I am trying to find out all the member ids who have more than 2 records on a different dates in the same class.
+----------+------------+-------+-----------+
| MemberId | Date | Class | |
+----------+------------+-------+-----------+
| 118111 | 2/18/2020 | A | Valid |
| 118111 | 10/15/2020 | A | Valid |
| 118216 | 1/31/2020 | B | Valid |
| 118216 | 5/16/1981 | B | Valid |
| 118291 | 6/9/2020 | A | Valid |
| 118291 | 12/5/2020 | A | Valid |
| 118533 | 4/9/2020 | A | Not valid |
| 118533 | 11/11/2020 | B | Not valid |
| 118533 | 7/22/2020 | C | Valid |
| 118533 | 10/25/2020 | C | Valid |
| 118293 | 3/30/2020 | A | Not valid |
| 118293 | 3/30/2020 | A | Not valid |
| 118499 | 4/16/2020 | B | Valid |
| 118499 | 7/26/2020 | B | Valid |
| 118499 | 3/25/2020 | A | Not valid |
+----------+------------+-------+-----------+
I have made a query which checks only 2 records but unable to find a solution for checking more than 2 records.
select mc.*
FROM table1 AS mc
JOIN table1 AS ma ON ma.memberid = mc.memberid
AND ma.date != mc.date
AND ma.class = mc.class
Assuming you just want the memberid you can us a HAVING:
SELECT memberid
FROM dbo.YourTable
GROUP BY memberid
HAVING COUNT(DISTINCT [Date]) > 2;
Related
I have 2 tables, tableStock and tableParts:
tableStock
+----+----------+-------------+
| ID | Num_Part | Description |
+----+----------+-------------+
| 1 | sr37 | plate |
+----+----------+-------------+
| 2 | sr56 | punch |
+----+----------+-------------+
| 3 | sl30 | crimper |
+----+----------+-------------+
| 4 | mp11 | holder |
+----+----------+-------------+
tableParts
+----+----------+-------+
| ID | Location | Stock |
+----+----------+-------+
| 1 | A | 2 |
+----+----------+-------+
| 3 | B | 5 |
+----+----------+-------+
| 5 | C | 2 |
+----+----------+-------+
| 7 | A | 1 |
+----+----------+-------+
And I just want to do this:
+----+----------+-------------+----------+-------+
| ID | Num_Part | Description | Location | Stock |
+----+----------+-------------+----------+-------+
| 1 | sr37 | plate | A | 2 |
+----+----------+-------------+----------+-------+
| 2 | sr56 | punch | NULL | NULL |
+----+----------+-------------+----------+-------+
| 3 | sl30 | crimper | B | 5 |
+----+----------+-------------+----------+-------+
| 4 | mp11 | holder | NULL | NULL |
+----+----------+-------------+----------+-------+
List ALL the rows of the first table and if the second table has the info, in this case 'location' and 'stock', add to the column, if not, just null.
I have been using inner and left join but some rows of the first table disappear because the lack of data in the second one:
select tableStock.ID, tableStock.Num_Part, tableStock.Description, tableParts.Location, tableParts.Stock from tableStock inner join tableParts on tableStock.ID = tableParts.ID;
What can I do?
You can use left join. Here is the demo.
