Sort by date, use IN to get latest and previous entry for multiple entries
P粉653045807
P粉653045807 2023-09-03 23:52:49
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<p>My goal: I have a list of <code>stock_id</code>s and want to get the last <code>bid</code>s (sorted by date) for each <code> stock_id</code> a. </p> <p>For images, this means I want: </p> <table class="s-table"> <thead> <tr> <th>stock_id</th> <th>Bid</th> </tr> </thead> <tbody> <tr> <td>3</td> <td>663.91953</td> </tr> <tr> <td>1</td> <td>46.44281</td> </tr> <tr> <td>2</td> <td>9.02798</td> </tr> </tbody> </table> <p>One problem is that we have stocks like Gazprom that are suspended, so one of the last quotes could be, for example, 2021-06-06. </p> <p>Taking a where >quote_day = DATE(NOW())</code> on <code does not work in this case. </p> <p>I also need the same date as the first lower date which is not in the first query, this can be done with the second query. </p> <p>My current solution is using PHP. This works, but the performance isn't perfect, like 100 stocks takes 5 seconds. </p> <p>I could use Redis, which also has the option to save the bids somewhere. </p> <p>Current:</p> <pre class="lang-sql prettyprint-override"><code>select `quote_date`, 'stocks' as `type`, `bid`, `stock_id` as id from ( select t.*, row_number() over(partition by stock_id order by `quote_date` desc) as rn from end_day_quotes_AVG t where quote_date <= DATE({$date}) AND stock_id in ({$val}) and currency_id = {$c_id} ) x where rn = 1 </code></pre> <p>The day before: </p> <pre class="lang-sql prettyprint-override"><code>select `quote_date`, 'stocks' as `type`, `bid`, `stock_id` as id from ( select t.*, row_number() over(partition by stock_id order by `quote_date` desc) as rn from end_day_quotes_AVG t where quote_date < DATE({$date}) AND stock_id in ({$val}) and currency_id = {$c_id} ) x where rn = 1 </code></pre> <p><code>Stock_id</code>, <code>quote_date</code> and <code>currency_id</code> are unique.</p> <p>我想要使用服务器数据的表:10.9.4-MariaDB-1:10.9.4</p> <p>编辑:</p> <p>解释的查询:</p> <pre class="brush:php;toolbar:false;">id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY <derived2> ALL NULL NULL NULL NULL 220896 Using where 2 DERIVED t ALL stock_id,quote_date NULL NULL NULL 2173105 Using where; Using temporary</pre> <p>创建表:</p> <pre class="brush:php;toolbar:false;">CREATE TABLE `end_day_quotes_AVG` ( `id` int(11) NOT NULL, `quote_date` date NOT NULL, `bid` decimal(15,5) NOT NULL, `stock_id` int(11) DEFAULT NULL, `etf_id` int(11) DEFAULT NULL, `crypto_id` int(11) DEFAULT NULL, `certificate_id` int(11) DEFAULT NULL, `currency_id` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci; INSERT INTO `end_day_quotes_AVG` (`id`, `quote_date`, `bid`, `stock_id`, `etf_id`, `crypto_id`, `certificate_id`, `currency_id`) VALUES (10537515, '2023-01-02', '16.48286', 40581, NULL, NULL, NULL, 2), (10537514, '2023-01-02', '3.66786', 40569, NULL, NULL, NULL, 2), (10537513, '2023-01-02', '9.38013', 40400, NULL, NULL, NULL, 2), (10537512, '2023-01-02', '8.54444', 40396, NULL, NULL, NULL, 2), ALTER TABLE `end_day_quotes_AVG` ADD PRIMARY KEY (`id`), ADD KEY `stock_id` (`stock_id`,`currency_id`), ADD KEY `etf_id` (`etf_id`,`currency_id`), ADD KEY `crypto_id` (`crypto_id`,`currency_id`), ADD KEY `certificate_id` (`certificate_id`,`currency_id`), ADD KEY `quote_date` (`quote_date`); ALTER TABLE `end_day_quotes_AVG` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10570526;</pre> <p>生成的填充查询:</p> <pre class="brush:php;toolbar:false;">select `quote_date`, 'stocks' as `type`, `bid`, `stock_id` as id from ( select t.*, row_number() over(partition by stock_id order by `quote_date` desc) as rn from end_day_quotes_AVG t where quote_date <= DATE('2023-01-02') AND stock_id in (2,23,19,41,40,26,9,43,22, 44,28,32,30,34,20,10,13,17,27,35,8,29,39,16,33,5,36589,25,18,6,38,37,3,45,7,21,46,15,4,24,31,36,38423,40313, 22561,36787,35770,36600,35766,42,22567,40581,40569,29528,22896,24760,40369,40396,40400,40374,36799,1,27863, 29659,40367,27821,24912,36654,21125,22569,22201, 23133,40373,36697,36718,26340,36653,47,34019,36847,36694) and currency_id = 2 ) x where rn = 1;</pre></p>
P粉653045807
P粉653045807

