from_json {SparkR} | R Documentation |
Parses a column containing a JSON string into a Column of structType
with the specified
schema
or array of structType
if as.json.array
is set to TRUE
.
If the string is unparseable, the Column will contains the value NA.
## S4 method for signature 'Column,structType' from_json(x, schema, as.json.array = FALSE, ...) from_json(x, schema, ...)
x |
Column containing the JSON string. |
schema |
a structType object to use as the schema to use when parsing the JSON string. |
as.json.array |
indicating if input string is JSON array of objects or a single object. |
... |
additional named properties to control how the json is parsed, accepts the same options as the JSON data source. |
from_json since 2.2.0
Other normal_funcs: Column-class
,
column
, column
,
column
,
column,character-method
,
column,jobj-method
; abs
,
abs,Column-method
;
bitwiseNOT
, bitwiseNOT
,
bitwiseNOT,Column-method
;
coalesce
, coalesce
,
coalesce
,
coalesce,Column-method
,
coalesce,SparkDataFrame-method
;
expr
, expr
,
expr,character-method
;
greatest
, greatest
,
greatest,Column-method
;
ifelse
, ifelse,Column-method
;
is.nan
, is.nan,Column-method
,
isnan
, isnan
,
isnan,Column-method
; least
,
least
, least,Column-method
;
lit
, lit
,
lit,ANY-method
; nanvl
,
nanvl
, nanvl,Column-method
;
negate
, negate
,
negate,Column-method
; randn
,
randn
, randn
,
randn,missing-method
,
randn,numeric-method
; rand
,
rand
, rand
,
rand,missing-method
,
rand,numeric-method
; struct
,
struct
,
struct,characterOrColumn-method
;
to_json
, to_json
,
to_json,Column-method
; when
,
when
, when,Column-method
## Not run:
##D schema <- structType(structField("name", "string"),
##D select(df, from_json(df$value, schema, dateFormat = "dd/MM/yyyy"))
## End(Not run)