Writes a Spark DataFrame into a JDBC table

R/data_interface.R

spark_write_jdbc

Description

Writes a Spark DataFrame into a JDBC table.

Usage

spark_write_jdbc( 
  x, 
  name, 
  mode = NULL, 
  options = list(), 
  partition_by = NULL, 
  ... 
)

Arguments

Arguments Description
x A Spark DataFrame or dplyr operation
name The name to assign to the newly generated table.
mode A character element. Specifies the behavior when data or table already exists. Supported values include: ‘error’, ‘append’, ‘overwrite’ and ignore. Notice that ‘overwrite’ will also change the column structure.
For more details see also https://spark.apache.org/docs/latest/sql-programming-guide.html#save-modes
for your version of Spark.
options A list of strings with additional options.
partition_by A character vector. Partitions the output by the given columns on the file system.
… Optional arguments; currently unused.

Examples

library(sparklyr)
sc <- spark_connect( 
  master = "local", 
  config = list( 
    `sparklyr.shell.driver-class-path` = "/usr/share/java/mysql-connector-java-8.0.25.jar" 
  ) 
) 
spark_write_jdbc( 
  sdf_len(sc, 10), 
  name = "my_sql_table", 
  options = list( 
    url = "jdbc:mysql://localhost:3306/my_sql_schema", 
    driver = "com.mysql.jdbc.Driver", 
    user = "me", 
    password = "******", 
    dbtable = "my_sql_table" 
  ) 
)

See Also

Other Spark serialization routines: collect_from_rds(), spark_insert_table(), spark_load_table(), spark_read_avro(), spark_read_binary(), spark_read_csv(), spark_read_delta(), spark_read_image(), spark_read_jdbc(), spark_read_json(), spark_read_libsvm(), spark_read_orc(), spark_read_parquet(), spark_read_source(), spark_read_table(), spark_read_text(), spark_read(), spark_save_table(), spark_write_avro(), spark_write_csv(), spark_write_delta(), spark_write_json(), spark_write_orc(), spark_write_parquet(), spark_write_source(), spark_write_table(), spark_write_text()