I'm querying data from Cassandra in Spark using SCC 2.5 and Spark 2.4.7 (pyspark). The table I'm reading from has a composite partition key (partition_key_1, pa
I'm not experienced in Java or Hadoop ecosystem. I configured my Spark cluster to connect to Amazon Keyspaces by using spark-cassandra-connector from Datastax.
I'm trying to write some data in aws keyspace with spark, but the follow message error shows: Exception in thread "main" java.lang.IllegalArgumentException: \
I have a HDFS Directory as below. /user/staging/app_name/2022_05_06 Under such a directory I have around 1000 part files. I want to loop each of the part file
I'm trying to write a dataframe on AWS (Keyspace), but I'm getting the following messages below: Stack: dfExploded.write.cassandraFormat(table = "table", keyspa
I am new to Spark, and recently I saw a code is saving data in RDD format to Cassandra table. But I am not able to figure it out how it is doing the column mapp
I downloaded succesfully this connector: com.datastax.spark:spark-cassandra-connector_2.11:2.5.1 And when I try to load the information with this line: data = s
I am trying to connect to a remote cassandra cluster in my spark shell using the Spark-cassandra connector. But its throwing some unusual errors. I do the usual
In my project i am using spark-Cassandra-connector to read the from Cassandra table and process it further into JavaRDD but i am facing issue while processing C