Data is
cases e_id
NULL 2820
3 3107
5 2987
66 2987
18 503
26 503
1 503
108 503
32 503
4 503
Expectation
On the basis of unique e_id , sum the cases in extreme count column.
cases e_id count
NULL 2820 0
3 3107 3
5 2987 71
66 2987 71
18 503 189
26 503 189
1 503 189
108 503 189
32 503 189
4 503 189
That can be done using a window function:
select cases, e_id, sum(cases) over (partition by e_id) as count
from the_table;
Related
Id
SleepDay
TotalMinutesAsleep
TotalTimeInBed
8378563200
4/20/2016
381
409
8378563200
4/21/2016
396
417
8378563200
4/22/2016
441
469
8378563200
4/23/2016
565
591
8378563200
4/24/2016
458
492
8378563200
4/25/2016
388
402 ---> this is the duplicate
8378563200
4/25/2016
388
402
8378563200
4/26/2016
550
584
8378563200
4/27/2016
531
600
This is part of my table and how can I delete the duplicate row? I use CTE clause but it deleted all records of id #8378563200 on 4/25/2016.
Use:
DELETE
FROM table1
WHERE ctid IN (SELECT ctid
FROM (SELECT ctid,
ROW_NUMBER() OVER (
PARTITION BY Id, SleepDay,TotalMinutesAsleep,TotalTimeInBed ) AS rn
FROM table1) t
WHERE rn > 1);
Replace table1 with your own table name.
Without column(s) to identify a unique row?
Then you could use ctid.
ctid
The physical location of the row version within its table. Note
that although the ctid can be used to locate the row version very
quickly, a row's ctid will change if it is updated or moved by VACUUM
FULL. Therefore ctid is useless as a long-term row identifier. A
primary key should be used to identify logical rows
For example:
delete
from SleepLogs log1
using SleepLogs log2
where log2.Id = log1.Id
and log2.SleepDay = log1.SleepDay
and log2.TotalMinutesAsleep = log1.TotalMinutesAsleep
and log2.TotalTimeInBed = log1.TotalTimeInBed
and log2.ctid < log1.ctid;
1 rows affected
select * from SleepLogs
id
sleepday
totalminutesasleep
totaltimeinbed
8378563200
2016-04-20
381
409
8378563200
2016-04-21
396
417
8378563200
2016-04-22
441
469
8378563200
2016-04-23
565
591
8378563200
2016-04-24
458
492
8378563200
2016-04-25
388
402
8378563200
2016-04-26
550
584
8378563200
2016-04-27
531
600
Test on db<>fiddle here
I have the following table:
Data nr1 nr2 nr3 nr4 nr5 nr6
2020-09-12 6 15 36 42 67 78
2020-09-10 46 48 67 78 80 87
2020-09-08 23 27 28 31 69 89
2020-09-05 7 14 27 56 72 83
2020-09-03 16 17 38 39 68 84
2020-09-01 10 22 28 45 48 71
2020-08-29 1 3 35 42 55 61
2020-08-27 37 49 52 53 75 87
2020-08-25 15 24 31 70 83 84
2020-08-22 7 12 45 47 73 87
2020-08-20 7 17 30 39 41 67
2020-08-18 13 22 28 58 65 77
2020-08-17 5 9 26 62 77 79
2020-08-13 4 5 49 57 66 75
2020-08-11 7 9 38 68 78 80
2020-08-08 6 16 22 55 58 83
2020-08-06 21 37 40 46 69 80
2020-08-04 5 19 21 25 45 82
2020-08-01 4 14 17 18 26 45
2020-07-30 4 15 19 26 28 55
2020-07-28 23 45 49 71 80 82
2020-07-25 18 30 42 70 78 80
2020-07-23 10 29 37 49 56 57
2020-07-21 4 34 46 54 55 62
2020-07-18 18 33 49 76 80 84
I have to do the following task:
Select into a #TEMP table with only one column DistinctNumbers all distinct numbers of the above table because some numbers in the above table might be repeated across rows and columns.
