I'm trying to learn Hive. Surprisingly, I can't find an example of how to write a simple word count job. Is the following correct?
Let's say I have an input file input.tsv:
hello, world
this is an example input file
I create a splitter in Python to turn each line into words:
import sys
for line in sys.stdin:
for word in line.split():
print word
And then I have the following in my Hive script:
CREATE TABLE input (line STRING);
LOAD DATA LOCAL INPATH 'input.tsv' OVERWRITE INTO TABLE input;
-- temporary table to hold words...
CREATE TABLE words (word STRING);
add file splitter.py;
INSERT OVERWRITE TABLE words
SELECT TRANSFORM(text)
USING 'python splitter.py'
AS word
FROM input;
SELECT word, count(*) AS count FROM words GROUP BY word;
I'm not sure if I'm missing something, or if it really is this complicated. (In particular, do I need the temporary words table, and do I need to write the external splitter function?)
If you want a simple one see the following:
SELECT word, COUNT(*) FROM input LATERAL VIEW explode(split(text, ' ')) lTable as word GROUP BY word;
I use a lateral view to enable the use of a table valued function (explode) which takes the list that comes out of split function and outputs a new row for every value. In practice I use a UDF that wraps IBM's ICU4J word breaker. I generally don't use transform scripts and use UDFs for everything. You don't need a temporary words table.
CREATE TABLE docs (line STRING);
LOAD DATA INPATH 'text' OVERWRITE INTO TABLE docs;
CREATE TABLE word_counts AS
SELECT word, count(1) AS count FROM
(SELECT explode(split(line, '\s')) AS word FROM docs) w
GROUP BY word
ORDER BY word;
You may sentences built-in UDF in hive as follows:
1) Step 1: Create a temp table with a single column named sentence of data type array
create table temp as select sentence from docs lateral view explode(explode(sentences(lcase(line)))) ltable as sentence
2) Step 2: Select your words from the temp table again exploding the column sentence
select words,count(words) CntWords from
(
select explode(words) words from temp
) i group by words order by CntWords desc
Related
I've got a similar table which I'm trying to pivot in Redshift:
UUID
Key
Value
a123
Key1
Val1
b123
Key2
Val2
c123
Key3
Val3
Currently I'm using following code to pivot it and it works fine. However, when I replace the IN part with subquery it throws an error.
select *
from (select UUID ,"Key", value from tbl) PIVOT (max(value) for "key" in (
'Key1',
'Key2',
'Key3
))
Question: What's the best way to replace the IN part with sub query which takes distinct values from Key column?
What I am trying to achieve;
select *
from (select UUID ,"Key", value from tbl) PIVOT (max(value) for "key" in (
select distinct "keys" from tbl
))
From the Redshift documentation - "The PIVOT IN list values cannot be column references or sub-queries. Each value must be type compatible with the FOR column reference." See: https://docs.aws.amazon.com/redshift/latest/dg/r_FROM_clause-pivot-unpivot-examples.html
So I think this will need to be done as a sequence of 2 queries. You likely can do this in a stored procedure if you need it as a single command.
Updated with requested stored procedure with results to a cursor example:
In order to make this supportable by you I'll add some background info and description of how this works. First off a stored procedure cannot produce results strait to your bench. It can either store the results in a (temp) table or to a named cursor. A cursor is just storing the results of a query on the leader node where they wait to be fetched. The lifespan of the cursor is the current transaction so a commit or rollback will delete the cursor.
Here's what you want to happen as individual SQL statements but first lets set up the test data:
create table test (UUID varchar(16), Key varchar(16), Value varchar(16));
insert into test values
('a123', 'Key1', 'Val1'),
('b123', 'Key2', 'Val2'),
('c123', 'Key3', 'Val3');
The actions you want to perform are first to create a string for the PIVOT clause IN list like so:
select '\'' || listagg(distinct "key",'\',\'') || '\'' from test;
Then you want to take this string and insert it into your PIVOT query which should look like this:
select *
from (select UUID, "Key", value from test)
PIVOT (max(value) for "key" in ( 'Key1', 'Key2', 'Key3')
);
But doing this in the bench will mean taking the result of one query and copy/paste-ing into a second query and you want this to happen automatically. Unfortunately Redshift does allow sub-queries in PIVOT statement for the reason given above.
