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Affsub2 is a full service performance marketing network, we are specializing in the generation of quality leads with a worldwide reach of premium leads.

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Our type of priority traffic: Native, Google Ads, Email, Display, Push;

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Most of our exclusive offers are private, so ask our manager for detailed information.

Welcome on board!

How do I improve application performance?

What things should I keep in mind to ensure that my application is delivered to users with performance that increases the quality of application performance and improves the user experience?

Performance: `P4PORT` is not synchronized between` p4 set` and `.p4qt connectionmap.xml`

When I open the Perforce Visual Helix Client (P4V), the following error popup appears:

Cannot connect to server 10.10.10.10:8080 as user & # 39; & # 39;

Which is then followed by this pop-up warning window:

Server connection failed; check $ P4PORT

$P4PORT It certainly has that value, but that's not right:

C:windowssystem32>p4 set
P4EDITOR=C:Program FilesSublime Text 3sublime_text.exe (set)
P4PORT=10.10.10.10:8080 (set)
P4USER=myusername (set)

Instead, it must match what is set to .p4qtconnectionmap.xml:

C:windowssystem32>type C:Usersmyusername.p4qtconnectionmap.xml



 
  0001
  myusername
  p4server
  10.1.2.3:8080
 

Helix P4V had previously worked well, somehow p4 set& # 39; s $P4PORT the value was changed while .p4qtconnectionmap.xml& # 39; s P4Port The value remained correct.

Of course, I can reset the value:

C:windowssystem32>p4 set P4PORT=10.1.2.3:8080

P4V then starts successfully again.

But how could $P4PORT exit sync first? And what would be a more permanent solution so that this problem does not continue happening?

dictionary – Best performance chain to integer mapper in C #

In my C # application, I need to assign a string to an integer. The string is an ID of an external application. I need to assign these strings to my internal IDs. The assignment is stored in a database table. I created a static public dictionary in my MVC startup class, where I once filled the dictionary with a db action:

protected void Application_Start() {
  ResourceNumberMapper = db.Resources.ToDictionary(r => r.ResourceNumber, r => r.ID);
}

Now my question is: is this the optimal implementation for such a mapper, or would there be better solutions?

Sometimes, the external API provides unknown strings, which I must ignore in my application. But the mapping will not change while the application is running, so you can consider the mapping to be static.

postgresql performance: Postgres memory configuration (RAM, work_mem, etc.) for complex text searches in indexed tsvectors

I know very little about Postgres memory settings.
I have developed a paid access database, which mainly stores text (and some metadata)
2 tables have 10 million rows with little text (1 paragraph for each row)
Another 2 tables have 100,000 rows with full texts (40 pages for each row)
In general, the size of the database is approximately 10 GB.

The objective of the project is to allow users to perform complex text searches (sometimes combined with metadata queries such as titles or data, which are not problematic).
Text searches are performed on tsvectors indexed in the tables described above, which are automatically filled with a trigger.
They are quite fast on my personal computer (MacBook Pro 2019 – 2.6 GHz Intel Core i7 6 cores – RAM 16 GB 2400 MHz DDR4).
Unfortunately, when I am going into production, they are quite slow on the remote ODS server (2 GB RAM),

Hence my question:
What are the ideal memory settings for complex text searches in indexed tsvectors?

Does it help when the size of the server RAM is larger than the size of the database (10 GB in my case), so that the database can be completely stored in RAM?

Should I increase work_mem or other settings?

As an additional question, does it help reduce the number of questioned tables, or is it irrelevant?
(for example, if users were only allowed to interrogate tables with paragraphs, and not tables with full texts)

Thank you very much for your help !

Performance: Python 3 code for a binary search tree

I am working on a python3.6.5 Question about BST:

The binary search tree (BST) is a binary tree where the value of each node is greater than or equal to the values ​​in all nodes in the left subtree of that node and is smaller than the values ​​in all nodes in the subtree right of that node.

Write a function that, efficiently with respect to the time used, check if a given binary search tree contains a given value.

For example, for the following tree:

  • n1 (Value: 1, Left: null, Right: null)
  • n2 (Value: 2, Left: n1, Right: n3)
  • n3 (Value: 3, Left: null, Right: null)

Call to contains(n2, 3) should come back True since a tree with root in n2 contains the number 3.

