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		02-27-2018
	
	
	
	
	
	
	
	
	
	
	
	
	
	
			
      
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		05-09-2018
	
		
		12:30 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Hi guys,  I have table employer like below in hbase   1  column=personal_data:age, timestamp=1472494356226, value=28    1                                   column=personal_data:name, timestamp=1472494329458, value=Kishore  2                                   column=personal_data:age, timestamp=1472494969330, value=35   2                                   column=personal_data:name, timestamp=1472494969330, value=Gopi      I have another table Department like below in hbase      1  column=personal_data:age, timestamp=1472494356333, value=28    1                                   column=personal_data:department, timestamp=1472494329433, value=Admin  2                                   column=personal_data:age, timestamp=1472494969345, value=35   2                                   column=personal_data:deparment, timestamp=1472494962340, value=IT      Can we join these two tables in hbase without using spark-scala and without loading this in to hive (since we can join these loading in to hive)   I want to join these two tables in hbase only. Can we achieve this ??????  Any suggestions would be appreciated.         
						
					
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		02-27-2018
	
		
		03:06 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 hi,  I am trying to insert my dataframe using orc and bzip2 compression but it is throwing me the error   java.lang.IllegalArgumentException: Codec [bzip2] is not available. Available codecs are uncompressed, lzo, snappy, zlib, none.
  at org.apache.spark.sql.hive.orc.OrcOptions.<init>(OrcOptions.scala:49)
  at org.apache.spark.sql.hive.orc.OrcOptions.<init>(OrcOptions.scala:32)
  at org  My code is   fields.write.format("orc").option("compression","bzip2").saveAsTable("prasadtest.descargatest")
I am using spark 2 for this. 
						
					
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