in-memory-database

问题 SQL Server 2014 has a new feature called In Memory OLTP and it could store tables in memory. Temp table could do the similar thing by caching the temp table in memory. So, is there any difference? and How about the performance of these two ways? 回答1: There is so much difference between in memory OLTP and the contents of a temp table being stored in memory, that no succinct answer would really do it justice. They're apples and oranges. Additionally, the benefits of in-memory OLTP versus any

问题 So I have a in-memory database and I'm trying to insert data into the table and it's not working. Am I doing something wrong? var connection = new SQLiteConnection("DataSource=:memory:;Version=3;New=True;"); connection.Open(); string sql = "CREATE TABLE recently_viewed(movieid INTEGER,picture TEXT)"; SQLiteCommand command = new SQLiteCommand(sql, connection); command.ExecuteNonQuery(); using ( command = connection.CreateCommand()) { command.CommandText = "INSERT into recently_viewed(movieid

问题 tl;dr: clone the project: https://github.com/Jasperav/CoreDataInMemoryFail Run the test and see it fail. Why does my in memory container not have any data and how can I make sure it will have data? Long: I have a sqlite file with filled data and I have an in-memory database in CoreData. Some code: // ... func createInMemoryPerformanceTestDatabase() -> NSPersistentContainer { let url = createPathToSomeSQLiteFile() let container = NSPersistentContainer(name: dataModelName, managedObjectModel:

问题 T-tree algorithm is described in this paper And T*-Tree is an improvement from T-tree for better use of query operations, including range queries and which contains all other good features of T-tree. This algorithm is described in this paper "T*-tree: A Main Memory Database Index Structure for Real-Time Applications". According to this research paper, T-Tree is faster than B-tree/B+tree when datasets fit in the memory. I implemented T-Tree/T*Tree as they described in these papers and compared

问题 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. 回答1: There's no way to just save the in

问题 I'm tuning Oracle 12c DB and trying to load some tables to INMEMORY partition. So, I'm altered 2 tables with CRITICAL PRIORITY . But, when I'm trying to SELECT some data from table in memory, it collects from general patition. I've got it from Autotrace. What I'm doing wrong? 回答1: The IMCO(Inmemory Coordinator) process wakes up every two minutes and checks to see if any population tasks needs to be completed. So, querying a table immediately after enabling it for inmemory doesn't ensure that

问题 I am trying out the simple person example for a read through cache. Set up basic table and here is my code that i am trying to run IgniteConfiguration cfg = new IgniteConfiguration(); cfg.setClientMode(true); cfg.setPeerClassLoadingEnabled(true); // Create store factory. CacheJdbcPojoStoreFactory storeFactory = new CacheJdbcPojoStoreFactory(); storeFactory.setDataSourceBean("dataSource"); CacheConfiguration sampleCache = CacheConfig.cache("sampleCache", storeFactory); sampleCache

问题 How could I load Neo4J into memory on demand? On different stages of my long running jobs I'm persisting nodes and relationships to Neo4J. So Neo4J should be on disk, since it may consume too much memory and I don't know when I gonna run read queries against it. But at some point (only once) I will want to run pretty heavy read query against my Neo4J server, and it have very poor performance (hours). As a solution I want to load all Neo4J to RAM for better performance. What is the best option

问题 I'm using HSQLDB version 2.2.9 for testing purposes. When I create named in memory database, files aren't deleted after calling shutdown function. On my filesystem I have folder DBname.tmp and files DBname.lck, DBname.log, DBname.properties and DBname.script. As I understand documentation (http://hsqldb.org/doc/2.0/guide/dbproperties-chapt.html#dpc_connection_url) it shouldn't happened. For testing I'm using the following code: import java.io.IOException; import org.hsqldb.Server; import org

问题 Are there are good in-memory transactional databases that support LINQ and SQL Server persistance? I'd like to create a full representation of a large data store in memory and have it commit to a SQL Server Database in a lazy fashion, but still keep some level of fault tolerance by scaling it out horizontally. I don't want to rely on non-relational datagrams like CouchDB. 回答1: SQLite supports in-memory databases has transaction support and has a Linq provider as well. As for the SQL Server