Comparing 2 Timestamps in an SQL Query

Hi all,
I'm connecting to an Oracle Database by JDBC und now I'm trying to compare the stored Timestamp-Object with another Java-TimestampObject. My Query looks like that:
select *
from table
where date.getTimestamp() > old_date
The first 'date' names the head of column und 'old_date' is a Java-Timestamp. I receive the following error:
ORA-00933: The Query could not be correctly ended
Who can help me???

It looks to me like you're trying to use the Java getTimestamp() function call in Oracle, which isn't going to work.
I suspect that you want to do something along the lines of
- prepare the query "select * from table where date > ?"
- bind the Java timestamp variable you have to the '?' above
- execute the statement
What version of the database and JDBC driver are you using? Is the "date" column a "date" or a "timestamp"?
Justin

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Error in SQL Query The text, ntext, and image data types cannot be compared or sorted, except when using IS NULL or LIKE operator. for the query

hi Experts,
while running SQL Query i am getting an error as
The text, ntext, and image data types cannot be compared or sorted, except when using IS NULL or LIKE operator. for the query
select T1. Dscription,T1.docEntry,T1.Quantity,T1.Price ,
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Dear Meghanath,
Please use the following query, Hope your purpose will serve.
select T1. Dscription,T1.docEntry,T1.Quantity,T1.Price ,
CAST(T2.LineText as nvarchar (MAX))[LineText]
from OQUT T0 INNER JOIN QUT1 T1 ON T0.DocEntry = T1.DocEntry LEFT OUTER JOIN
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How to compare result from sql query with data writen in html input tag?

how to compare result
from sql query with data
writen in html input tag?
I need to compare
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with all user and password in database
how to do this?
or put the resulr from sql query
in array
please help me?

Hi dejani
first get the user name and password enter by the user
using
String sUsername=request.getParameter("name of the textfield");
String sPassword=request.getParameter("name of the textfield");
after executeQuery() statement
int exist=0;
while(rs.next())
String sUserId= rs.getString("username");
String sPass_wd= rs.getString("password");
if(sUserId.equals(sUsername) && sPass_wd.equals(sPassword))
exist=1;
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How to compare same SQL query performance in different DB servers.

We have Production and Validation Environment of Oracle11g DB on two Solaris OSs.
H/W and DB,etc configurations of two Oracle DBs are almost same in PROD and VAL.
But we detected large SQL query performace difference in PROD DB and VAL DB in same SQL query.
I would like to find and solve the cause of this situation.
How could I do that ?
I plan to compare SQL execution plan in PROD and VAL DB and index fragmentations.
Before that I thought I need to keep same condition of DB statistics information in PROD and VAL DB.
So, I plan to execute alter system FLUSH BUFFER_CACHE;
But I am worring about bad effects of alter system FLUSH BUFFER_CACHE; to end users
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Could you please let me know the recomendation to compare SQL query performace ?

