Every time you restart the machine the memcache daemon will go down and start again, resulting in loosing the stored data as memcached is an in memory store. So your previously stored data will not be there when you restart the machine.
I was able to solve the issue by extending the PDOStatement::fetch() and PDOStatement::fetchAll() functions. namespace trf; class StatementWithCaching extends \PDOStatement { protected $db; protected $cache; protected $cacheReturn; protected $cacheQuery; protected $queryCacheTime; protected function __construct(&$db) { $this->db =& $db; } function cache_execute( $array = NULL , $cache = FALSE , $cacheTime...
We got around this issue by grouping memcache servers into logical clusters within our client (2 or 3). While performing a cache "put", we put into all the clusters (which would save it on a single node within the logical cluster). However while performing a "get", we perform a get...
python,ajax,google-app-engine,memcached,gae-datastore
Answers - Do the check on blur. If you do it on key up, you will be hammering your server with unnecessary queries, annoying the user who is not yet done typing, and likely lag the typing anyway. If your Account entity is very large, you may want to create...
Just call $m->get the first time to populate $data, and don't call it again if you're just making updates:- if (!count($data)) $data=$m->get('foo'); $data[]=array('id'=>134,'title'=>'My First Car','content'=>'I love my car'); $m->set('foo',$data,TRUE,0); If you make $data global then you can reference it from other functions...
The main reason I see today as an use-case for memcached over Redis is the superior memory efficiency you should be able to get with plain HTML fragments caching (or similar applications). If you need to store different fields of your objects in different memcached keys, then Redis hashes are...
In Redis, lists are specifically used for modeling a timeline. Similar to that in memcached, a separate timeline object can be maintained containing the top n or (recent) IDs. A limit can be maintained for the timeline object so that it will store only 'n' IDs. Ex: Incase of twitter,...
python,multithreading,memcached,atomicity
Here's the corresponding function of the python client API https://cloud.google.com/appengine/docs/python/memcache/clientclass#Client_cas Also here's a nice tutorial by Guido van Rossum. Hope he'd better explain python stuff than I ;) Here's how the code should look like in your case: memcache_client = memcache.Client(['127.0.0.1:11211'], debug=True) key = "myList" while True: # Retry loop,...
Try some thing like this : ini_set('session.save_handler', 'memcache'); ini_set('session.save_path', 'tcp://localhost:11211?persistent=1&weight=1&timeout=1&retry_interval=15'); ...
python,django,google-app-engine,memcached
Presumably your using django-nonrel. In which case you can use all of Django's normal caching functionality, including the per-view cache decorator which does exactly what you want. (Note, for clarity, it doesn't seem to be templates you want to cache, but the output from the view itself.)...
I had quick look at Daili code base. It uses consistent hashing for distributing keys to servers. https://github.com/mperham/dalli/blob/master/lib%2Fdalli%2Fring.rb#L10 entry_count_for(server, servers.size, total_weight).times do |idx| hash = Digest::SHA1.hexdigest("#{server.name}:#{idx}") value = Integer("0x#{hash[0..7]}") continuum << Dalli::Ring::Entry.new(value, server) end and def entry_count_for(server, total_servers, total_weight) ((total_servers * POINTS_PER_SERVER * server.weight) / Float(total_weight)).floor end The keyspace of...
python,caching,flask,memcached,flask-cache
It's not supported because Memcache is designed to be a distributed hash. There's no index of keys stored to search in. Ideally you should know what suffixes a key may have. If not, you could maintain an index yourself in a special key for the user. Like user_id + '_keys'...
encoding,key,memcached,base64,libmemcached
What you're looking at is basically the decimal representation of 64 bits. They're probably talking about encoding the underlying bits directly to Base64 or hex, instead of encoding the decimal representation of the bits. They're essentially just talking about alphabet sizes. The larger the alphabet, the shorter the string: 64...
This is not recommended to store in Cache Break the array into pieces Use a file storage, maybe write a json file or something to access Use a database connection to store the data (recommended) 1GB of array is not recommended to store into Caching system. Only store those information...
