Area calendar: date range
HelloI am trying to add tracks to a report of the calendar.
Here is exactly what I'm trying to achieve...
http://www.sumneva.com/Apex/f?p=15000:305:0
Does anyone know how this?
I tried messign autour with the date on the calendar, calendar end date, but I do not seem to get anywhere?
Thank you
Richard
Hello
I did it just now; do not use an application process as has been suggested in this thread, but created a procedure as follows:
create or replace
procedure json (p_app_id in varchar2, p_session in varchar2, p_debug in varchar2, p_category_id IN NUMBER default -1, start_date in varchar2 default null, end_date in varchar2 default null) as
--Same type as the internal apex vc_assoc_arr, just incase we can just use that later
TYPE vc_assoc_arr is table of varchar2(32767) index by varchar2(255);
event vc_assoc_arr;
v_output clob;
v_buffer pls_integer := 255;
v_index pls_integer := 1;
function json_escape(p_text varchar2) return varchar2 is
--TODO: Correctly escape as per json specs
begin
return REGEXP_REPLACE(p_text,'[[:space:]]',' ');
end;
function jsonify_array(p_arr vc_assoc_arr, p_nest number := 0) return varchar2 is
v_json_array VARCHAR2(32767) := '';
v_newline VARCHAR2(10) := ','||CHR(10);
v_key VARCHAR2(255);
v_nesting VARCHAR2(100) := LPAD(' ', p_nest, ' ');
begin
v_key := p_arr.FIRST;
WHILE v_key IS NOT NULL LOOP
v_json_array := v_json_array||v_nesting||'"'||v_key||'": "'||json_escape(p_arr(v_key))||'"'||v_newline;
v_key := p_arr.NEXT(v_key);
END LOOP;
return REGEXP_REPLACE(v_json_array,v_newline||'$');
end;
begin
owa_util.mime_header('text/html', false);
owa_util.http_header_close;
--Because the JSON needs to return an array, it needs to return in the format
--[{"property1" : "value1", "property2":"value2"},{"property1" : "value1", "property2":"value2"}]
v_output := '[';
for e in (select e.event_id, e.title, e.start_date, e.end_date, e.description, e.category
from v_event e
where (e.category_id = p_category_id or p_category_id = -1 )
and (e.start_date > sysdate-365 and e.start_date < sysdate+365)) LOOP --only return events that occur a year either side of today's date
event('id') := e.event_id;
event('title') := e.title;
event('start') := to_char(e.start_date, 'yyyy-mm-dd');
event('end') := to_char(e.end_date, 'yyyy-mm-dd');
event('className') := replace(e.category, ' ', '');
event('url') := 'f?p='||p_app_id||':5:'||p_session||'::'||p_debug||'::P5_EVENT_ID:'||e.event_id;
v_output := v_output || '{';
v_output := v_output || jsonify_array(event,2);
v_output := v_output || '},';
END LOOP;
v_output := substr(v_output, 1, dbms_lob.getlength(v_output)-1);--strip away the last comma
v_output := v_output || ']';
--print out the contents of output
for i in 1..ceil(dbms_lob.getlength(v_output)/v_buffer) loop
htp.prn(substr(v_output,v_index,v_buffer));
v_index := v_index + v_buffer;
end loop;
end;
I spent in the application and the session only id for proposed to provide a detailed link. You also NEED to have the parameters start and end - but the default (from the fullCalender.js) is start and end, which will not because they are reserved words, that's why they have been renamed 'start_date' and 'end_date' respectively; Also must be matched to the actual fullCalendar.js file; There is a section:
// event ajax
lazyFetching: true,
startParam: 'start_date', --modify these two lines to be in the parameter specification of the procedure
endParam: 'end_date',
Also in comment the following code in the fullcalendar.js file (it creates a parameter _ used for the cache - so you can comment out this line, or include this parameter in the procedure):
cache: options.cacheParam || false, // don't let jquery prevent caching if cacheParam is being used
And then the call to generate the real schedule looks like this:
$(document).ready(function(){
$('#calendar').fullCalendar({
events: "&OWNER..json?p_app_id=&APP_ID.&p_session=&SESSION.&p_debug=&DEBUG.&p_category_id=&P1_FILTER."
