I have a task to get the trailing average of the number of records received in
past 10 months and the number of records in this month. For example, in the set
of records below, the average of records per month for last three months is 4.33.
and the number of records of in this month is 3.
Hence the result expected is,
declare #recordsReceived table (id int, dob date)
INSERT #recordsReceived VALUES (1,'2020-01-01')
INSERT #recordsReceived VALUES (2,'2020-01-08')
INSERT #recordsReceived VALUES (3,'2020-01-17')
INSERT #recordsReceived VALUES (5,'2020-02-03')
INSERT #recordsReceived VALUES (6,'2020-02-09')
INSERT #recordsReceived VALUES (7,'2020-02-16')
INSERT #recordsReceived VALUES (8,'2020-02-21')
INSERT #recordsReceived VALUES (9,'2020-02-28')
INSERT #recordsReceived VALUES (10,'2020-03-01')
INSERT #recordsReceived VALUES (11,'2020-03-07')
INSERT #recordsReceived VALUES (12,'2020-03-21')
INSERT #recordsReceived VALUES (13,'2020-03-28')
INSERT #recordsReceived VALUES (14,'2020-04-03')
INSERT #recordsReceived VALUES (15,'2020-04-09')
INSERT #recordsReceived VALUES (16,'2020-04-30')
INSERT #recordsReceived VALUES (5,'2020-02-03')
INSERT #recordsReceived VALUES (6,'2020-02-09')
INSERT #recordsReceived VALUES (7,'2020-02-16')
INSERT #recordsReceived VALUES (8,'2020-02-21')
INSERT #recordsReceived VALUES (9,'2020-02-28')
INSERT #recordsReceived VALUES (10,'2020-03-01')
INSERT #recordsReceived VALUES (12,'2020-03-21')
INSERT #recordsReceived VALUES (12,'2020-03-21')
INSERT #recordsReceived VALUES (13,'2020-03-28')
INSERT #recordsReceived VALUES (14,'2020-04-03')
INSERT #recordsReceived VALUES (15,'2020-04-09')
INSERT #recordsReceived VALUES (16,'2020-04-30')
You can try this,
Select * From (
Select count(month(dob))*1.00/count(distinct(month(dob))) As [TAVG]
from #recordsReceived
Where month(dob) < (Select max(month(dob)) from #recordsReceived)) A
,
(Select count(month(dob)) [Current]
from #recordsReceived
Where month(dob) = (Select max(month(dob)) from #recordsReceived)) B
I'm trying to use a value returned by an INSERT ... RETURNING statement in multiple following INSERTs.
Say we have the following tables:
CREATE TABLE hosts (host_id SERIAL, name CHARACTER VARYING(20));
CREATE TABLE interfaces (interface_id SERIAL, host_id INTEGER, name CHARACTER VARYING(10), iface_ip INET);
INSERT INTO hosts (name) VALUES ('Host A'),('Host B');
What I want, is to insert a row in the first table (hosts), get the created host_id and then insert multiple rows into the second table (interfaces) with given values and the host_id from the first statement.
I found the following way, using a CTE and a SELECT with static values which works for me, but I'm pretty sure, that this is not the way to accomplish it...
WITH temp_table AS (
INSERT INTO hosts (name) VALUES ('Host C') RETURNING host_id AS last_hostid
), i1 AS (
INSERT INTO interfaces (host_id, name, iface_ip) SELECT last_hostid, 'eth0', '192.168.1.1' FROM temp_table
), i2 AS (
INSERT INTO interfaces (host_id, name, iface_ip) SELECT last_hostid, 'eth1', '192.168.2.1' FROM temp_table
), i3 AS (
INSERT INTO interfaces (host_id, name, iface_ip) SELECT last_hostid, 'eth2', '192.168.3.1' FROM temp_table
) SELECT 1;
I know that I can easily do this, by talking back to a webserver with say PHP, and then fill in the variable in the next statement. But I wanted to accomplish it without all the back and forth, solely in PostgreSQL. So, if there is a better way than mine (and I'm pretty sure of it) - any hints?
You can create one CTE with the rows you want to insert and then use that as the source for the actual insert:
WITH temp_table AS (
INSERT INTO hosts (name) VALUES ('Host C')
RETURNING host_id AS last_hostid
), new_data (name, iface_ip) AS (
values
('eth0', '192.168.1.1'::inet),
('eth1', '192.168.2.1'::inet),
('eth2', '192.168.3.1'::inet)
)
INSERT INTO interfaces (host_id, name, iface_ip)
SELECT last_hostid, nd.name, nd.iface_ip
FROM new_data as nd, temp_table;
The (implicit) cross join in the SELECT doesn't matter as temp_table only return a single row.
