write.jdbc {SparkR} | R Documentation |
Additional JDBC database connection properties can be set (...)
## S4 method for signature 'SparkDataFrame,character,character' write.jdbc(x, url, tableName, mode = "error", ...) write.jdbc(x, url, tableName, mode = "error", ...)
x |
A SparkDataFrame |
url |
JDBC database url of the form 'jdbc:subprotocol:subname' |
tableName |
The name of the table in the external database |
mode |
One of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default) |
Also, 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: 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.
Other SparkDataFrame functions: $
,
$<-
, select
,
select
,
select,SparkDataFrame,Column-method
,
select,SparkDataFrame,list-method
,
selectExpr
;
SparkDataFrame-class
,
dataFrame
; [
,
[[
, subset
;
agg
, agg
,
count,GroupedData-method
,
summarize
, summarize
;
arrange
, arrange
,
arrange
, orderBy
,
orderBy
, orderBy
,
orderBy
; as.data.frame
,
as.data.frame,SparkDataFrame-method
;
attach
,
attach,SparkDataFrame-method
;
cache
; collect
;
colnames
, colnames
,
colnames<-
, colnames<-
,
columns
, names
,
names<-
; coltypes
,
coltypes
, coltypes<-
,
coltypes<-
; columns
,
dtypes
, printSchema
,
schema
, schema
;
count
, nrow
;
dapply
, dapply
,
dapplyCollect
, dapplyCollect
;
describe
, describe
,
describe
, summary
,
summary
,
summary,AFTSurvivalRegressionModel-method
,
summary,GeneralizedLinearRegressionModel-method
,
summary,KMeansModel-method
,
summary,NaiveBayesModel-method
;
dim
; distinct
,
unique
; dropDuplicates
,
dropDuplicates
; dropna
,
dropna
, fillna
,
fillna
, na.omit
,
na.omit
; drop
,
drop
; dtypes
;
except
, except
;
explain
, explain
;
filter
, filter
,
where
, where
;
first
, first
;
groupBy
, groupBy
,
group_by
, group_by
;
head
; histogram
;
insertInto
, insertInto
;
intersect
, intersect
;
isLocal
, isLocal
;
join
; 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
,
show,WindowSpec-method
; str
;
take
; unpersist
;
withColumn
, withColumn
;
write.json
, write.json
;
write.text
, write.text
## Not run: sc <- sparkR.init() sqlContext <- sparkRSQL.init(sc) jdbcUrl <- "jdbc:mysql://localhost:3306/databasename" write.jdbc(df, jdbcUrl, "table", user = "username", password = "password") ## End(Not run)