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From "anubhav tarar (JIRA)" <j...@apache.org>
Subject [jira] [Created] (CARBONDATA-598) Not using tableName option in Create table command Shows Strange Behaviour
Date Thu, 05 Jan 2017 10:58:58 GMT
anubhav tarar created CARBONDATA-598:
----------------------------------------

             Summary: Not using tableName option in Create table command Shows Strange Behaviour

                 Key: CARBONDATA-598
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-598
             Project: CarbonData
          Issue Type: Bug
          Components: spark-integration
    Affects Versions: 1.0.0-incubating
         Environment: cluster
            Reporter: anubhav tarar


if you dont use the tableName Option when creating table with Bucketing it shows strange behaviour
and do not validate any check

here are the logs
spark.sql("""CREATE TABLE t3q(ID String)USING org.apache.spark.sql.CarbonSource OPTIONS("bucketnumber"="1","bucketcolumns"="id","tableName"="t3qqqq")""");

here tables get created

then again

it does the checking when fired another query

spark.sql("""CREATE TABLE t3qqqq219(ID Int)USING org.apache.spark.sql.CarbonSource OPTIONS("bucketnumber"="1","bucketcolumns"="id","tableName"="t3q21000")""");

org.apache.carbondata.spark.exception.MalformedCarbonCommandException: Table default.t3q21000
can not be created without key columns. Please use DICTIONARY_INCLUDE or DICTIONARY_EXCLUDE
to set at least one key column if all specified columns are numeric types

either there should be a check that both table name in create table statement and  tableName
in Option both are same and if it is allowed it should valid all the checks  




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