Why dont you try implementing that and contributing it to community ?
Sent from my iPhone
On Jul 17, 2013, at 10:18 PM, "Omkar Joshi" wrote:
> I read of the term ‘JDBC Storage Handler’ at
> https://issues.apache.org/jira/browse/HIVE-1555
>
> The issues seems open but I just want to confirm
I read of the term 'JDBC Storage Handler' at
https://issues.apache.org/jira/browse/HIVE-1555
The issues seems open but I just want to confirm that it has not been
implemented in the latest Hive releases.
Regards,
Omkar Joshi
From: Bertrand Dechoux [mailto:decho...@gmail.com]
Sent: Thursday, Ju
The short answer is no. You could at the moment write your own input
format/output format in order to do so. I don't know all the details for
hive but that's possible. However, you will likely run a DOS against your
database if you are not careful. Hive could embed sqoop in order do that
smartly fo
Hi,
Currently, I'm executing the following steps(Hadoop 1.1.2, Hive 0.11 and
Sqoop-1.4.3.bin__hadoop-1.0.0) :
1.Import data from MySQL to Hive using Sqoop
2.Execute a query in Hive and store its output in a Hive table
3.Export the output to MySQL using Sqoop
I was wondering if it
Put them in hive's lib folder?
Sent from my Rotary Phone
On Jul 17, 2013, at 11:14 PM, Mitesh Peshave wrote:
> Hello,
>
> I am trying to use a custom inputformat for a hive table.
>
> When I add the jar containing the custom inputformat through a client, such
> as the beeline, executing "ad
Hello,
I am trying to use a custom inputformat for a hive table.
When I add the jar containing the custom inputformat through a client, such
as the beeline, executing "add jar" command, all seems to work fine. In
this scenario, hive seems to pass inputformat class to the JT and TTs. I
believe, it
It is unlikely to be specifically caused by where clause.
Are you able to run this query using hive cli ?
Are you able to run any query that involves running a MR job through jdbc ?
What do you see in the hive logs ?
On Tue, Jul 16, 2013 at 1:10 AM, ch huang wrote:
> here is my test output,why t
Hi,
I'm running a query like this:
CREATE TABLE foo
STORED AS ORC
AS
SELECT
id,
season,
amount,
ntile(10)
OVER (
PARTITION BY season
ORDER BY amount DESC
)
FROM bar;
On a small enough dataset that works fine but when switching to a
larger sample we're seeing exceptions like this:
Hey Saurabh,
I tried this command and it still gives the same error. Actually the folder
name is supplier and supplier.tbl is the csv which resided inside it. I had
it correct in the query but in mail it is wrong. So the query that I
executed was:
create external table outside_supplier (S_SUPPK
Hi Mainak,
Can you try using this:
create external table outside_supplier (S_SUPPKEY INT, S_NAME STRING,
S_ADDRESS STRING, S_NATIONKEY INT, S_PHONE STRING, S_ACCTBAL DOUBLE,
S_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS
TEXTFILE LOCATION 'file:///mnt/h/tpc-h-impala/da
Hello,
I have just started using Hive and I was trying to create an external table
with the csv file placed in NFS. I tried using file:// and local://. Both
of these attempts failed with the error:
create external table outside_supplier (S_SUPPKEY INT, S_NAME STRING,
S_ADDRESS STRING, S_NATIONK
You could also take a look the flowing resources for data science:
http://datascienc.es/resources/
http://blog.zipfianacademy.com/
Regards,
Xiufeng Liu
On Wed, Jul 17, 2013 at 10:09 PM, Yasmin Lucero wrote:
> Ha. I have the same problem. It is hard to find resources aimed at the
> right level
Ha. I have the same problem. It is hard to find resources aimed at the
right level. I have been pretty happy with the book Head First Java by
Kathy Sierra and Bert someone er other.
y
Yasmin Lucero
Senior Statistician, Gravity.com
Santa
The Data Science course on Coursera has a pretty good overview of map
reduce, Hive, and Pig without going into the Java side of things.
https://www.coursera.org/course/datasci. It's not in depth, but it is
enough to get started.
On Wed, Jul 17, 2013 at 3:52 PM, John Omernik wrote:
> Hey all -
>
Hey all -
I was wondering if there were any "shortcut" Java courses out there. As
in, I am not looking for a holistic learn everything about Java course, but
more of a "So you are a big data/hive geek and you get Python/Perl pretty
well, but when you try to understand Java your head explodes and
Great. Good luck with that.
