Redis

问题 I'm trying to SET a struct into Redis with hiredis: struct StatLite { uid_t uid; gid_t gid; mode_t mode; } bool RedisPermissionHandler::Set(std::string path, StatLite stat) { redisReply *reply = (redisReply*)redisCommand(this->redis, "SET %b %b", path.c_str(), (size_t)path.length(), stat, (size_t)sizeof(stat)); freeReplyObject(reply); return true; } However this runs into a segmentation fault somewhere inside hiredis. this->redis , path , and stat have proper values. GET commands work and

问题 sudo /etc/init.d/redis-server start sudo service redis-server start sudo systemctl start redis-server sudo redis-server --daemonize yes 回答1: The last one is "nearest to the metal" , it directly starts the Redis server process with no special options, and is "stand-alone" . I would use this type of command when just "messing around" in the Terminal with quick tests and when trying to get an initial configuration tested and running. The first 3 are all basically wrappers around starting the

问题 django views.py import redis import jwt from access import utils import os redis_url = os.environ['REDIS_URI'] R = redis.StrictRedis(redis_url) def set(request): R.set('foo', 'bar') return JsonResponse({"code":200,"msg":"success"}) docker-compose version: "3" services: rango: container_name: rango build: ./ command: python backend/manage.py runserver 0.0.0.0:8000 # command: npm start --prefix frontend/rango-frontend/ working_dir: /usr/src/rango environment: REDIS_URI: redis://redis_db:6379

问题 django views.py import redis import jwt from access import utils import os redis_url = os.environ['REDIS_URI'] R = redis.StrictRedis(redis_url) def set(request): R.set('foo', 'bar') return JsonResponse({"code":200,"msg":"success"}) docker-compose version: "3" services: rango: container_name: rango build: ./ command: python backend/manage.py runserver 0.0.0.0:8000 # command: npm start --prefix frontend/rango-frontend/ working_dir: /usr/src/rango environment: REDIS_URI: redis://redis_db:6379

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am