select nvl(t.user_no,0)+1 from t where t.id='' 改为pgsql语法

在 PostgreSQL 中，可以使用 COALESCE 函数来实现类似于 Oracle 中的 NVL 函数的功能。同时，还需要使用序列来生成新的用户编号。因此，可以使用如下的语法来实现相同的功能：

SELECT COALESCE(t.user_no, 0) + 1
FROM t
WHERE t.id = '';

其中，需要提前创建一个名为 `t_user_no_seq` 的序列，用于生成新的用户编号。可以使用以下语法创建该序列：

CREATE SEQUENCE t_user_no_seq;

然后，可以使用以下语法将生成的编号插入到表中：

INSERT INTO t (id, user_no, ...) VALUES ('', nextval('t_user_no_seq'), ...);

注意，这里的 `...` 表示其他需要插入的列，需要根据实际情况进行补充。

相关问题

WITH t AS ( SELECT NVL(t2.FINANCIER,t2.ISSUER) customerId, NVL(NVL(t1.TDY_FLOAT_INGPL, 0) + NVL(t1.DSC_COST_AMT, 0),0) AS amount FROM PTL_SEC_VALUTION t1 INNER JOIN FIN_PRODUCT t2 ON t1.FINPROD_ID=t2.FINPROD_ID INNER JOIN FIN_PRODUCT_TYPE t3 ON t3.FINPROD_ID=t2.FINPROD_ID WHERE (t2.FINPROD_TYPE2='F01' OR (t2.FINPROD_TYPE2 ='F18' and t3.TYPE_6='P01' and t3.TYPE_7='1209') OR (t2.FINPROD_TYPE2 ='F18' and t3.TYPE_6='P11' )) AND t1.CDATE =to_date(#{valDate,jdbcType=VARCHAR},'yyyy-MM-dd')-1 ) select h.counterId from ( select n.counterId,n.amount from ( select m.counterId,sum(amount) amount from ( select t5.customer_Id counterId,T.AMOUNT from t INNER JOIN MST_CUSTOMER_INFO_ADD t5 on t5.customer_id=t.customerId where t5.INDUSTRY!='10' and t5.PARENT_CUSTOMER_ID is null union all select t6.customer_Id counterId,T.AMOUNT from t INNER JOIN MST_CUSTOMER_INFO_ADD t5 on t5.customer_id=t.customerId INNER JOIN MST_CUSTOMER_INFO_ADD t6 on t6.customer_id=t5.PARENT_CUSTOMER_ID where t5.INDUSTRY!='10' ) m group by m.counterId ) n order by n.amount desc ) h where rownum<![CDATA[<]]>11 改成ignite写法

我可以帮你将这段 SQL 转换成 Ignite 的写法，以下是转换后的代码：

IgniteCache<Object, Object> cache = ignite.getOrCreateCache("myCache");

SqlFieldsQuery query = new SqlFieldsQuery(
    "WITH t AS (" +
    "    SELECT NVL(t2.FINANCIER, t2.ISSUER) customerId, " +
    "        NVL(NVL(t1.TDY_FLOAT_INGPL, 0) + NVL(t1.DSC_COST_AMT, 0), 0) AS amount " +
    "    FROM PTL_SEC_VALUTION t1 " +
    "    INNER JOIN FIN_PRODUCT t2 ON t1.FINPROD_ID = t2.FINPROD_ID " +
    "    INNER JOIN FIN_PRODUCT_TYPE t3 ON t3.FINPROD_ID = t2.FINPROD_ID " +
    "    WHERE (t2.FINPROD_TYPE2 = 'F01' " +
    "        OR (t2.FINPROD_TYPE2 = 'F18' AND t3.TYPE_6 = 'P01' AND t3.TYPE_7 = '1209') " +
    "        OR (t2.FINPROD_TYPE2 = 'F18' AND t3.TYPE_6 = 'P11')) " +
    "        AND t1.CDATE = to_date(?, 'yyyy-MM-dd') - 1" +
    ") " +
    "SELECT h.counterId " +
    "FROM (" +
    "    SELECT n.counterId, n.amount " +
    "    FROM (" +
    "        SELECT m.counterId, sum(amount) amount " +
    "        FROM (" +
    "            SELECT t5.customer_Id counterId, T.AMOUNT " +
    "            FROM t " +
    "            INNER JOIN MST_CUSTOMER_INFO_ADD t5 ON t5.customer_id = t.customerId " +
    "            WHERE t5.INDUSTRY != '10' AND t5.PARENT_CUSTOMER_ID IS NULL " +
    "            UNION ALL " +
    "            SELECT t6.customer_Id counterId, T.AMOUNT " +
    "            FROM t " +
    "            INNER JOIN MST_CUSTOMER_INFO_ADD t5 ON t5.customer_id = t.customerId " +
    "            INNER JOIN MST_CUSTOMER_INFO_ADD t6 ON t6.customer_id = t5.PARENT_CUSTOMER_ID " +
    "            WHERE t5.INDUSTRY != '10'" +
    "        ) m " +
    "        GROUP BY m.counterId " +
    "    ) n " +
    "    ORDER BY n.amount DESC" +
    ") h " +
    "WHERE ROWNUM < 11"
);

query.setArgs(valDate);

try (QueryCursor<List<?>> cursor = cache.query(query)) {
    for (List<?> row : cursor) {
        Object counterId = row.get(0);
        // Do something with the counterId
    }
}

在上面的代码中，我们首先获取了一个 Ignite Cache 对象，然后创建了一个 `SqlFieldsQuery` 对象，将原来的 SQL 语句作为参数传递进去，并使用 `setArgs` 方法设置 SQL 语句中的参数值。最后，我们使用 `cache.query` 方法执行查询，并遍历结果集中的每一行数据，在其中获取 `counterId` 并做一些处理。

SELECT DISTINCT A.BEGIN_REPAIR_NO, A.PART_NO, A.CREATE_BY, B.EMPLOYEE_NAME AS CREATE_NAME, A.CREATE_TIME FROM TPMDATA.PICKING A LEFT JOIN TPMDATA.SAP_EMPLOYEE B ON A.CREATE_BY = B.EMPLOYEE_NO SELECT nvl(sum(A.CURRENT_QUANTITY),0) FROM TPMDATA.PICKING A LEFT JOIN TPMDATA.sys_part B ON A.PART_NO = B.PART_NO 将这俩条sql语句 合成一条

可以使用子查询将这两条 SQL 查询语句合并成一条：

SELECT DISTINCT
A.BEGIN_REPAIR_NO,
A.PART_NO,
A.CREATE_BY,
B.EMPLOYEE_NAME AS CREATE_NAME,
A.CREATE_TIME,
NVL((SELECT SUM(CURRENT_QUANTITY)
FROM TPMDATA.PICKING
LEFT JOIN TPMDATA.sys_part ON TPMDATA.PICKING.PART_NO = TPMDATA.sys_part.PART_NO
WHERE TPMDATA.PICKING.BEGIN_REPAIR_NO = A.BEGIN_REPAIR_NO AND TPMDATA.PICKING.PART_NO = A.PART_NO), 0) AS CURRENT_QUANTITY
FROM
TPMDATA.PICKING A
LEFT JOIN TPMDATA.SAP_EMPLOYEE B ON A.CREATE_BY = B.EMPLOYEE_NO;

这条语句将原本要查询的 SUM(CURRENT_QUANTITY) 作为子查询嵌入到了主查询中，并且增加了 WHERE 子句，以便查询对应的 BEGIN_REPAIR_NO 和 PART_NO。