“From what I have seen, Oracle applies the WHERE predicate before determining what rows to skip.” Yup. It is the only possible way. You can’t skip a row from a resultset until you have determined the resultset. The answer is simply not to limit the number of rows returned by the SELECT statement. You can … Read more
push() adds a copy of an already constructed object into the queue as a parameter, it takes an object of the queue’s element type. emplace() constructs a new object in-place at the end of the queue. It takes as parameters the parameters that the queue’s element types constructor takes. If your usage pattern is one … Read more
A very simple implementation, expressed in C. Implements a circular buffer style FIFO queue. Could be made more generic by creating a structure containing the queue size, queue data, and queue indexes (in and out), which would be passed in with the data to add or remove from the queue. These same routines could then … Read more
In your array implementation, your Query 1.1 seems to be the best way to do things. The only other way to remove a random element would be to move everything up to fill its spot. So if you had [1,2,3,4,5] and you removed 2, your code would move items 3, 4, and 5 up and … Read more
Queue has a constructor that takes in an ICollection. You can pass your list into the queue to initialize it with the same elements: var queue = new Queue<T>(list); // where ‘T’ is the lists data type.
In the past I have simply used sortedcontainers’s SortedList for this, as: > a = SortedList() > a.add(3) > a.add(2) > a.add(1) > a.pop() 3 It’s not a heap, but it’s fast and works directly as required. If you absolutely need it to be a heap, you could make a general negation class to hold … Read more
The builtin threading.Thread class offers all you need: start to start a new thread and join to wait for the end of a thread. import threading def task1(): pass def task2(): pass def task3(): pass def task4(): pass def task5(): pass def task6(): pass def dep1(): t1 = threading.Thread(target=task1) t2 = threading.Thread(target=task2) t3 = threading.Thread(target=task3) … Read more
I had the same problem I fixed it by increasing the ‘retry_after’ parameter make sure the retry_after value is greater than the time it takes a job to run in config/queue.php file ‘connections’ => [ ‘sync’ => [ ‘driver’ => ‘sync’, ], ‘database’ => [ ‘driver’ => ‘database’, ‘table’ => ‘jobs’, ‘queue’ => ‘default’, ‘retry_after’ … Read more