Transact SQL :: Comparing 2 Records / Multiple Instances In The Same Table For A Specific Combination?

Jun 10, 2015

I have a problem where I have 2 compare 2 records from the same table. This part looks easy but the problem is for a User there can be multiple records and I have 2 compare each record with its previous instance based on the timestamp. Not only I have to compare I have to perform some analysis. Below is the Table script and sample output.

Givens: All SQL Server 2008 or 2012 tools at your disposal.

Production database contains the following tables (simplified for example: constraints ignored, etc.) associated with a racing video game’s server.

-- A player of our game

-- Table greater than 10 million rows

CREATE
TABLE [dbo].[User]
(
[UserId]              
[bigint] NOT
NULL  
,[country]             
[int] NULL   
-- User’s home country
,[name]                
[nvarchar](15)
NULL  -- User’s displayable name (‘John’, ‘Bill’)
,[subscriptionTier]    
[int] NULL
)
-- 0 == free, 1 == paid, for instance

Assume that rows get written into the event tables at a rate of 1,000 a minute,are never updated once written and currently are only read on a replica/reporting server.

Question Background: Write up a single query that would return the following: List of users and whose “TotalMoneyEarned” value ever grew (between logon events) at a rate of more than 1,000 per minute (we’d consider these suspicious and flag them for later investigation). 

For instance, if the sample data were:

-- example of [Events.UserLogon] data  -- not the query output we want

EventId     UserId               TotalMoneyEarned LogonDate
----------- -------------------- ---------------- -----------------------
1           1               1000             2010-10-16 00:19:56.460
2           1               1500             2010-10-16 00:20:56.460
3           1               3000             2010-10-16 00:21:56.460
4           1               10000            2010-10-16 00:29:56.460

Event 1 is okay because there’s nothing to compare it against

Event 2 is okay because the TotalMoneyEarned only grew 500 in a minute

Event 3 should be flagged, as the value grew 1500 in a minute

Event 4 is okay, as it grew 7,000 in 8 minutes (< 1000 per minute)

Query Output (your query should return data in a format like this):

User      Flagged Logon Time    Rate Since Last Logon (money/minute)
John      2010-10-16 00:21:56   1500
Dave      2010-10-16 00:30:50   3200
Bill      2010-10-16 00:35:23   1000

It is likely that you will need to create sample data for both the User and [Events.Logon] tables.  We are looking for a single query that returns data like what is represented in Query Output.

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Nov 19, 2015

There are 3 tables Property , PropertyExternalReference , PropertyAssesmentValuation which are common for 60 business rule

SELECT  
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, PA.DescriptionCode
    [PSDCode]
, PV.ValuationEffectiveDate
    [EffectiveDate]
, PV.PropertyListAlterationDate
    [ListAlterationDate]

[code]....

Can we push the data for the above query in a physical table and create index to make the query fast rather than using the same set  tables multiple times 

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Update Table1
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It obviously failed because subquery returned more than one value and error message stated that I can't use '=' operator in this case.

My question: how could I update the same column from many records in one execution?

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Select a.table1
,b.table2
from table1 a, table2 b
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At first, I wanted to get a count of how many there are.

I need to compare records where these fields are matched:

MATCHED: (email, firstname) but not MATCH: (lastname, phone, mobile).
MATCHED: (email, firstname, mobile)
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MATCHED: (email, firstname, lastname)
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I have a scenario to compare previous records based on each ID columns. For each ID, there would be few records, I have a column called "compare", We have to compare all Compare 1 records with Compare 0 Records. If Dt is lesser or equal to comparing DT, then show 0. Else 1

We always only one Compare 0 records in my table, so all compare 1 columns will compare with only one row per ID

My tables look like

Declare @tab1 table (ID Varchar(3), Dt Date, Compare Int)
Insert Into @tab1 values ('101','2015-07-01',0)
Insert Into @tab1 values ('101','2015-07-02',1)
Insert Into @tab1 values ('101','2015-07-03',1)
Insert Into @tab1 values ('101','2015-07-01',1)
Insert Into @tab1 values ('101','2015-06-30',1)

Insert Into @tab1 values ('102','2015-07-01',0)
Insert Into @tab1 values ('102','2015-07-02',1)
Insert Into @tab1 values ('102','2015-07-01',1)

select * from @tab1

1.) In the above scenario for ID = '101', we have 5 records, first record has Compare value 0, which mean all other 4 records need to compare with this record only

2.) If Compare 1 record's Dt is less or equal to Compare 0's DT, then show 0 in next column 

3.) If Compare 1 record's Dt is greater than Compare 0's DT, then show 1 in next column 

My expected result set should be like ....