});
});
Of course, you should be at your request of slider to suit your table - I also have my events classified by color, which probably do not need you (which is also one of the parameters of the proceedings, once again if you do not need, just remove this last parameter). And the grant procedure, it can be called.
grant execute on json to apex_public_user; --where json is the name of the procedure
Hope that helps.
Van
Trent
Published by: tr3nton on September 18, 2010 19:49
Published by: tr3nton on September 18, 2010 19:56
Tags: Database
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--------------------------------------------------------
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Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8940, 'XX2444', 12810,1, to_date('28-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8941, 'XX2444', 12810,1, to_date('07-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8942, 'XX2444', 12810,1, to_date('14-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8943, 'XX2444', 12810,1, to_date('21-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8977, 'XX2444', 12810,1, to_date('04-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8978, 'XX2444', 12810,1, to_date('11-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8979, 'XX2444', 12810,1, to_date('11-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8980, 'XX2444', 12810,1, to_date('18-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8981, 'XX2444', 12810,1, to_date('18-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8982, 'XX2444', 12810,1, to_date('25-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8983, 'XX2444', 12810,1, to_date('25-JUN-15','DD-MON-RR'));
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Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8972, 'XX2444', 12810,1, to_date('30-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8973, 'XX2444', 12810,1, to_date('30-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8974, 'XX2444', 12810,1, to_date('07-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8975, 'XX2444', 12810,1, to_date('28-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8951, 'XX2444', 12810,1, to_date('12-FEB-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8952, 'XX2444', 12810,1, to_date('19-FEB-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8954, 'XX2444', 12810,1, to_date('26-FEB-15','DD-MON-RR'));
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Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8956, 'XX2444', 12810,1, to_date('05-MAR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8957, 'XX2444', 12810,1, to_date('05-MAR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8958, 'XX2444', 12810,1, to_date('12-MAR-15','DD-MON-RR'));
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Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8960, 'XX2444', 12810,1, to_date('19-MAR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8961, 'XX2444', 12810,1, to_date('19-MAR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8962, 'XX2444', 12810,1, to_date('26-MAR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8963, 'XX2444', 12810,1, to_date('26-MAR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8964, 'XX2444', 12810,1, to_date('02-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8965, 'XX2444', 12810,1, to_date('02-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8966, 'XX2444', 12810,1, to_date('09-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8967, 'XX2444', 12810,1, to_date('09-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8968, 'XX2444', 12810,1, to_date('16-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8969, 'XX2444', 12810,1, to_date('16-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8970, 'XX2444', 12810,1, to_date('23-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8971, 'XX2444', 12810,1, to_date('23-APR-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8976, 'XX2444', 12810,1, to_date('04-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8986, 'XX2444', 12810,1, to_date('09-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8987, 'XX2444', 12810,1, to_date('09-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9041, 'XX2444', 12810,1, to_date('16-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9042, 'XX2444', 12810,1, to_date('16-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9043, 'XX2444', 12810,1, to_date('23-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9044, 'XX2444', 12810,1, to_date('23-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9045, 'XX2444', 12810,1, to_date('30-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9046, 'XX2444', 12810,1, to_date('30-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9047, 'XX2444', 12810,1, to_date('06-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9048, 'XX2444', 12810,1, to_date('06-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8944, 'XX2444', 