| infer_esri_type | R Documentation |
Infers Esri field types from R objects.
infer_esri_type(
.data,
arg = rlang::caller_arg(.data),
call = rlang::caller_env()
)
get_ptype(field_type, n = 1, call = rlang::caller_env())
ptype_tbl(fields, n = 0, call = rlang::caller_env())
remote_ptype_tbl(fields, call = rlang::caller_env())
.data |
an object of class |
arg |
An argument name in the current function. |
call |
The execution environment of a currently running
function, e.g. You only need to supply Can also be For more information about error calls, see Including function calls in error messages. |
field_type |
a character of a desired Esri field type. See details for more. |
n |
the number of rows to create in the prototype table |
fields |
a data.frame containing, at least, the columns |
get_ptype() takes a scalar character containing the Esri field type and returns a prototype of the pertinent R type
infer_esri_type() takes a data frame-like object and infers the Esri field type from it.
remote_ptype_tbl() takes a data frame of fields as derived from list_fields() and
creates a lazy table proto type intended to be used with dbplyr integration
Esri field types are mapped as
esriFieldTypeSmallInteger: integer
esriFieldTypeSingle: double
esriFieldTypeGUID: integer
esriFieldTypeOID: integer
esriFieldTypeInteger: integer
esriFieldTypeBigInteger: double
esriFieldTypeDouble: double
esriFieldTypeString: character
esriFieldTypeDate: date
R types are mapped as
double: esriFieldTypeDouble
integer: esriFieldTypeInteger
character: esriFieldTypeString
date: esriFieldTypeDate
raw: esriFieldTypeBlob
get_pytpe() returns an object of the class of the prototype.
ptype_tbl() takes a data.frame with columns name and type and creates an empty data.frame with the corresponding columns and R types
remote_ptype_tbl() provides the results of ptype_tbl() as a lazy data frame from the dbplyr package.
infer_esri_ptype() returns a data.frame with columns name, type, alias, nullable, and editable columns
This resembles that of the fields returned by a FeatureService
get_ptype("esriFieldTypeDouble")
inferred <- infer_esri_type(iris)
ptype_tbl(inferred)
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