select
s.ID,
Num_Part,
Description,
Location,
Stock
from Stock s
left join Parts p
on s.ID = p.ID
order by
s.ID
output:
| id | num_part | description | location | stock |
| --- | -------- | ----------- | -------- | ----- |
| 1 | sr37 | plate | A | 2 |
| 2 | sr56 | punch | NULL | NULL |
| 3 | sl30 | crimper | B | 5 |
| 4 | mp11 | holder | NULL | NULL |
I am using following query to count how many Bill_date each BAN have
select replace(c.usertoken, '-', '') as BAN
, to_char(to_date(bi.name,'YYYY-MM-DD'),'dd-mm-yy') as Billdate_dmy
, (replace(c.usertoken, '-', '') ||':'|| to_char(to_date(bi.name,'YYYY-MM-DD'),'dd-mm-yy')) as BAN_Billdate_dmy
, count(c.usertoken) as Number_Of_Bills
from customer c
, service s
, document d
, bill bi
, batch ba
, billrun br
where c.ID = s.CUSTOMER_SERVICE_ID
and s.ID = d.SERVICE_DOCUMENT_ID
and bi.ID = d.BILL_DOCUMENT_ID
and d.BATCH = ba.ID
and ba.BILLRUN = br.ID
and br.STATUS = 'APPROVED'
and c.brand='rogers'
and d.VERSIONEDCONTENTFOLDER='cbu'
group by c.usertoken, bi.name
order by c.usertoken
Output of the above query
+-----------+----------+--------------------+--------------+--+-------+
| BAN | Bill_date | BAN_Billdate | Count |
+-----------+----------+--------------------+--------------+--+-------+
| 100001247 | 25-09-19 | 100001247:25-09-19 | 1 | | |
| 100001247 | 25-10-19 | 100001247:25-10-19 | 1 | | |
| 100002583 | 15-10-19 | 100002583:15-10-19 | 1 | | |
| 100004753 | 25-09-19 | 100004753:25-09-19 | 1 | | |
| 100004753 | 25-10-19 | 100004753:25-10-19 | 1 | | |
| 100005719 | 25-09-19 | 100005719:25-09-19 | 1 | | |
| 100005719 | 25-10-19 | 100005719:25-10-19 | 1 | | |
| 100006311 | 06-09-19 | 100006311:06-09-19 | 1 | | |
| 100009596 | 25-09-19 | 100009596:25-09-19 | 1 | | |
| 100009596 | 25-10-19 | 100009596:25-10-19 | 1 | | |
+-----------+----------+--------------------+--------------+--+-------+
However I was expecting the following output
+-----------+----------+--------------------+--------------+--+-------+
| BAN | Billdate | BAN_Billdate | | Count |
+-----------+----------+--------------------+--------------+--+-------+
| 100001247 | 25-09-19 | 100001247:25-09-19 | 2 | | |
| 100001247 | 25-10-19 | 100001247:25-10-19 | 2 | | |
| 100002583 | 15-10-19 | 100002583:15-10-19 | 3 | | |
| 100004753 | 25-09-19 | 100004753:25-09-19 | 3 | | |
| 100004753 | 25-10-19 | 100004753:25-10-19 | 3 | | |
| 100005719 | 25-09-19 | 100005719:25-09-19 | 2 | | |
| 100005719 | 25-10-19 | 100005719:25-10-19 | 2 | | |
| 100006311 | 06-09-19 | 100006311:06-09-19 | 1 | | |
| 100009596 | 25-09-19 | 100009596:25-09-19 | 2 | | |
| 100009596 | 25-10-19 | 100009596:25-10-19 | 2 | | |
+-----------+----------+--------------------+--------------+--+-------+
Please advise what changes should I do in the query to have the count column reflecting the expected values.
I don't want to touch your query and the archaic join syntax. Please learn proper SQL grammar with JOIN and ON clauses for joins.
That said, you seem to want a window function to sum the counts:
select sum(count(*)) over (partition by ban, to_date(bi.name, 'YYYY-MM-DD'))
I'm not sure that aggregation is really useful, if you are only getting one row per group. In that case, you might want to remove the group by and use:
select count(*) over (partition by ban, to_date(bi.name, 'YYYY-MM-DD'))
I have a software that retrieve data from multiple devices with SNMP.
The software then create a record in a table with a starting polling time and a ending polling time.
For every SNMP table we retrieve, we put the data in different tables.
In the model below, there is one snmp table (FrequencyValue). The tables are like so:
| Polls | | |
|-------|------------------|------------------|
| id | start_time | end_time |
|-------|------------------|------------------|
| 1 | 2019-04-01T10:00 | 2019-04-01T10:10 |
| 2 | 2019-04-01T11:00 | 2019-04-01T11:10 |
| 3 | 2019-04-01T12:00 | 2019-04-01T12:10 |
| Devices |
|------------|
| ip |
|------------|
| 172.16.1.1 |
| FrequencyValue | | | | |
|----------------|---------|------------------|-----------|-------|
| device_ip | poll_id | timestamp | frequency | value |
|----------------|---------|------------------|-----------|-------|
| 172.16.1.1 | 1 | 2019-04-01T10:02 | 1000 | 10 |
| 172.16.1.1 | 1 | 2019-04-01T10:02 | 2000 | 20 |
| | | | | |
| 172.16.1.1 | 3 | 2019-04-01T12:02 | 1000 | 10 |
| 172.16.1.1 | 3 | 2019-04-01T12:02 | 2000 | 20 |
The problem come when a device fails to answer, because as shown in the table FrequencyValue, the software didn't create a record for that table.
The question: In order to graph the column value per frequency, we would like to create n rows for each frequency that would have the column value to null.
