如何找到 MySQL 中出现次数最多的单词?

How to find most popular word occurrences in MySQL?

我有一个名为 results 的 table,有 5 列。

我想使用 title 列来查找说:WHERE title like '%for sale%' 的行,然后在该列中列出最流行的词。一个是 for,另一个是 sale,但我想看看还有哪些词与此相关。

示例数据:

title
cheap cars for sale
house for sale
cats and dogs for sale
iphones and androids for sale
cheap phones for sale
house furniture for sale

结果(单个词):

for    6
sale    6
cheap    2
and    2
house    2
furniture 1
cars    1
etc...

更新

想法取自

此查询在我的机器 (MySQL 5.7) 上有效,但 Sqlfiddle 报告错误。 基本思想是,您应该创建一个 table,在您的领域中使用从 1 到最大单词出现次数(如 4)的数字,或者像我一样,为简单起见,使用 UNION 1 .. 4。

CREATE TABLE products (
  `id` int,
  `name` varchar(45)
);

INSERT INTO products
    (`id`, `name`)
VALUES
    (1, 'for sale'),
    (2, 'for me'),
    (3, 'for you'),
    (4, 'you and me')
;

SELECT name, COUNT(*) as count FROM
(
SELECT
  product.id,
  SUBSTRING_INDEX(SUBSTRING_INDEX(product.name, ' ', numbers.n), ' ', -1) name
FROM
  (
    SELECT 1 AS n
    UNION SELECT 2
    UNION SELECT 3
    UNION SELECT 4
  ) AS numbers
  INNER JOIN products product
  ON CHAR_LENGTH(product.name)
     -CHAR_LENGTH(REPLACE(product.name, ' ', ''))>=numbers.n-1
ORDER BY
  id, n
)
AS result
GROUP BY name
ORDER BY count DESC

结果将是

for | 3
you | 2
me  | 2
and | 1
sale| 1

您可以通过一些字符串操作来提取单词。假设您有一个数字 table 并且单词由单个空格分隔:

select substring_index(substring_index(r.title, ' ', n.n), ' ', -1) as word,
       count(*)
from results r join
     numbers n
     on n.n <= length(title) - length(replace(title, ' ', '')) + 1
group by word;

如果您没有数字 table,您可以使用子查询手动构造一个:

from results r join
     (select 1 as n union all select 2 union all select 3 union all . . .
     ) n
     . . .

SQL Fiddle(@GrzegorzAdamKowalski 提供)是 here

这会给你一个词(如果我明白你的 single word 是什么意思。):

select concat(val,' ',cnt) as result from(
    select (substring_index(substring_index(t.title, ' ', n.n), ' ', -1)) val,count(*) as cnt
        from result t cross join(
         select a.n + b.n * 10 + 1 n
         from 
                (select 0 as n union all select 1 union all select 2 union all select 3 
                        union all select 4 union all select 5 union all select 6 
                        union all select 7 union all select 8 union all select 9) a,
                (select 0 as n union all select 1 union all select 2 union all select 3 
                        union all select 4 union all select 5 union all select 6 
                        union all select 7 union all select 8 union all select 9) b
                order by n 
        ) n
    where n.n <= 1 + (length(t.title) - length(replace(t.title, ' ', '')))
    group by val
    order by cnt desc
) as x

结果应该是这样的:

Result
--------
for 6
sale 6
house 2
and 2
cheap 2
phones 1
iphones 1
dogs 1
furniture 1
cars 1
androids 1
cats 1

但是如果 single word 你需要这样:

result
-----------
for 6 sale 6 house 2 and 2 cheap 2 phones 1 iphones 1 dogs 1 furniture 1 cars 1 androids 1 cats 1

只需将上面的查询修改为:

select group_concat(concat(val,' ',cnt) separator ' ') as result from( ...

