我在我的项目中使用spring-data-jpa
。我试图使用@Query
注释来获取上周最后一次的记录。
JPQL
@Query("SELECT SUM(t.quantity) as QTY, SUM(t.retailAmount) as RETAIL_AMT, SUM(t.discountAmount) as DISCOUNT_AMT, SUM(t.netAmount) as NET_AMT, SUM(t.costAmount) as COST_AMT, SUM(t.profit) as PROFIT, t.transactionDate as DATE FROM SaleByTransaction t where t.transactionDate >= :date group by t.transactionDate")
public List<Object[]> aggregateTransactionsBasedOnDate(@Param("date") Date date);
原生查询
@Query(nativeQuery = true, value = "SELECT SUM(QTY) as QTY, SUM(RETAIL_AMT) as RETAIL_AMT, SUM(DISCOUNT_AMT) as DISCOUNT_AMT, SUM(NET_AMT) as NET_AMT, SUM(COST_AMT) as COST_AMT, SUM(PROFIT) as PROFIT, TRANS_DATE FROM SALE_BY_TRANSACTION where TRANS_DATE >= :date group by TRANS_DATE")
public List<Object[]> aggregateTransactionsBasedOnDate(@Param("date") Date date);
预计记录应为6,因为我在数据库中有6天的记录。
JPQL Query提供了6条预期的记录。 Native Query提供5条记录,这是不正确的。
但是当我在我的数据库工具中运行本机查询时,它会获取正确的6条记录。 使用mysql作为我的数据库。
我将值传递为'2018-05-22'。当我尝试调试本机查询时,即使我的条件为TRANS_DATE&gt; =:date
,也没有获取2018-05-22的记录任何人都遇到过类似的问题。可能是什么原因。
在两种情况下由hibernate打印的查询 -
原生查询
Hibernate: SELECT SUM(QTY) as QTY, SUM(RETAIL_AMT) as RETAIL_AMT, SUM(DISCOUNT_AMT) as DISCOUNT_AMT, SUM(NET_AMT) as NET_AMT, SUM(COST_AMT) as COST_AMT, SUM(PROFIT) as PROFIT, TRANS_DATE FROM SALE_BY_TRANSACTION where TRANS_DATE >= ? group by TRANS_DATE
JPQL
Hibernate: select sum(salebytran0_.qty) as col_0_0_, sum(salebytran0_.retail_amt) as col_1_0_, sum(salebytran0_.discount_amt) as col_2_0_, sum(salebytran0_.net_amt) as col_3_0_, sum(salebytran0_.cost_amt) as col_4_0_, sum(salebytran0_.profit) as col_5_0_, salebytran0_.trans_date as col_6_0_ from sale_by_transaction salebytran0_ where salebytran0_.trans_date>=? group by salebytran0_.trans_date
在我的数据库中记录,在我的数据库工具中使用sql查询获取。(使用本机查询时不会出现第一条记录)
QTY RETAIL_AMT DISCOUNT_AMT NET_AMT COST_AMT PROFIT DATE
54.0 586.760003566742 27.769999504089355 558.9900002479553 313.270001411438 245.75999808311462 2018-05-22
95.0 399.7000057697296 16.479999780654907 383.2200062274933 212.6899983882904 170.5800033658743 2018-05-23
64.0 609.2199983596802 25.700000166893005 583.5199975967407 369.6899971961975 213.89000129699707 2018-05-24
62.0 474.439998626709 60.47999978065491 413.95999908447266 257.2700011730194 156.75999996066093 2018-05-25
33.0 342.32999992370605 2.75 339.57999992370605 193.520001411438 146.08999752998352 2018-05-26
73.0 426.76999855041504 10.600000143051147 416.17000007629395 241.5299997329712 174.7099997550249 2018-05-27