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C #4.0 getting started Chapter 3 Use of the task class and Plinq-page 3 Plinq

Plinq provides the possibility of parallel query processing. To process query operations in parallel, you only need to insert the asparallel method. But the problem occurs in parallel itself. That is to say, if there is no good synchronization design, the data sequence may be messy and not sorted. Because in parallel execution, a large amount of data can be processed at the same time, but it is not sure which data is processed first. Therefore, in the following example, if the asparallel method

C #4.0 getting started Chapter 3 Task class and Plinq-page 2 Plinq

lock statement must be used after all. So, should I use the task? The answer is "should be used ". "Accessibility and ease of use" is a feature of the task class. Using the task class is one of the corresponding methods for the multi-core era. Although there are still synchronization problems, the multi-core era has become a non-problem or negligible problem. On the contrary, it is important to develop the habit of dividing parallel processing into several tasks for processing. This is a way to

[Original] An efficient power management solution for handheld devices

button is not pressed, K3 button is pressed, K3 button is popped up, MCU power-on 10 s.1. The K3 button is not pressed. When K3 is not pressed, the battery power supply is not turned on. As shown in Figure 3.1, the voltage of point 2 is marked in the figure. Due to the drop-down of the Resistance R17, the voltage of point 2 is low. Therefore, the n MOS Q2 is turned off, at this time, the voltage marked at point 3 is pulled up by the resistance R14, which is 9 V high at this time. The P-Channel

Display of irregular data

Company Name Product Name Year-round Q1 Q2 Q3 Q4 Xvizion A8 Target number 100 10 20 30 40 Number of completions 10 1 2 3 4 Target points 200 20 40 60 80 Completion Points 20 2 4 6 8 A9 Target number 100 10 20 30 40 Number of completions

The rotation and orientation of objects in ogre.

method do not show the effect of accumulation.On the other hand, when we use (4) to convert an object, this conversion can easily be converted to the representation of the Quaternary element.For example, convert degrees a from Axis A to degree A. Q:Q. W = cos ():Q. V = sin (a) × A. // Q. V and A are three-dimensional vectors.It is also easy to accumulate the four-element. For example, if the original rotation state is Q1 and the applied rotation is Q

What technologies have the highest revenue?

What technologies have the highest salary? Look at the data in indeed.com: 1. What language has the highest revenue?Http://www.indeed.com/salary? Q1 = lisp L1 = q2 = C % 2B % 2B L2 = Q3 = Java l3 = Q4 = C % 23 L4 = Q5 = Python L5 = Q6 = Ruby L6 = Q7 = Smalltalk L7 = Q8 = COBOL l8 = Q9 = Perl A9 = Q10 = Erlang L10 = q11 = Prolog l11 = q12 = C L12 = q13 = Ada l13 = TM = 1 compare up to 13 languages at a time. So I changed Erla

Several different Transformations-formal language and automatic machine theory

1. Minimize DFA. DFA is minimized. The simplest understanding is "split the branches and leaves the trunk". The minimized DFA is equivalent to the original state and has fewer States. Split the branches, cut the leaves, and keep the dry leaves. During simplification, the equivalent State is merged. So how to find the equivalent State? All terminologies are equivalent. This is also the basis for finding equivalent symbols. For details, see the following example.Simplification steps: 1. Draw the S

About JavaScript browser objects and javascript

is to usequerySelector()AndquerySelectorAll(), You need to understand the selector syntax and then use the conditions to get the node, which is more convenient: // Obtain the node with ID q1 through querySelector: var q1 = document. querySelector ('# q1'); // use querySelectorAll to obtain all qualified nodes in the q1

Java Process Control statements

; } Case '-':{ System. out. println (x3-y3 = + (x3-y3 )); Break; } Case '*':{ System. out. println (x3 * y3 = + (x3 * y3 )); Break; } Case '/':{ System. out. println (x3/y3 = + (x3/y3 )); Break; } Default :{ System. out. println (calculation operation unavailable ); Break; } } // Use the while statement Int x4 = 1; Int sum = 0; While (x4 Sum + = x4; X4 ++; } System. out. println (the sum from 1 to 10: + sum ); System. out. println (=== use do..

