Created
November 5, 2017 01:27
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Get inactive customers using left outer join between orders and customers using Data Frames and SQL
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/* | |
spark-shell --master yarn \ | |
--conf spark.ui.port=12345 \ | |
--num-executors 1 \ | |
--executor-cores 1 \ | |
--executor-memory 2G | |
*/ | |
import scala.io.Source | |
val ordersRaw = Source.fromFile("/data/retail_db/orders/part-00000").getLines.toList | |
val ordersRDD = sc.parallelize(ordersRaw) | |
val customersRaw = Source.fromFile("/data/retail_db/customers/part-00000").getLines.toList | |
val customersRDD = sc.parallelize(customersRaw) | |
val ordersDF = ordersRDD. | |
map(o => o.split(",")(2).toInt). | |
toDF("order_customer_id") | |
val customersDF = customersRDD. | |
map(c => (c.split(",")(0).toInt, c.split(",")(1), c.split(",")(2))). | |
toDF("customer_id", "customer_fname", "customer_lname") | |
ordersDF.registerTempTable("orders_dg") | |
customersDF.registerTempTable("customers_dg") | |
sqlContext.setConf("spark.sql.shuffle.partitions", "1") | |
sqlContext. | |
sql("select customer_lname, customer_fname " + | |
"from customers_dg left outer join orders_dg " + | |
"on customer_id = order_customer_id " + | |
"where order_customer_id is null " + | |
"order by customer_lname, customer_fname"). | |
rdd. | |
map(rec => rec.mkString(", ")). | |
saveAsTextFile("/user/dgadiraju/solutions/solutions02/inactive_customers") |
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Spark with Scala Solution
val cust=spark.read.option("sep","\t").csv("/data/retail_db/customers").select(col("_c0").as("customer_id"),col("_c1").as("fname"),col("_c2").as("lname"))
val orders = spark.read.option("sep",",").csv("/data/retail_db/orders").toDF("Order_id","order_date","customer_id","order_status")
cust.join(orders, Seq("cid"), "left_anti").select("lname", "fname").orderBy("lname", "fname").map(x=>x.mkString(",")).coalesce(1).write.option("compression","none").text("/user/cloudera/cca175-exercise-sol/solutions02/inactive_customers")