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jvx:reference [2020/06/15 08:47] cduncan [Notes on the Launcher] |
jvx:reference [2020/06/15 08:49] cduncan [DataRow] |
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| {{:jvx:reference:databook.png?nolink|DataBook Architecture, the DataBook contains DataPages, which contain DataRows.}} | {{:jvx:reference:databook.png?nolink|DataBook Architecture, the DataBook contains DataPages, which contain DataRows.}} | ||
| - | ===== RowDefinition ===== | + | ===== Row Definition ===== |
| - | The RowDefinition defines what columns are available in the row and stores some additional information about them, like the names of the [[https://en.wikipedia.org/wiki/Unique_key|primary key]] columns. You can think of the RowDefinition as the headers of a table. | + | The row definition defines what columns are available in the row and stores some additional information about them, like the names of the [[https://en.wikipedia.org/wiki/Unique_key|primary key]] columns. You can think of the row definition as the headers of a table. |
| - | Its creation and usage is rather simple, and if you’re working with RemoteDataBooks there is no need to create one at all, as it is automatically created when the DataBook is opened. A RowDefinition holds and manages ColumnDefinitions, which define the columns. | + | Its creation and usage is rather simple, and, if you’re working with RemoteDataBooks there is no need to create one at all, as it is automatically created when the data book is opened. A row definition holds and manages column definitions, which define the columns. |
| <code java> | <code java> | ||
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| Most of the column definition is additional information about the column, like if it is nullable, the label of the column, default values, allowed values, and similar information. | Most of the column definition is additional information about the column, like if it is nullable, the label of the column, default values, allowed values, and similar information. | ||
| - | ==== DataType ==== | + | ==== Data Type ==== |
| - | Of course, we must define what type the value in the column has. This is done by setting a data type on the column definition. The data type defines what kind of values the column holds, like if it is a String, a Number, or something else. We provide the most often used data types out of the box: | + | Of course, we must define what type the value in the column has. This is done by setting a data type on the column definition. The data type defines what kind of values the column holds, like if it is a string, a number, or something else. We provide the most often used data types out of the box: |
| * BigDecimal | * BigDecimal | ||
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| It is possible to add new data types by simply implementing ''%%IDataType%%''. | It is possible to add new data types by simply implementing ''%%IDataType%%''. | ||
| - | ===== DataRow ===== | + | ===== Data Row ===== |
| The data row represents a single row of data; it holds/references its own row definition and, of course, provides access to the values of the row. Accessing the data row can be done either by column index or column name, and the methods either return or accept objects. Let’s look at a simple usage example: | The data row represents a single row of data; it holds/references its own row definition and, of course, provides access to the values of the row. Accessing the data row can be done either by column index or column name, and the methods either return or accept objects. Let’s look at a simple usage example: | ||