from pyspark.sql import SparkSession
import logging 
import datetime
import time

spark = SparkSession \
    .builder \
    .appName("configuration_test") \
    .enableHiveSupport() \
    .getOrCreate()

log4jLogger = spark._jvm.org.apache.log4j
logger = log4jLogger.LogManager.getLogger(__name__)

try:    
    logger.info("SPARKAPP START")

    start =  datetime.datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d %H:%M:%S')

    cat = spark.sql("select * from hrucinska.uam_categories")
    offers = spark.sql("select * from hrucinska.uam_offers")
    res = offers.join(cat, cat.category_id == offers.category_leaf)
    print res.where(res.category_level2 == "RTV i AGD").count()
 
    stop = datetime.datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d %H:%M:%S')

    print "czas rozpoczecia obliczen 1: ", start
    print "czas zakonczenia obliczen1: ", stop

    time.sleep(180)	

except Exception as inst:
    logger.info("SPARKAPP ERROR {0}".format(inst)) 	
finally:
    logger.info("SPARKAPP STOP")