- #Sqlite stored procedures allowed how to#
- #Sqlite stored procedures allowed driver#
- #Sqlite stored procedures allowed code#
For example, Oracle ODBC driver performs roughly 400-500 times faster when bulk-inserting a std::vector of 10,000 integers. In some scenarios, the gain is significant. To determine the optimal use in a given scenario, knowledge of the target system as well as some degree of experimentation is needed because different connectors and target systems shall differ in performance gains. Also, not all value types perform equally when used for bulk operations. Not all the connectors support bulk and some support it only to an extent, depending on the target system. Poco::Data::LOB (with BLOB and CLOB specializations).For all the other scenarios (other containers as well as non-POD types), framework will create temporary storage. Session, which is properly handled internallyįor best results with use(), when passing POD types, it is recommended to use std::vector as it is passed directly as supplied by the user. People.push_back(Person("Lisa Simpson", "Springfield", 10)) People.push_back(Person("Bart Simpson", "Springfield", 12))
Person person("Bart Simpson", "Springfield", 12) The detailed description is beyond the scope of this manual, but suffice it to say here that this data structure allows for convenient and type-safe mix of different data types resulting in a perfect C++ match for the table row. However, in addition to STL containers, which are supported through binding/extraction there is another complex data type supported by POCO Data "out-of-the-box". Meyers book "Efective STL", Item 18 or Gotw #50, When Is a Container Not a Container paragraph.Ĭomplex user-defined data types are supported through type handlers as described in one of the chapters below. For those interested to learn more about it, there is an excellent explanation in S. The details are beyond the scope of this manual. Poco::Data::SQLite::Connector::registerConnector()
#Sqlite stored procedures allowed how to#
The following complete example shows how to use POCO Data: The intent behind the Poco::Data framework is to produce the integration between C++ and relational databses in a simple and natural way. Framework is opened for extension, so additional native connectors (Oracle, Db2. Currently supported database connectors are SQLite, MySQL/MariaDB, PostgreSQL and ODBC (which covers SQL Server and other databases). var myString= db.CreateCommand(" select SqlColumn from tablewithsqlcommands where Procname=theprocedureIwant").ExecuteScalar() ) and then execute it in the second step ( var myResult= db.CreateCommand(myString).POCO Data is POCO's database abstraction layer which allows users to easily send/retrieve data to/from various databases.
#Sqlite stored procedures allowed code#
If you really want to store SQL code in the DB (such as when you want to develop cross-platform apps), you can create a specific table that will store raw SQL commands that do the thing, then in the client you obtain the SQL command (e.g. I've done this in C# using DevArt's SQLite to implement password hashing. You can however extend SQLite with your own user defined functions in the host language (PHP, Python, Perl, C#, Javascript, Ruby etc). Given that it run as a DLL in your current process it makes more sense to implement SP in the client language. This makes sense for database engines designed to work as a network connected service but the imperative for SQLite is much less. Solution 2Ī key reason for having stored procs in a database is that you're executing SP code in the same process as the SQL engine. See Appropriate Uses For SQLite on the main site.
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