Select into another #TEMP table all numbers in the range from 1 to 99 which are not in the original table.
What is the best way of accomplishing these two tasks?
You should unpivot original table first
1.Unpivot original table into #temp table
2.Now you have all numbers in one column
3.Use while between 1 and 99 and insert counter into #RESULT table where not in #temp(unpivoted table)
SELECT DISTINCT(num) num INTO #TEMP_DISTINCT_NUMBERS FROM ORIGINAL_TABLE UNPIVOT (
num
FOR PivotColumn IN (nr1,nr2,nr3,nr4,nr5,nr6)
) AS UNPIVOTE_TABLE
CREATE TABLE #RESULT(NUM INT)
DECLARE #COUNTER INT =1;
WHILE(#COUNTER<=99)
BEGIN
INSERT INTO #RESULT SELECT #COUNTER WHERE #COUNTER NOT IN (SELECT num FROM
#TEMP_DISTINCT_NUMBERS)
SET #COUNTER=#COUNTER+1
END
SELECT * FROM #RESULT
you can try this:
;WITH tally
AS (SELECT 1 AS num
UNION ALL
SELECT num + 1
FROM tally
WHERE num < 99)
SELECT DISTINCT tally.num
FROM tally
LEFT JOIN
( SELECT num FROM #dataset --your dataset
CROSS APPLY (VALUES (nr1),(nr2),(nr3),(nr4),(nr5),(nr6)) AS B (num)
) AS dataset
ON tally.num = dataset.num
WHERE dataset.num IS NULL
Code above:
Create [tally] recursive common table expression with sequence from 1 to 99
Left join tally with your unpivoted dataset ...
test here: https://rextester.com/YEB57637
I created a view which is presently giving the data like this:
practice_name message_type message_count
CHC ALOG_SYNC 1
CHC BULKNT 0
CHC PIE_SYNC 1
CHC PPRV_SYNC 1
CHC SYNC_PRACT 3
CHC SYNC_PROV 9
CHC SYNC_WTXT 3
CHC SYNC_XYZ 0
Midtown ALOG_SYNC 0
Midtown BULKNT 0
Midtown PIE_SYNC 0
Midtown PPRV_SYNC 0
Midtown SYNC_PRACT 3
Midtown SYNC_PROV 0
Midtown SYNC_WTXT 3
Midtown SYNC_XYZ 0
NextGen MedicalPractice ALOG_SYNC 0
NextGen MedicalPractice BULKNT 1
NextGen MedicalPractice PIE_SYNC 0
NextGen MedicalPractice PPRV_SYNC 0
NextGen MedicalPractice SYNC_PRACT 3
NextGen MedicalPractice SYNC_PROV 591
NextGen MedicalPractice SYNC_WTXT 3
NextGen MedicalPractice SYNC_XYZ 0
My View:
CREATE OR REPLACE VIEW sha.sha_export_queue_view AS
SELECT q3.practice_name,
q3.message_type,
q3.share_site_org_key,
COALESCE(q2.message_count, '0'::text) AS message_count
FROM ( SELECT q1.practice_name,
mt.message_type,
q1.share_site_org_key
FROM sha.message_types mt,
( SELECT DISTINCT jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Practice Name'::text AS practice_name,
ai.share_site_org_key
FROM sha.sha_share_site_view ssv
LEFT JOIN ( SELECT mytable2.assessment_id,
mytable2.result_json,
mytable2.share_site_org_key,
mytable2.rnk
FROM ( SELECT assessment_info.assessment_id,
assessment_info.result_json,
assessment_info.share_site_org_key,
dense_rank() OVER (PARTITION BY assessment_info.share_site_org_key ORDER BY assessment_info.modified_datetime DESC) AS rnk
FROM sha.assessment_info
WHERE assessment_info.assessment_id = 8::numeric) mytable2
WHERE mytable2.rnk = 1) ai ON ssv.share_site_org_key = ai.share_site_org_key) q1) q3
LEFT JOIN ( SELECT jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Practice Name'::text AS practice_name,
jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Message Type'::text AS message_type,
jsonb_array_elements((ai.result_json -> 'Patient Portal Operational Information'::text) -> 'nxmd_export contents by message type'::text) ->> 'Message Count'::text AS message_count
FROM sha.sha_share_site_view ssv
LEFT JOIN ( SELECT mytable2.assessment_id,
mytable2.result_json,
mytable2.share_site_org_key,
mytable2.rnk
FROM ( SELECT assessment_info.assessment_id,
assessment_info.result_json,
assessment_info.share_site_org_key,
dense_rank() OVER (PARTITION BY assessment_info.share_site_org_key ORDER BY assessment_info.modified_datetime DESC) AS rnk
FROM sha.assessment_info
WHERE assessment_info.assessment_id = 8::numeric) mytable2
WHERE mytable2.rnk = 1) ai ON ssv.share_site_org_key = ai.share_site_org_key) q2 ON q3.message_type::text = q2.message_type AND q3.practice_name = q2.practice_name
ORDER BY q3.practice_name;
I want the second column to be flattened:
Practice Time Stamp <<message type 1>> <<message type 2>> <<message type 3>> <<message type 4 >> <<message type 5>> <<message type 6>> <<message type 7>> <<message type 8>>
Practice Name 1 21-12-2016 10:00 23 25 27 29 31 33 35 37
Practice Name 2 21-12-2016 10:00 24 26 28 30 32 34 36 38
Practice Name 3 21-12-2016 13:00 25 27 29 31 33 35 37 39
Practice Name 4 21-12-2016 13:00 26 28 30 32 34 36 38 40
Practice Name 5 24-12-2016 13:00 27 29 31 33 35 37 39 41
Practice Name 6 27-12-2016 13:00 28 30 32 34 36 38 40 42
Practice Name 7 30-12-2016 13:00 29 31 33 35 37 39 41 43
Practice Name 8 02-01-2017 13:00 30 32 34 36 38 40 42 44
Practice Name 1 05-01-2017 13:00 31 33 35 37 39 41 43 45
Practice Name 2 08-01-2017 13:00 32 34 36 38 40 42 44 46
Practice Name 3 11-01-2017 13:00 33 35 37 39 41 43 45 47
Is there any way I can achieve that?
Sorry for the little alignment issue.
The values are corresponding message type values
Sample for query (idea in comments to question):
SELECT
practice_name,
sum("ALOG_SYNC") AS "ALOG_SYNC",
sum("BULKNT") AS "BULKNT",
...
FROM (
SELECT
practice_name,
CASE WHEN q3.message_type = 'ALOG_SYNC' THEN sum(message_count) END AS "ALOG_SYNC",
CASE WHEN q3.message_type = 'BULKNT' THEN sum(message_count) END AS "BULKNT"
FROM
<your from + where clause>
) AS A
GROUP BY 1
Probably your query might be optimised.
Or you can use crosstab function (https://www.postgresql.org/docs/current/static/tablefunc.html)
I have an equipment inventory application I am working on. The piece of equipment is my top level and it contains assemblies, sub-assemblies and parts. I am trying to use recursive CTE to display the parent/child relationships. The issue I am having is that some assemblies can have multiple sub-assemblies that are the same, meaning there is not difference in the part numbers. This is causing my query to not show the correct relationship based on my order by statement. This is the first time I have used CTE so I have be using a lot learned on the web.
PartNumberID 174 is used twice in this assembly.
