mvl_extent_index_lapply | R Documentation |
Please use generic function mvl_index_lapply()
instead.
mvl_extent_index_lapply(extent_index, data_list, fn)
extent_index |
MVL_OBJECT computed by |
data_list |
a list of vectors of equal length. They can be MVL_OBJECTs or R vectors. If missing, scan the entire table one hash at a time. |
fn |
a function of two arguments - and index into |
This function is passed the index computed by mvl_write_extent_index()
and a list of vectors, which rows are used to compute 64-bit hashes.
For each row, we call the function fn(i, idx)
, where i
gives the index of query row, and idx
gives the indices of with matching hashes.
64-bit hashes have very few collisions, nevertheless the user is advised to double check that the values actually match.
The hash computation is type dependent, so 1
stored as an integer will produce a different hash than when stored as floating point. This function accounts for this by internally converting to types the index was generated with.
a list of results of function fn
mvl_index_lapply
, mvl_group
## Not run:
Mtmp<-mvl_open("tmp_a.mvl", append=TRUE, create=TRUE)
mvl_write_object(Mtmp, data.frame(x=runif(100), y=(1:100) %% 10), "df1")
Mtmp<-mvl_remap(Mtmp)
mvl_write_extent_index(Mtmp, list(Mtmp$df1[,"y",ref=TRUE]), "df1_extent_index_y")
Mtmp<-mvl_remap(Mtmp)
mvl_extent_index_lapply(Mtmp["df1_extent_index_y", ref=TRUE], list(c(2, 3)),
function(i, idx) { return(list(i, idx))})
# Example of full scan
mvl_extent_index_lapply(Mtmp["df1_extent_index_y", ref=TRUE], ,
function(i, idx) { return(list(i, idx))})
## End(Not run)
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