9000 likes

, fileName) {if (! Casper. cli. has ("username") |! Casper. cli. has ("passwd") |! Casper. cli. has ("starturl") {console. log ("\ nUsage: \ n \ tcasperjs" + fileName + "-- starturl = http://www.centos6.com: 9000/mainapp/customized_iframe -- username = xx -- passwd = xx \ n"); casper. exit () ;}} function refresh () {this. wait (10000, function () {this. click ('a [title = "resume refresh"] '); this. log ('refreshed my resume ');}); this. run (refresh

), 30 hops max, 1500 byte packets 1 node2-priv.localdomain (10.10.10.106) 0.234 MS 0.217 MS 0.204 MS [Root @ node1 ~] # Traceroute-F node2-priv 1501 Trace to node2-priv (10.10.10.106), 30 hops max, 1501 byte packets 1 node1-priv.localdomain (10.10.105) 0.024 MS! F-1500 0.005 MS! F-1500 0.004 MS! F-1500 [Root @ node1 ~] # In the RAC environment, we need to pay attention to one place. RAC private networks are mainly used for network heartbeat communication between nodes, but in addition, nodes oft

Recently, I debugged the public account function. when receiving the push, I didn't want to submit it to the server to view the log every time. so I used the reverse proxy of Nginx to forward the requests received by Port 80 on the server to 127.0.0.1: 9000 and then use ssh to build a tunnel to set the server's 9000... I recently debugged the public account function and didn't want to submit it to the serve

Tags: 646Day02The MySQL key value (key) # #设置在字段上, which constrains how to assign a value to a field. Normal indexUnique Indexes UniquePrimary KEY Primary KeyFOREIGN key foreign keyFull-Text Index fulltext +++++++++++++++++++++++++++++++++++1.1 Use of index for normal indexes1.1.1 What is an index?Equivalent to "book catalogue"Advantages and disadvantages of 1.1.2 indexesPros: Speed up your query historyCons: Accounting for physical storage space, slowing down write speed (insert update delete)

When installing the hadoop cluster today, all nodes are configured and the following commands are executed. Hadoop @ name-node :~ /Hadoop $ bin/hadoop FS-ls The Name node reports the following error: 11/04/02 17:16:12 Info Security. groups: group mapping impl = org. Apache. hadoop. Security. shellbasedunixgroupsmapping; cachetimeout = 300000 11/04/02 17:16:13 warn Conf. Configuration: mapred. task. ID is deprecated. Instead, use mapreduce. task. attempt. ID 11/04/02 17:16:14 info IPC. Cli

) -- transaction processing: the online transaction serial number of the electronic passbook or the online transaction serial number of the Electronic Wallet plus 1. The transaction amount is accumulated to the balance and the transaction details are updated. 9) -- Return confirmation: the IC card sends the TAC back to the terminal, and the host can not immediately verify the TAC PIN = 888888JE = 00100000DLK = 0000000000000000000000000000000000000066dtk = 00000000000000000000000000000077 CPUR

access, you can add a line in the/etc/hosts.deny configuration file: "sshd:192.168.31.100", plus the IP of host a can 650) this.width=650; "Src=" Http://s3.51cto.com/wyfs02/M00/5B/67/wKioL1UIVrTD9YhWAACV5wBYp-0627.jpg "title=" qq picture 20150314151110.png "alt=" Wkiol1uivrtd9yhwaacv5wbyp-0627.jpg "/> the connection has been closedEnvironment set up, we do on host a: ssh-nf-l 192.168.31.100:9000:192.168.31.163: 22 192.168.31.163Tunnel has, we are den

destroys the original intent of the unified front-end engineering command, which requires the introduction of a library to address cross-platform set environment variables. If you use Cross-env, cross-env NODE_ENV=production webpack You can work across platforms as long as you rewrite the build script in Package.json. Persistence of as the scale increases, the number of project custom environment variables can be more and more. For example, after the deployment of static resources to use a CDN

