> Unable to Select Data From more than one table in hive
> ------------------------------------------------------
>
> Key: CARBONDATA-1192
> URL:
https://issues.apache.org/jira/browse/CARBONDATA-1192> Project: CarbonData
> Issue Type: Bug
> Components: hive-integration
> Affects Versions: 1.2.0
> Environment: hive 1.2,spark 2.1
> Reporter: anubhav tarar
> Assignee: anubhav tarar
> Fix For: 1.3.0
>
>
> inside spark shell
> carbon.sql("DROP TABLE IF EXISTS CUSTOMER ")
> carbon.sql("CREATE TABLE CUSTOMER ( C_CUSTKEY INT ,\n C_NAME STRING ,\n C_ADDRESS STRING ,\n " +
> "C_NATIONKEY INT ,\n C_PHONE STRING ,\n C_ACCTBAL DECIMAL(15,2) ,\n C_MKTSEGMENT " +
> "STRING ,\n C_COMMENT STRING ) STORED BY 'carbondata' ")
> carbon.sql("LOAD DATA INPATH \"hdfs://localhost:54310/user1/customer.csv\" INTO TABLE customer " +
> "OPTIONS('DELIMITER'='|' , 'QUOTECHAR'='\"' , 'FILEHEADER'='C_CUSTKEY,C_NAME," +
> "C_ADDRESS,C_NATIONKEY,C_PHONE,C_ACCTBAL,C_MKTSEGMENT,C_COMMENT')")
> carbon.sql("DROP TABLE IF EXISTS ORDERS ")
> carbon.sql("CREATE TABLE ORDERS ( O_ORDERKEY INT ,O_CUSTKEY INT ,O_ORDERSTATUS STRING ,O_TOTALPRICE DECIMAL(15,2) , O_ORDERDATE TIMESTAMP , O_ORDERPRIORITY STRING , O_CLERK STRING , O_SHIPPRIORITY INT , O_COMMENT STRING ) STORED BY 'carbondata' ")
> carbon.sql("LOAD DATA INPATH 'hdfs://localhost:54310/user1/orders.csv' INTO TABLE orders " +
> "OPTIONS('DELIMITER'='|' , 'QUOTECHAR'='\"','FILEHEADER'='O_ORDERKEY,O_CUSTKEY," +
> "O_ORDERSTATUS,O_TOTALPRICE,O_ORDERDATE,O_ORDERPRIORITY,O_CLERK,O_SHIPPRIORITY," +
> "O_COMMENT')")
> read data from hive shell
> hive> select o_custkey,c_custkey from orders,customer limit 2;
> Warning: Shuffle Join JOIN[4][tables = [orders, customer]] in Stage 'Stage-1:MAPRED' is a cross product
> Query ID = hduser_20170619125257_d889efa9-261f-436e-9489-fd15d6b76beb
> Total jobs = 1
> Stage-1 is selected by condition resolver.
> Launching Job 1 out of 1
> Number of reduce tasks determined at compile time: 1
> In order to change the average load for a reducer (in bytes):
> set hive.exec.reducers.bytes.per.reducer=<number>
> In order to limit the maximum number of reducers:
> set hive.exec.reducers.max=<number>
> In order to set a constant number of reducers:
> set mapreduce.job.reduces=<number>
> Job running in-process (local Hadoop)
> 2017-06-19 12:53:01,987 Stage-1 map = 0%, reduce = 0%
> 2017-06-19 12:53:49,113 Stage-1 map = 38%, reduce = 0%
> 2017-06-19 12:53:51,127 Stage-1 map = 100%, reduce = 0%
> Ended Job = job_local1708233203_0001 with errors
> Error during job, obtaining debugging information...
> Job Tracking URL:
http://localhost:8080/> FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
> MapReduce Jobs Launched:
> Stage-Stage-1: HDFS Read: 12033731 HDFS Write: 0 FAIL
> Total MapReduce CPU Time Spent: 0 msec
>
Locked
