分享程序员开发的那些事...
更新时间：2023-11-27 09:41:52
有几种方法可以使此代码更快(每个应该都比前面的代码要快，但是它会逐渐变得更快).习惯用法少一些):
There are several ways that you can make this code faster (each one should be faster than the preceding ones, but it gets progressively less idiomatic-slick):
如果在slick-pg 0.16.1+上运行insertOrUpdateAll而不是insertOrUpdate
await(run(TableQuery[FooTable].insertOrUpdateAll rows)).sum
一次运行所有DBIO事件，而不是等每个事件都提交之后再运行下一个:
Run your DBIO events all at once, rather than waiting for each one to commit before you run the next:
val toBeInserted = rows.map { row => TableQuery[FooTable].insertOrUpdate(row) }
val inOneGo = DBIO.sequence(toBeInserted)
val dbioFuture = run(inOneGo)
// Optionally, you can add a `.transactionally`
// and / or `.withPinnedSession` here to pin all of these upserts
// to the same transaction / connection
// which *may* get you a little more speed:
// val dbioFuture = run(inOneGo.transactionally)
val rowsInserted = await(dbioFuture).sum
下降到JDBC级别并一次运行所有upsert(通过此答案想法) :
val SQL = """INSERT INTO table (a,b,c) VALUES (?, ?, ?)
ON DUPLICATE KEY UPDATE c=VALUES(a)+VALUES(b);"""
SimpleDBIO[List[Int]] { session =>
val statement = session.connection.prepareStatement(SQL)
rows.map { row =>
statement.setInt(1, row.a)
statement.setInt(2, row.b)
statement.setInt(3, row.c)
statement.addBatch()
}
statement.executeBatch()
}