I want to limit the number of result using JobSearchRestriction. I want to limit not by a condition, but by "hard coded" number. Somethig like "LIMIT 10".
Is it possible to do that in hybris using JobSearchRestriction?
Try this
SELECT * FROM {Product} LIMIT 10
or
SELECT TOP 10 * FROM {Product}
For Oracle
SELECT * FROM {Product} WHERE rownum <= 10
Though API
final FlexibleSearchQuery query = new FlexibleSearchQuery("SELECT * FROM {Product}");
query.setCount(10);
Is there a way to do the postgres equivalent of array_agg or string_agg in stream analytics? I have data that comes in every few seconds, and would like to get the count of the values within a time frame.
Data:
{time:12:01:01,name:A,location:X,value:10}
{time:12:01:01,name:B,location:X,value:9}
{time:12:01:02,name:C,location:Y,value:5}
{time:12:01:02,name:B,location:Y,value:4}
{time:12:01:03,name:B,location:Z,value:2}
{time:12:01:03,name:A,location:Z,value:3}
{time:12:01:06,name:B,location:Z,value:4}
{time:12:01:06,name:C,location:Z,value:7}
{time:12:01:08,name:B,location:Y,value:1}
{time:12:01:13,name:B,location:X,value:8}
With a sliding window of 2 seconds, I want to group the data to see the following:
12:01:01, 2 events, 9.5 avg, 2 distinct names, 1 distinct location, nameA:1, nameB:1, locationX:1
12:01:02, 4 events, 7 avg, 3 distinct names, 2 distinct location, nameA:1, nameB:2,nameC:1,locationX:1,locationY:1
12:01:03...
12:01:06...
...
I can get the number of events, average, and distinct counts without issue. I use a window as well as a with statement to join on the timestamp to get the aggregated counts for that timestamp. I am having trouble figuring out how to get the total counts by name and location, mostly because I do not know how to aggregate strings in Azure.
with agg1 as (
select system.timestamp as start,
avg(value) as avg,
count(1) as events,
count(distinct name) as distinct names,
count(distinct location) as distinct location
from input timestamp by created
group by slidingwindow(second,2)
),
agg2 as (
select agg2_inner.start,
array_agg(name,'|',ct_name) as countbyname (????)
from (
select system.timestamp as start,
name, count(1) as ct_name
from input timestamp by created
group by slidingwindow(second,2), name
) as agg2_inner
group by agg2_inner.start, slidingwindow(seconds,2)
)
select * from agg1 join agg2 on (datediff(second,agg1,agg2) between 0 and 2
and agg1.start = agg2.start)
There is not set list of names, locations so the query needs to be a bit dynamic. It is ok if the counts are in an object within a single query, a process later on can parse to get individual counts.
As far as I know, azure stream analysis doesn't provide the array_agg method. But it provides Collect method which could return the all record values from the window.
I suggest you could use Collect method firstly return the array which grouped by the time and window.
Then you could use Azure Stream Analytics JavaScript user-defined functions to write your own logic to convert the array to the result.
More details, you could refer to below sample:
The query like this:
SELECT
time, udf.yourunfname(COLLECT()) as Result
INTO
[YourOutputAlias]
FROM
[YourInputAlias]
Group by time, TumblingWindow(minute, 10)
The UDF is like this:
I just return the avg and the event length.
function main(InputJSON) {
var sum = 0;
for (i = 0; i < InputJSON.length; i++) {
sum += InputJSON[i].value;
}
var result = {events:InputJSON.length,avg:sum/InputJSON.length };
return result;
}
Data:
{"name": "A", "time":"12:01:01","value":10}
{"name": "B", "time":"12:01:01","value":9}
{"name": "C", "time":"12:01:02","value":10}
Result:
Need help in writing u-sql query to fetch me top n percentage of rows.I have one dataset from which need to take total count of rows and take top 3% rows from dataset based on col1. Code which I have written is :
#count = SELECT Convert.ToInt32(COUNT(*)) AS cnt FROM #telData;
#count1=SELECT cnt/100 AS cnt1 FROM #count;
DECLARE #cnt int=SELECT Convert.ToInt32(cnt1*3) FROM #count1;
#EngineFailureData=
SELECT vin,accelerator_pedal_position,enginefailure=1
FROM #telData
ORDER BY accelerator_pedal_position DESC
FETCH #cnt ROWS;
#telData is my basic dataset.Thanks for help.
