Fwd: posts are not accepted
Sent from my iPhone Begin forwarded message: From: Rob Sargent rob.sarg...@utah.edumailto:rob.sarg...@utah.edu Date: July 23, 2015 at 1:14:04 PM PDT To: user-ow...@spark.apache.orgmailto:user-ow...@spark.apache.org Subject: posts are not accepted Hello, my user name is iceback and my email is rob.sarg...@utah.edumailto:rob.sarg...@utah.edu. There seems to be a problem with my account as my posts are never accepted. Any information would be appreciated, rjs
Re: Where to find Spark-project-hive
On 22 Jul 2015, at 18:57, Xiaoyu Ma hzmaxia...@corp.netease.commailto:hzmaxia...@corp.netease.com wrote: 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.commailto:hzmaxia...@corp.netease.com The JIRA related to this issue is https://issues.apache.org/jira/browse/SPARK-5111
Re: Where to find Spark-project-hive
Xiaoyo, In SPARK-8064 I've been working on getting spark hive working against Hive 1.2.1; targeting spark 1.5 that should pick up the Hive fix automatically —though we need to get the sql/hive tests all working first, and there aren't any tests backed by minikdc to verify secure operation On 22 Jul 2015, at 18:57, Xiaoyu Ma hzmaxia...@corp.netease.commailto:hzmaxia...@corp.netease.com wrote: 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.commailto:hzmaxia...@corp.netease.com
Re: Shouldn't SparseVector constructor give error when declared number of elements less than array lenght?
Hi,
I think this should raise an error both in the scala code and python API.
Please open a JIRA.
On Thu, Jul 23, 2015 at 4:22 PM, Andrew Vykhodtsev yoz...@gmail.com wrote:
Dear Developers,
I found that one can create SparseVector inconsistently and it will lead
to an Java error in runtime, for example when training
LogisticRegressionWithSGD.
Here is the test case:
In [2]:
sc.version
Out[2]:
u'1.3.1'
In [13]:
from pyspark.mllib.linalg import SparseVector
from pyspark.mllib.regression import LabeledPoint
from pyspark.mllib.classification import LogisticRegressionWithSGD
In [3]:
x = SparseVector(2, {1:1, 2:2, 3:3, 4:4, 5:5})
In [10]:
l = LabeledPoint(0, x)
In [12]:
r = sc.parallelize([l])
In [14]:
m = LogisticRegressionWithSGD.train(r)
Error:
Py4JJavaError: An error occurred while calling
o86.trainLogisticRegressionModelWithSGD.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 7
in stage 11.0 failed 1 times, most recent failure: Lost task 7.0 in stage
11.0 (TID 47, localhost): *java.lang.ArrayIndexOutOfBoundsException: 2*
Attached is the notebook with the scenario and the full message:
Should I raise a JIRA for this (forgive me if there is such a JIRA and I did
not notice it)
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