Print the first numRows rows of a SparkDataFrame
showDF(x, ...)# S4 method for SparkDataFrame
showDF(x, numRows = 20, truncate = TRUE, vertical = FALSE)
a SparkDataFrame.
further arguments to be passed to or from other methods.
the number of rows to print. Defaults to 20.
whether truncate long strings. If TRUE, strings more than
20 characters will be truncated. However, if set greater than zero,
truncates strings longer than truncate characters and all cells
will be aligned right.
whether print output rows vertically (one line per column value).
Other SparkDataFrame functions:
SparkDataFrame-class,
agg(),
alias(),
arrange(),
as.data.frame(),
attach,SparkDataFrame-method,
broadcast(),
cache(),
checkpoint(),
coalesce(),
collect(),
colnames(),
coltypes(),
createOrReplaceTempView(),
crossJoin(),
cube(),
dapplyCollect(),
dapply(),
describe(),
dim(),
distinct(),
dropDuplicates(),
dropna(),
drop(),
dtypes(),
exceptAll(),
except(),
explain(),
filter(),
first(),
gapplyCollect(),
gapply(),
getNumPartitions(),
group_by(),
head(),
hint(),
histogram(),
insertInto(),
intersectAll(),
intersect(),
isLocal(),
isStreaming(),
join(),
limit(),
localCheckpoint(),
merge(),
mutate(),
ncol(),
nrow(),
persist(),
printSchema(),
randomSplit(),
rbind(),
rename(),
repartitionByRange(),
repartition(),
rollup(),
sample(),
saveAsTable(),
schema(),
selectExpr(),
select(),
show(),
storageLevel(),
str(),
subset(),
summary(),
take(),
toJSON(),
unionByName(),
union(),
unpersist(),
withColumn(),
withWatermark(),
with(),
write.df(),
write.jdbc(),
write.json(),
write.orc(),
write.parquet(),
write.stream(),
write.text()
# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
showDF(df)
# }
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