insertInto: insertInto

In SparkR: R Front End for 'Apache Spark'

Description

Insert the contents of a SparkDataFrame into a table registered in the current SparkSession.

Usage

insertInto(x, tableName, ...)

## S4 method for signature 'SparkDataFrame,character'
insertInto(x, tableName, overwrite = FALSE)

Arguments

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.

Note

insertInto since 1.4.0

See Also

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()

Examples

## Not run: 
sparkR.session()
df <- read.df(path, "parquet")
df2 <- read.df(path2, "parquet")
saveAsTable(df, "table1")
insertInto(df2, "table1", overwrite = TRUE)

## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.