12810,1, to_date('22-JAN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8945, 'XX2444', 12810,1, to_date('22-JAN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8946, 'XX2444', 12810,1, to_date('29-JAN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8947, 'XX2444', 12810,1, to_date('29-JAN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8948, 'XX2444', 12810,1, to_date('05-FEB-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8949, 'XX2444', 12810,1, to_date('05-FEB-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (8950, 'XX2444', 12810,1, to_date('12-FEB-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9527, 'XX2444', 12810,1, to_date('13-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9528, 'XX2444', 12810,1, to_date('13-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (9529, 'XX2444', 12810,1, to_date('13-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6739, 'YY7223', 11093,8, to_date('15-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6740, 'YY7223', 11093,8, to_date('21-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6741, 'YY7223', 11093,8, to_date('22-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6742, 'YY7223', 11093,8, to_date('25-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6743, 'YY7223', 11093,8, to_date('26-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6744, 'YY7223', 11093,8, to_date('27-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6745, 'YY7223', 11093,1, to_date('04-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6746, 'YY7223', 11093,1, to_date('11-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6747, 'YY7223', 11093,1, to_date('18-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6748, 'YY7223', 11093,1, to_date('25-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6749, 'YY7223', 11093,11, to_date('01-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6750, 'YY7223', 11093,11, to_date('15-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (6751, 'YY7223', 11093,10, to_date('01-JUL-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11017, 'YY7223', 11093,1, to_date('07-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11018, 'YY7223', 11093,1, to_date('14-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11019, 'YY7223', 11093,1, to_date('21-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11020, 'YY7223', 11093,1, to_date('28-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11021, 'YY7223', 11093,1, to_date('04-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11022, 'YY7223', 11093,1, to_date('11-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11023, 'YY7223', 11093,1, to_date('18-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11024, 'YY7223', 11093,1, to_date('25-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11025, 'YY7223', 11093,10, to_date('31-MAY-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (11026, 'YY7223', 11093,10, to_date('30-JUN-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13115, 'YY7223', 11093,1, to_date('13-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13201, 'YY7223', 11093,1, to_date('20-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13287, 'YY7223', 11093,1, to_date('27-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13373, 'YY7223', 11093,10, to_date('08-SEP-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13489, 'YY7223', 11093,8, to_date('01-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13490, 'YY7223', 11093,8, to_date('02-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13491, 'YY7223', 11093,8, to_date('03-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13492, 'YY7223', 11093,8, to_date('04-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13493, 'YY7223', 11093,8, to_date('05-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13494, 'YY7223', 11093,8, to_date('06-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13495, 'YY7223', 11093,8, to_date('07-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13496, 'YY7223', 11093,8, to_date('08-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13497, 'YY7223', 11093,8, to_date('09-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13498, 'YY7223', 11093,8, to_date('10-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13499, 'YY7223', 11093,8, to_date('11-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13500, 'YY7223', 11093,8, to_date('12-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13501, 'YY7223', 11093,8, to_date('13-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13502, 'YY7223', 11093,8, to_date('14-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13503, 'YY7223', 11093,8, to_date('15-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13504, 'YY7223', 11093,8, to_date('16-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13505, 'YY7223', 11093,8, to_date('17-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13506, 'YY7223', 11093,8, to_date('18-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13507, 