cache-redis | Framework agnostic PSR-16 SimpleCache Redis adapter | Caching library
kandi X-RAY | cache-redis Summary
kandi X-RAY | cache-redis Summary
Framework agnostic PSR-16 SimpleCache Redis adapter.
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Top functions reviewed by kandi - BETA
- Set multiple items .
- Check keys validity .
- Set an item in the cache
- Delete multiple items .
- Get multiple values .
- Get a value .
- Checks if the given key exists .
- Increment a numeric key
- Decrement a key
- Delete a key
cache-redis Key Features
cache-redis Examples and Code Snippets
Lines of Code : 9
License : No License
Copyrequire_once '/path/to/composer/vendor/autoload.php';
$rConfig = ['host'=> "127.0.0.1"];
$handler = new Redis();
$handler->connect(
$rConfig['host']
);
$cache = new Soupmix\Cache\RedisCache($handler);
$ composer require soupmix/cache-redis "~0.3"
Community Discussions
Trending Discussions on cache-redis
QUESTION
I use the module, https://github.com/cloudposse/terraform-aws-elasticache-redis to provision elasticache redis. Below are the errors when I run terraform apply. I have no clue of these errors.
Terraform version: v0.13.5
module.redis.aws_elasticache_parameter_group.default[0]: Creating...
module.redis.aws_elasticache_subnet_group.default[0]: Creating...
Error: Error creating CacheSubnetGroup: InvalidParameterValue: The parameter CacheSubnetGroupName must be provided and must not be blank. status code: 400, request id: a1ab57b1-fa23-491c-aa7b-a2d3804014c9
Error: Error creating Cache Parameter Group: InvalidParameterValue: The parameter CacheParameterGroupName must be provided and must not be blank. status code: 400, request id: 9abc80b6-bd3b-46fd-8b9e-9bf14d1913eb
...ANSWER
Answered 2020-Dec-07 at 15:19You need to provide module input which can be found on the link you provided.
For instance :
Error: Error creating CacheSubnetGroup: InvalidParameterValue: The parameter CacheSubnetGroupName must be provided and must not be blank. status code: 400, request id: a1ab57b1-fa23-491c-aa7b-a2d3804014c9
In this case, you need to set elasticache_subnet_group_name, and so on:
QUESTION
I have an Apollo GraphQL server using the apollo-server-plugin-response-cache plugin and I need to determine whether or not I'm going to write to the cache based on incoming parameters. I have the plugin set up and I'm using the shouldWriteToCache hook. I can print out the GraphQLRequestContext object that gets passed into the hook, and I can see the full request source, but request.variables is empty. Other than parsing the query itself, how can I access the actual params for the resolver in this hook? (In the example below, I need the value of param2.)
Apollo Server:
...ANSWER
Answered 2020-Oct-30 at 04:03If you didn't provide
variablesfor GraphQL query, you could get the arguments from the GraphQL query string via ArgumentNode of ASTIf you provide
variablesfor GraphQL query, you will get them fromrequestContext.request.variables.
E.g.
server.js:
QUESTION
I'm trying to find some high-level performance numbers on AWS Elasticache-Redis vs DynamoDB for an application which needs heavy-reads on data and fairly heavy-writes too. My idea is to store temporary data during a session in Elasticache and dump the data to DynamoDB (or any other persistent store) at the end of the session.
I want to understand how different would the speed of reads/writes be if I directly read/write data from DynamoDb instead of in-memory store, considring DynamoDb has really high performance numbers. But it would be great if anybody has any rough numbers on each of these data store latencies for both read/write :) Thanks!
...ANSWER
Answered 2020-May-04 at 00:36Elasticache
The latency for a call to ElastiCache can be 300-500 microseconds (source).
DynamoDB
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale (source).
On the client side, these latencies are (of course) sensitive to the size of your data and your network connection.
To get more specific numbers, you should run your own experiment using your particular data and infrastructure.
QUESTION
I have following scenario, others may have different. How should we decide between Redis as persistent primary database and Elastic Search. In a micro-service, database has lots of read requests, in comparison to write request. Also my data will have only 8-10 columns or keys in terms of JSON (Simple data structure).
