in-memory

I am using SQL Server 2014 CTP2, with READ_COMMITTED_SNAPSHOT ON (I think it's important for the question). I have create an In-Memory table type (very similar to the example the technet blog, SQL Server 2014 In Memory OLTP: Memory-Optimized Table Types and Table Variables ), and I have several In-Memory tables. In the query itself I have a join between the regular In-Memory tables and the In-Memory table type, acting as a filter, when I execute the query I get this error message: "A query that accesses memory optimized tables using the READ COMMITTED isolation level, cannot access disk based

I'm on a system with no access to disk. My C program has in memory the contents of a valid, small, sqlite3 file (received over the network). I would like to use sqlite3's C API to open and access this file (read-only is fine). How do I do this? I know I can create an empty in-memory database with sqlite3_open(":memory:", &foo) but is there any way to open my existing db? I don't have the privileges to create a ram disk, but perhaps something along those lines? Thanks. Code example here (in C): http://www.mail-archive.com/sqlite-users@sqlite.org/msg15929.html 来源： https://stackoverflow.com

I have a big data.frame that I want to write into a compressed CSV file. Is there any way to directly write the data into a CSV.TAR.GZ compressed file instead of performing write.csv/gzip steps in order to reduce DISK access? Thanks. Use gzfile (or bzfile for bzip2 archiving, or xzfile for xz archiving). z <- gzfile("mtcars.csv.gz") write.csv(mtcars, z) PS. If you only have one data frame, surely you don't need tar. 来源： https://stackoverflow.com/questions/17492409/how-to-directly-perform-write-csv-in-r-into-tar-gz-format

I made a database through sqlite in c++. The db has been created in memory (using the ":memory:" parameter insted of a filename), in order to have a very quick behavior. The database is created by the following lines: sqlite3* mem_database; if((SQLITE_OK == sqlite3_open(":memory:", &mem_database)){ // The db has been correctly created and // I can do some stuff with it. } sqlite3_close(mem_database); My problem is: how can I write the in-memory database to disk? (through c/c++ of course). I read something about the ATTACH and DETACH sqlite commands, but I can get them working only with the

I have a small project that would be perfect for Google App Engine. Implementing it hinges on the ability to generate a ZIP file and return it. Due to the distributed nature of App Engine, from what I can tell, the ZIP file couldn't be created "in-memory" in the traditional sense. It would basically have to be generated and and sent in a single request/response cycle. Does the Python zip module even exist in the App Engine environment? zipfile is available at appengine and reworked example follows: from contextlib import closing from zipfile import ZipFile, ZIP_DEFLATED from google.appengine