Spark中的配置单元表

Question

我在HDP中运行以下作业。

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

它失败了，错误是：

*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'*

而表格存在于Hive中，并且可以从spark-shell访问。

UPD。

    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'""")

Answer 1

在提交作业时，在--file参数中包含hive-site.xml文件