CFCHART with dates

I am having a problem with getting dates to line up in the appropriate order in a CFCHART from 3 different queries. In other words, August dates might come before July dates on the chart. Ideally I would like to have these 3 queries as one query because the records I am accessing are all in the same table. That can be battle for another day once I resolve this issue. Hints would be helpful on the query dilemma.
Just a little background:
MSSQL database
ColdFusion 9
Each record has 3 bit datatype fields and a timestamp datatype field.
What I am trying to do is loop over the selected records and count each bit that is 'true'. Here is what I have.
 
 <cfquery ="Datasource" name="record1q" cachedwithin="#CreateTimeSpan(0, 0, 10, 0)#">
 SELECT Month(myDate) AS DateMonth, Day(myDate) AS recordDate,
 Year(myDate) AS DateYear, COUNT(record1bit) AS record1bitCount
 FROM myTable
 WHERE record1bit = 'true'
 GROUP BY Month(myDate), Day(myDate), Year(myDate), record1bit
 </cfquery>
 
 <cfquery ="Datasource" name="record2q">
 SELECT Month(myDate) AS DateMonth, Day(myDate) AS recordDate,
 Year(myDate) AS DateYear, COUNT(record2bit) AS record2bitCount
 FROM myTable
 WHERE record2bit = 'true'
 GROUP BY Month(myDate), Day(myDate), Year(myDate), record2bit
 </cfquery>
 
 <cfquery ="Datasource" name="record3q">
 SELECT Month(myDate) AS DateMonth, Day(myDate) AS recordDate,
 Year(myDate) AS DateYear, COUNT(record3bit) AS record2bitCount,
 record3bit
 FROM myTable
 WHERE record3bit = 'true'
 GROUP BY Month(myDate), Day(myDate), Year(myDate), record2bit, record3bit
 </cfquery>
 
 <cfloop index = "i" from = "1" to = "#record1q.RecordCount#">
 <cfset record1q.record1bitCount[i] = record1q.record1bitCount[i]>
 <cfset record1q.recordDate[i] = record1q.DateMonth[i] & "/" & record1q.recordDate[i] & "/" & record1q.DateYear[i]>
 </cfloop>
 
 <cfloop index = "i" from = "1" to = "#record2q.RecordCount#">
 <cfset record2q.record2bitCount[i] = record2q.record2bitCount[i]>
 <cfset record2q.recordDate[i] = record2q.DateMonth[i] & "/" & record2q.recordDate[i] & "/" & record2q.DateYear[i]>
 </cfloop>
 
 <cfloop index = "i" from = "1" to = "#record3q.RecordCount#">
 <cfset record3q.record2bitCount[i] = record3q.record2bitCount[i]>
 <cfset record3q.recordDate[i] = record3q.DateMonth[i] & "/" & record3q.recordDate[i] & "/" & record3q.DateYear[i]>
 </cfloop>
 <cfchart showlegend="yes"
 format="flash"
 backgroundColor="white"
 xAxisTitle="Date"
 yAxisTitle="Activity"
 font="Arial"
 gridlines=6
 showXGridlines="yes"
 showYGridlines="yes"
 showborder="yes"
 show3d="yes"
 chartwidth="500" title="Total Views and Shares"
 >
 <cfchartseries
 type="bar"
 query="record1q"
 valueColumn="record1bitCount"
 itemColumn="recordDate"
 seriesColor="gray"
 paintStyle="plain"
 seriesLabel="record1bit">
 </cfchartseries>
 <cfchartseries
 type="bar"
 query="record2q"
 valueColumn="record2bitCount"
 itemColumn="recordDate"
 seriescolor="FF9900"
 paintStyle="plain"
 seriesLabel="record2bit">
 </cfchartseries>
 <cfchartseries
 type="bar"
 query="record3q"
 valueColumn="record2bitCount"
 itemColumn="recordDate"
 seriescolor="000099"
 paintStyle="plain"
 seriesLabel="record3qbit Viewed">
 </cfchartseries>
 </cfchart>
I know it is a little sloppy but it is a good start. Any help will be appreciated.

Dan, It does make sense. What I had previously was something similar to this:
 
 <cfquery ="Datasource" name="recordq" cachedwithin="#CreateTimeSpan(0, 0, 10, 0)#">
 SELECT Month(myDate) AS DateMonth, Day(myDate) AS recordDate,
 Year(myDate) AS DateYear, COUNT(record1bit) AS record1bitCount,
 COUNT(record2bit) AS record2bitCount, COUNT(record3bit) AS record3bitCount
 FROM myTable
 WHERE record1bit = 'true'
 GROUP BY Month(myDate), Day(myDate), Year(myDate), record1bit, record2bit, record3bit
 </cfquery>
The problem with this was that all the records were grouped by date but was not totaled on one date line on the output. It also causes issues with the WHERE statement. I could have record1bit = 'true' but record2bit = 'false'. I have basic SQL skills so I generally gravitate to dealing with the output which is not always the best solution. A SQL solution would be ideal if you had one. Otherwise, grouping the output seems to have me at a roadblock with my ability. If there is no SQL solution and I could use this query, I would be thrilled since it would reduce the traffic from the database. Thanks for your help.