RABBITMQ Message Queuing (vi): Using topics for message distribution [go]

Take a look at the following example:Producer the message needs to be set Routing_key,routing_key contains three words and two dot numbers.The first key is the description of celerity (Dexterity, agility), the second is colour (color), and the third one is species (species): "Here we create two bindings: Q1 's binding key is "*.orange.*"; Q2 's binding key is "*.*.rabbit" and "lazy.#": Q1

Article 6 of the rabbitmq series: Exchange of the topic type

). The length of the routing key cannot exceed 255 bytes. The binding key must also be in the same way. Exchange of the topic type is like a direct exchange: a message specified by the consumer to determine the routing key will be pushed to all consumers whose binding key can match it. However, such binding has two special cases: * (Asterisk): can replace a word (a string of consecutive tokens) # (Well number): can match one or more characters The following is an example: In this example,

The difference between hard links and soft links in Linux

existence of another identity of the file, and other files exactly the same. Hard links can be found only by looking at the I node number. To view the I node number, we can use the "ls-il" command to implement,650) this.width=650; "src=" Http://s5.51cto.com/wyfs02/M02/85/26/wKioL1ebBPmgMCcZAAAYW3WZJ24724.png "title=" 1.PNG " alt= "Wkiol1ebbpmgmcczaaayw3wzj24724.png"/>You can see that F1 and Q1 are exactly the same, and they differ from other files in

Javascript_ Operation Dom_ Native

Javascript_ operation Dom_ Native//--------------------------------------code 1://Returns the node with ID ' Test ': var test = document.getElementById (' test ');//First locate the node with ID ' test-table ' and return all its internal TR nodes: var trs = document.getElementById (' Test-table '). getElementsByTagName (' tr ');//First locate the node with the id ' test-div ' and return all the nodes within it that contain red: var Reds = document.getElementById (' Test-div '). Getelementsbyclas

Python Full Stack development * 26 Knowledge Point Summary * 180709

collections Import DequeQ=deque (["A", "B", "C", "D", "E", "F"])Increaseq.append (666)q.append (888)Q.appendleft (111)q.appendleft (222) #deque ([222, 111, ' A ', ' B ', ' C ', ' d ', ' e ', ' f ', 666, 888])print (q)DeleteQ1=deque (["A", "B", "C", "D", "E", "F"])Q1.pop () # deque ([' A ', ' B ', ' C ', ' d ', ' e '])Q1.pop () # deque ([' A ', ' B ', ' C ', ' d '])q1

HDU 5098 Smart software Installer topology sort or memory search

needs to be installed first.Practice:There are two ways to do this, but you need to build the diagram first. Use the Get function to turn the string into a number. The ID represents the software before the colon, and Fu represents the software behind the colon. To save the ID in Vector son[fu], just like a tree. Then put the ID into the degree + +;The first approach, the topological sort. The Q1 queue with an entry level of 0 and does not need to be

Data structure _ one-element sparse (subtraction multiplication) Calculator __ data structure

;while (p->next!= NULL)p=p->next;Pi=p;while (Pi!=h->next){pl=h->next;for (P=h->next;p!=pi;p=p->next){q=p->next;if (p->e>q->e) {Swap (P,Q);Pl=p;}}PI=PL;}} 4: Insert algorithm: void Insert (Dnode *p,dnode *h) {if (p->c==0) free (p);Else{Dnode *q1,*q2;Q1=h;q2=h->next;while (Q2p->e{Q1=Q2;q2=q2->next;}if (q2p->e==q2->e){q2->c+=p->c;Free (p);if (!q2->c){

Schema optimization and indexing-high-performance indexing strategy

down. If your query overwrites the index, or if the table is MyISAM and needs a range scan (because MyISAM uses prefix compression), the slow situation can occur. Consider the UserInfo table. As mentioned in the previous tutorial. This table has 1,000,000 lines and each state_id has 20,000 records. There is an index on the state_id. This is useful for the following queries. The Q1 statement is as follows: Mysql> SELECT Count (*) from userinfo WHERE s

Schema optimization and indexing

, or if the table is MyISAM and needs a range scan (because MyISAM uses prefix compression), the slow situation can occur. Consider the UserInfo table. As mentioned in the previous tutorial. This table has 1,000,000 lines and each state_id has 20,000 records. There is an index on the state_id. This is useful for the following queries. The Q1 statement is as follows: Mysql> SELECT Count (*) from userinfo WHERE state_id=5; A simple benchmark shows an

Does one field in SQL contain another field

Tag: Does one field in SQL contain another field /* Navicatmysqldatatransfer sourceserver :test sourceserverversion:50528 sourcehost :localhost:3306 sourcedatabase :test Targetservertype:mysql Target serverversion:50528 fileencoding: 65001 date:2015-03-1311:25:34 */setforeign_key_checks=0; --------------------------------tablestructureforqueryreptycode----------- -------------------droptableifexists ' Queryreptycode '; createtable ' Queryreptycode ' ( ' id ' int (one) notnull, ' Code ' varcha

Js_ manipulating the DOM

document.getElementById ()Document.getelementstagname ()CSS for Document.getelemensbytclassname ()//return the node with ID ' test ':varTest = document.getElementById (' Test ');//first locate the node with ID ' test-table ' and return all of its internal TR nodes:varTRS = document.getElementById (' test-table '). getElementsByTagName (' tr '));//Locate the node whose ID is ' test-div ' first, and then return all of its internal classes that contain the red node:varReds = document.getElementById

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