archive is not working when multiple partitions inside one table are archived.
------------------------------------------------------------------------------
Key: HIVE-1515
URL: https://issues.apache.org/jira/browse/HIVE-1515
Project: Hadoop Hive
Issue Type: Bug
Reporter: He Yongqiang
set hive.exec.compress.output = true;
set hive.input.format=org.apache.hadoop.hive.ql.io.CombineHiveInputFormat;
set mapred.min.split.size=256;
set mapred.min.split.size.per.node=256;
set mapred.min.split.size.per.rack=256;
set mapred.max.split.size=256;
set hive.archive.enabled = true;
drop table combine_3_srcpart_seq_rc;
create table combine_3_srcpart_seq_rc (key int , value string) partitioned by
(ds string, hr string) stored as sequencefile;
insert overwrite table combine_3_srcpart_seq_rc partition (ds="2010-08-03",
hr="00") select * from src;
insert overwrite table combine_3_srcpart_seq_rc partition (ds="2010-08-03",
hr="001") select * from src;
ALTER TABLE combine_3_srcpart_seq_rc ARCHIVE PARTITION (ds="2010-08-03",
hr="00");
ALTER TABLE combine_3_srcpart_seq_rc ARCHIVE PARTITION (ds="2010-08-03",
hr="001");
select key, value, ds, hr from combine_3_srcpart_seq_rc where ds="2010-08-03"
order by key, hr limit 30;
drop table combine_3_srcpart_seq_rc;
will fail.
java.io.IOException: Invalid file name:
har:/data/users/heyongqiang/hive-trunk-clean/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=001/data.har/data/users/heyongqiang/hive-trunk-clean/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=001
in
har:/data/users/heyongqiang/hive-trunk-clean/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=00/data.har
The reason it fails is because:
there are 2 input paths (one for each partition) for the above query:
1):
har:/Users/heyongqiang/Documents/workspace/Hive-Index/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=00/data.har/Users/heyongqiang/Documents/workspace/Hive-Index/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=00
2):
har:/Users/heyongqiang/Documents/workspace/Hive-Index/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=001/data.har/Users/heyongqiang/Documents/workspace/Hive-Index/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=001
But when doing path.getFileSystem() for these 2 input paths. they both return
same one file system instance which points the first caller, in this case which
is
har:/Users/heyongqiang/Documents/workspace/Hive-Index/build/ql/test/data/warehouse/combine_3_srcpart_seq_rc/ds=2010-08-03/hr=00/data.har
The reason here is Hadoop's FileSystem has a global cache, and when trying to
load a FileSystem instance from a given path, it only take the path's scheme
and username to lookup the cache. So when we do Path.getFileSystem for the
second har path, it actually returns the file system handle for the first path.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
