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
, arrange
,
as.data.frame
,
attach,SparkDataFrame-method
,
cache
, checkpoint
,
coalesce
, collect
,
colnames
, coltypes
,
createOrReplaceTempView
,
crossJoin
, 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
,
merge
, mutate
,
ncol
, nrow
,
persist
, printSchema
,
randomSplit
, rbind
,
registerTempTable
, rename
,
repartition
, sample
,
saveAsTable
, schema
,
selectExpr
, select
,
showDF
, show
,
storageLevel
, str
,
subset
, take
,
toJSON
, union
,
unpersist
, withColumn
,
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 createOrReplaceTempView(df, "table1")
##D insertInto(df2, "table1", overwrite = TRUE)
## End(Not run)