Hi all,
FYI, we just merged a patch that fails a build if there is a scala compiler
warning (if it is not deprecation warning).
In the past, many compiler warnings are actually caused by legitimate bugs
that we need to address. However, if we don't fail the build with warnings,
people don't pay a
Yes, but not all SQL-standard insert variants .
From: Debasish Das [mailto:debasish.da...@gmail.com]
Sent: Wednesday, July 22, 2015 7:36 PM
To: Bing Xiao (Bing)
Cc: user; dev; Yan Zhou.sc
Subject: Re: Package Release Annoucement: Spark SQL on HBase "Astro"
Does it also support insert operations
Does it also support insert operations ?
On Jul 22, 2015 4:53 PM, "Bing Xiao (Bing)" wrote:
> We are happy to announce the availability of the Spark SQL on HBase
> 1.0.0 release.
> http://spark-packages.org/package/Huawei-Spark/Spark-SQL-on-HBase
>
> The main features in this package, dubbed “As
Hi guys,
I’m trying to patch hive thrift server part related to HIVE-7620. I saw in
spark is pulling a private fork of hive under spark-project hive name.
Any idea where I can find the source code of it?
Thanks~
马晓宇 / Xiaoyu Ma
hzmaxia...@corp.netease.com
I am running into an inconvenience while developing which I think could be
fixed by extending addPyFile. I am working on a pyspark project which has a
primary entry point plus several modules. The effect of this is that unless
the code is copied to the cluster in the PYTHONPATH or zipped and shippe
We are happy to announce the availability of the Spark SQL on HBase 1.0.0
release. http://spark-packages.org/package/Huawei-Spark/Spark-SQL-on-HBase
The main features in this package, dubbed "Astro", include:
* Systematic and powerful handling of data pruning and intelligent
scan, based
I agree with everything Justin just said. An additional advantage of
publishing PySpark's Python code in a standards-compliant way is the fact
that we'll be able to declare transitive dependencies (Pandas, Py4J) in a
way that pip can use. Contrast this with the current situation, where
df.toPandas(
Ok, thanks,
I understood why this happened.
best regards,
// maropu
On Wed, Jul 22, 2015 at 10:26 PM, Takeshi Yamamuro
wrote:
> The move prevents some errors though, all the errors cannot be gone.
> For example, in o.a.s.sql.catalyst.analysis.*Suite,
>
> The case '
> https://github.com/maropu/
// + *Davies* for his comments
// + Punya for SA
For development and CI, like Olivier mentioned, I think it would be hugely
beneficial to publish pyspark (only code in the python/ dir) on PyPI. If
anyone wants to develop against PySpark APIs, they need to download the
distribution and do a lot of
The move prevents some errors though, all the errors cannot be gone.
For example, in o.a.s.sql.catalyst.analysis.*Suite,
The case '
https://github.com/maropu/spark/commit/961b5e99e2136167f175598ed36585987cc1e236
'
causes 3 errors.
AnalysisSuite:
- analyze project *** FAILED ***
AnalysisErrorSuite:
Hi all:
I am developing an algorithm that needs to put together elements with
the same key as much as possible but with always using a fixed number of
partitions. To do that, this algorithm sorts by key the elements. The
problem is that the number of distinct keys influences in the number of
Hi all,
The unreleased version 1.6.0 has was removed from JIRA due to my
misoperation. I've added it back, but JIRA tickets that once targeted to
1.6.0 now have empty target version/s. If you found tickets that should
have targeted to 1.6.0, please help marking the target version/s field
back
Hi Andrew,
I understand that there is no difference currently.
Thanks,
Yu
-
-- Yu Ishikawa
--
View this message in context:
http://apache-spark-developers-list.1001551.n3.nabble.com/What-is-the-difference-between-SlowSparkPullRequestBuilder-and-SparkPullRequestBuilder-tp13377p13380.html
S
Hi Yu,
As it stands today, they are identical except for trigger mechanism. When
you say "test this please" or push a commit, SparkPullRequestBuilder is the
one that's running the tests. SlowSparkPullRequestBuilder, however, is not
used by default, but only triggered when you say "slow test please
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