There is add command in memcached that does what you want (list of commands). To avoid calling twice or more getTheResourceFromTheRemoteServer you should emulate write locks using memcached (combination of add and delete commands). So only a thread that successfully invokes add on same particular key (RESOURCE_KEY_LOCK) should call getTheResourceFromTheRemoteServer...
concurrency,redis,locking,memcached,concurrent-programming
tl;dr Use ready-made solution, suggested by developers. So, I decided not to use memcached for the purpose. Since it's a caching server. I don't see a way to ensure that it doesn't delete my keys because it's out of memory. With, redis that's not an issue as long as maxmemory-policy...
mysql,jpa,memcached,eclipselink
I recommend you use a query using a JOIN operation, rather than an IN (subquery) predicate. For example: SELECT o.ID , o.Value , o.RequestId FROM Observations o JOIN Requests r ON r.ID = o.RequestId WHERE r.UniqueIdentifier = '123456' AND r.UniversalServiceId = '1234' For optimum performance, suitable indexes would be: ......
Try the following (with sudo): sudo pip3 install python3-memcached For python3 packages it is better to use pip3. If you don't have it installed, type: sudo apt-get install python3-pip ...
caching,memory,redis,memcached,aws-ec2
With some oversimplification, let me try to explain in what appears to be the context of your question because there are multiple answers. It appears you are working with memory caching of directory structures. An inode in your context is a data structure that represents a file. A dentries is...
The problem is that you're using self.class.name in a class method and an instance method. First, here's the solution, change self.cached_latest to: def self.cached_latest Rails.cache.fetch([name, 'latest']) { Update.all.limit(5) } end In a self dot method (a class method) you're already in the class so calling self.class will return the class'...
java,google-app-engine,memcached
Shared memcache provides cache capacity on a best-effort basis and is subject to the overall demand of all applications served by App Engine. Dedicated memcache provides a fixed cache capacity assigned exclusively to your application. https://cloud.google.com/appengine/docs/adminconsole/memcache Also in your code, you get the item twice out of cache. You call...
It looks like you're missing some knowledge regarding C sockets in general. As an overview, a socket is a two way communication channel that connects a client with a server, each having their own end of the socket. What memcached is doing is using the socket mechanism to transfer data...
php,apache,session,web-applications,memcached
It looks like you're not changing the correct .ini file, but the example located in the documentation folder. You can find out where the correct ini file is on top in your phpinfo() next to "Additional .ini files parsed". That's the one you should change....
google-app-engine,memcached,gae-datastore,app-engine-ndb
You might be better off using a keys_only query and then doing a key.get() on each returned key. That way, memcache will be used for each post. Example (assuming Post is the model): keys, cursor, more = Post.query().fetch_page(30, start_cursor=cursor, keys_only=True) entities = ndb.get_multi(keys) ...
php,laravel-4,memcached,centos6.5
I still have no idea why memcached only works from the command line, but I decided to try Redis instead. After installing, everything works without a hitch.
I have never heard of your curly bracket notation and cannot find any information about it. I won't say it doesn't exist. But your easiest course of action would be to use a different separator that cannot be misinterpreted as part of a variable. Like this: set $memcached_key $cookie_devicetype:$request_uri; ...
Prpblem was with /etc/memcached.conf. Needed to change the host ip from 127.0.0.1 to my actual network ip....
Memcache and Memcached are two different PHP extensions. Memcache is the older deprecated one. Memcached is a much newer and fully supported extension. Check out http://pecl.php.net/package/memcached You may need to also install libmemcached https://launchpad.net/libmemcached/+download...
php,magento,session,memcached,magento2
This is because in Magento2 local.xml doesn't exist anymore and is replaced with config.php and config.php is in .gitignore (therefore you don't see it in GitHub!). Here you can find the instructions for creating your config.php file. At the bottom of the page under Segment details you can see how...
It's quite normal for any caching solution to rack up a number of items. Especially for lots of small objects it's often more efficient for a cache to keep them beyond their expiry (but no longer serve them) and then clear them out in a big sweep periodically. "Remnant records"...
