| first {SparkR} | R Documentation |
Return the first row of a DataFrame
Aggregate function: returns the first value in a group.
## S4 method for signature 'DataFrame' first(x) ## S4 method for signature 'Column' first(x)
x |
A SparkSQL DataFrame |
Other DataFrame functions: $,
$<-, select,
select,
select,DataFrame,Column-method,
select,DataFrame,list-method,
selectExpr; DataFrame-class,
dataFrame, groupedData;
[, [, [[,
subset; agg,
agg,
count,GroupedData-method,
summarize, summarize;
arrange, arrange,
arrange, orderBy,
orderBy; as.data.frame,
as.data.frame,DataFrame-method;
attach,
attach,DataFrame-method;
cache; collect;
colnames, colnames,
colnames<-, colnames<-,
columns, names,
names<-; coltypes,
coltypes, coltypes<-,
coltypes<-; columns,
dtypes, printSchema,
schema, schema;
count, nrow;
describe, describe,
describe, summary,
summary,
summary,PipelineModel-method;
dim; distinct,
unique; dropna,
dropna, fillna,
fillna, na.omit,
na.omit; dtypes;
except, except;
explain, explain;
filter, filter,
where, where;
groupBy, groupBy,
group_by, group_by;
head; insertInto,
insertInto; intersect,
intersect; isLocal,
isLocal; join;
limit, limit;
merge, merge;
mutate, mutate,
transform, transform;
ncol; persist;
printSchema; rbind,
rbind, unionAll,
unionAll; registerTempTable,
registerTempTable; rename,
rename, withColumnRenamed,
withColumnRenamed;
repartition; sample,
sample, sample_frac,
sample_frac;
saveAsParquetFile,
saveAsParquetFile,
write.parquet, write.parquet;
saveAsTable, saveAsTable;
saveDF, saveDF,
write.df, write.df,
write.df; selectExpr;
showDF, showDF;
show, show,
show,GroupedData-method; str;
take; unpersist;
withColumn, withColumn;
write.json, write.json;
write.text, write.text
Other agg_funcs: agg,
summarize;
approxCountDistinct,
approxCountDistinct,
approxCountDistinct; avg,
avg; countDistinct,
countDistinct, n_distinct,
n_distinct; count,
n, n; kurtosis,
kurtosis; last,
last; max;
mean; min; sd,
sd, stddev,
stddev; skewness,
skewness; stddev_pop,
stddev_pop; stddev_samp,
stddev_samp; sumDistinct,
sumDistinct; sum;
var_pop, var_pop;
var_samp, var_samp;
var, var,
variance, variance
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D first(df)
## End(Not run)
## Not run: first(df$c)