Thank you.
I got AWR report for only VAL DB server but it looks strange.
Is there any thing wrong in DB or how to get AWR report ?
Host Name
Platform
CPUs
Cores
Sockets
Memory (GB)
xxxx
Solaris[tm] OE (64-bit)
.00
Snap Id
Snap Time
Sessions
Cursors/Session
Begin Snap:
xxxx
13-Apr-15 04:00:04
End Snap:
xxxx
14-Apr-15 04:00:22
Elapsed:
1,440.30 (mins)
DB Time:
0.00 (mins)
Report Summary
Cache Sizes
Begin
End
Buffer Cache:
M
M
Std Block Size:
K
Shared Pool Size:
0M
0M
Log Buffer:
K
Load Profile
Per Second
Per Transaction
Per Exec
Per Call
DB Time(s):
0.0
0.0
0.00
0.00
DB CPU(s):
0.0
0.0
0.00
0.00
Redo size:
Logical reads:
0.0
1.0
Block changes:
0.0
1.0
Physical reads:
0.0
1.0
Physical writes:
0.0
1.0
User calls:
0.0
1.0
Parses:
0.0
1.0
Hard parses:
W/A MB processed:
16.7
1,442,472.0
Logons:
Executes:
0.0
1.0
Rollbacks:
Transactions:
0.0
Instance Efficiency Percentages (Target 100%)
Buffer Nowait %:
Redo NoWait %:
Buffer Hit %:
In-memory Sort %:
Library Hit %:
96.69
Soft Parse %:
Execute to Parse %:
0.00
Latch Hit %:
Parse CPU to Parse Elapsd %:
% Non-Parse CPU:
Shared Pool Statistics
Begin
End
Memory Usage %:
% SQL with executions>1:
34.82
48.31
% Memory for SQL w/exec>1:
63.66
73.05
Top 5 Timed Foreground Events
Event
Waits
Time(s)
Avg wait (ms)
% DB time
Wait Class
DB CPU
0
100.00
Host CPU (CPUs: Cores: Sockets: )
Load Average Begin
Load Average End
%User
%System
%WIO
%Idle
Instance CPU
%Total CPU
%Busy CPU
%DB time waiting for CPU (Resource Manager)
Memory Statistics
Begin
End
Host Mem (MB):
SGA use (MB):
46,336.0
46,336.0
PGA use (MB):
713.6
662.6
% Host Mem used for SGA+PGA:
Time Model Statistics
No data exists for this section of the report.
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Operating System Statistics
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Operating System Statistics - Detail
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Foreground Wait Class
s - second, ms - millisecond - 1000th of a second
ordered by wait time desc, waits desc
%Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Captured Time accounts for % of Total DB time .00 (s)
Total FG Wait Time: (s) DB CPU time: .00 (s)
Wait Class
Waits
%Time -outs
Total Wait Time (s)
Avg wait (ms)
%DB time
DB CPU
0
100.00
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Foreground Wait Events
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Background Wait Events
ordered by wait time desc, waits desc (idle events last)
Only events with Total Wait Time (s) >= .001 are shown
%Timeouts: value of 0 indicates value was < .5%. Value of null is truly 0
Event
Waits
%Time -outs
Total Wait Time (s)
Avg wait (ms)
Waits /txn
% bg time
log file parallel write
527,034
0
2,209
4
527,034.00
db file parallel write
381,966
0
249
1
381,966.00
os thread startup
2,650
0
151
57
2,650.00
latch: messages
125,526
0
89
1
125,526.00
control file sequential read
148,662
0
54
0
148,662.00
control file parallel write
41,935
0
28
1
41,935.00
Log archive I/O
5,070
0
14
3
5,070.00
Disk file operations I/O
8,091
0
10
1
8,091.00
log file sequential read
3,024
0
6
2
3,024.00
db file sequential read
1,299
0
2
2
1,299.00
latch: shared pool
722
0
1
1
722.00
enq: CF - contention
4
0
1
208
4.00
reliable message
1,316
0
1
1
1,316.00
log file sync
71
0
1
9
71.00
enq: CR - block range reuse ckpt
36
0
0
13
36.00
enq: JS - queue lock
459
0
0
1
459.00
log file single write
414
0
0
1
414.00
enq: PR - contention
5
0
0
57
5.00
asynch descriptor resize
67,076
100
0
0
67,076.00
LGWR wait for redo copy
5,184
0
0
0
5,184.00
rdbms ipc reply
1,234
0
0
0
1,234.00
ADR block file read
384
0
0
0
384.00
SQL*Net message to client
189,490
0
0
0
189,490.00
latch free
559
0
0
0
559.00
db file scattered read
17
0
0
6
17.00
resmgr:internal state change
1
100
0
100
1.00
direct path read
301
0
0
0
301.00
enq: RO - fast object reuse
35
0
0
2
35.00
direct path write
122
0
0
1
122.00
latch: cache buffers chains
260
0
0
0
260.00
db file parallel read
1
0
0
41
1.00
ADR file lock
144
0
0
0
144.00
latch: redo writing
55
0
0
1
55.00
ADR block file write
120
0
0
0
120.00
wait list latch free
2
0
0
10
2.00
latch: cache buffers lru chain
44
0
0
0
44.00
buffer busy waits
3
0
0
2
3.00
latch: call allocation
57
0
0
0
57.00
SQL*Net more data to client
55
0
0
0
55.00
ARCH wait for archivelog lock
78
0
0
0
78.00
rdbms ipc message
3,157,653
40
4,058,370
1285
3,157,653.00
Streams AQ: qmn slave idle wait
11,826
0
172,828
14614
11,826.00
DIAG idle wait
170,978
100
