I have a table with a few million rows of data that looks like this:
+---------------+--------------+-------------------+
| page | search_term | interactions |
+---------------+--------------+-------------------+
| /mom | pizza | 15 |
| /dad | pizza | 8 |
| /uncle | pizza | 2 |
| /brother | pizza | 7 |
| /mom | pasta | 12 |
| /dad | pasta | 23 |
+---------------+--------------+-------------------+
My goal is to run a HiveQL Query that will return the largest 'interactions' number for each unique page/term combo. For example:
+---------------+--------------+-------------------+
| page | search_term | interactions |
+---------------+--------------+-------------------+
| /dad | pasta | 23 |
| /mom | pizza | 15 |
+---------------+--------------+-------------------+
How would I write this considering that each unique page has hundreds of thousands of search_terms, but I only want to pull the one search_term with the most interactions?
I have tried using max(interactions) and max(struct(interactions, search_term)).col1 but have had no luck. My output is consistently giving me all of the search_terms for each page no matter how many interactions.
Thanks!
Use row_number() analytic function:
select page, search_term, interactions
from
(select page, search_term, interactions,
row_number() over (partition by page order by interactions desc ) rn
)s
where rn = 1;
Related
I'm trying to fill a table with data to test a system.
I have two tables
User
+----+----------+
| id | name |
+----+----------+
| 1 | Majikaja |
| 2 | User 2 |
| 3 | Markus |
+----+----------+
Goal
+----+----------+---------+
| id | goal | user_id |
+----+----------+---------+
I want to insert into goal one record for every user only using their IDs (they have to exists) and some fixed or random value.
I was thinking in something like this:
INSERT INTO Goal (goal, user_id) values ('Fixed value', select u.id from user u)
So it will generate:
Goal
+----+-------------+---------+
| id | goal | user_id |
+----+-------------+---------+
| 1 | Fixed value | 1 |
| 2 | Fixed value | 2 |
| 3 | Fixed value | 3 |
+----+-------------+---------+
I could just write a simple PHP script to achieve it but I wonder if is it possible to do using raw SQL only.
I have two tables products and product_attributs. One Product can have one or many attributs and these are filled by a dynamic web form (name and value inputs) added by the user as needed. For example for a drill the user could decide to add two attributs : color=blue and power=100 watts. For another product it could be 3 or more different attribus and for another it could have no special attributs.
products
| id | name | identifier | identifier_type | active
| ----------|--------------|-------------|------------------|---
| 1 | Drill | AD44 | barcode | true
| 2 | Polisher | AP211C | barcode | true
| 3 | Jackhammer | AJ2133 | barcode | false
| 4 | Screwdriver | AS4778 | RFID | true
product_attributs
|id | name | value | product_id
|----------|--------------|-------------|----------
|1 | color | blue | 1
|2 | power | 100 watts | 1
|3 | size | 40 cm | 2
|4 | energy | electrical | 3
|4 | price | 35€ | 3
so attributs could be anything which are set dynamically by the user. My need is to generate a report on CSV which contain all products with their attributs. Without a good experience in SQL I generated the following basic request :
SELECT pr.name, pr.identifier_type, pr.identifier, pr.active, att.name, att.value
FROM products as pr
LEFT JOIN product_attributs att ON pr.id = att.product_id
as you know the result will contain for the same product as many rows as attributs it has and this is not ideal for reporting. The ideal would be this :
|name | identifier_type | identifier | active | name | value | name | value
|-----------|-----------------|------------|--------|--------|-------|------ |------
|Drill | barcode | AD44 | true | color | blue | power | 100 w
|Polisher | barcode | AP211C | true | size | 40 cm | null | null
|Jackhammer | barcode | AJ2133 | true | energy | elect | price | 35 €
|Screwdriver| barcode | AS4778 | true | null | null | null | null
here I only showed a max of two attributes per product but it could be more if needed. Well I did some research and came across the pivot with crosstab function on Postgres but the problem it requests static values but this does not match my need.
thanks lot for your help and sorry for duplicates if any.
Thanks Laurenz Albe for your help. array_agg solved my problem. Here is the query if someone may be interested in :
SELECT
pr.name, pr.description, pr.identifier_type, pr.identifier,
pr.internal_identifier, pr.active,
ARRAY_TO_STRING(ARRAY_AGG (oa.name || ' = ' || oa.value),', ') attributs
FROM
products pr
LEFT JOIN product_attributs oa ON pr.id = oa.product_id
GROUP BY
pr.name, pr.description, pr.identifier_type, pr.identifier,
pr.internal_identifier, pr.active
ORDER BY
pr.name;
I calculate my metrics with SQL and publish the resulting table to Tableau Server. Afterward, use this data source to create charts and dashboards.