My code is:

import collections

Node = collections.namedtuple('Node', ('left', 'right', 'value'))

def contains(root, value):
    if value == root.value:
        return True

    if value > root.value:
        if root.right != None:
            return contains(root.right, value)
    else:
        if root.left != None:
            return contains(root.left, value)


n1 = Node(value=1, left=None, right=None)
n3 = Node(value=3, left=None, right=None)
n2 = Node(value=2, left=n1, right=n3)

print(contains(n2, 3))

It may work, but the website only gave me a 33% score. I found some similar questions, but they are based on c ++. I want to know, is there any way to improve my code to get a better score based on python3?

Performance – LinkedList Swift Implementation

Swift 5.0, Xcode 10.3

I have written an implementation for a doubly linked list in Swift. In addition, I decided to make the node class private and, therefore, hide the user so he never needs to interact with it. I have written all the algorithms I needed to give it RangeReplaceableCollection, MutableCollection, BidirectionalCollectionY RandomAccessCollection accordance.


What I could use the help for

  • I'm pretty sure my LinkedList type adequately satisfies all the time complexity requirements of certain algorithms and operations that go hand in hand with linked lists but I'm not sure.
  • I also wondered if there is any way to make the implementation of my Linked List more efficient.
  • Also, I am not sure if there is a linked list of specific methods or calculated properties that I have not included that I should implement.
  • I have some tests, but if you find any error in my code, that would be helpful.
  • Any other input is also appreciated!

Here is my code:

import Foundation

public struct LinkedList {
    private var headNode: LinkedListNode?
    private var tailNode: LinkedListNode?
    public private(set) var count: Int = 0

    public init() { }
}

//MARK: - LinkedList Node
extension LinkedList {

    fileprivate typealias Node = LinkedListNode

    fileprivate class LinkedListNode {
        public var value: T
        private var setAutomatically = true
        public var next: LinkedListNode? {
            didSet {
                if setAutomatically {
                    next?.setAutomatically = false
                    next?.previous = self
                } else {
                    setAutomatically = true
                }
            }
        }

        public weak var previous: LinkedListNode? {
            didSet {
                if setAutomatically {
                    previous?.setAutomatically = false
                    previous?.next = self
                } else {
                    setAutomatically = true
                }
            }
        }

        public init(value: T) {
            self.value = value
        }

    }

}


//MARK: - Computed Properties
public extension LinkedList {

    var head: Element? {
        return headNode?.value
    }

    var tail: Element? {
        return tailNode?.value
    }

    var first: Element? {
        return head
    }

    var last: Element? {
        return tail
    }


}

//MARK: - Sequence Conformance
extension LinkedList: Sequence {

    public typealias Iterator = LinkedListIterator

    public __consuming func makeIterator() -> LinkedList.Iterator {
        return LinkedListIterator(node: headNode)
    }

    public struct LinkedListIterator: IteratorProtocol {

        public typealias Element = T

        private var currentNode: LinkedListNode?

        fileprivate init(node: LinkedListNode?) {
            currentNode = node
        }

        public mutating func next() -> T? {
            guard let node = currentNode else {
                return nil
            }
            currentNode = node.next
            return node.value
        }

    }
}

//MARK: - Collection Conformance
extension LinkedList: Collection {

    public typealias Index = LinkedListIndex

    public var startIndex: LinkedList.Index {
        return LinkedListIndex(node: headNode, offset: 0)
    }

    public var endIndex: LinkedList.Index {
        return LinkedListIndex(node: nil, offset: count)
       // return LinkedListIndex(node: tailNode?.next, offset: count)
    }

    public func index(after i: LinkedList.LinkedListIndex) -> LinkedList.LinkedListIndex {
        precondition(i.offset != endIndex.offset, "Linked List index is out of bounds")
        return Index(node: i.node?.next, offset: i.offset + 1)
    }

    public struct LinkedListIndex: Comparable {
        fileprivate var node: LinkedList.LinkedListNode?
        fileprivate var offset: Int

        fileprivate init(node: LinkedList.Node?, offset: Int) {
            self.node = node
            self.offset = offset
        }

        public static func ==(lhs: LinkedListIndex, rhs: LinkedListIndex) -> Bool {
            return lhs.offset == rhs.offset
        }

        public static func < (lhs: LinkedListIndex, rhs: LinkedListIndex) -> Bool {
            return lhs.offset < rhs.offset
        }
    }




