Hey y’all,
Let’s use this thread to pre-populate a list of topics to discuss on Tuesday’s
hangout (05/31/16), so people can attend if they are interested in the
mentioned topics. I will also collect topics at the beginning of the hangout.
+ DRILL-4280: Kerberos Authentication (Sudheesh)
Thank
There was a presentation a year or so ago I presented at the MapR sales
kickoff that covers the memory characteristics of operators. Unfortunately,
I don't have access to the content but hopefully someone internal to MapR
should have it. (Maybe Ellen or Neeraja)
Approximately (from memory):
Hi,
Does anyone has any updates on the integration with Spark. The feature
mentioned in https://drill.apache.org/blog/2014/12/16/whats-coming-in-2015/
and
http://www.slideshare.net/SparkSummit/adding-complex-data-to-spark-stackneeraja-rentachintala
? Also there is an issue opened in JIRA(
Rahul, can you send me the query profile separately ? Also, can you try
group-by on fixed-width columns instead of Varchar ?
With single group, the hash table itself should be consuming relatively
small amount of memory.
On Fri, May 27, 2016 at 11:14 AM, Zelaine Fong wrote:
My guess would be that for hashing, a hash table is pre-allocated based on
the number of keys in the hash. That would explain why with more keys, the
memory usage grows. But that's just my guess. Someone who really
understands how this works should chime in :).
-- Zelaine
On Fri, May 27, 2016
Any inputs on this one?
On Wed, May 25, 2016 at 7:51 PM, rahul challapalli <
challapallira...@gmail.com> wrote:
> Its using hash aggregation.
> On May 25, 2016 7:48 PM, "Zelaine Fong" wrote:
>
>> What does the explain plan show? I.e., is the group by being done via a
>>
Github user StevenMPhillips commented on a diff in the pull request:
https://github.com/apache/drill/pull/509#discussion_r64940411
--- Diff:
exec/java-exec/src/main/java/org/apache/drill/exec/expr/EvaluationVisitor.java
---
@@ -811,7 +811,7 @@ public HoldingContainer
Roberto Grandi created DRILL-4698:
-
Summary: Cant read parquet partitioning from Azure Blob Storage
Key: DRILL-4698
URL: https://issues.apache.org/jira/browse/DRILL-4698
Project: Apache Drill
Github user PythonicNinja commented on the pull request:
https://github.com/apache/drill/pull/507#issuecomment-222073117
I have updated PR according to your and laurentgo ideas. @hnfgns: Can you
check second round of review?
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