For one analysis, I already calculated the measures per day with SQL. When I use the resulting table in Tableau, it aggregates these measures to SUM by default. However, I don't want to have SUM or AVG of the average or SUM of the Percentiles.
What I want is the result when I don't select date dimension and not GROUP BY date in SQL as attached below.
Here is the query:
SELECT
-- date,
COUNT(DISTINCT id) AS count_of_id,
AVG(timediff_in_sec) AS avg_timediff,
PERCENTILE_CONT(0.25) WITHIN GROUP(ORDER BY timediff_in_sec) AS percentile_25,
PERCENTILE_CONT(0.50) WITHIN GROUP(ORDER BY timediff_in_sec) AS percentile_50
FROM
(
--subquery
) AS t1
-- GROUP BY date
Here are the first 10 rows of the resulting table:
+------------+--------------+-------------+---------------+---------------+
| date | avg_timediff | count_of_id | percentile_25 | percentile_50 |
+------------+--------------+-------------+---------------+---------------+
| 10/06/2020 | 61,65186364 | 22 | 8,5765 | 13,3015 |
| 11/06/2020 | 127,2913333 | 3 | 15,6045 | 17,494 |
| 12/06/2020 | 306,0348214 | 28 | 12,2565 | 17,629 |
| 13/06/2020 | 13,2664 | 5 | 11,944 | 13,862 |
| 14/06/2020 | 16,728 | 7 | 14,021 | 17,187 |
| 15/06/2020 | 398,6424595 | 37 | 11,893 | 19,271 |
| 16/06/2020 | 293,6925152 | 33 | 12,527 | 17,134 |
| 17/06/2020 | 155,6554286 | 21 | 13,452 | 16,715 |
| 18/06/2020 | 383,8101429 | 7 | 266,048 | 493,722 |
+------------+--------------+-------------+---------------+---------------+
How can I achieve the desired output above?
Drag them all into the dimensions list, then they will be static dimensions. For your use you could also just drag the Date field to Rows. Aggregating 1 value, which you have for each date, returns the same value whatever the aggregation type.
I am struggling to do a loop on a Postgres, but functions on postgres are not my piece of cake.
I have the following table on postgres:
| portfolio_1 | total_risk |
|----------------|------------|
| Top 10 Bets | |
| AAPL34 | 2,06699 |
| DISB34 | 1,712684 |
| PETR4 | 0,753324 |
| PETR3 | 0,087767 |
| VALE3 | 0,086346 |
| LREN3 | 0,055108 |
| AMZO34 | 0,0 |
| Bottom 10 Bets | |
| AAPL34 | 0,0 |
What I'm trying to do is get the values after the "Top 10 Bets" and before the "Botton 10 Bets".
My goal is the following result:
| portfolio_1 | total_risk |
|-------------|------------|
| AAPL34 | 2,06699 |
| DISB34 | 1,712684 |
| PETR4 | 0,753324 |
| PETR3 | 0,087767 |
| VALE3 | 0,086346 |
| LREN3 | 0,055108 |
| AMZO34 | 0,0 |
So, my goal is to take off the "Top 10 Bets", the "Botton 10 Bets" and the AAPL34 after the "Botton 10 Bets", which was repeated.
The quantity of rows is variable (I'm importing it from an Excel file), so I need a loop to do this, right?
SQL tables and result sets represent unordered sets. There is no "before" or "after" unless rows explicitly provide that information.
Let me assume that you have such a column, which I will call id for convenience.
Then you can do this in several ways. Here is one:
select t.*
from t
where t.id > (select min(t2.id) from t t2 where t2.portfolio_1 = 'Top 10 Bets') and
t.id < (select max(t2.id) from t t2 where t2.portfolio_1 = 'Bottom 10 Bets');
Trying to scale this down so the answer is simple. I can probably extrapolate the answers here to apply to a bigger data set.
Given the following table:
+------+-----+
| name | age |
+------+-----+
| a | 5 |
| b | 7 |
| c | 8 |
| d | 8 |
| e | 10 |
+------+-----+
I want to make a table that shows the count of people where their age is equal to or greater than x. For instance, the table about would produce:
+--------------+-------+
| at least age | count |
+--------------+-------+
| 5 | 5 |
| 6 | 4 |
| 7 | 4 |
| 8 | 3 |
| 9 | 1 |
| 10 | 1 |
+--------------+-------+
Is there a single query that can accomplish this task? Obviously, it is easy to write a simple function for it, but I'm hoping to be able to do this quickly with one query.
Thanks!
Yes, what you're looking for is a window function.
with cte_age_count as (
select age,
count(*) c_star
from people
group by age)
select age,
sum(c_star) over (order by age
range between unbounded preceding
and current row)
from cte_age_count
Not syntax checked ... let me know if it works!