我在hdp做以下工作。

export SPARK-MAJOR-VERSION=2
spark-submit --class com.spark.sparkexamples.Audit --master yarn --deploy-mode cluster \
--files /bigdata/datalake/app/config/metadata.csv BRNSAUDIT_v4.jar dl_raw.ACC /bigdatahdfs/landing/AUDIT/BW/2017/02/27/ACC_hash_total_and_count_20170227.dat TH 20170227

它的错误在于：

* Table or view not found: `dl_raw`.`ACC`; line 1 pos 94;

'Aggregate [count(1) AS rec_cnt#58L, 'count('BRCH_NUM) AS hashcount#59, 'sum('ACC_NUM) AS hashsum#60]
+- 'Filter (('trim('country_code) = trim(TH)) && ('from_unixtime('unix_timestamp('substr('bus_date, 0, 11), MM/dd/yyyy), yyyyMMdd) = 20170227))
   +- 'UnresolvedRelation `dl_raw`.`ACC'*

而表是目前在Hive和它可以从Spark壳。
升级。

val sparkSession = SparkSession.builder
.appName("spark session example")
.enableHiveSupport()
.getOrCreate() 
sparkSession.conf.set("spark.sql.crossJoin.enabled", "true") 

val df_table_stats = sparkSession.sql("""select count(*) as rec_cnt,count(distinct BRCH_NUM) as hashcount,
sum(ACC_NUM) as hashsum 
from dl_raw.ACC 
where trim(country_code) = trim('BW') 
and from_unixtime(unix_timestamp(substr(bus_date,0,11),'MM/dd/yy‌​yy'),'yyyyMMdd')='20‌​170227'""")