Hi,
This is Kumar, and this is my first question in this group.
I have a requirement to implement ROW_NUMBER() from Teradata in Hive where partitioning happens
on multiple columns along with multiple column ordering.
It can be easily implemented in Hadoop MR, but I have to do in Hive. By doing in UDF can assign
same rank to grouping key considering dataset is small, but ordering need to be done
I’m curious what the status of implementing hive analytics functions in
spark.
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+WindowingAndAnalytics
Many of these seem missing. I’m assuming they’re not implemented yet?
Is there an ETA on them?
or am I the first to bring this up? :-P
Founder/CEO Spinn3r.com
Location: *San Francisco, CA*
blog: http://burtonator
I need to create a view, about a ranking.
The select from which I generate the view has a "ORDER BY" and I need
to have a column in that select that shows the position of the object
in that ranking.
I have searched on google, and I have found that it's possibile to do
it using the SET command and using variables.. but I don't think in a
VIEW I can use variables and SET.
Any idea?
Thanks
Hi All,
Is there any approach to support the *QUALIFY* SQL key word, or any
workaround?
Like the SQL statement below,
SELECT id, col1, col2, ROW_NUMBER() OVER(PARTITION BY col3 ORDER BY col1
ASC) AS Rwn FROM table_name *QUALIFY Rwn=1;*
Currently impala supports the row_number() over(...) analytic function,
http://www.cloudera.com/content/cloudera/en/documentation/cloudera-impala/latest
Hi,
=20
Is there a hive equivalent to Oracle's rownum, row_number() or the abili=
ty to
loop through a resultset?
=20
I have been struggling to create a hive query that will give me max X
records, per something, when sorted by something. For example, I have=
book
data, multiple records for any given isbn, and want the lowest 5 priced=
books
per isbn.
=20
I can accomplish this in oracle with
Hi Experts,
I'm working with Teradata query conversion to hive environment (Hive
version 0.10.0).The challenge that am facing here is in converting the
below line in query.
In SELECT clause:
ROW_NUMBER() OVER (PARTITION BY CLMST_KEY2
ORDER BY COUNTER) AS CLMST_ORDR_NBR
When searched found like instead of ROW_NUMBER() I can go with
ROW_SEQUENCE using UDF. what to do with OVER clause and
Hi,
select row_number() over (PARTITION BY
country,state,department,branch_name) from Employee_details;
select count(*) over (PARTITION BY country,state,department,branch_name)
from Employee_details;
These queries throw Error when Employee_details table has zero rows
They work great if the table is not Empty.
Is there any Limitation using this UDF's with Null Input? Please Help me
guys
I have a products table with below schema
(ProductID INT, ProductStartDate date, ProductExpDate date, ProductTypeID int, #PacketsInProduct int, Price int, Discount int, Score int)
I need to write a query something like this in MongoDB. I am using C# driver 1.5. The problem I am getting in first CTE below (Products_CTE) where Row_NUMBER() is deciding the product rank which is matching my where
The following SQL will run very slow due to skew values in skew_col column:
select row_number() over (partition by skew_col) from some_table;
Is there any way to optimize it?
Thanks
Hi All,
I want to do this in Pig.
"row_number() over (partition by col1 order by col2)"
Any suggestions how I can do this? I know I can do group by instead of
partition by and order by in Pig. But is there is any function with which I
can generate row number() or rank() as we can do in SQL?
Thanks for any help and suggestions.
Sonia