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It becomes maddening trying to keep up with each new cell phone handset and its particular hardware specifications, while also watching out for hybrid devices like the Nokia N-Gage Just like in game development for other platforms, game developers want to build games that will run on game platforms that are widely and commonly available This factor, among other reasons, is why so many game developers focus on development for the PlayStation 2 there are many millions of these game machines in homes around the world I m going to focus on J2ME-based game content developed for the various cell phones, although there are similarities in approach if you re developing a BREWbased game or a game for the N-Gage Let s take a quick look at some of the relevant development considerations: Limited processing power in phone handsets Currently, many of the J2MEcompliant cell phone handsets offer very limited processing power The phone hardware simply is not capable of handling complex processor tasks, and this fact alone places drastic limits on the type of games a developer can build The processors inside the phones have gotten more powerful with each successive phone release, but they still fall far short of being able to handle very complicated gaming applications Limited physical screen sizes Cell phone handsets all have tiny view screens The view screens have gotten larger over time, but they are still very small Even worse for developers, there are no standard screen sizes, so the physical screen size for your game application depends on exactly which model of phone you are developing for This can lead to portability issues

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This table-valued DMF provides physical information about each index and partition in a table. For each b-tree level, IN_ROW_DATA allocation unit, LOB_DATA allocation unit and ROW_OVERFLOW_DATA allocation unit in each partition, a row is returned that includes the index and allocation unit type, fragment counts and sizes, average fragmentation percentage, page count, and row count. I use this view to obtain a picture of indexes that are candidates for rebuilding or reorganizing. This is slightly better than an educated guess, less work than running DBCC SHOWCONTIG over and over again, and much better than blindly running maintenance against all indexes on a fixed schedule. I have used various adaptations of Ola Hallengren s index optimization scripts. They are located here, and are definitely worth some investigation: http:/ / ola.hallengren.com/. When composing this topic, I was asked the question, why is this DMF better than using DBCC SHOWCONTIG, given that they produce the same results Well, for one, it is easier to apply a WHERE clause to the DMV, to limit the output to a set of tables without having to make multiple calls (or parse the verbose output to find the tables of interest). I can also use the DMV in a query that includes other tables or views. I can easily join against, say, sys.dm_db_partition_stats to get the row counts, and sys.indexes to get the index name and other details. The query in listing 1 demonstrates this.

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SELECT TOP 10 [object_name] = OBJECT_NAME(s.[object_id]), index_name = i.name, i.is_primary_key, i.is_unique_constraint, s.partition_number, s.index_type_desc, s.alloc_unit_type_desc, s.avg_fragmentation_in_percent, s.page_count, p.reserved_page_count, p.row_count

FROM sys.dm_db_index_physical_stats ( DB_ID(), NULL, NULL, NULL, NULL ) AS s INNER JOIN sys.dm_db_partition_stats AS p ON s.[object_id] = p.[object_id] AND s.partition_number = p.partition_number AND s.index_id = p.index_id INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id] AND s.index_id = i.index_id WHERE OBJECT_NAME(s.[object_id]) LIKE 'pattern%' ORDER BY OBJECT_NAME(s.[object_id]), s.index_id;

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