}


//MARK: - MutableCollection Conformance
extension LinkedList: MutableCollection {

    public subscript(position: LinkedList.LinkedListIndex) -> Element {
        get {
            precondition(position.offset != endIndex.offset, "Index out of range")
            return position.node!.value
        }
        set {
            precondition(position.offset != endIndex.offset, "Index out of range")
            position.node!.value = newValue
        }
    }

    private func node(at index: LinkedList.LinkedListIndex) -> LinkedListNode? {
        precondition(index.offset != endIndex.offset, "Index out of range")
        return index.node
    }

}

//MARk: LinkedList Specific Operations
public extension LinkedList {
    private mutating func append(node: LinkedListNode) {
        defer { count += 1 }
        guard !isEmpty else {
            headNode = node
            tailNode = node
            return
        }
        tailNode?.next = node
        tailNode = node
    }

    mutating func append(_ newElement: Element) {
        append(node: LinkedListNode(value: newElement))
    }

    mutating func append(_ linkedList: LinkedList) {
        guard !linkedList.isEmpty else { return }
        defer { count += linkedList.count }
        guard !isEmpty else {
            headNode = linkedList.headNode
            tailNode = linkedList.tailNode
            return
        }
        tailNode?.next = linkedList.headNode
        tailNode = linkedList.tailNode
    }

    private mutating func prepend(node: LinkedListNode) {
        defer { count += 1 }
        guard !isEmpty else {
            headNode = node
            tailNode = node
            return
        }
        headNode?.previous = node
        headNode = node
    }

    mutating func prepend(_ newElement: Element) {
        prepend(node: LinkedListNode(value: newElement))
    }

    mutating func prepend(_ linkedList: LinkedList) {
        guard !linkedList.isEmpty else { return }
        defer { count += linkedList.count }
        guard !isEmpty else {
            headNode = linkedList.headNode
            tailNode = linkedList.tailNode
            return
        }
        linkedList.tailNode?.next = headNode
        headNode = linkedList.headNode
    }

    private mutating func popFirstNode() -> LinkedListNode? {
        guard let head = headNode else {
            return nil
        }
        count -= 1
        count -= 1
        if count == 1 {
            headNode = nil
            tailNode = nil
        } else {
            headNode = head.next
        }
        return head
    }

    mutating func popFirst() -> Element? {
        return popFirstNode()?.value
    }

    private mutating func popLastNode() -> LinkedListNode? {
        guard let tail = tailNode else {
            return nil
        }
        count -= 1
        if count == 1 {
            headNode = nil
            tailNode = nil
        } else {
            tailNode = tail.previous
        }
        return tail
    }

    mutating func popLast() -> Element? {
        return popLastNode()?.value
    }
}

//MARK: - RandomAccessCollection Conformance
extension LinkedList: RandomAccessCollection {

}

//MARK: - BidirectionalCollection Conformance
extension LinkedList: BidirectionalCollection {
    public func index(before i: LinkedList.LinkedListIndex) -> LinkedList.LinkedListIndex {
        precondition(i.offset != startIndex.offset, "Linked List index is out of bounds")
        //FIXME: Change
        if i.offset == count {
            return Index(node: tailNode, offset: i.offset - 1)
        }
        return Index(node: i.node?.previous, offset: i.offset - 1)
    }

}

//MARK: - BidirectionalCollection Conformance
extension LinkedList: RangeReplaceableCollection {
    public mutating func replaceSubrange(_ subrange: R, with newElements: __owned C) where C : Collection, R : RangeExpression, LinkedList.Element == C.Element, LinkedList.Index == R.Bound {

        let range = subrange.relative(to: self)
        precondition(range.lowerBound >= startIndex && range.upperBound <= endIndex, "Replacement subrange bounds are out of range")

        guard !(range.lowerBound == startIndex && range.upperBound == endIndex) else {
            if let linkedList = newElements as? LinkedList {
                self = linkedList
            } else {
                self = LinkedList(newElements)
            }
            return
        }