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My questions:
1) Why isn't the index t_indx used in Execution plan 1?
2) From the execution plan, I see that query 2 & 3 is better than query 1. I do not see any difference between execution plan 2 & 3. Which one is better?
3) I read somewhere - "Always check the Access Predicates and Filter Predicates of Explain Plan carefully to determine which columns are contributing to a Range Scan and which columns are merely filtering the returned rows. Be sceptical if the same clause is shown in both."
Is that true for Execution plan 2 & 3?
3) Could some one explain what the filter & access predicate mean here?
Thanks in advance.
Execution Plan 1:
SQL> select count(*) from TEST_DATA where trunc(fdate) = trunc(sysdate);
COUNT(*)
283
Execution Plan
Plan hash value: 1486387033
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 | 517 (20)| 00:00:07 |
| 1 | SORT AGGREGATE | | 1 | 9 | | |
|* 2 | TABLE ACCESS FULL| TEST_DATA | 341 | 3069 | 517 (20)| 00:00:07 |
Predicate Information (identified by operation id):
2 - filter(TRUNC(INTERNAL_FUNCTION("FDATE"))=TRUNC(SYSDATE@!))
Note
- dynamic sampling used for this statement
Statistics
4 recursive calls
0 db block gets
1610 consistent gets
0 physical reads
0 redo size
412 bytes sent via SQL*Net to client
380 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
Execution Plan 2:
SQL> select count(*) from TEST_DATA where fdate between trunc(sysdate) and trunc(SYSDATE) + .99999;
COUNT(*)
283
Execution Plan
Plan hash value: 1687886199
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 | 3 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 9 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX RANGE SCAN| T_INDX | 283 | 2547 | 3 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter(TRUNC(SYSDATE@!)<=TRUNC(SYSDATE@!)+.9999884259259259259259
259259259259259259)
3 - access("FDATE">=TRUNC(SYSDATE@!) AND
"FDATE"<=TRUNC(SYSDATE@!)+.999988425925925925925925925925925925925
9)
Note
- dynamic sampling used for this statement
Statistics
7 recursive calls
0 db block gets
76 consistent gets
0 physical reads
0 redo size
412 bytes sent via SQL*Net to client
380 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows
Execution Plan 3:
SQL> select count(*) from TEST_DATA where fdate between to_date('21-APR-10', 'dd-MON-yy') and to_dat
e('21-APR-10 23:59:59', 'DD-MON-YY hh24:mi:ss');
COUNT(*)
283
Execution Plan
Plan hash value: 1687886199
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 9 | 3 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 9 | | |
|* 2 | FILTER | | | | | |
|* 3 | INDEX RANGE SCAN| T_INDX | 283 | 2547 | 3 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter(TO_DATE('21-APR-10','dd-MON-yy')<=TO_DATE('21-APR-10
23:59:59','DD-MON-YY hh24:mi:ss'))
3 - access("FDATE">=TO_DATE('21-APR-10','dd-MON-yy') AND
"FDATE"<=TO_DATE('21-APR-10 23:59:59','DD-MON-YY hh24:mi:ss'))
Note
- dynamic sampling used for this statement
Statistics
7 recursive calls
0 db block gets
76 consistent gets
0 physical reads
0 redo size
412 bytes sent via SQL*Net to client
380 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed

Hi,
user10541890 wrote:
Performance with dates in the where clause
CREATE TABLE TEST_DATA
FNUMBER NUMBER,
FSTRING VARCHAR2(4000 BYTE),
FDATE DATE
create index t_indx on test_data(fdata);Did you mean fdate (ending in e)?
Be careful; post the code you're actually running.
query 1: select count(*) from TEST_DATA where trunc(fdate) = trunc(sysdate);
query 2: select count(*) from TEST_DATA where fdate between trunc(sysdate) and trunc(SYSDATE) + .99999;
query 3: select count(*) from TEST_DATA where fdate between to_date('21-APR-10', 'dd-MON-yy') and to_date('21-APR-10 23:59:59', 'DD-MON-YY hh24:mi:ss');
My questions:
1) Why isn't the index t_indx used in Execution plan 1?To use an index, the indexed column must stand alone as one of the operands. If you had a function-based index on TRUNC (fdate), then it might be used in Query 1, because the left operand of = is TRUNC (fdate).
2) From the execution plan, I see that query 2 & 3 is better than query 1. I do not see any difference between execution plan 2 & 3. Which one is better?That depends on what you mean by "better".
If "better" means faster, you've already shown that one is about as good as the other.
Queries 2 and 3 are doing different things. Assuming the table stays the same, Query 2 may give different results every day, but the results of Query 3 will never change.
For clarity, I prefer:
WHERE fdate >= TRUNC (SYSDATE)
AND fdate < TRUNC (SYSDATE) + 1(or replace SYSDATE with a TO_DATE expression, depending on the requirements).
3) I read somewhere - "Always check the Access Predicates and Filter Predicates of Explain Plan carefully to determine which columns are contributing to a Range Scan and which columns are merely filtering the returned rows. Be sceptical if the same clause is shown in both."
Is that true for Execution plan 2 & 3?
3) Could some one explain what the filter & access predicate mean here?Sorry, I can't.

Help on export sybase iq tables with data and import in another database ?

Help on export Sybase iq 16 tables with data and import into another database ?

Hi Nilesh,
If you have table/index create commands (DDLs), you can create them in Developper and import data using one of methods below
Extract/ Load table
Insert location method : require IQ servers to be entered in interfaces file
Backup/Restore : copy entire database content
If you have not the DDLs, you can generate them using IQ cockpit or SCC.
http://infocenter.sybase.com/help/topic/com.sybase.infocenter.dc01773.1604/doc/html/san1288042631955.html
http://infocenter.sybase.com/help/topic/com.sybase.infocenter.dc01840.1604/doc/html/san1281564927196.html
Regards,
Tayeb.

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