anubhav tarar created CARBONDATA-1192:
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Summary: 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: 1.2.0
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
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