If you really want caching "for all queries" you would be better of enabling the query cache of your database. It is much better at that. Besides the database schema there is no caching going on unless you explicitly enable it, like in your example. The documentation for $enableQueryCache clearly...
ruby-on-rails,ruby,caching,redis,memcached
Ended up using both redis and memcached. Pretty happy with the results.
java,google-app-engine,memcached
After sleeping on it for a night, I came up with a couple of approaches. Neither one of which is particularly elegant, but let me put them here as food for thought: MemCache does offer (at least) 4 commands that atomically modify an entry in some way and return some...
python,django,caching,memcached,python-memcached
The python-memcached library isn't compatible with Python 3.4. pylibmc doesn't support python3 as well. python3-memcached is outdated/unmaintained python3 port of the pure python memcache client implementation. Redis is strongly considered as better alternative to memcacahed in most cases. redis-py supports python3....
php,symfony2,service,memcached,containers
Configure your services into service.xml file // memcached service <service id="memcached" class="Memcached" /> // memcached injection <service id="uber.memcached" class="App\Bundle\Foo"> <call method="setMemcached"> <argument type="service" id="memcached" /> </call> </service> And then, use it on your service class // App/Bundle/Foo.php namespace App\Bundle; Class Foo { public function setMemcached($service) { // your code }...
java,google-app-engine,memcached,jpql,low-latency
You can put all objects in a single call. You can also use AsyncMemcacheService - it will work a little faster with put calls. Just remember: The "multi" batch operations can have any number of elements. The total size of the call and the total size of the data fetched...
I was able to figure this out. In app/code/core/Mage/Core/Model/App.php, look for: public function loadCache($id) { return $this->_cache->load($id); } Inside this function is where you want to add your temporary check: public function loadCache($id) { if (strstr($id, 'b1b5d70')) { $currentUrl = Mage::helper('core/url')->getCurrentUrl(); $cacheId = $this->_cache->load($id); $stack = Varien_Debug::backtrace(true, true); Mage::log("Mage_Core_Model_App: "...
Don't do this. As noted on the wiki there is no namespacing, neither by memcache nor by TYPO3 (which could e.g. just add some prefix). So when using two TYPO3 instances in the same memcache instance, it is possible (and even likely) that the identifiers (e.g. for the cached version...
memcached,binary,protocols,ascii
As you can see in the source code, it is all based on the first byte received by the server. If it is a magic request byte (0x80), then it considers that the client tries to use the binary protocol, otherwise it will use the ascii protocol.
google-app-engine,go,memcached
The := Short variable declaration can only be used inside functions. So either put the item variable declaration inside a function like this: import "appengine/memcache" func MyFunc() { item := &memcache.Item { Key: "lyric", Value: []byte("Oh, give me a home"), } // do something with item } Or make it...
As Jesper suggested, I solved the issue using Dalli memcached client.
Let's back up a bit. Unlike memcached, Couchbase is really meant to be installed as a separate tier in your infrastructure and as a cluster even if you are just using it as a high availability cache. A better architecture would be to have Couchbase installed on its own properly...
Memcached doesn't have such functionality, it only allows to access value by known key. Value is transparent for the memcached. To effectively match sub-string it is better to look at the storage engines that support secondary indexes such as tarantool If expected size of the value is not too big,...
ubuntu,perl,memcached,ubuntu-14.04,cpan
Developer release is available. I just successfully installed the working developer release that solves this bug by doing: $ cpan $ install SEANBURKE/Memcached-libmemcached-1.001800-TRIAL1.tar.gz ...
python,django,caching,memcached
Went back to the docks and started playing around with the port number for the location. Was able to make it report a different error that referenced 63894 as being the correct port number. Interesting to note that it was not the port the actual site was running off -...
java,google-app-engine,memcached,cache-expiration
Wow! This was obscure, but I figure it out: Taking a look at the source for the doPut()-method in AsyncMemcacheServiceImpl.java, line 505 reads: itemBuilder.setExpirationTime(expires == null ? 0 : expires.getSecondsValue()); And Expiration.getSecondsValue() contains the following line: return (int) (getMillisecondsValue() / 1000); In other words: An expiration value of "0" is...
