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
, except
,
explain
, filter
,
first
, gapplyCollect
,
gapply
, getNumPartitions
,
group_by
, head
,
hint
, histogram
,
intersect
, isLocal
,
isStreaming
, join
,
limit
, localCheckpoint
,
merge
, mutate
,
ncol
, nrow
,
persist
, printSchema
,
randomSplit
, rbind
,
registerTempTable
, rename
,
repartition
, rollup
,
sample
, saveAsTable
,
schema
, selectExpr
,
select
, showDF
,
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:
##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)