I\'ve got a cassandra table with a field of type text named snapshot containing JSON objects:
[identifier, timestamp, snapshot]
I understood th
Almost there, you just want to pass your an RDD[String] with your json into the
jsonRDD
method
val conf = new SparkConf().setAppName("signal-aggregation")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
val snapshots = sc.cassandraTable[(String, String, String)]("listener", "snapshots")
val jsons = snapshots.map(_._3) // Get Third Row Element Json(RDD[String])
val jsonSchemaRDD = sqlContext.jsonRDD(jsons) // Pass in RDD directly
jsonSchemaRDD.registerTempTable("testjson")
sqlContext.sql("SELECT * FROM testjson where .... ").collect
A quick example
val stringRDD = sc.parallelize(Seq("""
{ "isActive": false,
"balance": "$1,431.73",
"picture": "http://placehold.it/32x32",
"age": 35,
"eyeColor": "blue"
}""",
"""{
"isActive": true,
"balance": "$2,515.60",
"picture": "http://placehold.it/32x32",
"age": 34,
"eyeColor": "blue"
}""",
"""{
"isActive": false,
"balance": "$3,765.29",
"picture": "http://placehold.it/32x32",
"age": 26,
"eyeColor": "blue"
}""")
)
sqlContext.jsonRDD(stringRDD).registerTempTable("testjson")
csc.sql("SELECT age from testjson").collect
//res24: Array[org.apache.spark.sql.Row] = Array([35], [34], [26])