(i));
resultSet.setFetchSize(0);
while (resultSet.next()) {
totalfilecrated = totalfilecrated
+ resultSet.getInt(columnname);
}
} catch (SQLException e) {
e.printStackTrace();
}
}
这里我尝试在里面取数据一个forloop.is好吗?
这是我的查询。
用于获取各个组织的 ID(org_unit_id
)。
"select org_unit_id from emd.emd_org_unit where org_unit_id
in(select org_unit_id from emd.emd_org_unit_detail where entity_type_id=1 and is_active=true) and
is_active=true order by org_unit_name_en";
然后我想得到每个 org_unit_id
select count(*) as totalfilecreatedelectronic from fl_file ff
left join vw_employee_details_with_department epd on epd.post_detail_id=ff.file_opened_by_post_fk
where ff.file_nature = 'E' and ((ff.migration_date>='2011-01-01' and ff.migration_date<='2015-01-01') or
(ff.opening_date >='2011-01-01' and ff.opening_date <='2015-01-01')) and
epd.departmentid=org_unit_id";
看到您的第二个查询如何已经包含对 org_unit_id 列的引用,您可能会考虑直接加入 emd_org_unit table:
select org.org_unit_id, count(*) as totalfilecreatedelectronic
from fl_file ff
left join vw_employee_details_with_department epd on epd.post_detail_id=ff.file_opened_by_post_fk
-- join to active entries in emd_org_unit
inner join from emd.emd_org_unit org ON epd.departmentid=org.org_unit_id
AND org.is_active=true
where ff.file_nature = 'E'
and (
(ff.migration_date>='2011-01-01' and ff.migration_date<='2015-01-01') or
(ff.opening_date >='2011-01-01' and ff.opening_date <='2015-01-01'))
-- and now group by org_unit_id to get the counts
group by org_unit_id
如果你为此创建一个 SQLFiddle,我想事情会变得更清楚。