Dear all, I have found a post discussing the same thing: https://groups.google.com/a/lists.datastax.com/forum/#!searchin/spark-connector-user/join/spark-connector-user/q3GotS-n0Wk/g-LPTteCEg0J
The solution is using "joinWithCassandraTable" and the documentation is here: https://github.com/datastax/spark-cassandra-connector/blob/v1.3.0-M2/doc/2_loading.md Wush 2015-07-15 12:15 GMT+08:00 Wush Wu <wush...@gmail.com>: > Dear all, > > I am trying to join two RDDs, named rdd1 and rdd2. > > rdd1 is loaded from a textfile with about 33000 records. > > rdd2 is loaded from a table in cassandra which has about 3 billions records. > > I tried the following code: > > ```scala > > val rdd1 : (String, XXX) = sc.textFile(...).map(...) > import org.apache.spark.sql.cassandra.CassandraSQLContext > cc.setKeyspace("xxx") > val rdd2 : (String, String) = cc.sql("SELECT x, y FROM xxx").map(r => ...) > > val result = rdd1.leftOuterJoin(rdd2) > result.take(20) > > ``` > > However, the log shows that the spark loaded 3 billions records from > cassandra and only 33000 records left at the end. > > Is there a way to query the cassandra based on the key in rdd1? > > Here is some information of our system: > > - The spark version is 1.3.1 > - The cassandra version is 2.0.14 > - The key of joining is the primary key of the cassandra table. > > Best, > Wush --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