Php 5000~7000 2000~6000 8000~9000 4000~8500 5000~7000 How are these random sets of data in PHP more effective in judging if there are duplicates? Expectations are 2000~4000 4000~5000 5000~6000 6000~7000 7000~8500 8500~9000 Reply to discussion (solution) This post was last edited by xuzuning on 2013-10-09 09:00:13 $a = Array (array (7000), array (6000), Array (8000,

page. Then the above function is actually very simple to write down. Similarly, we can also crawl like and dislike numbers.def get_video_data (Video_page_url): # ... Response = Requests.get (video_data[' youtube_url ') soup = bs4. BeautifulSoup (response.text) video_data[' views '] = Int (re.sub (' [^0-9] ', ', ' soup.select '. Watch-view-count ') [0].get_text (). Split () [0])) video_data[' likes '] = Int (re.sub (' [^0-9] ',

is as follows (before version 2.6 ): Db. collection. remove () Versions later than version 2.6: Db. collection. remove ({JustOne: WriteConcern: }) Query (optional): Condition for deletion. justOne (optional): If it is set to true or 1, only one row is deleted. writeConcert (optional): the level at which an exception is thrown. Example: db. mycol. remove ({'name': 'test1 '}) (3) query documents The db. COLLECTION_NAME.find () method displays all data in an unstructured manner, and the db. COLLEC

1339. Babiestime limit:1.0 SecondMemory limit:64 MBO tempora! O mores!Present-day babies progress quickly. There is exactlykBoys andkGirls in the kindergarten. Some Boys like Some girls. Boys is still knights, so, if some boy like some girl then he likes the only girl and moreover one D The same girl can ' t be liked to more than one boy. And the girls in this is true ladies. So, if a girl likes a boy she

considerable, to achieve real-time recommendations must be set up a recommendation model, about the proposed model can be divided into the following types of establishment: Based on the item and the user itself, this recommendation engine treats each user and each item as a separate entity, predicting how much each user likes each item, which is often described by a two-dimensional matrix. Because the user is interested in items far less

games, entertainment, music, leisure life and other categories; Baidu is like a young man, such as Baidu likes mop, Tianya and so on.From the rankings:1, Baidu likes to include static keyword-named directories or HTML files. Ranking of course is also very forward.2, Baidu likes to include the title of a single keyword page, and ranked very forward.3, Baidu

1, why two (1927) time subtraction to get a strange result?(3,623 likes)If you execute the following program, the program resolves a two-second date string that is 1 seconds apart and compares: 12345678910 public static void main(String[] args) throws ParseException {SimpleDateFormat sf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); String str3 = "1927-12-31 23:54:07"; String str4 = "1927-12-31 23:54:08"; Date sDt3 = sf.parse(str3); D

This article is translated by Importnew-liken from Nolsit. Welcome to join the translation team. Reproduced please see at the end of the request.1, why two (1927) time subtraction to get a strange result?(3,623 likes)If you execute the following program, the program resolves a two-second date string that is 1 seconds apart and compares: public static void Main (string[] args) throws parseexception {simpledateformat SF = new SimpleDateFormat ("Y

1, why two (1927) time subtraction to get a strange result?(3,623 likes)If you execute the following program, the program resolves a two-second date string that is 1 seconds apart and compares: public static void Main (string[] args) throws parseexception {simpledateformat SF = new SimpleDateFormat ("Yyyy-mm-dd HH:mm:ss "); String str3 = "1927-12-31 23:54:07" ; String STR4 = "1927-12-31 23:54:08" ; Date sDt3 = Sf.parse (S

some conditions, you can use the following actions Operation Grammar Example RDBMS equivalent Equality { Db.mycol.find ({"By": "Tutorials Point"}). Pretty () where by = ' tutorials point ' Less Than { Db.mycol.find ({"likes": {$lt:). Pretty () Where likes Less Than Equals { Db.mycol.find ({"

{ db.col.find({"likes":{$lt:50}}).pretty() where likes Less than or equal to { db.col.find({"likes":{$lte:50}}).pretty() where likes Greater than { db.col.find({"likes":{$gt:50}}).pretty() where

{ Db.col.find ({"likes": {$lt:). Pretty () Where likes Less than or equal to { Db.col.find ({"likes": {$lte:). Pretty () where likes Greater than { Db.col.find ({"likes": {$gt:). Pretty () where