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P粉340980243

Are you looking for the two latest quotes for each bid as of a given date? If so, you can simply modify the first query to allow row numbers 1 and 2:

select `quote_date`, 'stocks' as `type`, `bid`, `stock_id` as id 
from ( 
    select t.*, row_number() over(partition by stock_id order by quote_date desc) as rn f
    from end_day_quotes_AVG t 
    where quote_date <= DATE(?) AND stock_id in (?)  and currency_id = ? 
) x 
where rn <= 2  -- the latest two
P粉899950720

To get the last bid (before a specific date) and the penultimate bid for each currency/stock in a single query, and effectively using indexes on currency_id, stock_id, quote_date, you can do this incrementally: First find the date with the maximum value for each currency/stock (willuse the index), then find the previous date (again, in the same way as using the index), then find the actual bid:

with stock_ids(stock_id) as (
    values (2),(23),(19),(41),(40),(26),(9),(43),
           (22),(44),(28),(32),(30),(34),(20),(10),
           (13),(17),(27),(35),(8),(29),(39),(16),
           (33),(5),(36589),(25),(18),(6),(38),(37),
           (3),(45),(7),(21),(46),(15),(4),(24),
           (31),(36),(38423),(40313),(22561),(36787),(35770),(36600),
           (35766),(42),(22567),(40581),(40569),(29528),(22896),(24760),
           (40369),(40396),(40400),(40374),(36799),(1),(27863),(29659),
           (40367),(27821),(24912),(36654),(21125),(22569),(22201),(23133),
           (40373),(36697),(36718),(26340),(36653),(47),(34019),(36847),
           (36694)
),
last_dates as (
    select t.currency_id, t.stock_id, max(t.quote_date) as quote_date
    from stock_ids
    join end_day_quotes_AVG t on
        t.currency_id=2 and
        t.stock_id=stock_ids.stock_id and
        t.quote_date <= '2023-01-31'
    group by t.currency_id,t.stock_id
),
next_to_last_dates as (
    select t.currency_id, t.stock_id, max(t.quote_date) as quote_date
    from last_dates l
    join end_day_quotes_AVG t on
        t.currency_id=l.currency_id and
        t.stock_id=l.stock_id and
        t.quote_date < l.quote_date
    group by t.currency_id,t.stock_id
)
select 'last' as 'when', currency_id, stock_id, quote_date, bid
from last_dates
join end_day_quotes_AVG using (currency_id, stock_id, quote_date)
union all
select 'next-to-last', currency_id, stock_id, quote_date, bid
from next_to_last_dates
join end_day_quotes_AVG using (currency_id, stock_id, quote_date)

If you want more than just the two most recent dates for each stock, you might be able to replace last_dates/next_to_last_dates with a recursive cte containing the number of days (limited to the number of days you want to collect).

violin

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