9000 likes

we'll assume that there are two beauty apps:The first filter function is very beautiful, the product interface and hair graph experience are very fast app, but no praise and comment function, sent out on the hair, in addition to see the volume of nothing;The second kind of experience is poor, the interface is poor, but a plot, basically can see some people's praise and comments.Which app are you saying is more popular? The answer is clearly the latter.For content producers, we are so hard to co

The "TOP" and "Step" voting functions implemented by PHP + MySql + jQuery, mysqljquery This example shares the red-blue (top-step) Voting code based on PHP + jQuery + MySql. The specific content is as follows: Database Operations: CREATE TABLE IF NOT EXISTS `votes` ( `id` int(10) NOT NULL AUTO_INCREMENT, `likes` int(10) NOT NULL DEFAULT '0', `unlikes` int(10) NOT NULL DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8; INSERT I

"Syntaxerror:keyword can ' t be an expression　There is a change, no is created>>> dict4[' code ' = ' Learning to program can change the world '>>> dict4[' student ' = ' genius first step, but ... '>>> Dict4{' Code ': ' Learning to Program can change the world ', ' draw ': ' Every pen is a world ', ' student ': ' Genius first step, but ... '}Dict () factory function (type) str (), int (), list (), tuple () ...Fromkeys (...) re-creates a new dictionaryDict.fromkeys (S[,v]), New dict with keys fro

Com.java.dao; Import java.util.ArrayList; Import Java.util.HashMap; Import java.util.List; Import Java.util.Map; Import org.bson.Document; Import Com.mongodb.BasicDBObject; Import com.mongodb.MongoClient; Import com.mongodb.client.FindIterable; Import Com.mongodb.client.MongoDatabase; Import Com.mongodb.util.JSON; /** * Test class * @author Koo * * */public class Mainmonhelperimpl {public static void main (string[] args) {Mon Gohelper mongohelper = new Mongohelper (); Mongoc

The "top" and "stepping on" voting functions implemented by PHP + MySql + jQuery jump to [1] [full screen preview] Create table if not exists 'votes '('id' int (10) not null AUTO_INCREMENT, 'lik' int (10) not null default '0 ', 'unlik' int (10) not null default '0', primary key ('id') ENGINE = MyISAM default charset = utf8; insert into 'votes '('id ', 'likes ', 'unlikes') VALUES (1, 30, 10); create table if not exists 'votes _ IP' ('id' int (10) not

id - integer title - string body - textcomments id - integer post_id - integer body - textlikes id - integer likeable_id - integer likeable_type - string We can see that the likeable_type field in the likes table is used to determine whether the record prefers post or comment, and the table structure is available. next we will define the model. morphTo(); }}class Post extends Model{ /** * Get all of the product'

Recently has been using MongoDB, sometimes will need to use statistics, on the Internet to check some information, the most suitable for use is to use aggregate, the following introduction of their own use of experience. MongoDB polymerizationMongoDB Aggregation (aggregate) is used primarily to process data (such as statistical averages, sums, and so on) and to return computed data results. Somewhat similar to the count (*) in an SQL statement.Aggregate () methodMethods of aggregation in MongoD

We first prepare to run the required MySQL datasheet for the entire instance, with two tables in the instance, a votes table to record the number of user votes for the corresponding article or comment, and we default to write a data ID of 1 to demonstrate that the VOTES_IP table is used to record the IP of each user voting, The program determines whether the vote is valid based on the user's IP. code is as follows copy code CREATE TABLE IF not EXISTS ' votes '

The condition operators in MongoDB are: · (>) Greater than-$GT · ( · (>=) greater than or equal to-$gte · ( We used the database name "Runoob", our collection name is "Col", the following is the data we inserted. To facilitate testing, we can use the following command to empty the collection "col" Data: Db.col.remove ({}) Insert the following data: >db.col.insert ({ title: ' PHP Tutorial ', Description: ' PHP is a powerful server-side scripting language for creating dynamic interactiv

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-"Created on 2014-8-12@author:guaguastd@name:friends_popular_category.py" # impot loginfrom Login Import facebook_login# Import helper#from Helper Import pp# Calculating the most popular category Among your friendsfrom prettytable import prettytablefrom Collections import counter# access to FACEBOOKFACEBOOK_API = FAC Ebook_login () # Get friends like through single request#friends_like = Facebook_api.get_object (' Me ', fields= ' Id,name, Friends.fields (

