| to_json {SparkR} | R Documentation |
Converts a column containing a structType or array of structType into a Column
of JSON string. Resolving the Column can fail if an unsupported type is encountered.
## S4 method for signature 'Column' to_json(x, ...) to_json(x, ...)
x |
Column containing the struct or array of the structs |
... |
additional named properties to control how it is converted, accepts the same options as the JSON data source. |
to_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;
from_json, from_json,
from_json,Column,structType-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;
when, when,
when,Column-method
## Not run:
##D # Converts a struct into a JSON object
##D df <- sql("SELECT named_struct('date', cast('2000-01-01' as date)) as d")
##D select(df, to_json(df$d, dateFormat = 'dd/MM/yyyy'))
##D
##D # Converts an array of structs into a JSON array
##D df <- sql("SELECT array(named_struct('name', 'Bob'), named_struct('name', 'Alice')) as people")
##D select(df, to_json(df$people))
## End(Not run)