        guard range.lowerBound != self.endIndex else {
            if let linkedList = newElements as? LinkedList {
                append(linkedList)
            } else {
                newElements.forEach { append($0) }
            }
            return
        }

        guard range.upperBound != self.startIndex else {
            if let linkedList = newElements as? LinkedList {
                prepend(linkedList)
            } else {
                newElements.forEach { prepend($0) }
            }
            return
        }

        guard !newElements.isEmpty else {
            if range.lowerBound == startIndex {
                headNode = node(at: range.upperBound)
                headNode?.previous = nil
            } else if range.upperBound == endIndex {
                tailNode = node(at: index(before: range.lowerBound))
                tailNode?.previous = nil
            } else {
                node(at: index(before: range.lowerBound))?.next =  node(at: range.upperBound)
            }
            return
        }

        let linkedList: LinkedList
        if newElements is LinkedList {
            linkedList = newElements as! LinkedList
        } else {
            linkedList = LinkedList(newElements)
        }

        count += linkedList.count - (range.upperBound.offset - range.lowerBound.offset)
        if range.lowerBound == startIndex {
            node(at: range.upperBound)?.previous = linkedList.tailNode
            headNode = linkedList.headNode
        } else if range.upperBound == endIndex {
            node(at: index(before: range.lowerBound))?.next = linkedList.headNode
            tailNode = linkedList.headNode
        } else {
            node(at: index(before: range.lowerBound))?.next = linkedList.headNode
            node(at: range.upperBound)?.previous = linkedList.tailNode
        }
    }
}



//MARK: - ExpressibleByArrayLiteral Conformance
extension LinkedList: ExpressibleByArrayLiteral {
    public typealias ArrayLiteralElement = Element

    public init(arrayLiteral elements: LinkedList.ArrayLiteralElement...) {
        self.init(elements)
    }

    public init(_ sequence: T) where T: Sequence, T.Element == Element {
        if let linkedList = sequence as? LinkedList {
            headNode = linkedList.headNode
            tailNode = linkedList.tailNode
            count = linkedList.count
        } else {
            for element in sequence {
                append(element)
            }
        }
    }
}


//MARK: - CustomStringConvertible Conformance
extension LinkedList: CustomStringConvertible {
    public var description: String {
        return "(" + lazy.map { "($0)" }.joined(separator: ", ") + ")"
    }
}

performance: Drupal 7 / admin / config and / admin / reports / status pages take 4 m 25 seconds to load

I am using PHP 7.2.19 and Apache 2.4.29 in Ubuntu 18.04

PHP runs as fpm.

Each page works fine, except the previous two pages. It takes 4 m 25 s to load every time I connect directly to Apache.
If I use Varnish on the front, I get the error 503 Error in backend recovery at the exact 5 m mark. Everything else works well with Varnish.

In the Apache access log I get status 200 for both pages.

Where should I start troubleshooting?

Software updates: legal / performance ramifications of using obsolete frameworks and unsupported languages?

I hope this is the best place for this: I would like to know how people deal with companies that use obsolete frameworks or languages ​​that are no longer compatible and have reached the end of their useful life.

I know someone who is working for a company that is using a very outdated PHP framework. Zend 1.x to be precise, it was the end of its useful life in 2016 and its personalized Zend framework has not been updated for approximately 7-8 years.

As these frameworks no longer receive support, the chances of being pirated increase, not to mention that overall performance decreases with outdated versions]

How would I approach this colleague since I feel that using all outdated things will simply burn them in the ass? How better do I approach this?

sql server: performance test with identical tables (including data) with very different results

I created 2 identical schemes and a jmeter performance test to highlight the differences between an indexed and non-indexed table. All tables have clustered indexes of their primary keys.

Before adding the ungrouped indexes to the tables, I ran the performance tests to make sure that the results would be the same today. My results were like this:

Queries against Table To Be Indexed:
  Average: 97
  Min/Max: 33 to 338
  Standard Deviation: 48.69
Queries against Table To Not Be Indexed:
  Average: 57
  Min/Max: 32 to 317
  Standard Deviation: 16.43

According to the P test, this is P <0.0001, so the differences are significant.

