Customer Count Query
Hello All
I need help in writing a Optimized query .
Scenario :
We have several customers across multiple vendors .We want to get Customercount by vendor for a year
In this scenario we wanted to claculate
Customer Count for Vendor
Example
2014 Kroger(Vendor) has 100 customers
2014 Target(Vendor) has 50 customers
I wanted to see out of those 100 customers for Kroger who were not customer of kroger in 2012 and 2013 but customer of target
Similarly out of those 50 customers for Target who were not customer of target in 2012 and 2013 but customer of
kroger
In 2012 same customer might have bought with different vendor.We are calculating new to vendor
C1 2012 Kroger 100
C1 2012 Walmart 100
C2 2012 target 100
C2 2012 Kroger 100
C1 2014 target 100
C2 2014 Kroger 100
C2 2014 target 100
C2 2014 walmart 100
In this case C1 is customer count for target as he did not buy with target but with other vendors
and c2 canot be counted towarsd kroger or walmart becauase be bought with both of them but can be counterd towarrds walmart as he did not buy with walmart
I am trying to write a query to get 2012 and 2013 data for all vendors and then join with 2014 data set
but the thing is i am getting wrong count
Please let me know
this?
SELECT Vendor,
YEAR(DATEADD(yy,DATEDIFF(yy,0,Datefield),0)) AS Yr,
COUNT(CustomerID) AS CustomerCount,
COUNT(CASE WHEN Cnt = 0 THEN CustomerID ELSE NULL END) AS FirstTimeCustomerCount
FROM Table t
OUTER APPLY (SELECT COUNT(*) AS Cnt
FROM Table
WHERE CustomerID = t.CustomerID
AND DATEDIFF(yy,0,Datefield) < DATEDIFF(yy,0,t.Datefield)
AND Vendor = t.Vendor)
GROUP BY Vendor,DATEDIFF(yy,0,Datefield)
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The requested Performance Counter is not a custom counter, it has to be initialized as ReadOnly.
Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code.
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Line 8:
Line 9: DashboardBusiness.WorkflowHelper.Init();
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Line 11:
Source File: d:\Inetpub\hhh.net\shared\iHHH\Dashboard\Global.asax Line: 9
Stack Trace:
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System.Diagnostics.PerformanceCounter.Initialize() +1232
System.Diagnostics.PerformanceCounter..ctor(String categoryName, String counterName, String instanceName, Boolean readOnly) +110
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System.Workflow.Runtime.Hosting.WorkflowRuntimeService.HandleStarted(Object source, WorkflowRuntimeEventArgs e) +11
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ASP.global_asax.Application_Start(Object sender, EventArgs e) in d:\Inetpub\hhh.net\shared\iHHH\Dashboard\Global.asax:9
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This looks like the group-by on your ReportQuery is being ignored on the size query. The best plan is to submit this to support with the TopLink code used and the information provided in this post.
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Doug -
How can we improve the perfromace of a count query?
Suppose I have a table A that holds more than 50 million rows.
Now if i want to count the no of rows which is the best one
1) Select count(*) from A.
Definitely not as it is doing a full table scan
2) Select count(primary_key) from A.
3) Select count(row_id) from A.
One more question whats the difference between select count(*) from table_name and select count(1) from table_a. Many people suggest count(1) and i dont see any reason though.
Kindly guide me.> Please see my points 1,2 and 3.
Can this change the execution plan (path) of the CBO in anyway?
1. count rows
2. count rows using primary key
3. counting rows using physical row addresses
The fact is that the rows, and all the rows, need to be counted. The CBO will choose the most "attractive" I/O path - i.e. the smallest one, the one with the least amount of I/O. It does not need tricks like COUNT(1) or COUNT(PK) or COUNT(ROWID) in order to make an appropriate decision.
Example:
SQL> create table tab1 nologging as select level as ID, LPAD('*',4000,'*') as STUFF from dual connect by level <= 10000;
Table created.
SQL> set autotrace on
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10000
Execution Plan
Plan hash value: 899213575
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 2306 (4)| 00:00:28 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | TABLE ACCESS FULL| TAB1 | 9982 | 2306 (4)| 00:00:28 |
Note
- dynamic sampling used for this statement
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10087 consistent gets
10000 physical reads
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238 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
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0 sorts (disk)
1 rows processed
Creating an PK index
SQL> alter table tab1 add constraint pk_tab1 primary key(id) using index;
Table altered.
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is smaller and cheaper to scan than scanning the table
SQL> select count(*) from tab1;
COUNT(*)
10000
Execution Plan
Plan hash value: 1796789124
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 (23)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FAST FULL SCAN| PK_TAB1 | 9982 | 9 (23)| 00:00:01 |
Note
- dynamic sampling used for this statement
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194 recursive calls
0 db block gets
131 consistent gets
20 physical reads
0 redo size
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238 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
5 sorts (memory)
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1 rows processed
SQL>
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