source camp_rule tech_rule designer_rule sql camp oql lambda_nra nra nraenv nnrc nnrcmr cldmr dnnrc dnnrc_typed js java spark_rdd spark_df cloudant Specify an intermediate step
source query (enter text or choose file)   Persons.filter{p => p.age = 32}.map{p => p.name}
schema (enter text or choose file) { "hierarchy": [], "brandTypes" :[], "typeDefs" :[], "globals" : { "Persons" : { "dist" : "distr", "type" : { "$coll" : { "pid" : "Nat" , "name" : "String", "age" : "Nat", "company" : "Nat" } } }, "Companies" : { "dist" : "distr", "type" : { "$coll" : { "cid" : "Nat" , "cname" : "String", "departments" : { "$coll" : "String" } } } } } }
use one of the following execution input as CSV files (choose delimiter and files) delimiter:, execution input as JSON (enter text or choose file) { "Persons" : [{"pid": 1, "name": "John Doe", "age":32, "company":101}, {"pid": 2, "name": "Jane Doe", "age":32, "company":103}, {"pid": 3, "name": "Jim Does", "age":34, "company":101}, {"pid": 4, "name": "Jill Does","age":32, "company":102}, {"pid": 5, "name": "Joan Doe", "age":34, "company":101}, {"pid": 6, "name": "James Do", "age":35, "company":103}], "Companies" : [{"cid": 101, "cname": "HBO", "departments":["HR","Research"]}, {"cid": 102, "cname": "CNN", "departments":["M&A","Corporate"]}, {"cid": 103, "cname": "ATT", "departments":["Mobile","Cable"]}] }
optimizations []
character set Ascii Greek
compilation path ExactPath FillPath
emit EmitAll EmitTarget
java imports