python,google-app-engine,memcached,google-datastore
You can cache your query as usual, but in addition use _post_put_hook to invalidate current cached value. This way you will have almost up to date results in your cache. class Foo(ndb.Model): CACHE_KEY = 'bla_cache' bla = ndb.StringProperty() @clasmethod def build_page(cls): result = memcache.get(CACHE_KEY) if result is None: result =...
ruby-on-rails,ruby-on-rails-3,caching,null,memcached
One solution is to use a NullObject, like this: class Specialist NullData = Struct.new(nil) def city result = Rails.cache.fetch([self.class.name, self.id, "city"], expires_in: 23.hours) do if responded? .. else NullData.new() end result.is_a?(NullData) ? nil : result end end That way you create a null object that can be cached. Then when...
Solved it by using this combination: libmemcached release 1.0.16 - installed from source php-memcached release 2.1.0 - installed from source & Added memcached.so in php.in I Hope this help. ...
ruby-on-rails,caching,redis,memcached
Redis can be used for storing any data, the only limitation is that its protocol supports strings of up to 512MB - if your files are smaller than that, there shouldn't be any problem.
php,session,centos,memcached,libmemcache
OK, we managed to figure out the issue. First, we created a simple page that spit out phpinfo(). Note that it is important that you run this thru the web server - running php -i DOES NOT include any overrides that apache may add. Under the session section, the output...
security,google-app-engine,memcached
No. All GAE services, including memcache, are per-application. This is enforced at API level, there is no (known) way to access services in the name of some other app.
php,logging,nginx,memcached,apc
The best way is to use Lua with shared memory to store log entries, then create a timer which checks the size of logged entries every X seconds and uses a co-socket to dump the cache to a file or sql database. Should all be non-blocking. And yes you can...
python,django,caching,memcached
You could try to use queryset caching similar to what johnny-cache does and expire the querysets once new data comes in rather than every n minutes.
python,django,memcached,couchbase,high-availability
A better solution would be to use Couchbase's MOXI server to proxy memcached. You install it on your application server and it will do the connections to the Couchbase cluster for you. In Moxi's configs you want to make sure that you are using at least 3 of the Couchbase...
php,symfony2,caching,memcached,apc
I believe that you have to tell Doctrine when to use the configured caching driver, like so: public function getSomeEntities() { $qb = $this->createQueryBuilder('a'); $qb ->where('a.title = "test article"') ->orderBy('id', 'ASC') ; $query = $qb->getQuery(); $query->useResultCache(true, 60, 'uniqueCacheId'); return $query->getResult(); } You can also specify the use of query caching:...
Are you referring to this, when saying "in local.xml.additionnal" ? <config> <global> <session_save><![CDATA[]]></session_save> <!-- db / memcache / empty=files --> <!-- ... --> </global> </config> Then you are mistakenly assuming <session_save> and <backend> under <cache> are the same, because later in this same file around line 38 you can read...
php,caching,xampp,memcached,amazon-elasticache
You're confusing the two. memcached is the Memcache daemon program (the d stands for daemon). This has to be running for you to use Memcache. This is NOT what you use inside PHP. You launch this inside Windows like you would any other program. The Memcache PECL library is how...
cakephp,caching,memcached,cakephp-2.0
Really, you can place configuration values anywhere you would like, even in their own files as long as you load them in core.php or bootstrap.php. However, the default 2.0 core.php file states that other cache configurations should be in bootstrap.php as stated here: https://github.com/cakephp/cakephp/blob/master/app/Config/core.php#L349. FWIW, we load addition configuration files...
java,google-app-engine,memcached
Consider creating special keys which use characters that otherwise don't appear in your regular keys, e.g., by appending a suffix to keys, such that they don't conflict with regular keys. E.g., let's assume that your keys match the regex [A-Za-z0-9]+; then, you can take your key, e.g., foobar42 and create...
python,google-app-engine,caching,memcached
There is no guarantee on memcache entry, in theory it can be evicted anytime because memory pressure. You use memcache.add which only set the value if it is not there. Your timeout is 10 seconds, the memcache was added at 23:16:13 and it is lost when you access it...
