| insertInto {SparkR} | R Documentation |
Insert the contents of a SparkDataFrame into a table registered in the current SparkSession.
insertInto(x, tableName, ...) ## S4 method for signature 'SparkDataFrame,character' insertInto(x, tableName, overwrite = FALSE)
x |
a SparkDataFrame. |
tableName |
a character vector containing the name of the table. |
... |
further arguments to be passed to or from other methods. the existing rows in the table. |
overwrite |
a logical argument indicating whether or not to overwrite. |
insertInto since 1.4.0
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(),
intersectAll(),
intersect(),
isLocal(),
isStreaming(),
join(),
limit(),
localCheckpoint(),
merge(),
mutate(),
ncol(),
nrow(),
persist(),
printSchema(),
randomSplit(),
rbind(),
rename(),
repartitionByRange(),
repartition(),
rollup(),
sample(),
saveAsTable(),
schema(),
selectExpr(),
select(),
showDF(),
show(),
storageLevel(),
str(),
subset(),
summary(),
take(),
toJSON(),
unionAll(),
unionByName(),
union(),
unpersist(),
withColumn(),
withWatermark(),
with(),
write.df(),
write.jdbc(),
write.json(),
write.orc(),
write.parquet(),
write.stream(),
write.text()
## Not run:
##D sparkR.session()
##D df <- read.df(path, "parquet")
##D df2 <- read.df(path2, "parquet")
##D saveAsTable(df, "table1")
##D insertInto(df2, "table1", overwrite = TRUE)
## End(Not run)