Some comments first:
FETCH currently only takes literals as arguments (https://msdn.microsoft.com/en-us/library/azure/mt621321.aspx)
#var = SELECT ... will assign the name #var to the rowset expression that starts with the SELECT. U-SQL (currently) does not provide you with stateful scalar variable assignment from query results. Instead you would use a CROSS JOIN or other JOIN to join the scalar value in.
Now to the solution:
To get the percentage, take a look at the ROW_NUMBER() and PERCENT_RANK() functions. For example, the following shows you how to use either to answer your question. Given the simpler code for PERCENT_RANK() (no need for the MAX() and CROSS JOIN), I would suggest that solution.
DECLARE #percentage double = 0.25; // 25%
#data = SELECT *
FROM (VALUES(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12),(13),(14),(15),(16),(17),(18),(19),(20)
) AS T(pos);
#data =
SELECT PERCENT_RANK() OVER(ORDER BY pos) AS p_rank,
ROW_NUMBER() OVER(ORDER BY pos) AS r_no,
pos
FROM #data;
#cut_off =
SELECT ((double) MAX(r_no)) * (1.0 - #percentage) AS max_r
FROM #data;
#r1 =
SELECT *
FROM #data CROSS JOIN #cut_off
WHERE ((double) r_no) > max_r;
#r2 =
SELECT *
FROM #data
WHERE p_rank >= 1.0 - #percentage;
OUTPUT #r1
TO "/output/top_perc1.csv"
ORDER BY p_rank DESC
USING Outputters.Csv();
OUTPUT #r2
TO "/output/top_perc2.csv"
ORDER BY p_rank DESC
USING Outputters.Csv();
I am running a query with Oracle:
SELECT
c.customer_number,
COUNT(DISTINCT o.ORDER_NUMBER),
COUNT(DISTINCT q.QUOTE_NUMBER)
FROM
Customer c
JOIN Orders o on c.customer_number = o.party_number
JOIN Quote q on c.customer_number = q.account_number
GROUP BY
c.customer_number
This works beautifully and I can get the customer and their order and quote counts.
However, not all customers have orders or quotes but I still want their data. When I use LEFT JOIN I get this error from Oracle:
ORA-24347: Warning of a NULL column in an aggregate function
Seemingly this error is caused by the eventual COUNT(NULL) for customers that are missing orders and/or quotes.
How can I get a COUNT of null values to come out to 0 in this query?
I can do COUNT(DISTINCT NVL(o.ORDER_NUMBER, 0)) but then the counts will come out to 1 if orders/quotes are missing which is no good. Using NVL(o.ORDER_NUMBER, NULL) has the same problem.
Try using inline views:
SELECT
c.customer_number,
o.order_count,
q.quote_count
FROM
customer c,
( SELECT
party_number,
COUNT(DISTINCT order_number) AS order_count
FROM
orders
GROUP BY
party_number
) o,
( SELECT
account_number,
COUNT(DISTINCT quote_number) AS quote_count
FROM
quote
GROUP BY
account_number
) q
WHERE 1=1
AND c.customer_number = o.party_number (+)
AND c.customer_number = q.account_number (+)
;
Sorry, but I'm not working with any databases right now to test this, or to test whatever the ANSI SQL version might be. Just going on memory.
UPDATE tracks
SET People_id_Reference = (SELECT People_id
FROM People
RIGHT JOIN top100
ON
People_name=top100.artist )
WHERE People_id_Reference IS NULL;
But I get Error like this:
ERROR 1242(21000): SUBQUERY RETURNS MORE THAN ONE ROW
Can some on help me with this. Thanks in advance
The simplest way would be to append a LIMIT 1 onto the end of the subquery to only force it to return a single row.
change your code like this :
SELECT *
FROM package_reviews
WHERE post_id = ANY (SELECT post_id
FROM wp_posts
WHERE post_author=1);
this link is very useful
http://dev.mysql.com/doc/refman/5.0/en/subquery-errors.html