We can take the result of one query and use it to construct and run another query in a stored procedure. Here's such a store procedure:
CREATE OR REPLACE procedure pivot_on_all_keys(curs1 INOUT refcursor)
AS
$$
DECLARE
row record;
BEGIN
select into row '\'' || listagg(distinct "key",'\',\'') || '\'' as keys from test;
OPEN curs1 for EXECUTE 'select *
from (select UUID, "Key", value from test)
PIVOT (max(value) for "key" in ( ' || row.keys || ' )
);';
END;
$$ LANGUAGE plpgsql;
What this procedure does is define and populate a "record" (1 row of data) called "row" with the result of the query that produces the IN list. Next it opens a cursor, whose name is provided by the calling command, with the contents of the PIVOT query which uses the IN list from the record "row". Done.
When executed (by running call) this function will produce a cursor on the leader node that contains the result of the PIVOT query. In this stored procedure the name of the cursor to create is passed to the function as a string.
call pivot_on_all_keys('mycursor');
All that needs to be done at this point is to "fetch" the data from the named cursor. This is done with the FETCH command.
fetch all from mycursor;
I prototyped this on a single node Redshift cluster and "FETCH ALL" is not supported at this configuration so I had to use "FETCH 1000". So if you are also on a single node cluster you will need to use:
fetch 1000 from mycursor;
The last point to note is that the cursor "mycursor" now exists and if you tried to rerun the stored procedure it will fail. You could pass a different name to the procedure (making another cursor) or you could end the transaction (END, COMMIT, or ROLLBACK) or you could close the cursor using CLOSE. Once the cursor is destroyed you can use the same name for a new cursor. If you wanted this to be repeatable you could run this batch of commands:
call pivot_on_all_keys('mycursor'); fetch all from mycursor; close mycursor;
Remember that the cursor has a lifespan of the current transaction so any action that ends the transaction will destroy the cursor. If you have AUTOCOMMIT enable in your bench this will insert COMMITs destroying the cursor (you can run the CALL and FETCH in a batch to prevent this in many benches). Also some commands perform an implicit COMMIT and will also destroy the cursor (like TRUNCATE).
For these reasons, and depending on what else you need to do around the PIVOT query, you may want to have the stored procedure write to a temp table instead of a cursor. Then the temp table can be queried for the results. A temp table has a lifespan of the session so is a little stickier but is a little less efficient as a table needs to be created, the result of the PIVOT query needs to be written to the compute nodes, and then the results have to be sent to the leader node to produce the desired output. Just need to pick the right tool for the job.
===================================
To populate a table within a stored procedure you can just execute the commands. The whole thing will look like:
CREATE OR REPLACE procedure pivot_on_all_keys()
AS
$$
DECLARE
row record;
BEGIN
select into row '\'' || listagg(distinct "key",'\',\'') || '\'' as keys from test;
EXECUTE 'drop table if exists test_stage;';
EXECUTE 'create table test_stage AS select *
from (select UUID, "Key", value from test)
PIVOT (max(value) for "key" in ( ' || row.keys || ' )
);';
END;
$$ LANGUAGE plpgsql;
call pivot_on_all_keys();
select * from test_stage;
If you want this new table to have keys for optimizing downstream queries you will want to create the table in one statement then insert into it but this is quickie path.
A little off-topic, but I wonder why Amazon couldn't introduce a simpler syntax for pivot. IMO, if GROUP BY is replaced by PIVOT BY, it can give enough hint to the interpreter to transform rows into columns. For example:
SELECT partname, avg(price) as avg_price FROM Part GROUP BY partname;
can be written as:
SELECT partname, avg(price) as avg_price FROM Part PIVOT BY partname;
Even multi-level pivoting can also be handled in the same syntax.
SELECT year, partname, avg(price) as avg_price FROM Part PIVOT BY year, partname;
I'm trying to get substring dynamically and group by it. So if my uri column contains records like: /uri1/uri2 and /somelongword/someotherlongword I would like to get everything up to second delimiter, namely up to second / and count it. I'm using this query but obviously it is cutting string statically (6 letters after the first one).
SELECT substr(uri, 1, 6) as URI,
COUNT(*) as COUNTER
FROM staging
GROUP BY substr(uri, 1, 6)
ORDER BY COUNTER DESC
How can I achieve that?
