I like Navis's idea. The timeout can be configurable.
On 7/29/12 6:47 AM, "Navis류승우" <[EMAIL PROTECTED]> wrote:
>I was thinking of timeout for fetching, 2000msec for example. How about
>2012년 7월 29일 일요일에 Edward Capriolo<[EMAIL PROTECTED]>님이 작성:
>> If where condition is too complex , selecting specific columns seems
>> enough and useful.
>> On Saturday, July 28, 2012, Namit Jain <[EMAIL PROTECTED]> wrote:
>>> Currently, hive does not launch map-reduce jobs for the following
>>> select * from <T> where <condition on partition columns> (limit <n>)?
>>> This behavior is not configurable, and cannot be altered.
>>> HIVE-2925 wants to extend this behavior. The goal is not to spawn
>> map-reduce jobs for the following queries:
>>> Select <expr> from <T> where <any condition> (limit <n>)?
>>> It is currently controlled by one parameter:
>> hive.aggressive.fetch.task.conversion, based on which it is decided,
>> whether to spawn
>>> map-reduce jobs or not for the queries of the above type. Note that
>> can be beneficial for certain types of queries, since it is
>>> avoiding the expensive step of spawning map-reduce. However, it can be
>> pretty expensive for certain types of queries: selecting
>>> a very large number of rows, the query having a very selective filter
>> (which is satisfied by a very number of rows, and therefore involves
>>> scanning a very large table) etc. The user does not have any control on
>> this. Note that it cannot be done by hooks, since the pre-semantic
>>> hooks does not have enough information: type of the query, inputs etc.
>> and it is too late to do anything in the post-semantic hook (the
>>> query plan has already been altered).
>>> I would like to propose the following configuration parameters to
>> this behavior.
>>> hive.fetch.task.conversion: true, false, auto
>>> If the value is true, then all queries with only selects and filters
>> be converted
>>> If the value is false, then no query will be converted
>>> If the value is auto (which should be the default behavior), there
>> be additional parameters to control the semantics.
>>> hive.fetch.task.auto.limit.threshold ---> integer value
>>> hive.fetch.task.auto.inputsize.threshold ---> integer value X2
>>> If either the query has a limit lower than X1, or the input size is
>> smaller than X2, the queries containing only filters and selects will be
>> converted to not use
>>> map-reudce jobs.