I have a table that will have 500,000+ records.
Each record has a LineNumber field which is not unique and not part of the primary key.
Each record has a CreatedOn field.
I need to update all 500,000+ records to identify repeat records.
A repeat records is defined by a record that has the same LineNumber within the last seven days of its CreatedOn field.
In the diagram above row 4 is a repeat because it occurred only five days since row 1.
Row 6 is not a repeat even though it occurs only four days since row 4, but row 4 itself is already a repeat, so Row 6 can only be compared to Row 1 which is nine days prior to Row 6, therefore Row 6 is not a repeat.
I do not know how to update the IsRepeat field with stepping through each record one-by-one via a cursor or something.
I do not believe cursors is the way to go, but I'm stuck with any other possible solution.
I have considered maybe Common Table Expressions may be of help but I have no experience with them and have no idea where to start.
Basically this same process needs to be done on the table every day as the table is truncated and re-populated every single day. Once the table is re-populated, I have to go through and re-mark each record if it is a repeat or not.
Some assistance would be most appreciated.
UPDATE
Here is a script to create a table and insert test data
USE [Test]
GO
/****** Object: Table [dbo].[Job] Script Date: 08/18/2009 07:55:25 ******/
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[Job]') AND type in (N'U'))
DROP TABLE [dbo].[Job]
GO
USE [Test]
GO
/****** Object: Table [dbo].[Job] Script Date: 08/18/2009 07:55:25 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[Job]') AND type in (N'U'))
BEGIN
CREATE TABLE [dbo].[Job](
[JobID] [int] IDENTITY(1,1) NOT NULL,
[LineNumber] [nvarchar](20) NULL,
[IsRepeat] [bit] NULL,
[CreatedOn] [smalldatetime] NOT NULL,
CONSTRAINT [PK_Job] PRIMARY KEY CLUSTERED
(
[JobID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
END
GO
SET NOCOUNT ON
INSERT INTO dbo.Job VALUES ('1006',NULL,'2009-07-01 07:52:08')
INSERT INTO dbo.Job VALUES ('1019',NULL,'2009-07-01 08:30:01')
INSERT INTO dbo.Job VALUES ('1028',NULL,'2009-07-01 09:30:35')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-01 10:51:10')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-02 09:22:30')
INSERT INTO dbo.Job VALUES ('1027',NULL,'2009-07-02 10:27:28')
INSERT INTO dbo.Job VALUES (NULL,NULL,'2009-07-02 11:15:33')
INSERT INTO dbo.Job VALUES ('1029',NULL,'2009-07-02 13:01:13')
INSERT INTO dbo.Job VALUES ('1014',NULL,'2009-07-03 12:05:56')
INSERT INTO dbo.Job VALUES ('1029',NULL,'2009-07-03 13:57:34')
INSERT INTO dbo.Job VALUES ('1025',NULL,'2009-07-03 15:38:54')
INSERT INTO dbo.Job VALUES ('1006',NULL,'2009-07-04 16:32:20')
INSERT INTO dbo.Job VALUES ('1025',NULL,'2009-07-05 13:46:46')
INSERT INTO dbo.Job VALUES ('1029',NULL,'2009-07-05 15:08:35')
INSERT INTO dbo.Job VALUES ('1000',NULL,'2009-07-05 15:19:50')
INSERT INTO dbo.Job VALUES ('1011',NULL,'2009-07-05 16:37:19')
INSERT INTO dbo.Job VALUES ('1019',NULL,'2009-07-05 17:14:09')
INSERT INTO dbo.Job VALUES ('1009',NULL,'2009-07-05 20:55:08')
INSERT INTO dbo.Job VALUES (NULL,NULL,'2009-07-06 08:29:29')
INSERT INTO dbo.Job VALUES ('1002',NULL,'2009-07-07 11:22:38')
INSERT INTO dbo.Job VALUES ('1029',NULL,'2009-07-07 12:25:23')
INSERT INTO dbo.Job VALUES ('1023',NULL,'2009-07-08 09:32:07')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-08 09:46:33')
INSERT INTO dbo.Job VALUES ('1016',NULL,'2009-07-08 10:09:08')
INSERT INTO dbo.Job VALUES ('1023',NULL,'2009-07-09 10:45:04')
