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Suddenly said/Var space is full, and then the system stuck, finally completely out of control, restart try, did not expect to prompt what system error, please contact the administrator such as the prompt, but also into the landing interface what. Then use the other computer to connect SSH with the root account access.# Cd/var/var # du-sh * Check to see that the cache is taking up a lot of memory. A soft connection is then established.Move the file to a home directory with a large spaceMv-rf/var/

Intercept the mobile login password via Charles 1. Make the PC and Android phone in the same wifi 2. PC-side installation of Charles ' SSL certificate 2. The proxy address for setting up WiFi in the Android phone is the current address of the PC, the port number is: 8888 3. Import the certificate provided by Charles from Android phone set > Security and Privacy > Install from storage device > select certificate 4. Open the app on the phone and sign in 5. Crawl the data packets in t

The "1002" error number appears when the brush machine is used by the Master painter, which means "cell phone offline". Possible causes of an error: The storage card may not be detected, please insert the storage card and swap the USB connection mode for "charge only" or "sync" and try again. You can try the following methods to resolve: 1. Check whether the device has been inserted to read and write the SD/TF card properly. 2. If your device has

April this year, I wrote 4 consecutive "video sharing network analysis of the status of XX" article. From the "Alexa data" "Brand Promotion" "SEO data" "promotional means" and so on, the analysis of several mainstream video site in these aspects of the situation. Today, in a different way, write about the feelings, impressions, and experiences of a few familiar video sites. First of all, I would like to talk about my favorite video sharing site "Youku

write emotional honey means can not extricate oneself of the time may prompt the author your content digress. Operation of the site is the same thing, as for the benefit of doing so is to develop, progress related to find the consequences of the display flow and then focus on the site key word category weight. How to master the direction of the most important is based on my grasp of the investigation of the practice of the situation, as the title of

Your enterprise site has encountered such a situation: when we use all the way to the top of our Enterprise keyword ranking to do the search engine home page, then the site is how to also not to the top three. Or even go up is not stable, in a few days will be beaten back to the original. Many webmasters are very puzzled, my optimization methods are very formal, no use of cheating means, and the recent site has not changed. In fact, I think that will

Site repeat too high will be the search engine mistaken for plagiarism or imitation, from the beginning of this year's June, Baidu search engine increased the site's remediation efforts, which led to a lot of the site was down the right or by K, the search engine officially advocated is to improve the user experience, to combat plagiarism and false original. And from a lot of K Web site analysis, many sites are due to too much collection content and false original content caused, then we can be

I used a lot of keywords anchor Point, itself this station effect on a lot of, are some JS, will not be this affect that station ranking, or screenshot description. 　　 As you can see, I put a lot of anchor points in this dozens of word, or keyword, although there are a lot of no anchor point, but these keywords I have bold and underline, this is not cheating, used to use the way is very common, or I used too much, causing these Baidu adjustment that I was cheating, That's the reaso

, which tells you the webmaster in dealing with the basic starting point of the problem, is to quickly seize the era of what is changing, we promote the need to seize the change this point, it means to seize the pulse of marketing, which is what we want to say--and the focus of the current affairs of the Marketing tool link. The biggest feature of current affairs focus is the constant change, today may be the Diaoyu Island incident in the day of prote

I. Identifying a DB instance when using database native connection databaseThat is, when you use Sqlplus to connect to the database, Oracle_sid is the one that connects to that DB instance. It has nothing to do with an instance of @Second, Oracle_sid for database and operating system interactionThree, Oracle_name and Oracle_sid one by one correspondence (instance_name is the database parameter)Reference:Http://wenku.baidu.com/link?url=7UR0ATcqpyftH-v4NGWKo_M1hPEkq12_ Govmch8vo8kjnkqgxfck4gbwzbkj