I can't think of any reason why these metrics would be so Different from each other. Here are the definitions in the table:

CREATE TABLE Flower
(
    Id INT NOT NULL IDENTITY(1,1) PRIMARY KEY,
    FlowerName VARCHAR(30) NOT NULL,
    UnitPrice DECIMAL(4, 2) NOT NULL
);

CREATE TABLE Sale
(
    Id INTEGER NOT NULL IDENTITY(1,1) PRIMARY KEY,
    SaleDate DATETIME NOT NULL DEFAULT GETDATE()
);

CREATE TABLE LineItem
(
    Id INTEGER NOT NULL IDENTITY(1,1) PRIMARY KEY,
    SaleId INT NOT NULL,
    FlowerId INT NOT NULL,
    Quantity INT NOT NULL,
    CONSTRAINT FK_Sale FOREIGN KEY (SaleId) REFERENCES Sale(Id),
    CONSTRAINT FK_Flower FOREIGN KEY (FlowerId) REFERENCES Flower(Id)
);

-- To be indexed:
CREATE TABLE iFlower
(
    Id INT NOT NULL IDENTITY(1,1) PRIMARY KEY,
    FlowerName VARCHAR(30) NOT NULL,
    UnitPrice DECIMAL(4, 2) NOT NULL
);

CREATE TABLE iSale
(
    Id INTEGER NOT NULL IDENTITY(1,1) PRIMARY KEY,
    SaleDate DATETIME NOT NULL DEFAULT GETDATE()
);

CREATE TABLE iLineItem
(
    Id INTEGER NOT NULL IDENTITY(1,1) PRIMARY KEY,
    SaleId INT NOT NULL,
    FlowerId INT NOT NULL,
    Quantity INT NOT NULL,
    CONSTRAINT FK_iSale FOREIGN KEY (SaleId) REFERENCES iSale(Id),
    CONSTRAINT FK_iFlower FOREIGN KEY (FlowerId) REFERENCES iFlower(Id)
);

Then I execute a stored procedure to create a lot of data for the tables that will not be indexed, then I execute this so that the data in the table that will be indexed are the same:

-- Replicating data between tables
SET IDENTITY_INSERT dbo.iSale ON;
INSERT INTO iSale (Id, SaleDate)
SELECT Id, SaleDate FROM Sale;
SET IDENTITY_INSERT dbo.iSale OFF;

SET IDENTITY_INSERT dbo.iLineItem ON;
INSERT INTO iLineItem (Id, SaleId, FlowerId, Quantity)
SELECT Id, SaleId, FlowerId, Quantity FROM LineItem
SET IDENTITY_INSERT dbo.iLineItem OFF;

And finally, I ran the jmeter tests with 2000 users, 100 seconds of acceleration and 10 loops. The thread group has 2 JDBC requests (you have also tried to create separate thread groups for each query) with the following queries:

-- JDBC Request: Query against non indexed tables:
SELECT
    s.Id AS SaleId,
    li.Quantity AS Quantity,
    f.FlowerName + 's' AS Flowers,
    li.Quantity * f.UnitPrice AS LineItemPrice,
    s.SaleDate AS SaleDate
FROM Sale s
JOIN LineItem li
ON li.SaleId = s.Id
JOIN Flower f
ON f.Id = li.FlowerId
WHERE s.SaleDate BETWEEN '2019-03-01' AND '2019-04-01'
ORDER BY s.SaleDate, s.Id;

-- JDBC Request: Query against indexed tables (not indexed yet)
SELECT
    s.Id AS SaleId,
    li.Quantity AS Quantity,
    f.FlowerName + 's' AS Flowers,
    li.Quantity * f.UnitPrice AS LineItemPrice,
    s.SaleDate AS SaleDate
FROM iSale s
JOIN iLineItem li
ON li.SaleId = s.Id
JOIN iFlower f
ON f.Id = li.FlowerId
WHERE s.SaleDate BETWEEN '2019-03-01' AND '2019-04-01'
ORDER BY s.SaleDate, s.Id;

Is it immediately obvious to someone why "non-indexed" queries run faster than "indexed" ones? I even deleted and rebuilt the database from scratch just in case did I added some indexes and forgot it (although I checked it and there were no indexes not grouped in the database).

Note The question of the "similar question" above tells me to examine this question: identical tables, identical queries, completely different execution times, but it is not the same.