I am running hive 071, processing existing data which is has the following directory layout:
-TableName
- d= (e.g. 2011-08-01)
- d=2011-08-02
- d=2011-08-03
... etc
under each date I have the date files.
now to load the data I'm using
CREATE EXTERNAL TABLE table_name (i int)
PARTITIONED BY (date String)
LOCATION '${hiveconf:basepath}/TableName';**
I would like my hive script to be able to load the relevant partitions according to some input date, and number of days. so if I pass date='2011-08-03' and days='7'
The script should load the following partitions
- d=2011-08-03
- d=2011-08-04
- d=2011-08-05
- d=2011-08-06
- d=2011-08-07
- d=2011-08-08
- d=2011-08-09
I havn't found any discent way to do it except explicitlly running:
ALTER TABLE table_name ADD PARTITION (d='2011-08-03');
ALTER TABLE table_name ADD PARTITION (d='2011-08-04');
ALTER TABLE table_name ADD PARTITION (d='2011-08-05');
ALTER TABLE table_name ADD PARTITION (d='2011-08-06');
ALTER TABLE table_name ADD PARTITION (d='2011-08-07');
ALTER TABLE table_name ADD PARTITION (d='2011-08-08');
ALTER TABLE table_name ADD PARTITION (d='2011-08-09');
and then running my query
select count(1) from table_name;
however this is offcourse not automated according to the date and days input
Is there any way I can define to the external table to load partitions according to date range, or date arithmetics?
I have a very similar issue where, after a migration, I have to recreate a table for which I have the data, but not the metadata. The solution seems to be, after recreating the table:
MSCK REPAIR TABLE table_name;
Explained here
This also mentions the "alter table X recover partitions"
that OP commented on his own post. MSCK REPAIR TABLE table_name;
works on non-Amazon-EMR implementations (Cloudera in my case).
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