172,681
1010
170,978.00
dispatcher timer
1,440
100
86,417
60012
1,440.00
Streams AQ: qmn coordinator idle wait
6,479
48
86,413
13337
6,479.00
shared server idle wait
2,879
100
86,401
30011
2,879.00
Space Manager: slave idle wait
17,258
100
86,324
5002
17,258.00
pmon timer
46,489
62
86,252
1855
46,489.00
smon timer
361
66
86,145
238628
361.00
VKRM Idle
1
0
14,401
14400820
1.00
SQL*Net message from client
253,909
0
419
2
253,909.00
class slave wait
379
0
0
0
379.00
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Wait Event Histogram
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Wait Event Histogram Detail (64 msec to 2 sec)
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Wait Event Histogram Detail (4 sec to 2 min)
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Wait Event Histogram Detail (4 min to 1 hr)
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Service Statistics
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Service Wait Class Stats
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SQL Statistics
SQL ordered by Elapsed Time
SQL ordered by CPU Time
SQL ordered by User I/O Wait Time
SQL ordered by Gets
SQL ordered by Reads
SQL ordered by Physical Reads (UnOptimized)
SQL ordered by Executions
SQL ordered by Parse Calls
SQL ordered by Sharable Memory
SQL ordered by Version Count
Complete List of SQL Text
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SQL ordered by Elapsed Time
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SQL ordered by CPU Time
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SQL ordered by User I/O Wait Time
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SQL ordered by Gets
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SQL ordered by Reads
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SQL ordered by Physical Reads (UnOptimized)
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SQL ordered by Executions
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SQL ordered by Parse Calls
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SQL ordered by Sharable Memory
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SQL ordered by Version Count
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Complete List of SQL Text
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Instance Activity Statistics
Instance Activity Stats
Instance Activity Stats - Absolute Values
Instance Activity Stats - Thread Activity
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Instance Activity Stats
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Instance Activity Stats - Absolute Values
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Instance Activity Stats - Thread Activity
Statistics identified by '(derived)' come from sources other than SYSSTAT
Statistic
Total
per Hour
log switches (derived)
69
2.87
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IO Stats
IOStat by Function summary
IOStat by Filetype summary
IOStat by Function/Filetype summary
Tablespace IO Stats
File IO Stats
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IOStat by Function summary
'Data' columns suffixed with M,G,T,P are in multiples of 1024 other columns suffixed with K,M,G,T,P are in multiples of 1000
ordered by (Data Read + Write) desc
Function Name
Reads: Data
Reqs per sec
Data per sec
Writes: Data
Reqs per sec
Data per sec
Waits: Count
Avg Tm(ms)
Others
28.8G
20.55
.340727
16.7G
2.65
.198442
1803K
0.01
Direct Reads
43.6G
57.09
.517021
411M
0.59
.004755
0
LGWR
19M
0.02
.000219
41.9G
21.87
.496493
2760
0.08
Direct Writes
16M
0.00
.000185
8.9G
1.77
.105927
0
DBWR
0M
0.00
0M
6.7G
4.42
.079670
0
Buffer Cache Reads
3.1G
3.67
.037318
0M
0.00
0M
260.1K
3.96
TOTAL:
75.6G
81.33
.895473
74.7G
31.31
.885290
2065.8K
0.51
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IOStat by Filetype summary
'Data' columns suffixed with M,G,T,P are in multiples of 1024 other columns suffixed with K,M,G,T,P are in multiples of 1000
Small Read and Large Read are average service times, in milliseconds
Ordered by (Data Read + Write) desc
Filetype Name
Reads: Data
Reqs per sec
Data per sec
Writes: Data
Reqs per sec
Data per sec
Small Read
Large Read
Data File
53.2G
78.33
.630701
8.9G
7.04
.105197
0.37
21.51
Log File
13.9G
0.18
.164213
41.9G
21.85
.496123
0.02
2.93
Archive Log
0M
0.00
0M
13.9G
0.16
.164213
Temp File
5.6G
0.67
.066213
8.1G
0.80
.096496
5.33
3713.27
Control File
2.9G
2.16
.034333
2G
1.46
.023247
0.05
19.98

