ora-01489 字符串连接的结果过长 解决方案

  如下代码,使用listagg进行分组拼接时,常常会报 ora-01489 错误,造成该报错的主要原因是:oracle对字符变量的长度限制,正常情况下,oracle定义的varchar2类型变量的长度不应超过4000字节,如有必要可转换为long 或clob类型。

  我之前遇到一次该报错,后来检查了下,是因为重复数据造成的,所以建议大家使用下面方法之前最好还是先看下数据。本文提供的所有方法总结于 ora-01489错误解决方案

create table lu_meseno_temp as 
select
    MDSENO,
    LISTAGG(to_char(MECODE), ',') WITHIN GROUP(ORDER BY MECODE) AS pjMECODE
from
    lu_yb_sbda_md_temp
group by
    MDSENO

  解决方案:

  方法一:自定义连接函数

-- 定义 tab_varchar2  数据类型
CREATE TYPE tab_varchar2 AS TABLE OF VARCHAR2(4000);

-- 新建 concat_array 函数
CREATE OR REPLACE FUNCTION concat_array(p tab_varchar2) RETURN CLOB IS
    l_result CLOB;
    BEGIN
        FOR cc IN (SELECT column_value FROM TABLE(p) ORDER BY column_value) LOOP
            l_result := l_result ||' '|| cc.column_value;
        END LOOP;
        return l_result;
    END;

-- 分组拼接
SELECT 
    item,
    concat_array(CAST(COLLECT(attribute) AS tab_varchar2)) attributes
FROM 
    tb
GROUP BY
    item;

  如果希望对上述结果进行排序,可以嵌套一层 order by 前4000字符。

SELECT
	*
FROM 
(
    SELECT 
        item,
        concat_array(CAST(collect(attribute) AS tab_varchar2)) attributes
    FROM
        tb
    GROUP BY
        item
) 
order by 
    -- 表示截取长度4000,起始位置1
    dbms_lob.substr(attributes, 4000, 1);

  

方法二:

with 
    ItemAttribute  as (
        select
            'name'||level name,
            mod(level,3) itemid
        from dual
        connect by level < 2000
    ),
    ItemAttributeGrouped as (
        select
            xmlagg(xmlparse(content name||' ' wellformed) order by name).getclobval() attributes,
            itemid
        from ItemAttribute
        group by itemid
    )

select 
    itemid,
    attributes,
    dbms_lob.substr(attributes,4000,1) sortkey
from ItemAttributeGrouped
order by dbms_lob.substr(attributes,4000,1);  

  文档 oracle listagg函数字符串链接的结果过长,给出的解决方案为:

rtrim(xmlagg(XMLELEMENT(e, t.id, ',').EXTRACT('//text()')).getclobval(),',')

  其他方法:

SELECT itemId, name
  FROM (
    SELECT itemId, name, min(dr) over (partition by itemId) as dr
      FROM (
        SELECT itemId, name,
            dense_rank() over (order by name, name1, name2, name3, name4) as dr
          FROM (
            SELECT Item.itemId,
                     Attribute.name,
                     LEAD(Attribute.name, 1)
                         OVER (PARTITION BY Item.itemId
                             ORDER BY Attribute.name) AS name1,
                     LEAD(Attribute.name, 2)
                         OVER (PARTITION BY Item.itemId
                             ORDER BY Attribute.name) AS name2,
                     LEAD(Attribute.name, 3)
                         OVER (PARTITION BY Item.itemId
                             ORDER BY Attribute.name) AS name3,
                     LEAD(Attribute.name, 4)
                         OVER (PARTITION BY Item.itemId
                             ORDER BY Attribute.name) AS name4
                FROM Item
                JOIN ItemAttribute
                  ON ItemAttribute.itemId = Item.itemId
                JOIN Attribute
                  ON Attribute.attributeId = ItemAttribute.attributeId
               )
          )
      )
ORDER BY dr, name;

  

  

原文地址:https://www.cnblogs.com/iupoint/p/10974864.html