join {SparkR}R Documentation



Join two DataFrames based on the given join expression.


## S4 method for signature 'DataFrame,DataFrame'
join(x, y, joinExpr = NULL, joinType = NULL)



A Spark DataFrame


A Spark DataFrame


(Optional) The expression used to perform the join. joinExpr must be a Column expression. If joinExpr is omitted, join() will perform a Cartesian join


The type of join to perform. The following join types are available: 'inner', 'outer', 'full', 'fullouter', leftouter', 'left_outer', 'left', 'right_outer', 'rightouter', 'right', and 'leftsemi'. The default joinType is "inner".


A DataFrame containing the result of the join operation.

See Also


Other DataFrame functions: $, $<-, select, select, select,DataFrame,Column-method, select,DataFrame,list-method, selectExpr; DataFrame-class, dataFrame, groupedData; [, [, [[, subset; agg, agg, count,GroupedData-method, summarize, summarize; arrange, arrange, arrange, orderBy, orderBy;,,DataFrame-method; attach, attach,DataFrame-method; cache; collect; colnames, colnames, colnames<-, colnames<-, columns, names, names<-; coltypes, coltypes, coltypes<-, coltypes<-; columns, dtypes, printSchema, schema, schema; count, nrow; describe, describe, describe, summary, summary, summary,PipelineModel-method; dim; distinct, unique; dropna, dropna, fillna, fillna, na.omit, na.omit; dtypes; except, except; explain, explain; filter, filter, where, where; first, first; groupBy, groupBy, group_by, group_by; head; insertInto, insertInto; intersect, intersect; isLocal, isLocal; limit, limit; merge, merge; mutate, mutate, transform, transform; ncol; persist; printSchema; rbind, rbind, unionAll, unionAll; registerTempTable, registerTempTable; rename, rename, withColumnRenamed, withColumnRenamed; repartition; sample, sample, sample_frac, sample_frac; saveAsParquetFile, saveAsParquetFile, write.parquet, write.parquet; saveAsTable, saveAsTable; saveDF, saveDF, write.df, write.df, write.df; selectExpr; showDF, showDF; show, show, show,GroupedData-method; str; take; unpersist; withColumn, withColumn; write.json, write.json; write.text, write.text


## Not run: 
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D df1 <- read.json(sqlContext, path)
##D df2 <- read.json(sqlContext, path2)
##D join(df1, df2) # Performs a Cartesian
##D join(df1, df2, df1$col1 == df2$col2) # Performs an inner join based on expression
##D join(df1, df2, df1$col1 == df2$col2, "right_outer")
## End(Not run)

[Package SparkR version 1.6.1 Index]