When the cache is enabled for a Custom Column, the Database Cache creates new Database Columns that match their respective PokerTracker 4 Columns. This allows multiple stats to use the same building blocks, but these blocks aren't necessarily stored in the database. Stats are PokerTracker 4 “objects” that do not exist in the database, instead Stats are also composed of PokerTracker 4 Columns. Database columns are part of the database itself, this type of column is only created once a stat has become Cached.ĭatabases are composed of tables, these tables are then composed of database columns, this is very similar to a spreadsheet as we explained earlier in this guide. PokerTracker 4 Columns can be found within the Columns page in the Statistics Configuration window. PokerTracker 4 columns can exist separately from Database Columns. Most cached stats are calculated by taking the database column that represents the count of an Action taken, divided by the database column that represents the total number of opportunities for this action.Ĭustom Stat designers use the term “Column” for two separate yet related purposes. An uncached stat will adversely affect the loading times required to generate a report or graph.Ī stat is a mathematical calculation of data acquired from PokerTracker 4 columns. T he HUD can load cached and uncached stats separately, but reports and graphs are not loaded in separate stages.
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If a stat uses columns that are uncached then the HUD updates for that stat will be delayed as new hands are imported this is because u ncached database queries are managed separately from cached queries.Īn uncached column in PokerTracker 4 will be calculated on the fly which will delay the display and update of that stat in the HUD, but the rest of the cached HUD values will appear separately as soon as they're available. In PokerTracker 4 the Database Cache is used to improve the speed of the reports and graphs, but the benefits of the Cache is most obvious to users of the HUD. To solve this speed problem, database designers typically use a Cache of pre-calculated results and temporary storage points to assure a fast response from the database server the alternative would be to have the database server calculate the results of multiple tables on demand which would require excessive review of every data point within the database query and sub-par performance.
The more data that is stored in each table, the longer it will take to calculate the data contained within the tables.
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If you are not familiar with how a database stores information, it is easy to understand if you visualize a series of spreadsheet tables that are tied together using multiple reference points.
A Database Cache is a table of pre-calculated information used to improve database performance, the cache accomplishes this job by storing and retrieving calculated data within a high-performance repository.
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