mybatis in查询条件过长的解决
方法1:分次查询,将参数且分割成多个短的查询后合并
代码:
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int splitNum =( int ) Math.ceil( ( float ) ids.length/ 999 ); //切片数量 List<String> itemIdList = new ArrayList<>(Arrays.asList(ids)); List<List<String>> splitList = averageAssign(itemIdList, splitNum); for (List<String> list : splitList) { param.put( "itemIds" ,list); List<Map<Object, Object>> itemStatisticsList = iProcessExtMapper.getItemStatisticsList(param); result.addAll(itemStatisticsList); } |
将list分成N等分方法方法:
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public static <T> List<List<T>> averageAssign(List<T> source, int n){ List<List<T>> result= new ArrayList<List<T>>(); int remaider=source.size()%n; //(先计算出余数) int number=source.size()/n; //然后是商 int offset= 0 ; //偏移量 for ( int i= 0 ;i<n;i++){ List<T> value= null ; if (remaider> 0 ){ value=source.subList(i*number+offset, (i+ 1 )*number+offset+ 1 ); remaider--; offset++; } else { value=source.subList(i*number+offset, (i+ 1 )*number+offset); } result.add(value); } return result; } |
方法2:xml文件中编写sql
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i.id in < foreach collection = "itemIds" index = "index" item = "item" open = "(" close = ")" > < if test = "index != 0" > < choose > < when test = "index % 1000 == 999" > ) OR ID IN( </ when > < otherwise >,</ otherwise > </ choose > </ if > #{item} </ foreach > |
sql逻辑:
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ID IN (ids[0],ids[1]+...+ids[998]) OR ID IN (ids[999],ids[1000],...ids[ max ]) |
mybatis大于1000的in查询的解决
之前公司一位同事写的方法:
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< select id = "getByDirIds" parameterType = "string" resultMap = "dirDocLinkMap" > SELECT < include refid = "columns" /> FROM KM_DIR_DOC_LINK T WHERE T.DIR_ID IN < foreach collection = "array" index = "index" open = "(" close = ")" item = "item" separator = "," > < if test = "(index % 1000) == 999" >NULL) OR T.DIR_ID IN (</ if >#{item} </ foreach > </ select > |
但是随着数据量增加,发现大于2000这种方法会报错;
论证如下
解决办法
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< foreach collection = "array" item = "item" index = "index" open = "(" close = ")" separator = "," > < if test = "(index % 999) == 998" > NULL ) OR DOC.ID IN (</ if >#{item} </ foreach > |
以上为个人经验,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/Mr_ye931/article/details/106102695