How to compare a boolean value returned from a function in a sql query

Hi all
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satyaki>set serveroutput on
satyaki>
satyaki>
satyaki>
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satyaki>
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TRUE
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String strTemp = "Select * From EMPLOYEES Where INITIALS = '" + txtUserName.getText() + "' Order By DATE Desc, TIME Desc";
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MenuMain.main();
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System.out.println("Password Bad");
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SQL query (pl/sql function body returning query) performance issue

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Marc,
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Oracle Sql Query issue Running on Different DB Version

Hello All,
I have come into situation where we are pruning sql queries on different DB version of Oracle and have performance issue. Let me tell you in brief and i really appreciate for your prompt response as its very imperative stuff.
I have a query which is running on a DB of version 7.3.4 and it takes around 30 mins where as the same query when run on 8i it takes 15sec., its a huge difference. I have run the statistics to analyze on 7.3 and its comparatively very high. Question here is, the sql query trys to select data from same schema table and 2 tables from another DB using DB link and 2 other tables from another DB using DB link.So,how can we optimize this stuff and achieve this run as same time as 8i DB in 7.3. Hope i am clear about my question, Eagerly waiting for your replies.
Thanks in Advance.
Message was edited by:
Ram8

Difficult to be sure without any more detailed information, but I suspect that O7 is in effect copying the remote tables to local temp space, then joining; 8i is factoring out a better query to send to the remote DBs, which does as much work as possible on the remote DB before shipping remaining rows back to local.
You should be able to use EXPLAIN PLAN to identify what SQL is being shipped to the remote DB, If you can't (and it's been quite a while since I tried DB links or O7) then get the remote DBs to yourself, and set SQL_TRACE on for the remote instances. Execute the query and then examine the remote trace files, And don't forget to turn off the tracing when you're done.
Of course it could just be that the CBO got better,,,
HTH - if not, post your query and plans for the local db, and the remote queries.
Regards Nigel

Retrieve a range of records from SQL query Oracle

I want to retrieve range of rows in Oracle database. This is the table structure:
CREATE TABLE ACTIVESESSIONSLOG(
ASESSIONID VARCHAR2(30 ) NOT NULL,
USERID VARCHAR2(30 ),
ACTIVITYSTART TIMESTAMP(6),
ACTIVITYEND TIMESTAMP(6),
ACTIVITY CLOB
/This is the SQL command that I use to get rows from the table:
SELECT * FROM ACTIVESESSIONSLOG WHERE ROWNUM >= 5 AND ROWNUM <= 10 ORDER BY USERID ASC;When I rum it no data is displayed. What is the proper way to get only 5 rows from the database?
Best wishes
Peter

Is this SQL query valid?I tend to say no: ORDER BY is applied last, so your rownum is not in correct anymore:
SQL> select rownum, ename, empno from emp order by empno
    ROWNUM ENAME           EMPNO
         3 SMITH            7369
         4 ALLEN            7499
         5 WARD             7521
         6 JONES            7566
         7 MARTIN           7654
         8 BLAKE            7698
         9 CLARK            7782
         2 SCOTT            7788
        10 KING             7839
        11 TURNER           7844
        12 ADAMS            7876
         1 JAMES            7900
        13 FORD             7902
        14 MILLER           7934
14 rows selected.You either use analytic ROW_NUMBER() as in my previous post - or you need to nest once again:
SQL> select rn, empno, ename
from (select rownum rn, ename, empno
          from ( select ename, empno
                    from emp
                order by empno))
where rn between 4 and 5
        RN      EMPNO ENAME
         4       7566 JONES
         5       7654 MARTIN
2 rows selected.