This article for everyone to share the implementation of PHP+JQUERY+MYSQL based on the red-blue (top step) voting code for your reference, the specific contents are as follows Database operations: CREATE TABLE IF not EXISTS ' votes ' ( ' id ' int ') NOT NULL auto_increment, ' likes ' int (a) NOT null DEFAULT ' 0 ', ' unlikes ' int () not NULL default ' 0 ', PRIMARY KEY (' id ') ) Engine=myisam DEFAULT Charset=utf8; INSERT int

"));3 //partitions.put ("Learn_target",4 //datastore.getpartition ("Learn_target"));5 //partitions.put ("Learn_truth", Datastore.getpartition ("Learn_truth"));6 //Experimental Partitioning7Datastore =Psl.getdatastore ();8Partitions.put ("Obs", Datastore.getpartition ("Obs"));9Partitions.put ("Target", datastore.getpartition ("target")));TenPartitions.put ("Truth", Datastore.getpartition ("truth")); OnePsl.setpartitions (partitions); • When weight learning is requ

3. Data display related commands 3.1 Set separator:. Separator separator Help Separator STRING Change separator used by output mode and. Import Example Default separator is | sqlite> SELECT * FROM Cars; 1|Audi|52642 2|Mercedes|57127 3|Skoda|9000 4|Volvo|29000 5|Bentley|350000 6|Citroen|21000 7|Hummer|41400 8|Volkswagen|21600 Custom Separator sqlite> .separator - sqlite> SELECT * FROM Cars;

, example: -p 80-90:80-90 . Or more than one -p parameter.6, the -v parameter specifies the local mount directory (in the example /work ) subdirectory (for example /www ) in the host cannot be a soft link, otherwise it will cause nginx 404, because the soft link in the container is invalid. But /work it can be a soft link itself.Nginx Configuration:Hello.cc.confserver { listen 80; server_name hello.cc; access_log logs/access.log; error_log logs/error.log; root /work/yphp/

a short period of time, and the same problem can take weeks or longer if the programmer writes the appropriate reporting program. In most ASP applications we have access to the database, and the standard syntax for database operations when we write an ASP application is SQL, so the importance of SQL syntax is self-evident. Next, we start with the most commonly used SQL statement SELECT to learn SQL Step-by-step. Queries are the core of the SQL language, and the SELECT statement for expressing S

or give the user identity permission to perform specific functions. 3. If you are passing the user's identity and password to the Getconnection method, make sure that you are passing the correct value, define the variables in the class, pass the variables through the ResourceBundle property file, and so on. 4. If you are not passing the user identity and password to the Getconnection method, make sure that the IBM WS adminserver service "Startup-log on as" parameter specifies an authorized user

How can I effectively determine whether there are intersection of several sets of data ranges? php 5000 ~ 7000 2000 ~ 6000 8000 ~ 9000 4000 ~ 8500 5000 ~ 7000 In php, how can we more effectively judge whether there are duplicates of these groups of random data? Expected value: 2000 ~ 4000 4000 ~ 5000 5000 ~ 6000 6000 ~ 7000 7000 ~ 8500 8500 ~ 9000 Reply to discussion (solution) This post was last

; # REDIRECT Server error pages to theStaticPage/50x.html # Error_page - 502 503 504/50x.html; Location= /50x.html {root html; } # Proxy The PHP scripts to Apache listening on127.0.0.1: the# #location~\.php$ {# Proxy_pass http://127.0.0.1;#} # Pass the PHP scripts to FastCGI server listening on127.0.0.1:9000# #location~\.php$ {# root HTML; # Fastcgi_pass127.0.0.1:9000; # Fastcgi_index index.php; # Fa

For the first time, Hadoop was configured on the VM, and three virtual machines were created, one as namenode and jobtracker. The other two machines are used as datanode and tasktracker. After configuration, start the Cluster View cluster status through http: // localhost: 50700 No datanode found Check the node and find that the datanode process has been started. view the logs on the datanode machine. 2014-03-01 22:11:17, 473 INFO org. apache. hadoop. ipc. client: Retrying connect to server: Ma

/myidRoot @ nn1:/opt/zookeeper/conf # vim zoo. cfg Modify DataDir =/opt/zookeeper/tmpServer.1 = dnzk1: 2888: 3888Server.2 = dnzk2: 2888: 3888Server.3 = dnzk3: 2888: 3888 Generate key Ssh-keygen-t dsa Append id_dsa.pub to the/home/docker/config/authorized_keys file of the host. Root @ nn1:/opt/hadoop # cat ~ /. Ssh/id_dsa.pub Run Sudo docker commit-m "namenode1" installspark ubuntu: ns1 Modify the local host/home/docker/config/hosts fileAdd 172.17.0.11 nn1172.17.0.12 nn2172.17.0.13 rm1172.17.0.14