Re: [sqlite] Win 64 SQLLite 90 - badimageformatexception

2015-01-13 Thread Taylor, Jill (RBI-US)
Ok, I have a solution sort of. We installed sqllite .94 in assemble of the machine. Using the command prompt we manually copied the interop dll into the same assemble directory. If you don't, we would get the missing interop dll message. Then we went into the exe and dll and changed the tar

[sqlite] [ANN] football.db - Public Domain SQLite Database Schema and Data (e.g. Premier League, World Cup, etc.)

2015-01-13 Thread Gerald Bauer
Hello, FYI: First a big thanks to the wonder of SQLite. May I introduce football.db - a free open public domain football data project that offers its datasets as SQLite files, thus, the project name football.db (it's the actual single-all-in-one SQLite file/database that inspired it). Y

[sqlite] ANN: SQLite Maestro 15.1 released

2015-01-13 Thread SQL Maestro Group
Hi! SQL Maestro Group announces the release of SQLite Maestro 15.1, a complete Windows GUI solution for SQLite database management. The new version is immediately available at http://www.sqlmaestro.com/products/sqlite/maestro/ Top new features = 1. Support for user authentica

Re: [sqlite] help with query

2015-01-13 Thread Keith Medcalf
A correlated subquery: select * from t where (select count(*) from t as b where b.data1 = t.data1) >= 3; or with a subselected set of valid rows: select * from t where data1 in (select data1 from t as b group by data1 h

Re: [sqlite] help with query

2015-01-13 Thread Hajo Locke
Hello, thanks a lot. Works like a charm! I should really do more sql. Thanks, Hajo Am 13.01.2015 um 09:03 schrieb Hick Gunter: Step 1: count the occurrences: SELECT data1,count() AS count FROM table GROUP BY data1; Step 2: get the rows with a count above the limit SELECT data1,count() AS

Re: [sqlite] help with query

2015-01-13 Thread Hick Gunter
Step 1: count the occurrences: SELECT data1,count() AS count FROM table GROUP BY data1; Step 2: get the rows with a count above the limit SELECT data1,count() AS count FROM table GROUP BY data1 HAVING count >= 3; Step 3: get the keys from the rows SELECT data1 FROM (SELECT data1,count() AS cou