Hey Eric
I know this isnt the fix you're looking for but in the spirit of pragmatic
workarounds... What happens if you CREATE TABLE copy AS SELECT * FROM orig?
I used to use that with very early Hue versions.
Cheers,
Tim,
Sent from my iPhone (which makes terrible auto-correct spelling mistakes)
> On 21 Nov 2013, at 18:27, Eric Chu <e...@rocketfuel.com> wrote:
>
> Hi,
>
> We often have map-only queries that result in a large number of small output
> files (in the thousands). Although this doesn't affect CLI, when users try to
> view/download the query result in Hue, Hue would time out in trying to read
> all these small files. We tried to set the following properties that
> supposedly will make Hive launch an extra MR job to merge these files when
> the average file size is smaller than some threshold, but it's not working:
> hive.merge.mapfiles = true
> hive.merge.mapredfiles = true
> hive.merge.smallfiles.avgsize = 32000000 (Default is 16000000)
> In Hive 10, we used to have hive.mergejob.maponly set to true, but this
> property does not exist in Hive 11 and 12. What's the story behind this?
> For example, in the following select-from-where query on a partitioned table
> in RCFile, there would be two root stages - one doing a scan with filter and
> the other doing a fetch.
>
> Query:
>
> select data_date as date, ID, if(col_10=1, "yes","no") as answer
> from table_1
> where arr[4] <> "0"
> and lookup("table_1", x,"action_id")=20519251
> and data_date>=20131014
>
> Query Plan:
>
> STAGE DEPENDENCIES:
> Stage-1 is a root stage
> Stage-0 is a root stage
>
> STAGE PLANS:
> Stage: Stage-1
> Map Reduce
> Alias -> Map Operator Tree:
> table_1
> TableScan
> alias: table_1
> Filter Operator
> predicate:
> expr: ((arr[4] <> '0') and (dim_lookup('table_1', x,
> 'action_id') = 20519251))
> type: boolean
> Select Operator
> expressions:
> expr: data_date
> type: string
> expr: ID
> type: string
> expr: if((col_10= 1), 'yes', 'no')
> type: string
> outputColumnNames: _col0, _col1, _col2
> File Output Operator
> compressed: true
> GlobalTableId: 0
> table:
> input format: org.apache.hadoop.mapred.TextInputFormat
> output format:
> org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
>
> Stage: Stage-0
> Fetch Operator
> limit: -1
>
> The query leads to 6253 output files, and the total size is 86427 bytes. Many
> of the files have 8 bytes and the ones that have more than 8 bytes usually
> have ~30 bytes. With the aforementioned settings, I'd expect an extra MR job
> to merge the files, but that didn't happen.
>
> If anyone has some insights please let me know.
>
> Thanks,
>
> Eric