= "Mybatis-config.xml" ; InputStream InputStream = resources.getresourceasstream (Resource); Sqlsessionfactory sqlsessionfactory = new Sqlsessionfactorybuilder (). Bui LD (InputStream); sqlsession session = Sqlsessionfactory.opensession (); try {Usermapper user = (Usermapper) session.getmapper (Usermapper.class); Listout . Print (userlist); } finally {session.close (); } }}Project code Download: Http://pan.baidu.com/s/1c12EDaCFive

access, and one point, is the index of the cluster factor, when this value is very high (perhaps a lot of friends notice that Sometimes a SQL logical reading is much larger than the whole table, that's all, even if the data you access is small, it's possible to go through a full table scan, and the cluster factor problem is almost inevitable in the case of many different fields, so, to really master the optimization, We must know and understand the basic knowledge and concepts involved in the d

version 2.4.11Full backup and Recovery1. Installing Percona-xtrabackupyum localinstall percona-xtrabackup-24-2.4.11-1.el7.x86_64.rpm -y2. Full backup (piloted with a self-built HELLODB as test data)# innobackupex (--user=root) /backup/默认就是以root用户去备份，这里省略了innobackupex /backup/3. Delete Data simulation corruptionrm -rf /data/mysql/*4. Organize log informationinnobackupex --apply-log /backup/2018-06-15_22-12-06/5. Stop the databasesystemctl stop mariadb6. Recover data to directory and modify perm

) this.width=650; "src=" Http://s1.51cto.com/wyfs02/M01/86/86/wKioL1fCpgqzuU5KAAC3GeRZrok130.png "style=" width : 735px;height:311px; "title=" Picture 11.png "alt=" Wkiol1fcpgqzuu5kaac3gerzrok130.png "width=" 735 "height=" 311 "border=" 0 " Hspace= "0" vspace= "0"/>650) this.width=650; "src=" Http://s1.51cto.com/wyfs02/M01/86/87/wKiom1fCpgqAZq7hAAC-VHaqNuE697.png "style=" width : 735px;height:302px; "title=" Picture 12.png "alt=" Wkiom1fcpgqazq7haac-vhaqnue697.png "width=" 735 "height=" 302 "bor

K-means (K-means) is a unsupervised clustering algorithm based on data partitioning.First, the basic principle Clustering algorithm can be understood as unsupervised classification method, that is, the sample set is unknown to the class or label, need to be based on the distance between samples or similar degree of automatic classification. Clustering algorithm can be divided into partition-based method, ba

In the front we have introduced a lot of supervised learning algorithms, classification and regression. This article mainly introduces unsupervised algorithm, through clustering analysis to deal with the No class mark data. We do not know the correct result of the data (class standard), through clustering algorithm to discover and mining the data itself structure information, the data Clustering (classification). The goal of clustering algorithm is that the similarity degree is high and the simi

machine learning process based on massive data. Of course, raw data ETL, feature index extraction, tuning parameters and optimizing the learning process, which still need to have enough industry knowledge and data sensitivity, which is often the embodiment of experience. The focus of this paper is to introduce to the reader how to use the K-means algorithm provided by MLlib Machine Learning Library to do cluster analysis, which is a meaningful proces

Recently in the study of some data mining algorithms, see this algorithm, perhaps this algorithm for you is very simple, but for me, I am a beginner, I read a lot of information on the Internet, found that the Chinese community did not put this issue is very comprehensive and very clear article, so, my study notes recorded, share to everyone.In data mining, k--means algorithm is a kind of cluster analysis algorithm, which is mainly to calculate the d

In data mining, the K-means algorithm is a kind of cluster analysis algorithm, which is mainly to calculate the data aggregation algorithm, mainly by continuously taking the nearest mean value of the seed point algorithm.ProblemThe K-means algorithm primarily solves the problem as shown in. We can see that there are some points on the left side of the graph that we can see with the naked eye that there are

In data mining, the K-means algorithm is a kind of cluster analysis algorithm, which is mainly to calculate the data aggregation algorithm, mainly by continuously taking the nearest mean value of the seed point algorithm.ProblemThe K-means algorithm primarily solves the problem as shown in. We can see that there are some points on the left side of the graph that we can see with the naked eye that there are