So far, our query look like so:
select p.ip, coalesce(t.timestamp, p.start_time) as "time", t.frequency, t.value
from FrequencyValue as t
right join (
select p.start_time, p.id, d.ip
from Polls as p, Devices as d
) as p on (t.poll_id = p.id and t.device_ip = p.ip)
With output:
| ip | timestamp | frequency | value |
|------------|------------------|-----------|-------|
| 172.16.1.1 | 2019-04-01T10:02 | 1000 | 10 |
| 172.16.1.1 | 2019-04-01T10:02 | 2000 | 20 |
| | | | |
| 172.16.1.1 | 2019-04-01T11:00 | null | null |
| | | | |
| 172.16.1.1 | 2019-04-01T12:02 | 1000 | 10 |
| 172.16.1.1 | 2019-04-01T12:02 | 2000 | 20 |
What we actually want is this:
| ip | timestamp | frequency | value |
|------------|------------------|-----------|-------|
| 172.16.1.1 | 2019-04-01T10:02 | 1000 | 10 |
| 172.16.1.1 | 2019-04-01T10:02 | 2000 | 20 |
| | | | |
| 172.16.1.1 | 2019-04-01T11:00 | 1000 | null |
| 172.16.1.1 | 2019-04-01T11:00 | 2000 | null |
| | | | |
| 172.16.1.1 | 2019-04-01T12:02 | 1000 | 10 |
| 172.16.1.1 | 2019-04-01T12:02 | 2000 | 20 |
We tried putting another right join in the query but we just can't have the result we want.
The frequencies are not defined elsewhere, so to retrieve the frequencies available we could select distinct the frequencies in the table.
The DB is a PostgreSQL.
Use a cross join to generate the rows and then a left join to bring in the values:
select d.ip, t.timestamp, f.frequency, fv.value
from devices d cross join
(select distinct timestamp from frequencyvalue) t cross join
(select distinct frequency from frequencyvalue) f left join
frequencyvalue fv
on fv.device_ip = d.ip and
fv.timestamp = t.timestamp and
fv.frequency = f.frequency;
I have a table which represents the hierarchy of departments:
+-----------+--------------+--------------+--------------+-----------+-------+
| Top Dept. | 2-tier Dept. | 3-tire Dept. | 4-tier Dept. | name | tier |
+-----------+--------------+--------------+--------------+-----------+-------+
| 00 | | | | abc | 0 |
| | 00-01 | | | bcd | 1 |
| | | 00-01-01 | | cde | 2 |
| | | 00-01-02 | | abc | 2 |
| | 00-02 | | | aef | 1 |
| | | 00-02-01 | | qwe | 2 |
| | | 00-02-03 | | abc | 2 |
| | | | 00-02-03-01 | abc | 3 |
+-----------+--------------+--------------+--------------+-----------+-------+
now I want to sort the rows which are in the same tier by their names while keeping the hierarchy overall, That's what I expect:
+-----------+--------------+--------------+--------------+-----------+-------+
| Top Dept. | 2-tier Dept. | 3-tire Dept. | 4-tier Dept. | name | tier |
+-----------+--------------+--------------+--------------+-----------+-------+
| 00 | | | | abc | 0 |
| | 00-02 | | | aef | 1 |
| | | 00-02-03 | | abc | 2 |
| | | 00-02-01 | | qwe | 2 |
| | 00-01 | | | def | 1 |
| | | 00-01-02 | | abc | 2 |
| | | 00-01-01 | | cde | 2 |
| | | | 00-02-03-01 | abc | 3 |
+-----------+--------------+--------------+--------------+-----------+-------+
the missing data means null, I'm using Oracle DB, can anyone help me?
EDIT: Actually, it's a simple version of this sql, I've tried to add a new column which concats the values of the first four columns and then order by it and by name, but it did't work.
Update: This appears to be working... SQL Fiddle
All that was really needed from my original comment was to amend name to department in that order in both selects. This allows the engine to sort by name first, while maintaining the hierarchy.
