showDF
showDF.RdPrint the first numRows rows of a SparkDataFrame
Usage
showDF(x, ...)
# S4 method for class 'SparkDataFrame'
showDF(x, numRows = 20, truncate = TRUE, vertical = FALSE)Arguments
- x
a SparkDataFrame.
- ...
further arguments to be passed to or from other methods.
- numRows
the number of rows to print. Defaults to 20.
- truncate
whether truncate long strings. If
TRUE, strings more than 20 characters will be truncated. However, if set greater than zero, truncates strings longer thantruncatecharacters and all cells will be aligned right.- vertical
whether print output rows vertically (one line per column value).
See also
Other SparkDataFrame functions:
SparkDataFrame-class,
agg(),
alias(),
arrange(),
as.data.frame(),
attach,SparkDataFrame-method,
broadcast(),
cache(),
checkpoint(),
coalesce(),
collect(),
colnames(),
coltypes(),
createOrReplaceTempView(),
crossJoin(),
cube(),
dapply(),
dapplyCollect(),
describe(),
dim(),
distinct(),
drop(),
dropDuplicates(),
dropna(),
dtypes(),
except(),
exceptAll(),
explain(),
filter(),
first(),
gapply(),
gapplyCollect(),
getNumPartitions(),
group_by(),
head(),
hint(),
histogram(),
insertInto(),
intersect(),
intersectAll(),
isLocal(),
isStreaming(),
join(),
limit(),
localCheckpoint(),
merge(),
mutate(),
ncol(),
nrow(),
persist(),
printSchema(),
randomSplit(),
rbind(),
rename(),
repartition(),
repartitionByRange(),
rollup(),
sample(),
saveAsTable(),
schema(),
select(),
selectExpr(),
show(),
storageLevel(),
str(),
subset(),
summary(),
take(),
toJSON(),
union(),
unionAll(),
unionByName(),
unpersist(),
unpivot(),
with(),
withColumn(),
withWatermark(),
write.df(),
write.jdbc(),
write.json(),
write.orc(),
write.parquet(),
write.stream(),
write.text()
Examples
if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
showDF(df)
} # }