All,
I am new to Spark 2.2.1. I have a single node cluster and also have enabled
thriftserver for my Tableau application to connect to my persisted table.
I feel that the spark cluster metastore is different from the thrift-server
metastore. If this assumption is valid, what do I need to
=project%20%3D%20SPARK%20AND%20labels%20%3D%20Starter%20AND%20status%20in%20(Open%2C%20%22In%20Progress%22%2C%20Reopened)
.
On Wed, Sep 28, 2016 at 9:11 AM, Anirudh Muhnot wrote:
> Hello everyone, I'm Anirudh. I'm fairly new to spark as I've done an
> online specialisation from UC
Hello everyone, I'm Anirudh. I'm fairly new to spark as I've done an online
specialisation from UC Berkeley. I know how to code in Python but have little
to no idea about Scala. I want to contribute to Spark, Where do I start and
how? I'm reading the pull requests at Git Hub
; Log Type: stdout
>
> Log Upload Time: Sat Feb 13 11:00:08 + 2016
>
> Log Length: 23
>
> Pi is roughly 3.140224
>
>
> Hope that helps!
>
>
> On Sat, Feb 13, 2016 at 3:14 AM, Taylor, Ronald C
> wrote:
>
>> Hello folks,
>>
>> This is
t;
> This is my first msg to the list. New to Spark, and trying to run the
> SparkPi example shown in the Cloudera documentation. We have Cloudera
> 5.5.1 running on a small cluster at our lab, with Spark 1.5.
>
> My trial invocation is given below. The output that I get **says** that
Hello folks,
This is my first msg to the list. New to Spark, and trying to run the SparkPi
example shown in the Cloudera documentation. We have Cloudera 5.5.1 running on
a small cluster at our lab, with Spark 1.5.
My trial invocation is given below. The output that I get *says* that I
Have you tried the following command ?
REFRESH TABLE
Cheers
On Tue, Dec 1, 2015 at 1:54 AM, Ashok Kumar
wrote:
> Hi,
>
> I am new to Spark.
>
> I am trying to use spark-sql with SPARK CREATED and HIVE CREATED tables.
>
> I have successfully made Hive metastore to be
hive config, that would help to locate root cause for
the problem.
Best,
Sun.
fightf...@163.com
From: Ashok Kumar
Date: 2015-12-01 18:54
To: user@spark.apache.org
Subject: New to Spark
Hi,
I am new to Spark.
I am trying to use spark-sql with SPARK CREATED and HIVE CREATED tables.
I have
Hi,
I am new to Spark.
I am trying to use spark-sql with SPARK CREATED and HIVE CREATED tables.
I have successfully made Hive metastore to be used by Spark.
In spark-sql I can see the DDL for Hive tables. However, when I do select
count(1) from HIVE_TABLE it always returns zero rows.
If I
Hi,
I am new to Spark.
I am trying to use spark-sql with SPARK CREATED and HIVE CREATED tables.
I have successfully made Hive metastore to be used by Spark.
In spark-sql I can see the DDL for Hive tables. However, when I do select
count(1) from HIVE_TABLE it always returns zero rows.
If I create
t;
>>> To ensure that this works, the idea if to:
>>>
>>> 1) Filter the superset to relevant mines (done)
>>> 2) Group the subset by the unique identifier for the mine. So, a group
>>> may
>>> be
r(item <- tocks){
>if(line.contains(item)) found = true
> }
>found
> }).collect()
>
>
> Output:
> res8: Array[String] = Array(This contains EC-17A5206955089011B)
>
> Thanks
> Best Regards
&g
.contains(item)) found = true
}
found
}).collect()
Output:
res8: Array[String] = Array(This contains EC-17A5206955089011B)
Thanks
Best Regards
On Wed, Sep 9, 2015 at 3:25 PM, prachicsa wrote:
>
>
> I am very new to Spark.
>
> I have a very basic question. I have an
I am very new to Spark.
I have a very basic question. I have an array of values:
listofECtokens: Array[String] = Array(EC-17A5206955089011B,
EC-17A5206955089011A)
I want to filter an RDD for all of these token values. I tried the following
way:
val ECtokens = for (token <- listofECtok
t;> 3) I then want to ensure that the RDD is partitioned by the Mine
>> Identifier
>> (and Integer).
>>
>> It's step 3 that is confusing me. I suspect it's very easy ... do I simply
>> use PartitionByKey?
>>
>> We're using Java if that
).
>
> It's step 3 that is confusing me. I suspect it's very easy ... do I simply
> use PartitionByKey?
>
> We're using Java if that makes any difference.
>
> Thanks!
>
>
>
> --
>
want to ensure that the RDD is partitioned by the Mine Identifier
(and Integer).
It's step 3 that is confusing me. I suspect it's very easy ... do I simply
use PartitionByKey?
We're using Java if that makes any difference.
Thanks!
--
View this message in context:
http://apac
>>>> guides:
>>>>
>>>> http://spark.apache.org/docs/latest/quick-start.html
>>>> http://spark.apache.org/docs/latest/sql-programming-guide.html
>>>>
>>>> For Avro in particular, I have been working on a library for Spark
>>&
gest the programming
>>> guides:
>>>
>>> http://spark.apache.org/docs/latest/quick-start.html
>>> http://spark.apache.org/docs/latest/sql-programming-guide.html
>>>
>>> For Avro in particular, I have been working on a library for Spark SQL.
>&
amming-guide.html
>>
>> For Avro in particular, I have been working on a library for Spark SQL.
>> Its very early code, but you can find it here:
>> https://github.com/databricks/spark-avro
>>
>> Bug reports welcome!
>>
>> Michael
>>
>> On
have been working on a library for Spark SQL.
Its very early code, but you can find it here:
https://github.com/databricks/spark-avro
Bug reports welcome!
Michael
On Wed, Nov 19, 2014 at 1:02 PM, Sam Flint wrote:
> Hi,
>
> I am new to spark. I have began to read to understand sparks
Hi,
I am new to spark. I have began to read to understand sparks RDD files
as well as SparkSQL. My question is more on how to build out the RDD files
and best practices. I have data that is broken down by hour into files on
HDFS in avro format. Do I need to create a separate RDD for
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