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from sklearn.feature_extraction import stop_words

print(stop_words.ENGLISH_STOP_WORDS)

currently there are 318 words in that frozenset.

NLTK also has its own stopwords


from nltk.corpus import stopwords
print(stopwords.words('english'))

there are 153 words in that


select a/sum(a) from foo; -- WRONG!

will not work because sum(a) would work on each row and will return the number present in that row resulting in all 1. since sum(n) = n where n is a single number.

here is where we can make good use of  hive windowing and analytics functions.

the solution is to use the following:


select a/sum(a) over () from foo; -- RIGHT !!!

here we are instructing that the sum be performed over the entire column ‘a’.

you could of course make 2 queries and calculate the sum of a first and then hardcode the sum in another query but that means you are performing 2 passes over the table for sure. now i can’t be sure how many passes over the table are being made in the right query above. if you know the answer please post in the comments below.

It has been a while since I played with Archlinux. Meanwhile AUR has transitioned and now uses version controlled PKGBUILDs. So here is how to go about it.

Let us take the example of the package cower.

If you visit that page you will find a “Download snapshot” link under the Package Actions box to the right of the page near the top of the page. Just click on it and you will download a compressed tarball; cower.tar.gz in this case. Uncompress that to find the actual PKGBUILD in it. I also noticed a hidden file called .SRCINFO in the same folder. Now you can simply issue the command “makepkg -irs” in the same directory and you are all set.

The other way is to git clone the repo. The repo link is right at the top of the page under Git Clone URL. If you clone the repo you will find the PKGBUILD and .SRCINFO and .git directory in there. Again use “makepkg -irs” to install the package.

If one launches Hive using the “-S” or “–silent” option then Hive does not print progress information. However if you are already inside the Hive command line shell then you can control this behaviour by setting the value of silent.


set silent=on; -- make hive silent

set silent=false; -- make hive print progress information

 

window functions allow one to look at the previous values or next values of a column. for example if i want to subtract the previous row value from the current row value then window functions lag and lead can be used.

let us take up an example.

first create a text file containing numbers 1 through 9 with a single number on each line like so


1

2

3

.

.

9

call the file data.txt.

next we create a table in hive.


create table foo (a int);

next we load our data.txt file in to this created table using the following


load data local inpath 'data.txt' overwrite into table foo;

we want to access previous and next values over column ‘a’ note therefore the over clause in the following query


select lag(a, 1) over (order by a) as previous, a, lead(a, 1) over (order by a) as next from foo;

which outputs the following:


previous a next
NULL 1 2
1 2 3
2 3 4
3 4 5
4 5 6
5 6 7
6 7 8
7 8 9
8 9 NULL

note how the previous and next values are NULL at the edge cases. You could specify a value in such cases as in the following query which specifies 0.


select lag(a, 1, 0) over (order by a) as previous, a, lead(a, 1, 0) over (order by a) as next from foo;

which outputs the following:


previous a next
0 1 2
1 2 3
2 3 4
3 4 5
4 5 6
5 6 7
6 7 8
7 8 9
8 9 0

lag(a, 1) will fetch the previous value while lag(a, 2) will fetch the previous to previous value.

case matters.

had created table as such

create table foo(

a int,

b string

) stored as orc tblproperties(“orc.compress”=”snappy”);

but when i went to populate the table using an “insert overwrite table foo select * from …” statement then i faced an error.

turns out i should have used “SNAPPY” instead of “snappy”. case matters.

https://cwiki.apache.org/confluence/display/Hive/LanguageManual+ORC

if you do not want to apply markdown formatting rules to a chunk of text then wrap them in following tags.

opening tag: “`text i.e. 3 backtics followed by the word text

closing tag: “` 3 backticks

this will give you unformatted text and displays it in exactly the form it was typed in.

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