You can use combination of SUBSTRING() and POSITION()
schema:
CREATE TABLE Table1
(`uri` varchar(10))
;
INSERT INTO Table1
(`uri`)
VALUES
('some/text'),
('some/text1'),
('some/text2'),
('aa/bb'),
('aa/cc'),
('bb/cc')
;
query
SELECT
SUBSTRING(uri,1,POSITION('/' IN uri)-1),
COUNT(*)
FROM Table1
GROUP BY SUBSTRING(uri,1,POSITION('/' IN uri)-1);
http://sqlfiddle.com/#!9/293dd3/3/0
edit: here I found amazon athena documentation: https://docs.aws.amazon.com/athena/latest/ug/presto-functions.html and here is the string function documentation: https://prestodb.io/docs/0.217/functions/string.html
my answer above still stands, but you might need to change SUBSTRING to SUBSTR
edit 2: it seems there's a special function to achieve this in amazon athena called SPLIT_PART()
query:
SELECT SPLIT_PART(uri, '/', 1), COUNT(*) FROM tbl GROUP BY SPLIT_PART(uri, '/', 1)
from docs:
split_part(string, delimiter, index) → varchar
Splits string on delimiter and returns the field index. Field indexes start with 1. If the index is larger than than the number of fields, then null is returned.
I am trying to add a string '_$' to a index name and a table name as follows. I need to use a method 'regexp_replace' in SELECT statement.
select regexp_replace(input_string......)
# Input
CREATE UNIQUE INDEX "SCOTT"."PK_EMP" ON "SCOTT"."EMP" ("EMP_NO")
# Desired Output
CREATE UNIQUE INDEX "SCOTT"."PK_EMP_$" ON "SCOTT"."EMP_$" ("EMP_NO")
Can you help me to build a regular expression for that?
Fairly brute solution would be using the following pattern:
(.*)(" ON ".*)(" \(.*)
with the following replace string:
\1_$\2_$\3
The pattern works by splitting the input in the places where you need to insert the _$ token, and then joining it back placing the tokens in the places we split the input:
CREATE UNIQUE INDEX "SCOTT"."PK_EMP|" ON "SCOTT"."EMP|" ("EMP_NO")
Full SELECT query would look like that:
SELECT REGEXP_REPLACE(
'CREATE UNIQUE INDEX "SCOTT"."PK_EMP" ON "SCOTT"."EMP" ("EMP_NO")',
'(.*)(" ON ".*)(" \(.*)',
'\1_$\2_$\3'
) RX
FROM dual;
How to get all the table names from the below Sql? My sql returns only the last table name.
with t as
(select 'select col1,
(select max(col3) from dd3) max_timestamp
from dd1,
dd2
where dd1.col1 = dd2.col1
and dd1.col1 in(select col1 from dd4)' sql_text from dual)
select regexp_substr(regexp_substr(upper(sql_text), '\sFROM\s*(\w|\.|_)*'), '(\w|_|\.)+', 1,2)
from t
Thanks,
DD.
This is a more of a regex question than an Oracle question.
If you can run the sql through REPLACE(REPLACE(sql,CHR(13),' '),CHR(10),NULL) to replace all newlines with a space, so that the query fits on a single line, here is regex that will return all the tables in group 1 (for the ones after FROM) and group 3 for subsequent items in a list:
/FROM ([A-Z0-9$#_]+)(,[\s]*([A-Z0-9$#_]+))*/gi
Having multiple groups is not ideal, so I would look at the full match instead, see https://regex101.com/r/OZUalH/1/ for an example (see full match on the right, where every match has from followed by one or more tables).
But let me warn you this is not going to be robust, as these valid FROM clause expressions are not handled:
"my_table"
MY_TABLE AS A
MY_TABLE AS "a"
etc...
If it were me, I would write a function to run the query through explain plan (execute immediate 'explain plan for ...') and extract the tables from the plan tables (or possibly using SYS.DBMS_XPLAN)
I have a large table key(keyid,data) . In this table data consists of a text separated by /.
Eg x/y/z . I wish to extract the 2nd field (in the example y) for all the values stored in datails column in the table.
I tried using these
dblp1=# select regexp_split_to_array((select key from keytable),'/') as key_split;
ERROR: more than one row returned by a subquery used as an expression
dblp1=# SELECT split_part((select key from keytable), '/', 2);
ERROR: more than one row returned by a subquery used as an expression
Both work on single string .
Pretty close. You need the function to be wrapped right around the column name, like so:
select split_part(key, '/', 2) from keytable;