saveAsTable

Save the contents of the SparkDataFrame to a data source as a table

The data source is specified by the source and a set of options (...). If source is not specified, the default data source configured by spark.sql.sources.default will be used.

Usage

saveAsTable(df, tableName, source = NULL, mode = "error", ...)
# S4 method for SparkDataFrame,character
saveAsTable(df, tableName, source = NULL, mode = "error", ...)

Details

Additionally, mode is used to specify the behavior of the save operation when data already exists in the data source. There are four modes: 'append': Contents of this SparkDataFrame are expected to be appended to existing data. 'overwrite': Existing data is expected to be overwritten by the contents of this SparkDataFrame. 'error' or 'errorifexists': An exception is expected to be thrown. 'ignore': The save operation is expected to not save the contents of the SparkDataFrame and to not change the existing data.

Note

saveAsTable 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(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), 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()

Aliases

• saveAsTable
• saveAsTable,SparkDataFrame,character-method

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
saveAsTable(df, "myfile")
# }