Question about using objects in SQL query.

I had posted this question in the SQL/PLSQL forum but I guess nobody took the time to understand exactly what I am asking so I decided to try here hoping to get the answer. So here is the thing:
I have created generic object type "tree" - the constructor takes as a parameter sql query which returns "node_id" and "parent_node_id" - this is all we need to have a tree. The object has all related to a tree structure member functions and one of them is "oldest_relative" (the tree may not be fully connected - it may be more like a set of many trees, so it's not necessary all nodes to have the same root).
I also have departments table with the following fields: department_id, parent_department_id, department_name,...
all records in the table w/out parent_departments (parent_department_id is null) are considered divisions.
Now if I run the following query:
SELECT "DEPARTMENT_ID", "PARENT_DEPARTMENT_ID", "DEPARTMENT_NAME", tree('select department_id "node_id", parent_department_id "parent_node_id" from departments').oldest_relative("DEPARTMENT_ID") "DIVISION_ID" FROM departments
my question is: Is the tree object created for every row or does Oracle somehow caches the object since the object itself is not changing but only the parameter for the oldest_relative member function.
The table only has a few hunderd records and I can't see much of a difference in the execution time btw the query above and query like this:
SELECT "DEPARTMENT_ID", "PARENT_DEPARTMENT_ID", "DEPARTMENT_NAME", b.t.oldest_relative("DEPARTMENT_ID") "DIVISION_ID"
FROM departments left join (select tree('select department_id "node_id", parent_department_id "parent_node_id" from departments') t from dual) b on 1 = 1
where the object is clearly created just ones. (there is probably a better way to do it instead of this join)
Pls elaborate
George

Not exactly sure what the question is...
As I understand, you are comparing the following two constructor calls:
+select.. tree('select department_id "node_id", parent_department_id "parent_node_id" from departments').oldest_relative("DEPARTMENT_ID") ... FROM ...+
+select tree('select department_id "node_id", parent_department_id "parent_node_id" from departments') ... FROM dual+
These calls are the same (besides the 1st one doing an immediate implicit call to a method of the object being constructed). The number of times these are being called depends on the number of times this SQL projection is applied - and that is determined by the number of rows being projected by the SELECT.
The latter one is against DUAL which only has a single row. So that constructor is only called once. The former can be against multiple rows. Obviously a single pass through a data set is desirable - which means that the sub-select (use by the constructor) should ideally only be executed once and makes the 2nd method more desirable.
However, I'm having a hard time understanding why the class and constructor are at all needed. Why pull data from a SQL table into PL memory? As that is where the class will need to cache and store the results of that construction parameter SQL SELECT. And once in PL memory, how does the object effectively access, search and use this cached data?
PL memory is expensive. It is not sharable.
PL data structures are primitive - these cannot be compared to SQL structures in the form of tables and columns that can be stored in a number of physical ways (index tables, hash tables, partitioned tables, clustered tables, etc). Cannot be indexed like SQL structures using B+tree, bitmap, function and other indexing methods. Cannot be sorted, grouped, analysed, filtered, etc like SQL structured data.
It makes very little sense to read SQL data into a class and then deal with that data, cached in expensive PL memory, using primitive PL structures.
And the same would be true if Java or C# was used. The best place for data is inside the SQL engine. That is the most superior environment for data. It can processes more data, scale better, perform better and offer more flexibility, than pulling data from it and then crunch that data using PL or Java or C#.

