例如,假设有一个字段combined_field,其内容由逗号分隔的多个值组成,可以使用SUBSTRING_INDEX或SUBSTRING等函数进行拆分。 sql SELECT SUBSTRING_INDEX(combined_field, ',', 1) AS field1, SUBSTRING_INDEX(SUBSTRING_INDEX(combined_field, ',', 2), ',',
使用SUBSTRING_INDEX 拆分列 代码语言:javascript 代码运行次数:0 运行 AI代码解释 SELECT SUBSTRING_INDEX(hobby, '-', 1) AS hobby1, SUBSTRING_INDEX(SUBSTRING_INDEX(hobby, '-', 2), '-', -1) AS hobby2, SUBSTRING_INDEX(SUBSTRING_INDEX(hobby, '-', 3), '-', -1) AS hobby3 FROM t_user...
Stringwhere=""; if(sql.indexOf("where") >0) { where = sql.substring(sql.indexOf("where")); }elseif(sql.indexOf("WHERE") >0) { where = sql.substring(sql.indexOf("WHERE")); } System.out.println("===获取WHERE条件==="); System.out.println(where); Stringtable=getTableName(sql...
可以使用mysql自带函数 SELECT DISTINCT SUBSTRING_INDEX(acontent, ']', 1) AS userId FROM ( SELECT SUBSTRING_INDEX(message_content, 'userIds":[', -1) AS acontent FROM okr_messages WHERE create_time > "2021-12-22 22:00:00") AS n; 1. 2. 3. DISTINCT函数进行去重,得到结果如下: 如果还...
【解决方案】:使用substring_index函数,先用分隔符分开,再取分隔符前后的值,有点类似于Python中的split("")[]函数,官方API展示了这个函数的使用方法: >>> df = spark.createDataFrame([('a.b.c.d',)], ['s']) >>> df.select(substring_index(df.s, '.', 2).alias('s')).collect() ...
SUBSTR,SUBSTRING Description substr(string a, int start [, int len]) substring(string a, int start[, int len]) 功能:求子串函数,返回第一个参数描述的字符串中从start开始长度为len的部分字符串。首字母的下标为1。 返回类型:string类型 Example mysql> select substring('baidudoris',6); +---+ |...
= '_' || replace(index) != '_') { builder += replace(index) } } val resultStr = builder.toString val length = resultStr.length if (length > 128) { logWarning("palo label size larger than 128!, we truncate it!") resultStr.substring(length - 128, length) } else { resultStr ...
带有两个参数:需要查找的字符串/开始查找的字符位置(可选) indexOf()是直接从一开始进行查找而lastindexOf()则查找最末尾的匹配字符串 3.substr()和substring()方法 (复制字符串的一个子串) substring()接受两个参数:子串开始位置 / 子串最后一个字符后面的字符位置。 substr()接受两个参数:子串要包含的第一...
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More efficient text analysis algorithms: For text data, we will introduce text analysis algorithms, including adaptive Like, high-performance substring matching, high-performance regular matching, predicate pushdown of Like statements, Ngram Bloomfilter, etc. The full-text search is based on t...