| merge {SparkR} | R Documentation |
Merges two data frames
## S4 method for signature 'DataFrame,DataFrame'
merge(x, y, by = intersect(names(x),
names(y)), by.x = by, by.y = by, all = FALSE, all.x = all,
all.y = all, sort = TRUE, suffixes = c("_x", "_y"), ...)
merge(x, y, ...)
x |
the first data frame to be joined |
y |
the second data frame to be joined |
by |
a character vector specifying the join columns. If by is not
specified, the common column names in |
by.x |
a character vector specifying the joining columns for x. |
by.y |
a character vector specifying the joining columns for y. |
all.x |
a boolean value indicating whether all the rows in x should be including in the join |
all.y |
a boolean value indicating whether all the rows in y should be including in the join |
sort |
a logical argument indicating whether the resulting columns should be sorted |
If all.x and all.y are set to FALSE, a natural join will be returned. If all.x is set to TRUE and all.y is set to FALSE, a left outer join will be returned. If all.x is set to FALSE and all.y is set to TRUE, a right outer join will be returned. If all.x and all.y are set to TRUE, a full outer join will be returned.
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; as.data.frame,
as.data.frame,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; join;
limit, limit;
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 merge(df1, df2) # Performs a Cartesian
##D merge(df1, df2, by = "col1") # Performs an inner join based on expression
##D merge(df1, df2, by.x = "col1", by.y = "col2", all.y = TRUE)
##D merge(df1, df2, by.x = "col1", by.y = "col2", all.x = TRUE)
##D merge(df1, df2, by.x = "col1", by.y = "col2", all.x = TRUE, all.y = TRUE)
##D merge(df1, df2, by.x = "col1", by.y = "col2", all = TRUE, sort = FALSE)
##D merge(df1, df2, by = "col1", all = TRUE, suffixes = c("-X", "-Y"))
## End(Not run)