I think it fails because you're trying to access memcached from the apache container connecting to the localhost of the apache container, while the memcached container is made accessible to the apache one on a different IP address. This is the line I think is wrong: $mc->addServer("localhost", 11211); When you...
You can do this in SQL: SELECT number FROM yourtable WHERE number = substring('36703657896',1,length(number)); This assumes your "number" column is a text type, if not you'll have to do some type casting. In node.js with node-memcached: var str='36703657896', maxMatchLength=4; var getkeys=[]; for (var i=0; i <= maxMatchLength; i++) { getkeys[i]...
python,redis,memcached,twisted
Take a look at the txredisapi library. Its a quite complete twisted implementation of both individual connection and connection pools (persistent and non-persistent) for redis. I've been using for a twisted project for a few months now and I've been quite happy with it. Wait, ok maybe I missing what...
caching,elasticsearch,redis,memcached,bigdata
A Redis Cluster sounds like a good fit for your usecase! Redis cluster provides a mechanism for data sharding by means of hash slots. These slots are equally distributed over the nodes in your cluster when setting it up. Whenever you store a value in the cluser, the corresponding hash...
First of all you need be sure that your Memcached configured and working properly. Check memcached port (11211 if default settings) / process etc... for example memcached -u www-data -vv. Then if you using memcached default configurations you should change core.php configurations like following: Uncomment section about memcached. After it...
After downloading and extracting libevent, you have to configure, build and install it. Only then can you go back to the memcached directory and rerun its configure, specifying where you installed libevent if it wasn't in one of the standard places (such as /lib, /usr/lib or /usr/local/lib)....
ruby-on-rails,ruby-on-rails-4,heroku,memcached,rackattack
I'm the author of rack-attack. tl;dr: when your caching backend (memcached or redis) is down, then all requests are allowed (i.e. fail-open). It really depends on what the Rails cache does. Both the Dalli memcached client (ActiveSupport::Cache::DalliStore), and the Redis client (ActiveSupport::Cache::RedisStore) rescue connection errors and timeouts to return nil....
The settings have remained the same; TEMPLATE and urls.py are the major changes. Documentation is here: https://docs.djangoproject.com/en/1.8/topics/cache/ As for the package to use in requirements.txt, it can depend on whether or not you are using Python 2 or 3. Naturally, the memory question is far beyond the scope of Django...
java,caching,redis,memcached,distributed-caching
You need to use read-through/write-through caching pattern where client application will consider cache as main data store and perform all read and write operations on cache. Cache on other hand will be responsible to sync itself with the database using deployed read-through/write-through providers. On read operation if data is not...
Nope, PHP's "memcached" is a PHP extension that provides an entryway into the memcached daemon (the real memcached, if you will)
python,django,caching,memcached,database-caching
# your client, be it memcache or redis, assign to client variable # I think both of them use set without TTL for permanent values. class Cell(models.Model): x = models.IntegerField(editable=False) y = models.IntegerField(editable=False) value = models.IntegerField() def save(self, *args, **kwargs): Cell.cache("row",self.y) Cell.cache("column",self.x) super(Cell, self).save(*args, **kwargs) @staticmethod def score(dimension, number): return...
No, there's exactly one memcache store. Memcache doesn't have any concept of who your users are. You can simply store your data under different keys: $memcache->set("entryNonStandardVars_$userId", ...); ...
This is happening as you are hitting the limits of the amount of memory available for caching. The cluster will attempt to free up memory (by ejecting not-recently-used items from RAM) but if you are writing data too fast to the cluster for it to free up memory before it...
This line: 'default' => env('CACHE_DRIVER', 'memcached'), means use the value of the environment variable CACHE_DRIVER. And default back to memcached if it doesn't exist. Instead you should change the value in your .env file: CACHE_DRIVER=memcached ...
python,django,caching,memcached,celery
This has been bugging me for a while until I found this question and answer. I just want to add some things I've learnt. You can easily reproduce this problem with a local memcached instance: from django.core.cache import cache import os def write_read_test(): pid = os.getpid() cache.set(pid, pid) for x...
