If the DataBlade module that you are using provides a function that returns a numeric spatial key given an object of the data type that is being indexed, you can use this function to create a statically clustered table according to a functional B-tree index. Then, when you create an R-tree index on the resulting clustered table, the R-tree secondary access method does not need to sort the data as it builds an index from the bottom up, because the table is already sorted according to the same criterion that the R-tree bottom-up build would use.
For this procedure, assume this function is called SpatKey().
CREATE CLUSTER INDEX btree_func_index on table1 (SpatKey(column1));
btree_func_index is the name of the clustered functional B-tree index, table1 is the name of the table, and column1 is the name of the column that contains the spatial data.
CREATE INDEX rtree_index ON table1 (column1 my_ops) USING RTREE (NO_SORT = 'YES');
In the example, rtree_index is the name of the R-tree index and my_ops is the name of the operator class associated with the data type of column column1.
DROP INDEX btree_func_index;