如何删除重复值

how to remove duplicate values

public List<ClientDetailsDTO> getClientListBasedOnCriteria(HttpServletRequest request) {

try {

Criteria queries = getHbSession().createCriteria(ClientDetailsDTO.class , "clientAdmin");

String city = request.getParameter("cityList").replace('-',' ').trim();
List<String> cities = Arrays.asList(city.split(","));
List<String> regions = Arrays.asList(region.split(","));
List<String> payTypes = Arrays.asList(payType.split(","));
List<String> activeUser = Arrays.asList(activUser.split(",") );


if (null != cities && cities.size() > 0&& !((cities.get(0)).equalsIgnoreCase("all"))) {

    queries.createAlias("clientAdmin.cityBeanDTO", "city");
    queries.add(Restrictions.in("city.cityName", cities));

    }
return queries.list(); 

SELECT this_.client_id AS client1_1_7_,
       this_.acc_mangr_id AS acc25_1_7_,
       this_.address_line AS address2_1_7_,
       this_.address_line2 AS address3_1_7_,
       this_.adtnl_logins AS adtnl4_1_7_,
       this_.alt_mail_id AS alt5_1_7_,
       this_.brand_name AS brand6_1_7_,
       this_.city_id AS city26_1_7_,
       this_.client_name AS client7_1_7_,
       this_.con_per_fname AS con8_1_7_,
       this_.con_per_lname AS con9_1_7_,
       this_.country AS country1_7_,
       this_.fax_number AS fax11_1_7_,
       this_.free_promotional_id AS free27_1_7_,
       this_.free_transactional_id AS free28_1_7_,
       this_.isloggedin AS isloggedin1_7_,
       this_.landline_code AS landline13_1_7_,
       this_.landline_no AS landline14_1_7_,
       this_.location AS location1_7_,
       this_.login_id AS login16_1_7_,
       this_.mail_id AS mail17_1_7_,
       this_.mobile_no AS mobile18_1_7_,
       this_.mobile_no2 AS mobile19_1_7_,
       this_.no_of_logins AS no20_1_7_,
       this_.password AS password1_7_,
       this_.pincode AS pincode1_7_,
       this_.promo_sms_status AS promo29_1_7_,
       this_.promotional_id AS promoti30_1_7_,
       this_.registered_date AS registered23_1_7_,
       this_.client_status AS client31_1_7_,
       this_.transactional_id AS transac32_1_7_,
       this_.tx_sms_status AS tx33_1_7_,
       this_.user_type_id AS user34_1_7_,
       this_.valid_till AS valid24_1_7_,
       manager2_.acc_mangr_id AS acc1_25_0_,
       manager2_.acc_mangr_name AS acc2_25_0_,
       manager2_.managr_location AS managr3_25_0_,
       manager2_.emp_code AS emp4_25_0_,
       manager2_.acc_mgr_region AS acc6_25_0_,
       manager2_.reporting_head AS reporting5_25_0_,
       manager2_.user_type_id AS user7_25_0_,
       region3_.region_id AS region1_37_1_,
       region3_.region_name AS region2_37_1_,
       city1_.city_id AS city1_18_2_,
       city1_.city_name AS city2_18_2_,
       city1_.state_id AS state3_18_2_,
       msgtemplat11_.client_id AS client4_9_,
       msgtemplat11_.tmplt_id AS tmplt1_9_,
       msgtemplat11_.tmplt_id AS tmplt1_29_3_,
       msgtemplat11_.client_id AS client4_29_3_,
       msgtemplat11_.msg_header AS msg2_29_3_,
       msgtemplat11_.msg_template AS msg3_29_3_,
       msgtemplat11_.tmplt_type AS tmplt5_29_3_,
       msgtemplat11_.msg_status AS msg6_29_3_,
       aorn6_.status_id AS status1_27_4_,
       aorn6_.status_type AS status2_27_4_,
       charges4_.chrg_id AS chrg1_17_5_,
       charges4_.adtnl_log_chrgs AS adtnl2_17_5_,
       charges4_.client_id AS client23_17_5_,
       charges4_.discount AS discount17_5_,
       charges4_.engage_bill_end_date AS engage4_17_5_,
       charges4_.engage_bill_start_date AS engage5_17_5_,
       charges4_.month_chrg AS month6_17_5_,
       charges4_.one_time_chrg AS one7_17_5_,
       charges4_.client_pay_mode_id AS client24_17_5_,
       charges4_.pay_type AS pay8_17_5_,
       charges4_.pr_credit_bal AS pr9_17_5_,
       charges4_.prmn_sms_credits AS prmn10_17_5_,
       charges4_.prmn_sms_extend_till AS prmn11_17_5_,
       charges4_.prmn_free_sms_credits AS prmn12_17_5_,
       charges4_.prmn_sms_rate AS prmn13_17_5_,
       charges4_.prmn_sms_valid_till AS prmn14_17_5_,
       charges4_.prmn_updated_sms_credits AS prmn15_17_5_,
       charges4_.tx_credit_bal AS tx16_17_5_,
       charges4_.tx_updated_sms_credits AS tx17_17_5_,
       charges4_.txn_sms_credits AS txn18_17_5_,
       charges4_.txn_sms_extend_till AS txn19_17_5_,
       charges4_.txn_free_sms_credits AS txn20_17_5_,
       charges4_.txn_sms_rate AS txn21_17_5_,
       charges4_.txn_sms_valid_till AS txn22_17_5_,
       paymode5_.pay_mode_id AS pay1_16_6_,
       paymode5_.pay_mode AS pay2_16_6_,
       paymode5_.pay_mode_value AS pay3_16_6_
FROM client_details_tbl this_
INNER JOIN acc_mangr_tbl manager2_ ON this_.acc_mangr_id=manager2_.acc_mangr_id
INNER JOIN region_tbl region3_ ON manager2_.acc_mgr_region=region3_.region_id
INNER JOIN city_tbl city1_ ON this_.city_id=city1_.city_id
LEFT OUTER JOIN msg_tmplts_tbl msgtemplat11_ ON this_.client_id=msgtemplat11_.client_id
INNER JOIN status_tbl aorn6_ ON this_.client_status=aorn6_.status_id
INNER JOIN client_chrgs_tbl charges4_ ON this_.client_id=charges4_.client_id
INNER JOIN client_pay_mode_tbl paymode5_ ON charges4_.client_pay_mode_id=paymode5_.pay_mode_id
WHERE city1_.city_name IN (?)
  AND region3_.region_name IN (?)
  AND paymode5_.pay_mode IN (?,
                             ?)
  AND aorn6_.status_type IN (?)

我需要根据location/city、地区、状态、包裹搜索客户详细信息。

我使用内部联接来联接 Cities 、 Regions 、 Paytypes 、 ActiveUser 表。

但是我收到了重复的数据行。

有人可以为我的问题提供解决方案吗?

我添加了这个声明。

queries.setResultTransformer( DistinctRootEntityResultTransformer.INSTANCE ) ;

测试在你的休眠条件中添加这个,在调用 list() 之前:

queries.setResultTransformer(Criteria.DISTINCT_ROOT_ENTITY);

此致