INSERT INTO dbo.Job VALUES ('1027',NULL,'2009-07-09 11:31:23')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-09 13:10:06')
INSERT INTO dbo.Job VALUES ('1006',NULL,'2009-07-09 15:04:06')
INSERT INTO dbo.Job VALUES ('1010',NULL,'2009-07-09 17:32:16')
INSERT INTO dbo.Job VALUES ('1012',NULL,'2009-07-09 19:51:28')
INSERT INTO dbo.Job VALUES ('1000',NULL,'2009-07-10 15:09:42')
INSERT INTO dbo.Job VALUES ('1025',NULL,'2009-07-10 16:15:31')
INSERT INTO dbo.Job VALUES ('1006',NULL,'2009-07-10 21:55:43')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-11 08:49:03')
INSERT INTO dbo.Job VALUES ('1022',NULL,'2009-07-11 16:47:21')
INSERT INTO dbo.Job VALUES ('1026',NULL,'2009-07-11 18:23:16')
INSERT INTO dbo.Job VALUES ('1010',NULL,'2009-07-11 19:49:31')
INSERT INTO dbo.Job VALUES ('1029',NULL,'2009-07-12 11:57:26')
INSERT INTO dbo.Job VALUES ('1003',NULL,'2009-07-13 08:32:20')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-13 09:31:32')
INSERT INTO dbo.Job VALUES ('1021',NULL,'2009-07-14 09:52:54')
INSERT INTO dbo.Job VALUES ('1021',NULL,'2009-07-14 11:22:31')
INSERT INTO dbo.Job VALUES ('1023',NULL,'2009-07-14 11:54:14')
INSERT INTO dbo.Job VALUES (NULL,NULL,'2009-07-14 15:17:08')
INSERT INTO dbo.Job VALUES ('1005',NULL,'2009-07-15 13:27:08')
INSERT INTO dbo.Job VALUES ('1010',NULL,'2009-07-15 14:10:56')
INSERT INTO dbo.Job VALUES ('1011',NULL,'2009-07-15 15:20:50')
INSERT INTO dbo.Job VALUES ('1028',NULL,'2009-07-15 15:39:18')
INSERT INTO dbo.Job VALUES ('1012',NULL,'2009-07-15 16:06:17')
INSERT INTO dbo.Job VALUES ('1017',NULL,'2009-07-16 11:52:08')
SET NOCOUNT OFF
GO
Ignores LineNumber is null. How should IsRepeat be handled in that case?
It works for test data. Whether it will be efficient enough for production volumes?
In the case of duplicate (LineNumber, CreatedOn) on pairs, arbitrarily choose one. (The one with minimum JobId)
Basic idea:
Get all JobId pairs that
are at least seven days apart, by
line number.
Count the number of
rows that are more than seven days
from the left side, upto and
including the right side. (CNT)
Then we know if JobId x is not a repeat, the next not a repeat is the pair with X on
the left side, and CNT = 1
Use recursive CTE to start with the first row for each LineNumber
Recursive element uses the pair with counts to get the next row.
Finally update, setting all IsRepeat to 0 for non-repeats and 1 for everything else.
; with AllPairsByLineNumberAtLeast7DaysApart (LineNumber
, LeftJobId
, RightJobId
, BeginCreatedOn
, EndCreatedOn) as
(select l.LineNumber
, l.JobId
, r.JobId
, dateadd(day, 7, l.CreatedOn)
, r.CreatedOn
from Job l
inner join Job r
on l.LineNumber = r.LineNumber
and dateadd(day, 7, l.CreatedOn) < r.CreatedOn
and l.JobId <> r.JobId)
-- Count the number of rows within from BeginCreatedOn
-- up to and including EndCreatedOn
-- In the case of CreatedOn = EndCreatedOn,
-- include only jobId <= jobid, to handle ties in CreatedOn
, AllPairsCount(LineNumber, LeftJobId, RightJobId, Cnt) as
(select ap.LineNumber, ap.LeftJobId, ap.RightJobId, count(*)
from AllPairsByLineNumberAtLeast7DaysApart ap
inner join Job j
on j.LineNumber = ap.LineNumber
and ap.BeginCreatedOn <= j.createdOn
and (j.CreatedOn < ap.EndCreatedOn
or (j.CreatedOn = ap.EndCreatedOn
and j.JobId <= ap.RightJobId))
group by ap.LineNumber, ap.LeftJobId, ap.RightJobId)
, Step1 (LineNumber, JobId, CreatedOn, RN) as
(select LineNumber, JobId, CreatedOn
, row_number() over
(partition by LineNumber order by CreatedOn, JobId)
from Job)
, Results (JobId, LineNumber, CreatedOn) as
-- Start with the first rows.
