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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-20697) MSCK REPAIR TABLE resets the Storage Information for bucketed hive tables.
Date Fri, 16 Nov 2018 16:28:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-20697?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen updated SPARK-20697:
------------------------------
    Priority: Major  (was: Critical)

This sounds like Hive functionality though; is it even resolvable in Spark?

> MSCK REPAIR TABLE resets the Storage Information for bucketed hive tables.
> --------------------------------------------------------------------------
>
>                 Key: SPARK-20697
>                 URL: https://issues.apache.org/jira/browse/SPARK-20697
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0, 2.2.0, 2.2.1, 2.3.0
>            Reporter: Abhishek Madav
>            Priority: Major
>
> MSCK REPAIR TABLE used to recover partitions for a partitioned+bucketed table does not
restore the bucketing information to the storage descriptor in the metastore. 
> Steps to reproduce:
> 1) Create a paritioned+bucketed table in hive: CREATE TABLE partbucket(a int) PARTITIONED
BY (b int) CLUSTERED BY (a) INTO 10 BUCKETS ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';
> 2) In Hive-CLI issue a desc formatted for the table.
> # col_name            	data_type           	comment             
> 	 	 
> a                   	int                 	                    
> 	 	 
> # Partition Information	 	 
> # col_name            	data_type           	comment             
> 	 	 
> b                   	int                 	                    
> 	 	 
> # Detailed Table Information	 	 
> Database:           	sparkhivebucket     	 
> Owner:              	devbld              	 
> CreateTime:         	Wed May 10 10:31:07 PDT 2017	 
> LastAccessTime:     	UNKNOWN             	 
> Protect Mode:       	None                	 
> Retention:          	0                   	 
> Location:           	hdfs://localhost:8020/user/hive/warehouse/partbucket 
> Table Type:         	MANAGED_TABLE       	 
> Table Parameters:	 	 
> 	transient_lastDdlTime	1494437467          
> 	 	 
> # Storage Information	 	 
> SerDe Library:      	org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe	 
> InputFormat:        	org.apache.hadoop.mapred.TextInputFormat	 
> OutputFormat:       	org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat	 
> Compressed:         	No                  	 
> Num Buckets:        	10                  	 
> Bucket Columns:     	[a]                 	 
> Sort Columns:       	[]                  	 
> Storage Desc Params:	 	 
> 	field.delim         	,                   
> 	serialization.format	, 
> 3) In spark-shell, 
> scala> spark.sql("MSCK REPAIR TABLE partbucket")
> 4) Back to Hive-CLI 
> desc formatted partbucket;
> # col_name            	data_type           	comment             
> 	 	 
> a                   	int                 	                    
> 	 	 
> # Partition Information	 	 
> # col_name            	data_type           	comment             
> 	 	 
> b                   	int                 	                    
> 	 	 
> # Detailed Table Information	 	 
> Database:           	sparkhivebucket     	 
> Owner:              	devbld              	 
> CreateTime:         	Wed May 10 10:31:07 PDT 2017	 
> LastAccessTime:     	UNKNOWN             	 
> Protect Mode:       	None                	 
> Retention:          	0                   	 
> Location:           	hdfs://localhost:8020/user/hive/warehouse/sparkhivebucket.db/partbucket

> Table Type:         	MANAGED_TABLE       	 
> Table Parameters:	 	 
> 	spark.sql.partitionProvider	catalog             
> 	transient_lastDdlTime	1494437647          
> 	 	 
> # Storage Information	 	 
> SerDe Library:      	org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe	 
> InputFormat:        	org.apache.hadoop.mapred.TextInputFormat	 
> OutputFormat:       	org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat	 
> Compressed:         	No                  	 
> Num Buckets:        	-1                  	 
> Bucket Columns:     	[]                  	 
> Sort Columns:       	[]                  	 
> Storage Desc Params:	 	 
> 	field.delim         	,                   
> 	serialization.format	, 
> Further inserts to this table cannot be made in bucketed fashion through Hive. 



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