in-memory-database

I am interested in using a database that will allow high performance, with an expected requirement of cluster for a massive horizontal scaling. We are looking into using MongoDB, does anyone know if I can use it InMemory (i.e. in the RAM - for performance reasons)? Tnx SitnTheShade A performance boost approach you can take is to use a RAM disk e.g.: mongod --smallfiles --noprealloc --nojournal --dbpath <ramdisk mounted localtion> See also: http://edgystuff.tumblr.com/post/49304254688/how-to-use-mongodb-as-a-pure-in-memory-db-redis-style Create RAM Disk linux: https://unix.stackexchange.com

I am writing tests via behat for my large Laravel 5 project. I have a testing copy of my MySQL database in MySQL and a seeder for that database that shares some of the seeders of other environments. All of that works as expected. However, I tried switching to using a sqlite in-memory database because it would speed up my automated tests dramatically and because I'm running "artsian migrate:refresh ---seeder=TestDatabaseSeeder at the start of every behat scenario. The problem I'm having is that some of my seed data causes sqlite to throw a very non-descript syntax error but MySQL is completely

Let's say I already setup a in-memory core data store using this: - (NSPersistentStore *)addPersistentStoreWithType:(NSString *)storeType configuration:(NSString *)configuration URL:(NSURL *)storeURL options:(NSDictionary *)options error:(NSError **)error; and saved a lot of things to it. Now I want to save all of this store into a file. Is that possible? I tried many kind of search but it looked like no one has ever bumped into this issue before. There's no way to just save the in-memory NSPersistentStore to a file. It doesn't conform to NSCoding or provide any methods of its own that would

I'm following the famous Angular tutorial, Tour of Heroes, but I'm struggling with one step. On the sixth course, HTTP , we are using a tool made to mimick API calls to an API. I think I followed all the steps, up to this point where it is stated the folliwing : Refresh the browser. The hero data should successfully load from the mock server. But I may have missed something : the http calls all give http 500 headers with the error being Object(...) is not a function . Have I missed something about creating a route ? It seems odd to me that inMemory wep API does not seem to need a route. My

The following code for H2 database with "in-memory mode" runs perfectly fine until connection is open or VM is running. But H2 db loses data when connection is closed or when VM shutdown takes place. Is there any other way to persist data across multiple startup-shutdown/online-offline cycles ? One way would be to create diskbased replica of in-memory database by tracking DDLs and DMLs issued from application and a sync process in background that checks for integrity of data on disk and memory. Diskbased DMLs might be slower + additional overhead of copying/loading disk data to memory on each

FastDB is an open-source, in-memory database that's tightly integrated with C++ (it supports a SQL-like query language where tables are classes and rows are objects). Like most IMDBs, it's meant for applications dominated by read access patterns. The algorithms and data structures are optimized for systems that read and write data entirely in main memory (RAM). It's supposed to be very fast, even compared to other in-memory databases, but I can't find any benchmarks online. I'm considering using FastDB for time-series data, in a project where 1) sub-millisecond random-access read latencies,