(select JobId, LineNumber, CreatedOn
from Step1
where RN = 1
and LineNumber is not null
-- get the next row
union all
select j.JobId, j.LineNumber, j.CreatedOn
from Results r
inner join AllPairsCount apc on apc.LeftJobId = r.JobId
inner join Job j
on j.JobId = apc.RightJobId
and apc.CNT = 1)
update j
set IsRepeat = case when R.JobId is not null then 0 else 1 end
from Job j
left outer join Results r
on j.JobId = R.JobId
where j.LineNumber is not null
EDIT:
After I turned off the computer last night I realized I had made things more complicated than they needed to be. A more straightforward (and on the test data, slightly more effecient) query:
Basic Idea:
Generated PotentialStep (FromJobId, ToJobId) These are the pairs where if FromJobId
is not a repeat, than ToJobId is also not a repeat. (First row by LineNumber more
than seven days from FromJobId)
Use a recursive CTE to start from the first JobId for each LineNumber and then step,
using PontentialSteps, to each Non Repeating JobId
; with PotentialSteps (FromJobId, ToJobId) as
(select FromJobId, ToJobId
from (select f.JobId as FromJobId
, t.JobId as ToJobId
, row_number() over
(partition by f.LineNumber order by t.CreatedOn, t.JobId) as RN
from Job f
inner join Job t
on f.LineNumber = t.LineNumber
and dateadd(day, 7, f.CreatedOn) < t.CreatedOn) t
where RN = 1)
, NonRepeats (JobId) as
(select JobId
from (select JobId
, row_number() over
(partition by LineNumber order by CreatedOn, JobId) as RN
from Job) Start
where RN = 1
union all
select J.JobId
from NonRepeats NR
inner join PotentialSteps PS
on NR.JobId = PS.FromJobId
inner join Job J
on PS.ToJobId = J.JobId)
update J
set IsRepeat = case when NR.JobId is not null then 0 else 1 end
from Job J
left outer join NonRepeats NR
on J.JobId = NR.JobId
where J.LineNumber is not null
UPDATE Jobs
SET Jobs.IsRepeat = 0 -- mark all of them IsRepeat = false
UPDATE Jobs
SET Jobs.IsRepeat = 1
WHERE EXISTS
(SELECT TOP 1 i.LineNumber FROM Jobs i WHERE i.LineNumber = Jobs.LineNumber
AND i.CreatedOn <> Jobs.CreatedOn and i.CreatedOn BETWEEN Jobs.CreatedOn - 7
AND Jobs.CreatedOn)
NOTE: I hope this helps you somewhat. Let me know, if you find any discrepancy that you will come across on a larger data set.
I'm not proud of this, it makes many assumptions (e.g. that CreatedOn is date only, and (LineNUmber,CreatedOn) is a key. Some tuning may be required, only works with test data.
In other words, I created this more for intellectual curiosity rather than because I think it's a genuine solution. Final select could be an update to set IsRepeat in the base table, based on existence on rows in V4. Final note before letting people see evil - could people please post test data in comments for data sets that it doesn't work for. It might be possible to turn this into a real solution:
with V1 as (
select t1.LineNumber,t1.CreatedOn,t2.CreatedOn as PrevDate from
T1 t1 inner join T1 t2 on t1.LineNumber = t2.LineNumber and t1.CreatedOn > t2.CreatedOn and DATEDIFF(DAY,t2.CreatedOn,t1.CreatedOn) < 7
), V2 as (
select v1.LineNumber,v1.CreatedOn,V1.PrevDate from V1
union all
select v1.LineNumber,v1.CreatedOn,v2.PrevDate from v1 inner join v2 on V1.LineNumber = v2.LineNumber and v1.PrevDate = v2.CreatedOn
), V3 as (
select LineNumber,CreatedOn,MIN(PrevDate) as PrevDate from V2 group by LineNumber,CreatedOn
), V4 as (
select LineNumber,CreatedOn from V3 where DATEDIFF(DAY,PrevDate,CreatedOn) < 7
)
select
T1.LineNumber,
T1.CreatedOn,
CASE WHEN V4.LineNumber is Null then 0 else 1 end as IsRepeat
from
T1
left join
V4
on
T1.LineNumber = V4.LineNumber and
T1.CreatedOn = V4.CreatedOn
order by T1.CreatedOn,T1.LineNumber
option (maxrecursion 7)