![]() ![]() For storing around 100 million rows of around 90 byes each, what do you expect the best case insertion rate to be? I'm trying to set my own expectations of what we can achieve with our current approach.Why does memcpy() hog so much of the CPU when we're only storing around ~1.5MB/sec? Is this normal?.97% of the time is spent in sqlite3BtreeMovetoUnpacked(). I see that around 75% of the time is spent in memcpy_repmovs(). We compile sqlite with SQLITE_WIN32_MALLOC and SQLITE_WIN32_HEAP_CREATE. My machine is on Azure with 12 cores and has 128 GB of RAM. Currently it takes around 90 minutes which means the insertion rate is ~18000 rows/second. The DB grows to ~9GB after it's completely populated. ![]() We need to create the DB from scratch on launch and populate 100 million rows in the table. ![]() Booth will not be fixed by removing the database, the logical issue is still there, it will come up with a other face.We have an in-memory database with a simple table(3 integers and a string, the first 3 numbers form the primary key, no other indexes at this point ). How could it be that a db level got increased without apply the migration? Or other current issues the SN tries to write a data set which is already there and will break a constraint. For example i saw errors that tables were missing, the point is this should not be possible, for that are the migration scripts and db levels there. Unfortunately there are not so much links about the subject that google provides right now. (1) for applications where functionality is comparable. Removing the database will not be the solution in that case, it will only move the problem else were. SQL Server CE 4 (SQL Server Compact Edition 4.0) is not news already (If it is, you could read this article) But it is very interesting to see SQL Server CE 4 performance comparison to other databases. Some of the problems are logical problems that are caused by incorrect error handling. The database byitself is not corrupted, the data within the database has not the state which the SN expect. I fully aggree to you it is to high, but i wouldn’t call it a database corruption although it feels like that and is also called that here. Btw there is no need for concurrent access from other apps, this will mean writes can easily queued within the SN. The devs did already a lot, and the end of optimisation is not reached. To get some kind of data integrity looking is necessary. These kind of limitations are shared in all Databases, sqlite lock the hole database, other systems doing this by table or row depending of the kind of request. In fact, a properly designed (and used) SQLite database can be at least on par with an alternative database operated on the same machine (given the resource constraints are not endless). The engineers are working on solving that as soon as possible. Second, issue SQL statements to select or update data in the database. After executing the statement BEGIN TRANSACTION, the transaction is open until it is explicitly committed or rolled back. (This means, that when someone runs our binary in the near future, we dont like to force the user to have to install those additional databases, especially as it makes the operation much more complicated)īesides these requirements that just came to my mind (there are probably more), we know that the current implementation (as of right now) has problems regarding the performance. To start a transaction explicitly, you use the following steps: First, open a transaction by issuing the BEGIN TRANSACTION command. ![]() Have the ability to be used with standalone binaries besides/instead of docker and not requiring other installs like MariaDB, MongoDB, PostgreSQL and similar on your PC.Easy to migrate/move (have the ability to move the database in case of a failure prediction of the hardware its running on.Needs to be easy to install (preferable not require any user interaction).There are a few simple requirements and reasons for why we chose SQLite as the database backend for the Storagenodes. ![]()
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