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From "Wei Zheng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-12724) ACID: Major compaction fails to include the original bucket files into MR job
Date Thu, 14 Jan 2016 23:19:39 GMT

     [ https://issues.apache.org/jira/browse/HIVE-12724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Wei Zheng updated HIVE-12724:
-----------------------------
    Attachment:     (was: HIVE-12724.4.patch)

> ACID: Major compaction fails to include the original bucket files into MR job
> -----------------------------------------------------------------------------
>
>                 Key: HIVE-12724
>                 URL: https://issues.apache.org/jira/browse/HIVE-12724
>             Project: Hive
>          Issue Type: Bug
>          Components: Hive, Transactions
>    Affects Versions: 1.3.0, 2.0.0
>            Reporter: Wei Zheng
>            Assignee: Wei Zheng
>            Priority: Blocker
>         Attachments: HIVE-12724.1.patch, HIVE-12724.2.patch, HIVE-12724.3.patch, HIVE-12724.4.patch,
HIVE-12724.ADDENDUM.1.patch, HIVE-12724.branch-1.2.patch, HIVE-12724.branch-1.patch
>
>
> How the problem happens:
> * Create a non-ACID table
> * Before non-ACID to ACID table conversion, we inserted row one
> * After non-ACID to ACID table conversion, we inserted row two
> * Both rows can be retrieved before MAJOR compaction
> * After MAJOR compaction, row one is lost
> {code}
> hive> USE acidtest;
> OK
> Time taken: 0.77 seconds
> hive> CREATE TABLE t1 (nationkey INT, name STRING, regionkey INT, comment STRING)
>     > CLUSTERED BY (regionkey) INTO 2 BUCKETS
>     > STORED AS ORC;
> OK
> Time taken: 0.179 seconds
> hive> DESC FORMATTED t1;
> OK
> # col_name            	data_type           	comment
> nationkey           	int
> name                	string
> regionkey           	int
> comment             	string
> # Detailed Table Information
> Database:           	acidtest
> Owner:              	wzheng
> CreateTime:         	Mon Dec 14 15:50:40 PST 2015
> LastAccessTime:     	UNKNOWN
> Retention:          	0
> Location:           	file:/Users/wzheng/hivetmp/warehouse/acidtest.db/t1
> Table Type:         	MANAGED_TABLE
> Table Parameters:
> 	transient_lastDdlTime	1450137040
> # Storage Information
> SerDe Library:      	org.apache.hadoop.hive.ql.io.orc.OrcSerde
> InputFormat:        	org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
> OutputFormat:       	org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat
> Compressed:         	No
> Num Buckets:        	2
> Bucket Columns:     	[regionkey]
> Sort Columns:       	[]
> Storage Desc Params:
> 	serialization.format	1
> Time taken: 0.198 seconds, Fetched: 28 row(s)
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db;
> Found 1 items
> drwxr-xr-x   - wzheng staff         68 2015-12-14 15:50 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1;
> hive> INSERT INTO TABLE t1 VALUES (1, 'USA', 1, 'united states');
> WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions.
Consider using a different execution engine (i.e. tez, spark) or using Hive 1.X releases.
> Query ID = wzheng_20151214155028_630098c6-605f-4e7e-a797-6b49fb48360d
> Total jobs = 1
> Launching Job 1 out of 1
> Number of reduce tasks determined at compile time: 2
> 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)
> 2015-12-14 15:51:58,070 Stage-1 map = 100%,  reduce = 100%
> Ended Job = job_local73977356_0001
> Loading data to table acidtest.t1
> MapReduce Jobs Launched:
> Stage-Stage-1:  HDFS Read: 0 HDFS Write: 0 SUCCESS
> Total MapReduce CPU Time Spent: 0 msec
> OK
> Time taken: 2.825 seconds
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1;
> Found 2 items
> -rwxr-xr-x   1 wzheng staff        112 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000000_0
> -rwxr-xr-x   1 wzheng staff        472 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000001_0
> hive> SELECT * FROM t1;
> OK
> 1	USA	1	united states
> Time taken: 0.434 seconds, Fetched: 1 row(s)
> hive> ALTER TABLE t1 SET TBLPROPERTIES ('transactional' = 'true');
> OK
> Time taken: 0.071 seconds
> hive> DESC FORMATTED t1;
> OK
> # col_name            	data_type           	comment
> nationkey           	int
> name                	string
> regionkey           	int
> comment             	string
> # Detailed Table Information
> Database:           	acidtest
> Owner:              	wzheng
> CreateTime:         	Mon Dec 14 15:50:40 PST 2015
> LastAccessTime:     	UNKNOWN
> Retention:          	0
> Location:           	file:/Users/wzheng/hivetmp/warehouse/acidtest.db/t1
> Table Type:         	MANAGED_TABLE
> Table Parameters:
> 	COLUMN_STATS_ACCURATE	false
> 	last_modified_by    	wzheng
> 	last_modified_time  	1450137141
> 	numFiles            	2
