| write.jdbc {SparkR} | R Documentation |
Save the content of the SparkDataFrame to an external database table via JDBC. Additional JDBC database connection properties can be set (...)
write.jdbc(x, url, tableName, mode = "error", ...) ## S4 method for signature 'SparkDataFrame,character,character' write.jdbc(x, url, tableName, mode = "error", ...)
x |
a SparkDataFrame. |
url |
JDBC database url of the form |
tableName |
yhe name of the table in the external database. |
mode |
one of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default). |
... |
additional JDBC database connection properties. |
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.
write.jdbc since 2.0.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame, attach,
cache, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, explain,
filter, first,
gapplyCollect, gapply,
getNumPartitions, group_by,
head, histogram,
insertInto, intersect,
isLocal, join,
limit, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, repartition,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
take, union,
unpersist, withColumn,
with, write.df,
write.json, write.orc,
write.parquet, write.text
## Not run:
##D sparkR.session()
##D jdbcUrl <- "jdbc:mysql://localhost:3306/databasename"
##D write.jdbc(df, jdbcUrl, "table", user = "username", password = "password")
## End(Not run)