Sample Table
equipmentID parentPartNumberID partNumberID
17 1 281
17 281 156
17 156 161
17 161 224
17 281 174
17 174 192
17 192 56
17 174 193
17 281 174
17 174 192
17 192 56
17 174 193
17 281 283
17 ` 283 183
17 283 277
17 283 173
Results of Query
PARENT CHILD PARTLEVEL HIERARCHY
1 281 0 281
281 156 1 281.156
156 161 2 281.156.161
161 224 3 281.156.161.224
281 174 1 281.174
281 174 1 281.174
174 192 2 281.174.192
174 192 2 281.174.192
192 56 3 281.174.192.56
192 56 3 281.174.192.56
174 193 2 281.174.193
174 193 2 281.174.193
281 283 1 281.283
283 173 2 281.283.173
283 183 2 281.283.183
283 277 2 281.283.277
As you can see the hierarchy is created correctly but I it is not being returned correctly because there is nothing unique for these 2 assemblies for the order by statement.
The Code:
with parts(PARENT,CHILD,PARTLEVEL,HIERARCHY) as (select parentPartNumberID,
--- Used to get rid of duplicates
CASE WHEN ROW_NUMBER() OVER (PARTITION BY partNumberID ORDER BY partNumberID) > 1
THEN NULL
ELSE partNumberID END AS partNumberID,
0,
CAST( partNumberID as nvarchar) as PARTLEVEL
FROM db.tbl_ELEMENTS
WHERE parentPartNumberID=1 and equiptmentID=17
UNION ALL
SELECT part1.parentPartNumberId,
--- Used to get rid of duplicates
CASE WHEN ROW_NUMBER() OVER (PARTITION BY parts1.partNumberID ORDER BY parts1.partNumberID) > 1
THEN 10000 + parts1.partNumberID
ELSE parts1.partNumberID END,
PARTLEVEL+1,
cast(parts.hierarchy + '.' + CAST(parts1.partNumberID as nvarchar) as nvarchar)
from dbo.tbl_BOM_Elements as parts1 inner
join parts onparts1.parentPartNumberID=parts.CHILD
where id =17)
select CASE WHEN PARENT > 10000
THEN PARENT - 10000
ELSE PARENT END AS PARENT,
CASE WHEN CHILD > 10000
THEN CHILD - 10000
ELSE CHILD END AS CHILD,
PARTLEVEL,HIERARCHY
from parts
order by hierarchy
I tried to create a unique ID to order but was not successful. Any suggestions would be greatly appreciated.
I'll start by just answering the part about getting a sequential id.
If you have control you could just a unique Id to your source table. Having a surrogate primary key would be pretty typical here.
You could instead use a second CTE before the recursive one and add the row numbers there using ROW_NUMBER() OVER BY (ORDER BY equipmentID, parentPartNumberID, partNumberID). Then build your recursive CTE off of that rather than the source table directly.
Better might be to use the first CTE to instead GROUP BY equipmentID, parentPartNumberID, partNumberID and add a COUNT(1) field. This would let you instead use the count in you hierarchy rather than getting the duplicates. Something like 281.283.277x2 or whatever.
I am unable to construct the query equivalent to the T-SQL below.
I am working on our new analytics dashboard and I have solved almost everything what I wanted, but I have stuck on the one problem.
Image with table and T-SQL query
http://server.esterminal.cz/dax/all.PNG
Table
ID ProductID TimeID StoreID Price
797190 7946 267 73 100
797191 7946 269 73 101
797192 7946 270 73 102
797193 7946 271 73 104
797194 7946 271 74 105
797195 7947 271 74 200
797196 7947 271 73 202
797197 7947 271 75 203
Query
SELECT *
FROM ProductFact
WHERE ProductID IN (SELECT ProductID
FROM ProductFact
WHERE StoreID = 75)
Result
ID ProductID TimeID StoreID Price
797195 7947 271 74 200
797196 7947 271 73 202
797197 7947 271 75 203
I want to show all the products that are on offer in one store and show the details of any other stores that stock the product.
I know that I have overlooked something "big", but after 6 hours of attempting to find a way, I decided to ask to someone who has more experience than me.
Thank you for help.
Michal
I found solution which work for me.
EVALUATE FILTER( ProductFact, CONTAINS(FILTER(ProductFact, ProductFact[StoreID]=75),
ProductFact[ProductID], ProductFact[ProductID]) )