> 	numRows             	-1
> 	rawDataSize         	-1
> 	totalSize           	584
> 	transactional       	true
> 	transient_lastDdlTime	1450137141
> # Storage Information
> SerDe Library:      	org.apache.hadoop.hive.ql.io.orc.OrcSerde
> InputFormat:        	org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
> OutputFormat:       	org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat
> Compressed:         	No
> Num Buckets:        	2
> Bucket Columns:     	[regionkey]
> Sort Columns:       	[]
> Storage Desc Params:
> 	serialization.format	1
> Time taken: 0.049 seconds, Fetched: 36 row(s)
> hive> set hive.support.concurrency=true;
> hive> set hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;
> hive> set hive.compactor.initiator.on=true;
> hive> set hive.compactor.worker.threads=5;
> hive> set hive.exec.dynamic.partition.mode=nonstrict;
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1;
> Found 2 items
> -rwxr-xr-x   1 wzheng staff        112 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000000_0
> -rwxr-xr-x   1 wzheng staff        472 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000001_0
> hive> INSERT INTO TABLE t1 VALUES (2, 'Canada', 1, 'maple leaf');
> WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions.
Consider using a different execution engine (i.e. tez, spark) or using Hive 1.X releases.
> Query ID = wzheng_20151214155028_630098c6-605f-4e7e-a797-6b49fb48360d
> Total jobs = 1
> Launching Job 1 out of 1
> Number of reduce tasks determined at compile time: 2
> 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)
> 2015-12-14 15:54:18,943 Stage-1 map = 100%,  reduce = 100%
> Ended Job = job_local1674014367_0002
> Loading data to table acidtest.t1
> MapReduce Jobs Launched:
> Stage-Stage-1:  HDFS Read: 0 HDFS Write: 0 SUCCESS
> Total MapReduce CPU Time Spent: 0 msec
> OK
> Time taken: 1.995 seconds
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1;
> Found 3 items
> -rwxr-xr-x   1 wzheng staff        112 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000000_0
> -rwxr-xr-x   1 wzheng staff        472 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000001_0
> drwxr-xr-x   - wzheng staff        204 2015-12-14 15:54 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/delta_0000007_0000007_0000
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/delta_0000007_0000007_0000;
> Found 2 items
> -rw-r--r--   1 wzheng staff        214 2015-12-14 15:54 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/delta_0000007_0000007_0000/bucket_00000
> -rw-r--r--   1 wzheng staff        797 2015-12-14 15:54 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/delta_0000007_0000007_0000/bucket_00001
> hive> SELECT * FROM t1;
> OK
> 1	USA	1	united states
> 2	Canada	1	maple leaf
> Time taken: 0.1 seconds, Fetched: 2 row(s)
> hive> ALTER TABLE t1 COMPACT 'MAJOR';
> Compaction enqueued.
> OK
> Time taken: 0.026 seconds
> hive> show compactions;
> OK
> Database	Table	Partition	Type	State	Worker	Start Time
> Time taken: 0.022 seconds, Fetched: 1 row(s)
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/;
> Found 3 items
> -rwxr-xr-x   1 wzheng staff        112 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000000_0
> -rwxr-xr-x   1 wzheng staff        472 2015-12-14 15:51 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/000001_0
> drwxr-xr-x   - wzheng staff        204 2015-12-14 15:55 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/base_0000007
> hive> dfs -ls /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/base_0000007;
> Found 2 items
> -rw-r--r--   1 wzheng staff        222 2015-12-14 15:55 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/base_0000007/bucket_00000
> -rw-r--r--   1 wzheng staff        802 2015-12-14 15:55 /Users/wzheng/hivetmp/warehouse/acidtest.db/t1/base_0000007/bucket_00001
> hive> select * from t1;
> OK
> 2	Canada	1	maple leaf
> Time taken: 0.396 seconds, Fetched: 1 row(s)
> hive> select count(*) from t1;
> WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions.
Consider using a different execution engine (i.e. tez, spark) or using Hive 1.X releases.
> Query ID = wzheng_20151214155028_630098c6-605f-4e7e-a797-6b49fb48360d
> Total jobs = 1
> 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)
> 2015-12-14 15:56:20,277 Stage-1 map = 100%,  reduce = 100%
> Ended Job = job_local1720993786_0003
> MapReduce Jobs Launched:
> Stage-Stage-1:  HDFS Read: 0 HDFS Write: 0 SUCCESS
> Total MapReduce CPU Time Spent: 0 msec
> OK
> 1
> Time taken: 1.623 seconds, Fetched: 1 row(s)
> {code}
> Note, the cleanup doesn't kick in because the compaction fails already. The cleanup itself
doesn't have any problem (at least not that we know of for this case).



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