Map<String,Object>. Map keys are column names, while map values are the values in those columns. Map keys are converted to lowercase by default.
- See Also:
()Constructs a new MapMapper and delegates case control to MapMappers.
(boolean toLowerCase)Constructs a new MapMapper
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
MapMapperpublic MapMapper()Constructs a new MapMapper and delegates case control to MapMappers.
MapMapperpublic MapMapper(boolean toLowerCase)Constructs a new MapMapper
toLowerCase- if true, column names are converted to lowercase in the mapped
Map. If false, nothing is done. Use the other constructor to delegate case control to MapMappers instead.
mapDescription copied from interface:
RowMapperMap the current row of the result set. This method should not cause the result set to advance; allow Jdbi to do that, please.
specializepublic RowMapper<Map<String,Object>> specialize(ResultSet rs, StatementContext ctx) throws SQLExceptionDescription copied from interface:
RowMapperReturns a specialized row mapper, optimized for the given result set.
Before mapping the result set from a SQL statement; Jdbi will first call this method to obtain a specialized instance. The returned mapper will then be used to map the result set rows, and discarded.
Implementing this method is optional; the default implementation returns
this. Implementors might choose to override this method to improve performance, e.g. by matching up column names to properties once for the entire result set, rather than repeating the process for every row.
- Specified by:
rs- the result set to specialize over
ctx- the statement context to specialize over
- a row mapper equivalent to this one, possibly specialized.
SQLException- if anything goes wrong go ahead and let this percolate; Jdbi will handle it
- See Also:
for an example of specialization.