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
, arrange
,
as.data.frame
,
attach,SparkDataFrame-method
,
cache
, checkpoint
,
coalesce
, collect
,
colnames
, coltypes
,
crossJoin
, dapplyCollect
,
dapply
, describe
,
dim
, distinct
,
dropDuplicates
, dropna
,
drop
, dtypes
,
except
, explain
,
filter
, first
,
gapplyCollect
, gapply
,
getNumPartitions
, group_by
,
head
, hint
,
histogram
, insertInto
,
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 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)