If my database hardly gets write request in respect to read request, why should we not use Redis as persistent Database. I went through Redis Office document and found why should we use it as persistent database [Goodbye Cache: Redis as a Primary Database]
But still not convinced fully to use it as a Primary Database
...ANSWER
Answered 2020-Mar-18 at 07:41The answer would depend on your application and what it does internally. But assuming you don't need particularly complicated queries to get the data (no complex filtering, for example) and you can fit all your information in memory, I see Redis as a completely valid alternative to a traditional database.
If you want the strongest possible guarantees Redis can offer, you'd want to enable both RDB and AOF persistence options (read https://redis.io/topics/persistence).
The big advantage of a set-up like this is you can trust Redis to improve the throughput of the application, and maintain a very good level of performance over time, even with a growing dataset.
QUESTION
I'm new to Docker, and I've wanted try Dockerizing my node app.
I've tried following the directions on nodejs.org, but I've been getting errors on npm install.
Here is my Dockerfile:
...ANSWER
Answered 2020-Feb-10 at 12:43I used to get this error due to low or intermittent internet bandwidth.
QUESTION
The docs (https://www.apollographql.com/docs/apollo-server/features/data-sources.html#Using-Memcached-Redis-as-a-cache-storage-backend) show code like this:
...ANSWER
Answered 2018-Nov-18 at 14:34The cache passed to the ApolloServer is, to my knowledge, strictly used in the context of a RESTDataSource. When fetching resources from the REST endpoint, the server will examine the Cache-Control header on the response, and if one exists, will cache the resource appropriately. That means if the header is max-age=86400, the response will be cached with a TTL of 24 hours, and until the cache entry expires, it will be used instead of calling the same REST url.
This is different than the caching mechanism you've implemented, since your code caches the response from the database. Their intent is the same, but they work with different resources. The only way your code would effectively duplicate what ApolloServer's cache already does is if you had written a similar DataSource for a REST endpoint instead.
While both of these caches reduce the time it takes to process your GraphQL response (fetching from cache is noticeably faster than from the database), client-side caching reduces the number of requests that have to be made to your server. Most notably, the InMemoryCache lets you reuse one query across different places in your site (like different components in React) while only fetching the query once.
Because the client-side cache is normalized, it also means if a resource is already cached when fetched through one query, you can potentially avoid refetching it when it's requested with another query. For example, if you fetch a list of Users with one query and then fetch a user with another query, your client can be configured to look for the user in the cache instead of making the second query.
It's important to note that while resources cached server-side typically have a TTL, the InMemoryCache does not. Instead, it uses "fetch policies" to determine the behavior of individual queries. This lets you, for example, have a query that always fetches from the server, regardless of what's in the cache.
Hopefully that helps to illustrate that both server-side and client-side caching are useful but in very different ways.
QUESTION
I am trying to set up deepstream.io. My goal is to have a 4 docker container:
- deepstream
- the deepstream search
- redis
- rethink
Redis as well as rethink are running and are accepting connections. Starting deepstream now states that the cache as well as the storage are not ready. I do not get why and what "dependency description provided" is supposed to tell me.
Why does deepstream not accept the connection?
...ANSWER
Answered 2017-Nov-20 at 08:58The message no dependency description provided just means that under the hood, the connector has no description property.
I'd recommend trying to set some data via a deepstream client and see if it is written to the database.
QUESTION
I have a cloudformation template:
...ANSWER
Answered 2017-Nov-02 at 13:49You've placed the Lambda function in the public subnets. A Lambda function inside a VPC has to use a NAT Gateway to access the Internet (and anything else outside the VPC, like the AWS API). The NAT Gateway is attached to the private subnets. You need to change your configuration to deploy the Lambda function into the private subnets.
Alternatively, if your Lambda function doesn't actually need to access anything in the VPC then you can leave it out of the VPC and it will have Internet access. Adding a Lambda function to a VPC makes cold-starts slower and gives no benefit unless you actually need it to access VPC resources.
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