Ok, ich habe das getestet. Die Abfragen vom besten zum schlechtesten waren:
Abfrage 1: Verknüpft (0.016s, im Grunde Instant)
SELECT p.id, name
FROM parent p
JOIN relationship r1 ON p.id = r1.parent_id AND r1.other_id = 100
JOIN relationship r2 ON p.id = r2.parent_id AND r2.other_id = 101
JOIN relationship r3 ON p.id = r3.parent_id AND r3.other_id = 102
JOIN relationship r4 ON p.id = r4.parent_id AND r4.other_id = 103
Abfrage 2: EXISTS (0.625s)
SELECT id, name
FROM parent p
WHERE EXISTS (SELECT 1 FROM relationship WHERE parent_id = p.id AND other_id = 100)
AND EXISTS (SELECT 1 FROM relationship WHERE parent_id = p.id AND other_id = 101)
AND EXISTS (SELECT 1 FROM relationship WHERE parent_id = p.id AND other_id = 102)
AND EXISTS (SELECT 1 FROM relationship WHERE parent_id = p.id AND oth
Abfrage 3: Aggregat (1.016s)
SELECT p.id, p.name von übergeordneten p WHERE (SELECT COUNT (*) FROM Beziehung WHERE parent_id = p.id other_id UND IN (100.101.102.103))
Abfrage 4: UNION Aggregat (2.39s)
SELECT id, name FROM (
SELECT p1.id, p1.name
FROM parent AS p1 LEFT JOIN relationship as r1 ON(r1.parent_id=p1.id)
WHERE r1.other_id = 100
UNION ALL
SELECT p2.id, p2.name
FROM parent AS p2 LEFT JOIN relationship as r2 ON(r2.parent_id=p2.id)
WHERE r2.other_id = 101
UNION ALL
SELECT p3.id, p3.name
FROM parent AS p3 LEFT JOIN relationship as r3 ON(r3.parent_id=p3.id)
WHERE r3.other_id = 102
UNION ALL
SELECT p4.id, p4.name
FROM parent AS p4 LEFT JOIN relationship as r4 ON(r4.parent_id=p4.id)
WHERE r4.other_id = 103
) a
GROUP BY id, name
HAVING count(*) = 4
Tatsächlich ist die oben produzierte die falschen Daten, so ist es entweder falsch oder ich habe etwas falsch mit ihm. Was auch immer der Fall ist, das obige ist nur eine schlechte Idee.
Wenn das nicht schnell ist, dann müssen Sie den EXPLAIN-Plan für die Abfrage betrachten. Ihnen fehlen wahrscheinlich nur die passenden Indizes. Versuchen Sie es mit:
CREATE INDEX ON relationship (parent_id, other_id)
Bevor Sie die Route der Aggregation nach unten gehen (SELECT COUNT (*) FROM ...) sollten Sie SQL Statement - “Join” Vs “Group By and Having” lesen.
Hinweis: Die oben genannten Zeitpunkte basieren auf:
CREATE TABLE parent (
id INT PRIMARY KEY,
name VARCHAR(50)
);
CREATE TABLE other (
id INT PRIMARY KEY,
name VARCHAR(50)
);
CREATE TABLE relationship (
id INT PRIMARY KEY,
parent_id INT,
other_id INT
);
CREATE INDEX idx1 ON relationship (parent_id, other_id);
CREATE INDEX idx2 ON relationship (other_id, parent_id);
und fast 800.000 Datensätze mit erstellt:
<?php
ini_set('max_execution_time', 600);
$start = microtime(true);
echo "<pre>\n";
mysql_connect('localhost', 'scratch', 'scratch');
if (mysql_error()) {
echo "Connect error: " . mysql_error() . "\n";
}
mysql_select_db('scratch');
if (mysql_error()) {
echo "Selct DB error: " . mysql_error() . "\n";
}
define('PARENTS', 100000);
define('CHILDREN', 100000);
define('MAX_CHILDREN', 10);
define('SCATTER', 10);
$rel = 0;
for ($i=1; $i<=PARENTS; $i++) {
query("INSERT INTO parent VALUES ($i, 'Parent $i')");
$potential = range(max(1, $i - SCATTER), min(CHILDREN, $i + SCATTER));
$elements = sizeof($potential);
$other = rand(1, min(MAX_CHILDREN, $elements - 4));
$j = 0;
while ($j < $other) {
$index = rand(0, $elements - 1);
if (isset($potential[$index])) {
$c = $potential[$index];
$rel++;
query("INSERT INTO relationship VALUES ($rel, $i, $c)");
unset($potential[$index]);
$j++;
}
}
}
for ($i=1; $i<=CHILDREN; $i++) {
query("INSERT INTO other VALUES ($i, 'Other $i')");
}
$count = PARENTS + CHILDREN + $rel;
$stop = microtime(true);
$duration = $stop - $start;
$insert = $duration/$count;
echo "$count records added.\n";
echo "Program ran for $duration seconds.\n";
echo "Insert time $insert seconds.\n";
echo "</pre>\n";
function query($str) {
mysql_query($str);
if (mysql_error()) {
echo "$str: " . mysql_error() . "\n";
}
}
?>
Also noch einmal schließt sich der Tag tragen.
Dies ist genau das, was ich habe, nur anders geschrieben. –
Sie haben Ihre Antwort vollständig geändert ... –
Ja. Weil ich die Frage missverstanden habe. – cletus