#file cache

Cara Menghapus File Sampah (Cache) Pada Smartphone Anda

File sampah adalah berkas yang tersimpan pada memori smartphone yang terus menumpuk tetapi tidak memiliki manfaat yang berarti. File sampah atau berkas sampah ini terkumpul pada folder sampah di Android. Sehingga akan membuat HP menjadi lemot dan tidak bekerja optimal. Oleh karena itu dibutuhkan cara membersihkan file sampah android dengan mudah dan cepat agar HP bekerja cepat dan optimal kembali.

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[ The anchorCache® hehigh-performance object caching system ever. ]

anchorCache® is a high-performance, distributed object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load. anchorCache® dropped the database load to almost nothing, yielding faster page load times for users, better resource utilization. It is simple yet powerful If you render webpages dynamically (using PHP) that are used to display relatively static websites or content, you may want to consider caching the page for a period of time. It’s particularly useful if your static website makes a large number of database queries or integrates external content. Caching will reduce the time it takes for each page to load and minimise the load on your web server. I cache just about every static website I operate since they make countless requests for information to numerous locations (sometimes I’ll cache a page for as long as a week). I don’t use the code below myself (I use a far more robust solution)… but it is very effective and implemented in about a minute.

How to Install it ?

1. Click Download & Unzip 2. Install folder and all files anchorCache/ your server 3. Add the php code On all pages your!

include("anchorCache/anchorCache.php");

4. Add the .htaccess file to main site root http://domain.com/.htaccess 5. Call to folder http://domain.com/anchorCache/ Administation page. 6. Done!

This anchorCache® application meets all platforms

anchorCache® DEMO

http://anchorcache.eu/anchorCache/

GTmetrix Report Speed Test

https://gtmetrix.com/reports/anchorcache.eu/4W9xNVgm

Features

Version 1.2 – UPDATED

anchorCache® PHP Caching Class

Added Administration Page

Added GZIP Compression .htaccess Module

Added Server Status Module

Added Auto Delete Cache File’s

Version 1.1 – BETA

anchorCache® PHP Caching Class

Added Administration Page

Added GZIP Compression .htaccess Module

Version 1.0 – INITIAL RELEASE

anchorCache® Caching Class (Miscellaneous)

Purchase $14.00 [ The anchorCache® hehigh-performance object caching system ever. ] anchorCache® is a high-performance, distributed object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load. anchorCache® dropped the database load to almost nothing, yielding faster page load times for users, better resource utilization. It…

Meet Linux’s New Fastest File-System – Bcachefs

First announced over five years ago, ex-Google engineer Kent Overstreet is pleasured in announcing the general availability of a new open-source file-system for Linux, called the Bcache File System (orBcachefs). Bcachefs is a Linux kernel block layer cache that aims at offering a speedier and more advanced way of storing data on servers. Bcachefs promises to provide the same performance and…

I recently worked on writing a script that included an expensive query on the database. Every time I ran the script it did the query over again. Rather than hammer the database I decided I would cache the result in a file until I had finished writing and debugging the script. Below is the simplified version of how it worked.

import os import cPickle as pickle def cached_data(): cache_path = "/tmp/cached-data.pickle" if not os.path.exists(cache_path): # The cache doesn't exist, create it and populate it result = generate_data() cache_file = open(cache_path,'wb') # Write it to the result to the file as a pickled object # Use the binary protocol for better performance pickle.dump(result, cache_file, protocol=1) cache_file.close() return pickle.load(open(cache_path,'rb')) def generate_data(): """ This function actually generates the data when it isn't cached. The data generated is often expensive to compute so caching helps with performance. """ return []