com.datastax.spark.connector.streaming
Maps each row into object of a different type using provided function taking column value(s) as argument(s).
Maps each row into object of a different type using provided function taking column value(s) as argument(s). Can be used to convert each row to a tuple or a case class object:
sc.cassandraTable("ks", "table").select("column1").as((s: String) => s) // yields CassandraRDD[String] sc.cassandraTable("ks", "table").select("column1", "column2").as((_: String, _: Long)) // yields CassandraRDD[(String, Long)] case class MyRow(key: String, value: Long) sc.cassandraTable("ks", "table").select("column1", "column2").as(MyRow) // yields CassandraRDD[MyRow]
How many rows are fetched at once from server
How many rows are fetched at once from server
consistency level for reads
consistency level for reads
Narrows down the selected set of columns.
Narrows down the selected set of columns.
Use this for better performance, when you don't need all the columns in the result RDD.
When called multiple times, it selects the subset of the already selected columns, so
after a column was removed by the previous select call, it is not possible to
add it back.
Returns the names of columns to be selected from the table.
Returns the names of columns to be selected from the table.
How many rows to fetch in a single Spark Task.
How many rows to fetch in a single Spark Task.
Adds a CQL WHERE predicate(s) to the query.
Adds a CQL WHERE predicate(s) to the query.
Useful for leveraging secondary indexes in Cassandra.
Implicitly adds an ALLOW FILTERING clause to the WHERE clause, however beware that some predicates
might be rejected by Cassandra, particularly in cases when they filter on an unindexed, non-clustering column.
RDD representing a Cassandra table for Spark Streaming.
CassandraRDD