createOrReplaceTempView {SparkR} | R Documentation |
Creates a new temporary view using a SparkDataFrame in the Spark Session. If a temporary view with the same name already exists, replaces it.
createOrReplaceTempView(x, viewName) ## S4 method for signature 'SparkDataFrame,character' createOrReplaceTempView(x, viewName)
x |
A SparkDataFrame |
viewName |
A character vector containing the name of the table |
createOrReplaceTempView since 2.0.0
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, alias
,
arrange
, as.data.frame
,
attach,SparkDataFrame-method
,
broadcast
, cache
,
checkpoint
, coalesce
,
collect
, colnames
,
coltypes
, 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
, 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 path <- "path/to/file.json"
##D df <- read.json(path)
##D createOrReplaceTempView(df, "json_df")
##D new_df <- sql("SELECT * FROM json_df")
## End(Not run)