'YY7223', 11093,8, to_date('19-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13508, 'YY7223', 11093,8, to_date('20-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13509, 'YY7223', 11093,8, to_date('21-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13510, 'YY7223', 11093,8, to_date('22-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13511, 'YY7223', 11093,8, to_date('23-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13512, 'YY7223', 11093,8, to_date('24-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13513, 'YY7223', 11093,8, to_date('25-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13514, 'YY7223', 11093,8, to_date('26-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13515, 'YY7223', 11093,8, to_date('27-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13516, 'YY7223', 11093,8, to_date('28-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13517, 'YY7223', 11093,8, to_date('29-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13518, 'YY7223', 11093,8, to_date('30-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13519, 'YY7223', 11093,8, to_date('31-AUG-15','DD-MON-RR'));
Insert into DTS_FORM_SAMPLE (ID, CLOCK_NUMBER, EMP_ID, REPORT_TYPE, SUB_DATE) values (13030, 'YY7223', 11093,1, to_date('06-AUG-15','DD-MON-RR'));
--------------------------------------------------------
-Table DTS_FORM_SAMPLE constraints
--------------------------------------------------------
CHANGE ALTER TABLE 'DTS_FORM_SAMPLE' ('ID' ENABLE NOT NULL);
/
Or more simple:
Select emp_id, w.wk, to_char (wk, 'ww') x
from (select trunc (date ' 2015-01-01' + 7 * (level - 1), 'ww') wk)
of the double
connect by level<=>=>
) o
left outer join
s dts_form_sample
by (emp_id) partition
We trunc (s.sub_date, 'ww') = w.wk
where sub_date is null
order to emp_id,
x
/
EMP_ID WK X
---------- --------- --
11093 1ST JANUARY 15 01
11093 8 JANUARY 15 02
11093 15 JANUARY 15 03
11093 22 JANUARY 15 04
11093 29 JANUARY 15 05
11093 5 FEBRUARY 15 06
11093 12 FEBRUARY 15 07
11093 19 FEBRUARY 15 08
11093 26 FEBRUARY 15 09
11093 5 MARCH 15 10
11093 12 MARCH 15 11EMP_ID WK X
---------- --------- --
11093 19 MARCH 15 12
11093 26 MARCH 15 13
11093 2 APRIL 15 14
11093 9 APRIL 15 15
11093 16 APRIL 15 16
11093 23 APRIL 15 17
11093 30 APRIL 15 18
11093 37 15 - SEP - 10
17-SEVEN 11093.-15 38
24-SEVEN 11093.-15 39
11093 1 OCTOBER 15 40EMP_ID WK X
---------- --------- --
11093 8 OCTOBER 15 41
11093 15 OCTOBER 15 42
11093 22 OCTOBER 15 43
11093 29 OCTOBER 15 44
11093 5 NOVEMBER 15 45
11093 12 NOVEMBER 15 46
11093 19 NOVEMBER 15 47
11093 26 NOVEMBER 15 48
11093 3 DECEMBER 15 49
11093 10 DECEMBER 15 50
11093 17 DECEMBER 15 51EMP_ID WK X
---------- --------- --
11093 24 DECEMBER 15 52
11093 31 DECEMBER 15 53
12810 1ST JANUARY 15 01
12810 8 JANUARY 15 02
12810 15 JANUARY 15 03
12810 27 AUGUST 15 35
12810 15 - SEP - 03 36
12810 37 15 - SEP - 10
17-SEVEN 12810.-15 38
24-SEVEN 12810.-15 39
12810 1 OCTOBER 15 40EMP_ID WK X
---------- --------- --
12810 8 OCTOBER 15 41
12810 15 OCTOBER 15 42
12810 22 OCTOBER 15 43
12810 29 OCTOBER 15 44
12810 5 NOVEMBER 15 45
12810 12 NOVEMBER 15 46
12810 19 NOVEMBER 15 47
12810 26 NOVEMBER 15 48
12810 3 DECEMBER 15 49
12810 10 DECEMBER 15 50
12810 17 DECEMBER 15 51EMP_ID WK X
---------- --------- --
12810 24 DECEMBER 15 52
12810 31 DECEMBER 15 5357 selected lines.
SQL >
However OP question must answer is start of week date.
SY.
-
GROUP BY date range to identify duplicates revisited!
Good afternoon
It is a continuation of the previous discussion, I previously created GROUP BY date range to identify duplicates
Your help with the following would be appreciated (examples of data below)
I've highlighted what I mark as returned to double as below:
Definition of duplicate (However, this is slightly different to the previous post)
the same account_num
maximum 20 days apart tran_effective_date
tran_processed_date maximum 10 days apart
the same tran_amount
However, I do not want to return a duplicate if they have both a tran_priced_date filled.
So, in light of the foregoing, I don't expect the following account_numbers to be marked as duplicate:
N100283 - one of the records has populated trab_priced_date
N101640 - none of the records have the tran_priced_date filled
N102395 - same as N101640
N102827 - same as N101640
N108876 - although the two documents have the populated tran_priced_date, the tran_effective_dates are more than 20 days apart.
BUT for the rest of the accounts, N100284 and N102396 I want to execute the following logic
Compare the 3rd rank in 4th place and ask the following questions:
Is tran_effective_date to a maximum of 20 days out?
Is tran_processed_date maximum 10 days apart?
If yes then report it as dupe
Compare line 4 to 5, then ask the same question until you get to the line 4 or 5. When everything is done, I want to examine only the transactions that have the status of normal and if the above question is true for both and then return to my game of result as dupes.
I hope that makes sense!