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Is there something I am doing incorrectly in the following sql?

DECLARE @startdate date = '03-06-2015'
DECLARE @enddate date = '10-31-2015'
DECLARE @afterTime time = '17:00'
SELECT
General_Count = (SELECT COUNT(*) as General FROM Unidata.CrumsTicket ct

[Code] ....

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Jun 2, 2015

I'm trying to avoid a large amount of manual data manipulation.

Here's the background: Legacy system that has (well let's call apples apples) pretty much no method of enforcing data integrity, which has caused a fairly decent amount of garbage data to be inserted in some tables. Pulling one of the [Individuals] table from within this Legacy system and inserting it into a production system, into the Table schema currently in place to track [Individuals] in this Production system.

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Staging Table Schema:

;
CREATE TABLE [dbo].[stage_Individuals](
[SysID] [int] NULL, --Unique, though it's not an index intended to identify the [Individuals]
[JJISID] [nvarchar](10) NULL,
[NameLast] [nvarchar](30) NULL,
[NameFirst] [nvarchar](30) NULL,
[NameMiddle] [nvarchar](30) NULL,

[code]....

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Currently I am running the following SQL just to get a list of the records that have a duplicate JJISID (I have other's that partition by Name/DOB/etc and will adapt whatever I come up with to be used for those as well):

;
select j.*
from (select ROW_NUMBER() OVER (PARTITION BY JJISID ORDER BY JJISID) as RowNum, stage_Individuals.*, COUNT(*) OVER (partition by jjisid) as cnt from stage_Individuals) as j
where cnt > 1 and j.JJISID is not nullNow, with SQL Server 2012 or later I could use LAG and LEAD w/ the RowNum value to do my data manipulation...but that won't work because we are on SQL Server 2008 in this environment.

[URL]

With, the following as a potential solution:

GSquared (3/16/2010)Here's a query that seems to do what you need. Try it, let me know if it works.

Performance on it will be a problem, but I can't fine tune that. You'll need to look at various method for getting this kind of data from the table and work out which variation will be best for your data. Without access to the actual table, I can't do that.

;
WITH CTE
AS (SELECT master_id,
MIN(ID) AS first_id,
MAX(Account_Expiry) AS latest_expiry
FROM #People
GROUP BY master_id)
SELECT P1.master_id,

[code].....

Unfortunately, I don't think that will accomplish what I'm looking for - I have some records that are duplicated 6 times, and I'm wanting to keep the values within these that aren't NULL.

Basically what I'm looking for, is to update any column with a NULL value to the corresponding Duplicate [Individuals] record value for that column.

**EDIT - Example, Record 1 has a JJISID with NULL NameFirst & NameLast BUT Record 2 has the same JJISID and values for NameFirst & NameLast. I'm wanting to propogate the NameFirst & NameLast from Record2 into Record1

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SELECT
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HomeworkLogLine.HomeworkLogLineTimestamp,
HomeworkLog.HomeworkLogDescription,
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[Code] ...

It's only returning two rows (the students where they have a row in the HomeworkLogLine table). 

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Table 1 - VendorTransactions

ID     PARTY    AMOUNT   VOUCHER
---------------------------------------
1       A               5000              Purchase
2       B               3000              Purchase
3       C               2000              Purchase

4       A               3000              Payment
5       B               1000              Payment
6       C               2000              Payment
7       A               1000              Payment


Now we have a blank table Table 2 - Liabilities

ID     PARTY    AMOUNT 

I want that SQL should look for each individual party from Table 1 and Calculate TOTAL PURCHASE and TOTAL PAYMENTS and then deduct TOTAL PAYMENTS from TOTAL PURCHASE so we get the remaining balance due for each party and then add the DIFFERENCE AMOUNT alongwith PARTY to the TABLE 2 so I can get the desired result like below

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-------------------------
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     nOrd     INT,
     Token     INT,
     nML              INT,
     nNode            INT,
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[code]....

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----------------------------------------------------------------------------------------------
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----------------------------------------------------------------------------------------------
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[Code] ....

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MYTABLE

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INSERT
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[code]....

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2           4/2/2015        bld1
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