Start Bulk updating gem source index hangs

Bulk updating gem source index hangs

This is the fastest approach but it means that the driver has to cache all results if another request needs to be made before all rows have been processed.

Caching the meta data will reduce the processing overhead when reusing statements that return small result sets that have many columns but may lead to unexpected errors if the database schema changes after the statement has been prepared. Only applicable to SQL Server (there is no prepare SQL=3 mode for Sybase). If present and the user name and password are provided, j TDS uses Windows (NTLM) authentication instead of the usual SQL Server authentication (i.e.

(The j CIFS library will always be used with named pipes when the operating system is not Windows.) Useful when connecting via named pipes to a server that is located in a different domain than the client. Actually we do have benchmark results from two different benchmarks, both developed by large commercial SQL Server JDBC driver vendors to demonstrate the performance of their own drivers.

See also use experimental true distributed transaction support. ^ top ^ j TDS is supposed to be the fastest JDBC driver around. In our oppinion this is better than having a benchmark of our own, which could be designed in such a way as to give j TDS the edge.

This is useful in case you are updating or inserting into tables that have triggers (such as replicated tables); there's no way to make the difference between an update count returned by a trigger and the actual update count but the actual update count is always the last as the triggers execute first.