BEGIN EXECUTE IMMEDIATE 'DROP TABLE samp_data'; EXCEPTION WHEN OTHERS THEN IF SQLCODE = -942 THEN DBMS_OUTPUT.put_line(''); ELSE RAISE; END IF; END; / CREATE TABLE samp_data ( ACCOUNT_NUM VARCHAR2(17), TRAN_ID NUMBER(10), TRAN_TYPE VARCHAR2(50), TRAN_EFFECTIVE_DATE TIMESTAMP(6), TRAN_PROCESSED_DATE TIMESTAMP(6), TRAN_STATUS VARCHAR2(17), TRAN_PRICED_DATE TIMESTAMP(6), TRAN_AMOUNT NUMBER(13,2) ); / Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100283',140119178,'Regular With',to_timestamp('01-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.34.235000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),200); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE,TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100283',140158525,'Regular With',to_timestamp('13-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.39.14.090000000 AM','DD-MON-RR HH.MI.SS.FF AM'),'Normal', null,200); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100284',140118826,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.19.072000000 AM','DD-MON-RR HH.MI.SS.FF AM'),'Normal', to_timestamp('20-MAY-15 03.25.05.438000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100284',140158120,'Regular With',to_timestamp('06-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('23-MAY-15 08.38.42.064000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N100284',140158120,'Regular With',to_timestamp('06-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('02-JUN-15 08.38.42.064000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('31-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),450); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N101640',140118957,'Regular With',to_timestamp('18-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.25.015000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,120); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N101640',140158278,'Regular With',to_timestamp('22-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.56.228000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,130); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102395',140118842,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.19.665000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,250); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102395',140158235,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.53.093000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,250); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140118823,'Regular With',to_timestamp('09-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('18-MAY-15 07.00.18.931000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('19-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140158099,'Regular With',to_timestamp('16-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('24-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140158099,'Regular With',to_timestamp('16-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('29-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('30-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140158099,'Regular With',to_timestamp('12-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('30-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102396',140158099,'Regular With',to_timestamp('14-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('23-MAY-15 08.38.39.443000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Reversed', to_timestamp('30-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),750); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102827',140118850,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('22-MAY-15 07.00.20.045000000 AM','DD-MON-RR HH.MI.SS.FF AM') , 'Normal',null,157.84); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N102827',140158118,'Regular With',to_timestamp('03-JUN-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('26-MAY-15 08.38.41.861000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', null,157.84); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N108876',139840720,'Regular With',to_timestamp('01-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('11-MAY-15 08.35.34.646000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('20-MAY-15 03.25.05.438000000 AM','DD-MON-RR HH.MI.SS.FF AM'),1000); Insert into samp_data (ACCOUNT_NUM,TRAN_ID,TRAN_TYPE,TRAN_EFFECTIVE_DATE,TRAN_PROCESSED_DATE, TRAN_STATUS, TRAN_PRICED_DATE,TRAN_AMOUNT) values ('N108876',139889880,'Regular With',to_timestamp('22-MAY-15 12.00.00.000000000 AM','DD-MON-RR HH.MI.SS.FF AM'),to_timestamp('12-MAY-15 08.49.29.080000000 AM','DD-MON-RR HH.MI.SS.FF AM'), 'Normal', to_timestamp('21-MAY-15 03.26.18.954000000 AM','DD-MON-RR HH.MI.SS.FF AM'),1000); / select * from samp_data ORDER BY account_num, tran_effective_date, tran_processed_date;
PL continue the discussion in your original post
-
I wonder if there is no way to do a culture customized for my site hosted with BC's domain? I work with a minority language, and I need to have calendar dates in this language.
Is this possible with a widget in Muse? -to change my language in this particular calendar, t.i.: may is in my language, and Monday is my language
This stuff is usually coded in the underlying JavaScript widget, derived from locale hard your computer or browser / language setting or gleaned from the respective server configuration information, so most likely, it can not be done, if not already covered by one of these methods. Hacking jQuery would of course always possible, but the other options are beyond your control, anyway.
Mylenium
-
Hi Experts,
A very happy new year to all of you (a little in advance)!
I have a table where I have the id of employee and the task assigned with the start dates and end dates. Overlap in the dates of the tasks is a data delivers however I know how to spot them and eliminate. There is therefore no date of tasks that overlap
Employee_id
Task_No
Task_Start_date
Task_End_Date
Examples of data
1 T1 1 January 2014 February 28, 2014
1 T2 March 1, 2014 31 December 2014
2 T1 23 January 2014 31 December 2014
2 T2 1 January 2015 December 31, 2073 (means end of time)
3 T3 1 January 2014 July 15, 2014
3 T4 August 1, 2014 31 December 2014
T5 4 1 January 2014 December 31, 2073
I want to design a query where I provide the end date and it will list all the employees that are free for the same day from 1 January 2014. Thus, for example, if I give December 31, 2014, it will list the
EmpId (first day where the employee is free)
2 January 1, 2014
3 July 16, 2014
If I give the end = end date of time(31-Dec-2013), result-
EmpId (first day where the employee is free)
1 January 1, 2015
2 January 1, 2014
3 July 16, 2014
If I give the end = date January 31, 2014, expected - result
EmpId (first day where the employee is free)
1 January 1, 2015
I conceived after the request, but he intercepted not 2 employee ID. Also, it provides no flexibility to change end date-
Select *.
from (select employe_id,
task_start_date,
task_end_date,
lag (task_end_date, 1, task_start_date) on prev_end_date (partition by employee_id arrested by task_start_date)
of shop.employee_tasks
where task_end_date > = trunc (sysdate))
where task_start_date - prev_end_date > 1
Thanks in advance!
