BigMemory
Extracts data from a BigMemory cache.
To use the BigMemory source operator, you have to configure a BigMemory connection in
Business Analytics in advance, see
BigMemory connection in Presto.
The following parameters are available.
Parameters | Description |
Cache alias | List of available cache managers |
Refresh rate (  ) | Specifies the time until the source file is read in again. Default value is 30 sec. |
RAQL query | Input field to enter any RAQL statement. See example BigMemory data source below. Preset query: SELECT * FROM. |
Insert parameter (  ) | Inserts user defined input parameters at cursor position. The button is only clickable if at least one user input parameter, e.g. Text user input, has already been inserted in the feed definition. |
Parameter options (  ) | Enables you to set input parameter options |
Configure columns | Configures the columns list. Unselect a column for excluding it from the result data. Entering a New name for a column will cause that to be used instead of the original column name in the result. Clicking Reset columns will reload the column list from the data source and undo all changes in the list. |
Example: BigMemory data source
To use the RAQL source operator, you have to configure a BigMemory connection in
Business Analytics in advance, see
BigMemory connection in Presto.
To use the RAQL BigMemory operator you have to follow these conventions. The
Cache alias pattern is <configuration name>.<cache name>. <cache name>. <configuration name> is the
Title you specified as name for the configuration, <cache name> is one of the caches available in the configuration. In this example, the
Cache alias is "my_caches.data_cache".
In the statement field, you can enter the RAQL statement. If you refer to a cache within the configuration, you just specify the cache name (i. e. without the configuration name). In the above example, if you wanted to address the "data_cache" cache, you would formulate your RAQL statement similar to this:
SELECT description FROM data_cache
