spark_write_jdbc

Writes a Spark DataFrame into a JDBC table

Description

Writes a Spark DataFrame into a JDBC table.

Usage

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

Arguments

Argument	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

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_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()