Kind regards
This is an example of what I call the query 'free time': you have the dates when you are busy and you want the dates where you are free.
You can find a nice solution for the problem of base here: ask Tom "SQL Query to find gaps in the date ranges" (search for solution of Anthony Boucher). Please note that this solution works even with the date ranges overlap.
To apply the solution here, first create the test data (please do it yourself in the following questions).
create table t(Employee_id, task_no, Task_Start_date, task_end_date) as select 1, 'T1', to_date('01-jan-2014'), to_date('28-feb-2014') from dual union all select 1, 'T2', to_date('01-Mar-2014'), to_date('31-Dec-2014') from dual union all select 2, 'T1', to_date('23-jan-2014'), to_date('31-dec-2014') from dual union all select 2, 'T2', to_date('01-jan-2015'), to_date('31-dec-2073') from dual union all select 3, 'T3', to_date('01-jan-2014'), to_date('15-jul-2014') from dual union all select 3, 'T4', to_date('01-aug-2014'), to_date('31-dec-2014') from dual union all select 4, 'T5', to_date('01-Jan-2014'), to_date('31-Dec-2073') from dual;
In the query, you must add records for yesterday and for the "end date" you want. This allows you to "free time" before and after the date ranges in your table.
Now, you partition by order of Task_Start_date and employe_id. Using the analytical function of the max (task_end_date), you get the last date of end so far. Add 1 and you get the first time (maybe). To make sure that the date is free, it must be before the next start date.
variable end_date varchar2(64) exec :end_date := '31-Dec-2073'; -- with boundaries as ( select trunc(sysdate)-1 task_start_date, trunc(sysdate)-1 task_end_date from dual union all select to_date(:end_date)+1, to_date(:end_date)+1 from dual ), data as ( select * from t where task_end_date >= trunc(sysdate) and task_start_date < :end_date union all select distinct a.employee_id, null, b.task_start_date, b.task_end_date from t a, boundaries b ) select employee_id, min(free_start) free_start from ( select employee_id, max(task_end_date) over (partition by employee_id order by task_start_date)+1 free_start, lead(task_start_date) over (partition by employee_id order by task_start_date)-1 free_end from data ) where free_start <= free_end group by employee_id;
EMPLOYEE_ID FREE_START 1 JANUARY 1, 15 2 1 JANUARY 14 3 16 JULY 14 -
Group by with date range.
Hello
I'm looking for an efficient use of the group however the date range.
I have a table of transaction as below.
Date customer_no amount_paid
---------------------------------------------------------------
1st December 13 001 500
2 December 13 001 360
9 December 13 001 200
2 November 13 001 360
9 November 13 001 200
2 November 13 001 360
9 October 13 001 200
2 October 13 001 360
9 October 13 001 200
02 sep-13 001 360
200 001 13 - Sep - 09
............... etc.
I would like to see sum (amount_paid) by past varies from 1 to 30 days 31-60 days, 61 to 90 days.
Here are the results expected.
Amount_paid duration of customer
--------------------------------------------------------------
001 1 - 30 980
001-60 450 31
001 1200 61 - 90
002 1 - 30 300
002 31-60 490
002 61-90 320
003 1 - 30 450
......................etc.
I group by customer only the date range (1-30, 31-60, 61 - 90.etc).
Can someone make me a request for it.
Thank you...
Hedde.
Select customer_no,
case
When trunc (sysdate) - trunc (dt)< 31="" then="">
When trunc (sysdate) - trunc (dt)< 61="" then="">
another 61-90 '
the end time,
Sum (amount_paid) amount_paid
from your_table
where dt between sysdate - dt between 0 and 90
Customer_no group,
case
When trunc (sysdate) - trunc (dt)< 31="" then="">
When trunc (sysdate) - trunc (dt)< 61="" then="">
another 61-90 '
end
/
SY.
