number of partitions to divide the data into; unset by default
size of Cassandra data to be read in a single Spark task;
determines the number of partitions, but ignored if splitCount
is set
number of CQL rows to fetch in a single round-trip to Cassandra
consistency level for reads, default LOCAL_ONE; higher consistency level will disable data-locality
whether or not enable task metrics updates (requires Spark 1.2+)
maximum read throughput allowed per single core in query/s while joining a RDD with C* table (joinWithCassandraTable operation)
consistency level for reads, default LOCAL_ONE; higher consistency level will disable data-locality
number of CQL rows to fetch in a single round-trip to Cassandra
number of partitions to divide the data into; unset by default
size of Cassandra data to be read in a single Spark task;
determines the number of partitions, but ignored if splitCount
is set
whether or not enable task metrics updates (requires Spark 1.
whether or not enable task metrics updates (requires Spark 1.2+)
maximum read throughput allowed per single core in query/s while joining a RDD with C* table (joinWithCassandraTable operation)
(readConf: StringAdd).self
(readConf: StringFormat).self
(readConf: ArrowAssoc[ReadConf]).x
(Since version 2.10.0) Use leftOfArrow
instead
(readConf: Ensuring[ReadConf]).x
(Since version 2.10.0) Use resultOfEnsuring
instead
Read settings for RDD
number of partitions to divide the data into; unset by default
size of Cassandra data to be read in a single Spark task; determines the number of partitions, but ignored if
splitCount
is setnumber of CQL rows to fetch in a single round-trip to Cassandra
consistency level for reads, default LOCAL_ONE; higher consistency level will disable data-locality
whether or not enable task metrics updates (requires Spark 1.2+)
maximum read throughput allowed per single core in query/s while joining a RDD with C* table (joinWithCassandraTable operation)