Warm Regards,
Tariq
cloudfront.blogspot.com
On Thu, Jul 18, 2013 at 12:43 AM, Bharati Adkar <
bharati.ad...@mparallelo.com> wrote:
> Hi Tariq,
>
> No Problems,
> It was the hive.jar.path property that was not being set. Figured it out
> and fixed it.
> Got the plan.x
Hi Tariq,
No Problems,
It was the hive.jar.path property that was not being set. Figured it out and
fixed it.
Got the plan.xml and jobconf.xml now will debug hadoop to get the rest of info.
Thanks,
Warm regards,
Bharati
On Jul 17, 2013, at 12:08 PM, Mohammad Tariq wrote:
> Hello ma'm,
>
> Ap
Hello ma'm,
Apologies first of all for responding so late. Stuck with some urgent
deliverables. Was out of touch for a while.
java.io.IOException: Cannot run program
"/Users/bharati/hive-0.11.0/src/testutils/hadoop" (in directory
"/Users/bharati/eclipse/tutorial/src"): error=13, Permission denied
I use data to generates reports on daily basis, Do couple of analysis and
its insert once and read many on daily basis. But My main purpose is to
secure my data and easily recover it even if my hadoop(datanode) OR HDFS
crashes. As uptill now, i'm using approach in which data has been retrieved
dir
First of all, that might not be the right approach to choose the underlying
storage. You should choose HDFS or HBase depending on whether the data is
going to be used for batch processing or you need random access on top of
it. HBase is just another layer on top of HDFS. So obviously the queries
ru
what's the purpose of data storage?
whats the read and write throughput you expect?
whats the way you will access data while read?
whats are your SLAs on both read and write?
there will be more questions others will ask so be ready for that :)
On Wed, Jul 17, 2013 at 11:10 PM, Hamza Asad wrote
Please let me knw which approach is better. Either i save my data directly
to HDFS and run hive (shark) queries over it OR store my data in HBASE, and
then query it.. as i want to ensure efficient data retrieval and data
remains safe and can easily recover if hadoop crashes.
--
*Muhammad Hamza As
Hi,
There are many online tutorials and blogs to provide quick get-set-go sort of
information. To start with you can learn Hadoop. For detailed knowledge you
will have to go through e-books as mentioned by Lefty.
These books are bulky but will provide every bit of hadoop.
I recently came across
my bad ... in relational databases we generally do not give a column name
inside rank() ... but the one in (partition by order by..) is
sufficient.
But looks like that's not the case in Hive
Jerome,
Please look at the examples in link below. See if you are able to make it
work
https://cwi
Hi Richa,
I have tried one query, with what i've understand of Vijay's tips.
SELECT code_entite, RANK(mag.me_vente_ht) OVER (PARTITION BY mag.co_societe
ORDER BY mag.me_vente_ht) AS rank FROM default.thm_renta_rgrp_produits_n_1
mag;
This query is working, it gives me results.
You say that may
Vijay
Jerome has already passed column -> mag.co_societe for rank.
syntax -> RANK() OVER (PARTITION BY mag.co_societe ORDER BY
mag.me_vente_ht)
This will generate a rank for column mag.co_societe based on column value
me_vente_ht
Jerome,
Its possible you are also hitting the same bug as I menti
Hi Vijay,
Could you give me an example, i'm not sure of what you're meaning.
Thanks,
2013/7/17 Vijay
> As the error message states: "One ore more arguments are expected," you
> have to pass a column to the rank function.
>
>
> On Wed, Jul 17, 2013 at 1:12 AM, Jérôme Verdier <
> verdier.jerom.
As the error message states: "One ore more arguments are expected," you
have to pass a column to the rank function.
On Wed, Jul 17, 2013 at 1:12 AM, Jérôme Verdier
wrote:
> Hi Richa,
>
> I have tried a simple query without joins, etc
>
> SELECT RANK() OVER (PARTITION BY mag.co_societe ORDER
Hi Richa,
I have tried a simple query without joins, etc
SELECT RANK() OVER (PARTITION BY mag.co_societe ORDER BY
mag.me_vente_ht),mag.co_societe, mag.me_vente_ht FROM
default.thm_renta_rgrp_produits_n_1 mag;
Unfortunately, the error is the same like previously.
Error: Query returned non-ze
Hello Hive user,
I want to know if is there a way to export header line in select query, in
order to store the result in file (from local or HDFS directory)?
like this query result :
set hive.cli.print.header=true;
INSERT OVERWRITE LOCAL DIRECTORY 'C:\resultats\alerts_http_500\par_heure'
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