-
Help, please. I lost the data calendar on the desktop. Tried to sync to portable (M500) checked to make sure that the function "Handheld overrides Desktop" was on, but now I have NO calendar data on either. OMG! Is it in a file recovery somewhere? Maybe a backup file?
If you use Palm desktop 6.2, the data files are saved in the .mdb format.
Rename the file to go to datebook.old. Rename the datebok datebook.mdb.bak and see if the data returns.
I see in your message that hotsync hangs on the calendar category. Because you have to kill the application in the Task Manager, it says that the Calendar database can have corruption.
Click on the following link for the program called DbFixiT. This program has a trial version that you can download and install on your Palm OS device. The trial version will search the database and then to declare the corruption. You can then search records at the origin of the problem and fix them yourself or you can buy the program and do it automatically repair records.
http://www.pimlicosoftware.com/dbfixit.htm
When you install DbFixIt, disable (set to "do nothing") the conduct of calendar so it won't hang during the synchronization process. If you purchase the program, search for 'blobs' in the calendar. These can cause synchronization problems.
Message relates to: Palm i705
-
SUM (case use this structure to get average values on the date range
I use:
Oracle SQL Developer (3.0.04) build hand - 04.34 Oracle Database 11 g Enterprise Edition 11.2.0.1.0 - 64 bit Production
How do we use the function sum with a structure of matter inside.
so I gave that looks like have an ID, date and value. I'm looking to get the day 7 medium for the date range of 04/01/2013 to 20/04/2013
* Please let me know if the table does not load.with t as ( select 1 ID_Key,to_date('4/1/2013','mm-dd-yyyy') date_val, 10 Value_num from dual union all select 1 ID_key,to_date('4/2/2013','mm-dd-yyyy'), 15 from dual union all select 1 ID_key,to_date('4/3/2013','mm-dd-yyyy'), 20 from dual union all select 1 ID_key,to_date('4/5/2013','mm-dd-yyyy'), 0 from dual union all select 1 ID_key,to_date('4/8/2013','mm-dd-yyyy'), 12 from dual union all select 1 ID_key,to_date('4/9/2013','mm-dd-yyyy'), 8 from dual union all select 1 ID_key,to_date('4/10/2013','mm-dd-yyyy'), 6 from dual union all select 1 ID_key,to_date('4/12/2013','mm-dd-yyyy'), 10 from dual union all select 1 ID_key,to_date('4/13/2013','mm-dd-yyyy'), 0 from dual union all select 1 ID_key,to_date('4/14/2013','mm-dd-yyyy'), 0 from dual union all select 1 ID_key,to_date('4/15/2013','mm-dd-yyyy'), 10 from dual union all select 1 ID_key,to_date('4/16/2013','mm-dd-yyyy'), 5 from dual union all select 1 ID_key,to_date('4/17/2013','mm-dd-yyyy'), 2 from dual union all select 1 ID_key,to_date('4/20/2013','mm-dd-yyyy'), 3 from dual union all select 2 ID_key,to_date('4/3/2013','mm-dd-yyyy'), 12 from dual union all select 2 ID_key,to_date('4/5/2013','mm-dd-yyyy'), 15 from dual union all select 2 ID_key,to_date('4/6/2013','mm-dd-yyyy'), 5 from dual union all select 2 ID_key,to_date('4/7/2013','mm-dd-yyyy'), 7 from dual union all select 2 ID_key,to_date('4/9/2013','mm-dd-yyyy'), 10 from dual union all select 2 ID_key,to_date('4/11/2013','mm-dd-yyyy'), 5 from dual union all select 2 ID_key,to_date('4/12/2013','mm-dd-yyyy'), 0 from dual union all select 2 ID_key,to_date('4/13/2013','mm-dd-yyyy'), 0 from dual union all select 2 ID_key,to_date('4/15/2013','mm-dd-yyyy'), 6 from dual union all select 2 ID_key,to_date('4/16/2013','mm-dd-yyyy'), 8 from dual union all select 2 ID_key,to_date('4/17/2013','mm-dd-yyyy'), 0 from dual union all select 2 ID_key,to_date('4/18/2013','mm-dd-yyyy'), 10 from dual union all select 2 ID_key,to_date('4/19/2013','mm-dd-yyyy'), 5 from dual )
I would get the average of 7 days, as long as there is date for the rank of enough previous dates, is it not, then it returns a null value.