How to compare 2 dates in SQL Server 2000 DB using Java?

How do you compare 2 dates in SQL Server 2000 DB using Java?
Let's say we have two fields: Date Reported and Target Finish Date.
Date Reported is 09-10-2004 09:55:55: PM
Target Finish Date is 09-12-2004 11:59:59: PM
What i want to happen is i want to convert both dates to days and get the difference of the two.
can SQL Server 2000 DB do this?

it doesnt wrk.
ok here's what i did:
iv tested a simple code for this case.
I created a table name tblDate which has 3 columns namely date_ID, date_From (datatype datetime), date_To (datatype datetime).
I inserted 1 row: date_ID has the value 1, date_From has the value 10/22/2004, and date_To has the value 10/24/2004.
i run the java code below:
int days = 0;
          String query = "SELECT date_From, date_To cast(date_From-date_To AS int) AS Diff FROM tblZoo WHERE date_ID = '1'";
          try
               DBConnect db = new DBConnect();
               db.openCon();
               ResultSet rs = db.execute(query);
               while(rs.next())
                    days = rs.getInt("Diff");
               db.closeCon();
          catch (Exception ex)
               System.out.println("Error on Execution: " + ex);
          return days;___________
an error occurred: Error on Execution: java.lang.nullpointerexception

Problem in sql query because of order by clause

Hi All,
I am facing a one problem in my one sql query.I am using Oracle 10gR2.
Query is given below:
SELECT t1.ename
        FROM T1, T2
       WHERE T1.EMPNO = 1234
         AND T1.ACCOUNTNO = T2.ACCOUNTNO
         AND T1.SEQ = T2.SEQ
       ORDER BY T2.SEQThe Plan of the query is :
| Id | Operation                     | Name                 | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                      |     2 |   218 | 11716   (1)| 00:00:41 |
|* 1 | TABLE ACCESS BY INDEX ROWID | T1                   |     1 |    89 |     1   (0)| 00:00:01 |
|   2 |   NESTED LOOPS                |                      |     2 |   218 | 11716   (1)| 00:00:41 |
|* 3 |    TABLE ACCESS BY INDEX ROWID| T2                   |     2 |    40 | 11715   (1)| 00:00:41 |
|   4 |     INDEX FULL SCAN           | PK_T2_SEQ            | 58752 |       |   122   (5)| 00:00:01 |
|* 5 |    INDEX RANGE SCAN           | FK_ACCOUNTNO         |     3 |       |     0   (0)| 00:00:01 |
----------------------------------------------------------------------------------------------------Now i want to reduce the time of this query.
If i am removing Order by clause from query than performance of the query is totally perfect but with order by clause its taking a time.
I have already set SORT_AREA_SIZE but still nothing is improving.
Welcome and thanks for your suggestions.
Thanks,
Edited by: BluShadow on 23-Jun-2011 07:55
added {noformat}{noformat} tags and formatted explain plan to make it readable. Please see {message:id=9360002} for details on how to post code and data

Hi,
There are a couple of things I do not understand.
1. Why don't you put {noformat}{noformat} around your code, it makes it so much easier to read, especially your explain plan
2. You claim that the ORDER BY is problematic compared to no order by. Then why do you choose to post only one plan?
3. It is hard to understand how your tables relate, and which indexes you have and which you don't.
- PK_T2_SEQ, does this mean that SEQ alone is primary key of T2?
- If SEQ is primary key of T2, why do you join on accountno, seq and not just seq?
- If SEQ is primary key of T2 one of the tables is denormalized.
4. FK_ACCOUNTNO, is this an index on accountno, alone?
- Or is this AccountNo, Seq?
5. Is there no index on T1.EMPNO?
Above could of course just be a case of my not understanding the names of your indexes.
So, here are my guesses:
Above plan is for the ORDER BY query. That means the optimizer, has chosen to full scan PK_T2_SEQ, since data is then read according to the ORDER BY.
(This could be a bad choice)I
You could try and order by t1.seq, instead. Result should be the same.
Regards
Peter