Short answer is "no there isn't". Analyzing the queries for updates would completely defeat the point in using Memcached in the first place. You will need to invalidate the cache record during any database updates so that it will regenerate on the next call with the correct data. ...
java,caching,hashmap,memcached,ehcache
You can start trying Guava cache (Google Core Libraries for Java 1.6+) Generally, the Guava caching utilities are applicable whenever: You are willing to spend some memory to improve speed. You expect that keys will sometimes get queried more than once. Your cache will not need to store more data...
The usual method of (atomically) swapping over from one set of data in cache is with a Namespace. A prefix that is stored in its own key and is queried first before going on to fetch the main cached data. It works like this: You have a 'namespace' under a...
python,google-app-engine,caching,memcached
from google.appengine.api import memcache class BlogFront(BlogHandler): def get(self): client = memcache.Client() client.gets(FRONT_PAGE_KEY) client.cas(FRONT_PAGE_KEY, 'my content') For a reason I cannot yet possible understand, the solution lies in having a gets right before having a cas call ... I think I will stick with the memcache non-thread-safe version of the code...
python,django,caching,memcached
It's not the same thing at all, the {% cache %} template tag allows to cache a template fragment and that's used by the server, @vary_on_cookie decorator sets the Vary response header to Cookie, and that's used by the browser. Also, you could do {% cache 500 sidebar request.user %}...
google-app-engine,memcached,gae-datastore
GAE session is backed by Memcache and the Datastore: App Engine includes an implementation of sessions, using the servlet session interface. The implementation stores session data in the App Engine datastore for persistence, and also uses memcache for speed. (documentation) Since you need to store the orders data in the...
Simple Spring Memcached (SSM) annotation @ReadThroughSingleCache work in following way: Intercept method (getComplexObjectFromDB) call and check if value is in cache if yes then return it and do not execute the method. Result is not in cache so execute the method (getComplexObjectFromDB). Store result in cache. Return result. As you...
php,caching,zend-framework2,memcached
If you look at the part of the page relating to the Memcached adapter: http://framework.zend.com/manual/2.0/en/modules/zend.cache.storage.adapter.html#the-memcached-adapter You will see that the "ClearByPrefixInterface" is not listed as one of the interfaces that the adapter implements. You could always write your own interface or just use namespaces with Memcached and it would probably...
php,install,memcached,syntax-error
Aha! Your issue is not with your installation of memcached. Keep in mind that memcache and memcached are two different caching mechanisms. You'll want to make sure that your server has memcache or apc installed for WURFL to be able to cache properly. ...
python,django,caching,memcached
When you set a particular cache key and the item you are setting is larger than the size allotted for a cached item, it fails silently and your key gets set to None. (I know this because I have been bitten by it.) Memcached uses pickle to cache objects, so...
python,memcached,gmail-api,httplib2
The cache is working fine. The first request however is likely the only request that sends cache headers that allow caching. These log lines: <27 get :1:https://www.googleapis.com/discovery/v1/apis/gmail/v1/rest >27 sending key :1:https://www.googleapis.com/discovery/v1/apis/gmail/v1/rest indicate that the cache is working fine. This request does support caching, as this page sends the header Cache-Control:...
php,zend-framework,memcached,zend-session,libmemcached
I found a solution to manage sessions for sub domains. What I did is I placed below three lines in .htaccess file to manage sessions on Memcache rather than files based sessions. That means no need to make changes in php.ini file. Memcache option php_value session.cookie_domain "{your_domain}" php_value session.save_handler "memcache"...
Unlike what you've been told in the comments, the unserialized value of a serialized boolean TRUE is still true. It seems the problem is not your memcache but your check. Try checking weather your variable is === true rather than printing it out and you'll see. Here's some example code...
From the documentation: Each MemcachedClient instance establishes and maintains a single connection to each server in your cluster. There is only one thread for all processing. Regardless of the number of requests, threads using the client, or servers to which the client is connected, only one thread will ever be...
Regarding the error for the <cache name="memcached"> section , most likely you have not defined any section inside your configuration file with that name. At least there is no section like that coming from CacheManager nor from enyim. Then regarding the memcached handle. The name of the handle must match...
There are two different extensions for using memcache in php: memcache and memcached. Most likely you installed the wrong extension. Just install the other one as well and all should be fine.