Performs com.datastax.spark.connector.writer.WritableToCassandra for each produced RDD.
Performs com.datastax.spark.connector.writer.WritableToCassandra for each produced RDD. Uses specific column names with an additional batch size.
the name of the Keyspace to use
the name of the Table to use
The list of columns to save data to. Uses only the unique column names, and you must select at least all primary key columns. All other fields are discarded. Non-selected property/column names are left unchanged.
The batch size. By default, if the batch size is unspecified, the right amount is calculated automatically according the average row size. Specify explicit value here only if you find automatically tuned batch size doesn't result in optimal performance. Larger batches raise memory use by temporary buffers and may incur larger GC pressure on the server. Small batches would result in more round trips and worse throughput. Typically sending a few kilobytes of data per every batch is enough to achieve good performance.
Performs com.datastax.spark.connector.writer.WritableToCassandra for each produced RDD.
Performs com.datastax.spark.connector.writer.WritableToCassandra for each produced RDD. Uses specific column names.
the name of the Keyspace to use
the name of the Table to use
The list of column names to save data to. Uses only the unique column names, and you must select at least all primary key columns. All other fields are discarded. Non-selected property/column names are left unchanged.
Performs com.datastax.spark.connector.writer.WritableToCassandra for each produced RDD.
Performs com.datastax.spark.connector.writer.WritableToCassandra for each produced RDD. Uses all column names.
the name of the Keyspace to use
the name of the Table to use
(dStreamFunctions: StringAdd).self
(dStreamFunctions: StringFormat).self
(dStreamFunctions: ArrowAssoc[DStreamFunctions[T]]).x
(Since version 2.10.0) Use leftOfArrow
instead
(dStreamFunctions: Ensuring[DStreamFunctions[T]]).x
(Since version 2.10.0) Use resultOfEnsuring
instead