I know the KEYS command, but that only returns the keys (I’m guessing all of the keys with type String), and apparently sets aren’t considered keys. KEYS command return results no matter what data type are your keys, since it searches key names. At the lowest level of abstraction each data type in redis is … Read more
Ok, googled around for a while and found help at http://java.dzone.com/articles/spring-data-redis. It happened because of Java serialization. The key serializer for redisTemplate needs to be configured to StringRedisSerializer i.e. like this: <bean id=”jedisConnectionFactory” class=”org.springframework.data.redis.connection.jedis.JedisConnectionFactory” p:host-name=”${redis.server}” p:port=”${redis.port}” p:use-pool=”true”/> <bean id=”stringRedisSerializer” class=”org.springframework.data.redis.serializer.StringRedisSerializer”/> <bean id=”redisTemplate” class=”org.springframework.data.redis.core.RedisTemplate” p:connection-factory-ref=”jedisConnectionFactory” p:keySerializer-ref=”stringRedisSerializer” p:hashKeySerializer-ref=”stringRedisSerializer” /> Now the key in redis is vc:501381. Or … Read more
This Python module for Redis has a clear usage example in the readme: http://github.com/andymccurdy/redis-py Redis is designed to be a RAM cache. It supports basic GET and SET of keys plus the storing of collections such as dictionaries. You can cache RDBMS queries by storing their output in Redis. The goal would be to speed … Read more
I would say, it depends on kind of dev team you are and your application needs. For example, if you require a lot of querying, that mostly means it would be more work for your developers to use Redis, where your data might be stored in variety of specialized data structures, customized for each type … Read more
There are dozen solutions for performing discovery service in Mesos environment. We can divide them into 3 groups by the way how client find services: Proxy based When between clients and service sits proxy e.g., HAProxy (marathon-lb is based on it), fabio, traefik, nixy) that takes care of loadbalancing your services basing on HTTP path, … Read more
Unfortunately, no. Redis’ “containers” (i.e. lists, hashes, sets and sorted sets) do not support per-member expiry, although this functionality has been requested many times in the past. You can, however, implement your own logic to achieve that result. There are several possible approaches to address this – here’s one example. Instead of using a set, … Read more
Before discussing which one is better, let’s take a look at the difference between these commands. Both DEL and UNLINK free the key part in blocking mode. And the difference is the way they free the value part. DEL always frees the value part in blocking mode. However, if the value is too large, e.g. … Read more
It means it’s a byte string You can use: redis.StrictRedis(host=”localhost”, port=6379, charset=”utf-8″, decode_responses=True) using decode_responses=True to make a unicode string.
First download the REDIS to your system (if you haven’t already installed it). Go to the folder where you have downloaded the redis and run this command: cd your-redis-folder-name make Go to your project directory and install composer: composer require predis/predis Go to your .env file and add Queue driver: QUEUE_DRIVER=redis use Mail::queue() to send … Read more
You can do it by hmset (multiple keys can be set using hmset). hmset(“RedisKey”, dictionaryToSet) import redis conn = redis.Redis(‘localhost’) user = {“Name”:”Pradeep”, “Company”:”SCTL”, “Address”:”Mumbai”, “Location”:”RCP”} conn.hmset(“pythonDict”, user) conn.hgetall(“pythonDict”) {‘Company’: ‘SCTL’, ‘Address’: ‘Mumbai’, ‘Location’: ‘RCP’, ‘Name’: ‘Pradeep’}