SQL 不太适合这个任务,虽然可能有限制(例如字数)

执行相同任务的快速 PHP 脚本可能更易于长期使用(也可能更快)

<?php
$rows = [
    "cheap cars for sale",
    "house for sale",
    "cats and dogs for sale",
    "iphones and androids for sale",
    "cheap phones for sale",
    "house furniture for sale",
];

//rows here should be replaced by the SQL result
$wordTotals = [];
foreach ($rows as $row) {
   $words = explode(" ", $row);
    foreach ($words as $word) {
        if (isset($wordTotals[$word])) {
            $wordTotals[$word]++; 
            continue;
        }

        $wordTotals[$word] = 1;
    }
}

arsort($wordTotals);

foreach($wordTotals as $word => $count) {
    echo $word . " " . $count . PHP_EOL;
}

输出

for 6
sale 6
and 2
cheap 2
house 2
phones 1
androids 1
furniture 1
cats 1
cars 1
dogs 1
iphones 1

这里正在工作 SQL Fiddle: http://sqlfiddle.com/#!9/0b0a0/32

让我们从两个 table 开始 - 一个用于文本,一个用于数字:

CREATE TABLE text (`title` varchar(29));

INSERT INTO text
    (`title`)
VALUES
    ('cheap cars for sale'),
    ('house for sale'),
    ('cats and dogs for sale'),
    ('iphones and androids for sale'),
    ('cheap phones for sale'),
    ('house furniture for sale')
;

CREATE TABLE iterator (`index` int);

INSERT INTO iterator
    (`index`)
VALUES
    (1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12),(13),(14),(15),
    (16),(17),(18),(19),(20),(21),(22),(23),(24),(25),(26),(27),(28),(29),(30)
;

第二个 table、iterator 必须包含从 1 到 N 的数字,其中 N 大于或等于 text 中最长字符串的长度。

然后,运行 这个查询:

select
  words.word, count(*) as `count`
from 
(select
  substring(concat(' ', t.title, ' '), i.index+1, j.index-i.index) as word
from
  text as t, iterator as i, iterator as j
where
    substring(concat(' ', t.title), i.index, 1) = ' '
and substring(concat(t.title, ' '), j.index, 1) = ' '
and i.index < j.index
) AS words
where
    length(words.word) > 0
and words.word not like '% %'
group by words.word
order by `count` desc, words.word asc

有两个选择。外层简单地对单个单词进行分组和计数(长度大于 0 且没有任何 spaces 的单词)。内部提取所有从任何 space 字符开始并以任何其他 space 字符结束的字符串,因此字符串不是单词(尽管将此子查询命名为 words),因为它们可以包含其他 spaces 比开始和结束一个。

结果:

word    count
for     6
sale    6
and     2
cheap   2
house   2
androids    1
cars    1
cats    1
dogs    1
furniture   1
iphones     1
phones  1

您可以通过一些有趣的方式使用 ExtractValue。请在此处查看 SQL fiddle:http://sqlfiddle.com/#!9/0b0a0/45

我们只需要一个table:

CREATE TABLE text (`title` varchar(29));

INSERT INTO text (`title`)
VALUES
    ('cheap cars for sale'),
    ('house for sale'),
    ('cats and dogs for sale'),
    ('iphones and androids for sale'),
    ('cheap phones for sale'),
    ('house furniture for sale')
;

现在我们构造 select 系列,从转换为 XML 的文本中提取整个单词。每个 select 从文本中提取第 N 个单词。

select words.word, count(*) as `count` from
(select ExtractValue(CONCAT('<w>', REPLACE(title, ' ', '</w><w>'), '</w>'), '//w[1]') as word from `text`
union all
select ExtractValue(CONCAT('<w>', REPLACE(title, ' ', '</w><w>'), '</w>'), '//w[2]') from `text`
union all
select ExtractValue(CONCAT('<w>', REPLACE(title, ' ', '</w><w>'), '</w>'), '//w[3]') from `text`
union all
select ExtractValue(CONCAT('<w>', REPLACE(title, ' ', '</w><w>'), '</w>'), '//w[4]') from `text`
union all
select ExtractValue(CONCAT('<w>', REPLACE(title, ' ', '</w><w>'), '</w>'), '//w[5]') from `text`) as words
where length(words.word) > 0
group by words.word
order by `count` desc, words.word asc