SQL Query (challenge)

Hello,
I have 2 tables of events E1 and E2
E1: (Time, Event), E2: (Time, Event)
Where the columns Time in both tables are ordered.
Ex.
   E1: ((1, a) (2, b) (4, d) (6, c))
   E2: ((2, x) (3, y) (6, z))
To find the events of both tables at the same time it is obvious to do & join between E1 and E2
Q1 -> select e1.Time, e1.Event, e2.Event from E1 e1, E2 e2 where e1.Time=e2.Time;
The result of the query is:
((2, b, x) (6, c, z))
Given that there is no indexes for this tables, an efficient execution plan can be a hash join (under conditions mentioned in Oracle Database Performance Tuning Guide Ch 14).
Now, the hash join suffers from locality problem if the hash table is large and does not fit in memory; it may happen that one block of data is read in memory and swaped out frequently.
Given that the Time columns are sorted is ascending order, I find the following algorithm, known idea in the literature, apropriate to this problem; The algorithm is in pseudocode close to pl/sql, for simplicity (I home the still is clear):
-- start algorithm
open cursors for e1 and e2
loop
if e1.Time = e2.Time then
     pipe row (e1.Time, e1.Event, e2.Event);
     fetch next e1 record
     exit when notfound
     fetch next e2 record
      exit when notfound
else
     if e1.Time < e2.Time then
        fetch next e1 record
        exit when notfound
     else
        fetch next e2 record
        exit when notfound
     end if;
end if;
end loop
-- end algorithm
As you can see the algorithm does not suffer from locality issue since it iterates sequentially over the arrays.
Now the problem: The algorithm shown below hints the use of pipelined function to implement it in pl/sql, but it is slow compared to hash join in the implicit cursor of the query shown above (Q1).
Is there an implicit SQL query to implement this algorithm? The objective is to beat the hash join of the query (Q1), so queries that use sorting are not accepted.
A difficulty I foound is that the explicit cursor are much slower that implict ones (SQL queries)
Example: for a large table (2.5 million records)
create table mytable (x number);
declare
begin
open c for 'select 1 from mytable';
fetch c bulk collect into l_data;
close c;
dbms_output.put_line('couont = '||l_data.count);
end;
is 5 times slower then
select count(*) from mytable;
I do not understand why it should be the case, I read that this may be explained because pl/sql is interpreted, but I think this does not explain the whole issue. May be because the fetch copies data from one space to your space and this takes a long time.

Hi
A correction in the algorithm:
-- start algorithm
open cursors for e1 and e2
fetch next e1 record
fetch next e2 record
loop
exit when e1%notfound
exit when e2%notfound
if e1.Time = e2.Time then
     pipe row (e1.Time, e1.Event, e2.Event);
     fetch next e1 record
     fetch next e2 record
else
     if e1.Time < e2.Time then
        fetch next e1 record
     else
        fetch next e2 record
     end if;
end if;
end loop
-- end algorithm
Best regards
Taoufik

Looking for and SQL query to match CTI OS agent login ID with the Directory Number (instrument)

Hi All,
I am looking for an SQL query to request the HDS database to find out which Directory Number / instrument was associated with a specific CTI OS agent login ID.
Has anyone done such a query before ?
Thanks and Regards
Nick

Hi,
this should work in 8.0 and 8.5:
SELECT
ag.PeripheralNumber AS [LoginID],
al.Extension,
al.LogoutDateTime
FROM [instance]_hds.dbo.Agent_Logout al
JOIN [instance]_awdb.dbo.Agent ag ON al.SkillTargetID = ag.SkillTargetID
Of course, replace [instance] with the ICM instance.
The query returns a table with three columns, first is the login ID aka PeripheralNumber, Extension is... well, the agent's extension, and LogoutDateTime is the timestamp when the agent logged out.
G.

Comparing 2 Timestamps in an SQL Query

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