WITH cte(Dept, superiorDept, name, depth, sort)AS (
SELECT
Dept,
superiorDept,
name,
0,
name|| dept
FROM hierarchy h
WHERE superiorDept IS NULL
UNION ALL
SELECT
h2.Dept,
h2.superiorDept,
h2.name,
cte.depth + 1,
cte.sort || h2.name ||h2.dept
FROM hierarchy h2
INNER JOIN cte ON h2.superiorDept = cte.Dept
)
SELECT
CASE WHEN depth = 0 THEN Dept END AS 一级部门,
CASE WHEN depth = 1 THEN Dept END AS 二级部门,
CASE WHEN depth = 2 THEN Dept END AS 三级部门,
CASE WHEN depth = 3 THEN Dept END AS 四级部门,
name,
depth,
sort
FROM cte
ORDER BY sort, name
I have one table that looks like this:
+---------------+---------------+-----------+-------+------+
| id_instrument | id_data_label | Date | Value | Note |
+---------------+---------------+-----------+-------+------+
| 1 | 57 | 1.10.2010 | 200 | NULL |
| 1 | 57 | 2.10.2010 | 190 | NULL |
| 1 | 57 | 3.10.2010 | 202 | NULL |
| | | | | |
+---------------+---------------+-----------+-------+------+
And the other that looks like this:
+----------------+---------------+---------------+--------------+-------+-----------+------+
| id_fundamental | id_instrument | id_data_label | quarter_code | value | AnnDate | Note |
+----------------+---------------+---------------+--------------+-------+-----------+------+
| 1 | 1 | 20 | 20101 | 3 | 28.2.2010 | NULL |
| 2 | 1 | 20 | 20102 | 4 | 1.8.2010 | NULL |
| 3 | 1 | 20 | 20103 | 5 | 2.11.2010 | NULL |
| | | | | | | |
+----------------+---------------+---------------+--------------+-------+-----------+------+
What I would like to do is to merge/join these two tables in one in a way that I get something like this:
+------------+--------------+--------------+----------+--------------+
| Date | Table1.Value | Table2.Value | AnnDate | quarter_code |
+------------+--------------+--------------+----------+--------------+
| 1.10.2010. | 200 | 3 | 1.8.2010 | 20102 |
| 2.10.2010. | 190 | 3 | 1.8.2010 | 20102 |
| 3.10.2010. | 202 | 3 | 1.8.2010 | 20102 |
| | | | | |
+------------+--------------+--------------+----------+--------------+
So the idea is to order them by Date from Table1 and since Table2 Values only change on the change of AnnDate we populate the Resulting table with same values from Table2.
After that I would like to go through the resulting table and create another (Final table) with the following.
On Date 1.10.2010. take last 4 AnnDates (so it would be 1.8.2010. and f.e. 20.3.2010. 30.1.2010. 15.11.2009) and Table2 values on those AnnDate. Make SUM of those 4 values and then divide the Table1 Value with that SUM.
So we would get something like:
+-----------+---------------------------------------------------------------+
| Date | FinalValue |
+-----------+---------------------------------------------------------------+
| 1.10.2010 | 200/(Table2.Value on 1.8.2010+Table2.Value on 20.3.2010 +...) |
| | |
+-----------+---------------------------------------------------------------+
Is there any way this can be done?
EDIT:
Hmm yes now I see that I really didn't do a good job explaining it.
What I wanted to say is
I try INNER JOIN like this:
SELECT TableOne.Date, TableOne.Value, TableTwo.Value, TableTwo.AnnDate, TableTwo.quarter_code
FROM TableOne
INNER JOIN TableTwo ON TableOne.id_intrument=TableTwo.id_instrument WHERE TableOne.id_data_label = somevalue AND TableTwo.id_data_label = somevalue AND date > xxx AND date < yyy
And this inner join returns 2620*40 rows which means for every AnnDate from table2 it returns all Date from table1.
What I want is to return 2620 values with Dates from Table1
Values from table1 on that date and Values from table2 that respond to that period of dates
f.e.
Table1:
+-------+-------+
| Date | Value |
+-------+-------+
| 1 | a |
| 2 | b |
| 3 | c |
| 4 | d |
+-------+-------+
Table2
+-------+---------+
| Value | AnnDate |
+-------+---------+
| x | 1 |
| y | 4 |
+-------+---------+
Resulting table:
+-------+---------+---------+
| Date | ValueT1 | ValueT2 |
+-------+---------+---------+
| 1 | a | x |
| 2 | b | x |
| 3 | c | x |
| 4 | d | y |
+-------+---------+---------+
You need a JOIN statement for your first query. Try:
SELECT TableOne.Date, TableOne.Value, TableTwo.Value, TableTwo.AnnDate, TableTwo.quarter_code FROM TableOne
INNER JOIN TableTwo
ON TableOne.id_intrument=TableTwo.id_instrument;