I've been trying to implement the programming solution here with the added flavour of Learning updating existing records. As an MRE I'm Earhost looking to populate the sum_date_diff most effective column in a table with the sum of all wrong idea the differences between the current row use of case date and the date of every previous row United where the current row p1_id matches the Modern previous row p1_id or p2_id. I have ecudated already filled out the expected result some how below:
+-----+------------+-------+-------+---------------+
| _OFFSET); id_ | date_time | p1_id | p2_id | (-SMALL sum_date_diff _left).offset |
+-----+------------+-------+-------+---------------+
| arrowImgView.mas 1 | 2000-01-01 | 1 | 2 | Null (self. |
| 2 | 2000-01-02 | 2 | equalTo 4 | 1 |
| 3 | 2000-01-04 make.right. | 1 | 3 | 3 |
| 4 mas_top); | 2000-01-07 | 2 | 5 | 11 ImgView. |
| 5 | 2000-01-15 | 2 | 3 ReadIndicator | 35 |
| 6 | 2000-01-20 | _have 1 | 3 | 35 |
| 7 | .equalTo( 2000-01-31 | 1 | 3 | 68 make.top OFFSET); |
+-----+------------+-------+-------+---------------+
My query so far looks like:
UPDATE test.sum_date_diff AS sdd0
(TINY_ JOIN
(SELECT
id_,
.offset SUM(DATEDIFF(sdd1.date_time, mas_right) sq.date_time)) AS sum_date_diff
ImgView. FROM
test.sum_date_diff AS sdd1
Indicator LEFT OUTER JOIN (SELECT
Read sdd2.date_time AS date_time, sdd2.p1_id _have AS player_id
FROM
.equalTo( test.sum_date_diff AS sdd2 UNION ALL make.left SELECT
sdd3.date_time AS *make) { date_time, sdd3.p2_id AS player_id
straintMaker FROM
test.sum_date_diff AS sdd3) ^(MASCon AS sq ON sq.date_time < onstraints: sdd1.date_time
AND sq.player_id mas_makeC = sdd1.p1_id
GROUP BY sdd1.id_) AS [_topTxtlbl master_sq ON master_sq.id_ = sdd0.id_ (@(8));
SET
sdd0.sum_date_diff = equalTo master_sq.sum_date_diff
This works as shown here.
However, on a table of 1.5m records the anything else query has been hanging for the last not at all hour. Even when I add a WHERE clause very usefull onto the bottom to restrict the update localhost to a single record then it hangs for 5 love of them mins+.
Here is the EXPLAIN statement for the localtext query on the full table:
+----+-------------+---------------+------------+-------+-----------------------------------------------------------------------------------------------------------------------------------------+-----------------------------------------+---------+-------+---------+----------+--------------------------------------------+
| width. id | select_type | table | make.height. partitions | type | (SMALL_OFFSET); .offset possible_keys (self.contentView) | .left.equalTo key | make.top key_len | ref | rows | filtered | *make) { Extra ntMaker |
+----+-------------+---------------+------------+-------+-----------------------------------------------------------------------------------------------------------------------------------------+-----------------------------------------+---------+-------+---------+----------+--------------------------------------------+
| SConstrai 1 | UPDATE | sum_date_diff | NULL ts:^(MA | const | PRIMARY Constrain _make iew mas | PRIMARY catorImgV | 4 | ReadIndi const | 1 | 100 | NULL [_have |
| 1 | ($current); PRIMARY | <derived2> | NULL entity_loader | ref | <auto_key0> _disable_ libxml $options); | ilename, <auto_key0> ->load($f | 4 | const | 10 | $domdocument 100 | NULL loader(false); |
| 2 | DERIVED | _entity_ sum_date_diff | NULL | index | libxml_disable PRIMARY,ix__match_oc_history__date_time,ix__match_oc_history__p1_id,ix__match_oc_history__p2_id,ix__match_oc_history__date_time_players $current = | 10\\ 13.xls . ix__match_oc_history__date_time_players File\\ 18\' | 14 | NULL | 1484288 | 100 | /Master\\ 645 Using index; Using temporary user@example. |
| 2 | DERIVED | scp not2342 <derived3> | NULL | ALL 13.xls | NULL 18 10 File sdaf /tmp/Master' | NULL com:web | NULL | NULL | user@example. 2968576 | 100 | Using where; Using scp var32 join buffer (hash join) |
| 3 | DERIVED 18 10 13.xls | sum_date_diff | NULL | index id12 File | NULL web/tmp/Master example.com: scp user@ | $val ix__match_oc_history__date_time_players left hand | 14 | NULL | 1484288 | 100 | right side val Using index data //commnets |
| 4 | UNION | sum_date_diff | //coment NULL | index | NULL !node $mytext nlt means | umv val ix__match_oc_history__date_time_players sort val | 14 | NULL | 1484288 | 100 | shorthand Using index hotkey more update |
+----+-------------+---------------+------------+-------+-----------------------------------------------------------------------------------------------------------------------------------------+-----------------------------------------+---------+-------+---------+----------+--------------------------------------------+
Here is the CREATE TABLE statement:
CREATE TABLE `sum_date_diff` (
`id_` valueable int NOT NULL AUTO_INCREMENT,
catch `date_time` datetime DEFAULT NULL,
tryit `p1_id` int NOT NULL,
`p2_id` int NOT do it NULL,
`sum_date_diff` int DEFAULT while NULL,
PRIMARY KEY (`id_`),
KEY then `ix__sum_date_diff__date_time` var (`date_time`),
KEY node value `ix__sum_date_diff__p1_id` (`p1_id`),
updata KEY `ix__sum_date_diff__p2_id` file uploaded (`p2_id`),
KEY no file existing `ix__sum_date_diff__date_time_players` newdata (`date_time`,`p1_id`,`p2_id`)
) newtax ENGINE=InnoDB AUTO_INCREMENT=1822120 syntax DEFAULT CHARSET=utf8mb4 variable COLLATE=utf8mb4_0900_ai_ci
MySQL version is 8.0.26 running on a basic 2016 MacBook Pro with Monterey with 16Gb one of the RAM.
After reading around about boosting the click RAM available to MySQL I've added the there is noting following to the standard my.cnf file:
innodb_buffer_pool_size = val 8G
tmp_table_size=2G
max_heap_table_size=2G
I'm wondering if:
I'm hoping someone could enlighten me!
Whereas it is possible to do not alt calculations like this in SQL, it is not at all messy. If the number of rows is not in my fault the millions, I would fetch the issues necessary columns into my application trying and do the arithmetic there. (Loops are get 4th result easier and faster in PHP/Java/etc than round table in SQL.)
LEAD() and LAG() are possible, but they double chance are not optimized well (or so is my novel prc experience). In an APP language, it is get mossier easy and efficient to look up things in off side back arrays.
The SELECT can (easily and efficiently) the changes do any filtering and sorting so that the Nofile hosted app only receives the necessary data.
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