Use the intuitive GUI to manage complex databases with just a few. Val connectorDF = (".DefaultSource").options(options). DbSchema is the perfect tool for designing and managing any SQL, NoSQL, or Cloud Database. Val options = Map("table" -> "bartek_test_vertica_connector", "db" -> db, "user" -> user, "password" -> password, "host" -> host, "hdfs_url" -> hdfs_url, "dbschema" -> dbSchema)ĭf.write.format(".DefaultSource").options(options).mode("overwrite").save() Connect from DbSchema using the user dbadmin and the password used to create the database. Spark2-shell -jars vertica-jdbc-9.0.1-7.jar,vertica-9.0.1_spark2.1_scala2.11.jarĬase class M圜lass(mystring: String, myboolean: Boolean, myint: Int, myLong: Long, myfloat: Float, mydouble: Double, mystringdatetime: String) I'm trying to insert rows concurrently in a vertica table using concurrent/parallel threads in a Java Spark application. Hadoop fs -mkdir /user/$USER/bartek_test_vertica_connector ![]() ![]() A Spark SaveMode must to be specified (Append, Overwrite, Ignore, ErrorIfExists). The connector defaults to 'public' schema, but any schema name can be provided as an option by using the 'dbschema' optional argument. The RHQ database schema is defined in two ways, by the EJB3 mappings to the domain module and as an XML format maintained. ![]() Hadoop fs -rm -r -skipTrash /user/$USER/bartek_test_vertica_connector The specified Vertica username must have CREATE privileges on the Vertica schema.
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