the results should look like this
As you can see, there are gaps in the dates, the value is then processed by zeros for the 7Day_Avg and then ignored for the 7Day_Avg2 (not counted in the number of days on average do to no valu_num line)ID_Key date_val Value_num 7Day_Avg 7Day_Avg2 1 4/1/2013 10 null null 1 4/2/2013 15 null null 1 4/3/2013 20 null null 1 4/5/2013 0 null null 1 4/8/2013 12 6.71 11.75 1 4/9/2013 8 5.71 10.00 1 4/10/2013 6 3.71 6.50 1 4/12/2013 10 5.14 9.00 1 4/13/2013 0 5.14 7.20 1 4/14/2013 0 5.14 6.00 1 4/15/2013 10 4.86 5.67 1 4/16/2013 5 4.42 5.17 1 4/17/2013 2 3.85 4.50 1 4/20/2013 3 2.86 4.00 2 4/3/2013 12 null null 2 4/5/2013 15 null null 2 4/6/2013 5 null null 2 4/7/2013 7 5.57 9.75 2 4/9/2013 10 7.00 9.80 2 4/11/2013 5 6.00 8.40 2 4/12/2013 0 3.86 5.40 2 4/13/2013 0 3.14 4.40 2 4/15/2013 6 3.00 4.20 2 4/16/2013 8 2.71 3.80 2 4/17/2013 0 2.71 3.17 2 4/18/2013 10 3.43 4.00 2 4/19/2013 5 4.14 4.83
I tried something like this at first, but becomes "missing keyword" error
Should I have the structure outside the sum function?select t.*/, sum( case when date_val between :day2 - 6 and :day2 then value_num between date_val - 6 and date_val else null end ) as 7Day_avg form t
Any thoughts?
Published by: 1004407 on June 7, 2013 11:06Hello
If you want to calculate the average of the last 7 days, including the current day, then then RANGE should be 6 PRIOR, not 7.
Try this:
WITH got_min_date_val AS
(
SELECT id_key, date_val, value_num
MIN (date_val) compared to (AS min_date_val)
T
WHERE the date_val BETWEEN TO_DATE (April 1, 2013 ', "dd-mm-yyyy")
AND TO_DATE (April 20, 2013 ', "dd-mm-yyyy")
)
SELECT id_key, date_val, value_num
CASE
WHEN date_val > = min_date_val + 6
THEN SUM (value_num) OVER (PARTITION BY id_key
ORDER BY date_val
PRIOR TO TIER 6
)
/ 7
END AS avg_7_day
CASE
WHEN date_val > = min_date_val + 6
THEN AVG (value_num) OVER (PARTITION BY id_key
ORDER BY date_val
PRIOR TO TIER 6
)
END AS avg_7_day_2
OF got_min_date_val
ORDER BY id_key
date_val
;
Output:
ID_KEY DATE_VAL VALUE_NUM AVG_7_DAY AVG_7_DAY_2
---------- --------- ---------- ---------- ------------
1 1 APRIL 13 10
1 2 APRIL 13 15
1 APRIL 3, 13 20
1 5 APRIL 13 0
1 APRIL 8, 13 12 6.71 11.75
1 APRIL 9, 13 8 5.71 10.00
1 APRIL 10 13 6 3.71 6.50
1 12 APRIL 13 10 5.14 9,00
1 13 APRIL 13 0 5,14 7.20
1 14 APRIL 13 0 5,14 6.00
1 15 APRIL 13 10 4.86 5.67
1 16 APRIL 13 5 4.43 5.17
1 APRIL 17, 13 2 3.86 4.50
1 APRIL 20, 13 3 2.86 4.00
2 APRIL 3, 13 12
2 5 APRIL 13 15
2 6 APRIL 13 5
2 7 APRIL 13 7 5.57 9.75
2 9 APRIL 13 10 7,00 9.80
2 11 APRIL 13 5 6.00 8.40
2 12 APRIL 13 0 3.86 5.40
2 13 APRIL 13 0 3.14 4.40
2 15 APRIL 13 6 3.00 4.20
2 16 APRIL 13 8 2.71 3.80
2 17 APRIL 13 0 2.71 3.17
2 18 APRIL 13 10 3.43 4.00
2 APRIL 19, 13 5 4.14 4,83
Post edited by: FrankKulash
Sorry; I wanted to respond to OP, not Greg
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