Query internal within a select if statement
I would like to know how to write an if condition inside a select statement of the presentb.inventory_item_id in(
select distinct inventoryid
from lcm.sis_inventario_new
where fec_envio > to_date('28/01/2010','DD/MM/YYYY'))select b.inventory_item_id as id,
b.segment1 as c,
b.segment2 as "Código",
b.description as "Descripción",
tl.description as "Descripción Larga",
b.attribute1 as "Descripción Corta",
c.segment1 as "Departamento",c.segment2 as "Familia", c.segment3 as "Subfamilia",
b.creation_date as "Creado",
b.INVENTORY_ITEM_STATUS_CODE as "Status",
case b.attribute5 when '4' then 'Si' else 'No' end as "Pesado",
case b.inventory_item_id when in select distinct inventoryid
from lcm.sis_inventario_new
where fec_envio > to_date('28/01/2010','DD/MM/YYYY')) then 'Si' else 'No' end as "Existe"There are a number of ways, and the best solution for you will depend on several factors, including the index, the number of rows in the tables, etc..
Go using analytical functions;
with b as (
select rownum inventory_item_id from dual
connect by rownum <=2),
lcm as (
select 1 inventoryid, to_date('28/01/2000', 'DD/MM/YYYY') fec_envio from dual union all
select 1, to_date('31/12/2010', 'DD/MM/YYYY') from dual union all
select 2, to_date('28/01/2000', 'DD/MM/YYYY') from dual union all
select 2, to_date('28/01/2008', 'DD/MM/YYYY') from dual)
select b.inventory_item_id id,
case
when max(fec_envio) over(partition by b.inventory_item_id) >
to_date('28/01/2010', 'DD/MM/YYYY') then
'Si'
else
'No'
end as existe
from b, lcm
where b.inventory_item_id = lcm.inventoryid;
ID EXISTE
---------- ------
1 Si
1 Si
2 No
2 No
Tags: Database
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AnnHi, Ann.
Ann586341 wrote:
... I created a table to contain a simplified version of this viewThank you. It is much easier to work with.
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MONTHS NUM_HEARING NUM_EXITED_SUCCESS AVG_DAY_SUCCESS_EXIST NUM_EXITED_UNSUCCESS AVG_DAY_UNSUCCESS_EXIST ----------------- ----------- ------------------ --------------------- -------------------- ----------------------- AUG 2012 1 0 0 0 0 OCT 2012 1 0 0 2 35 SEP 2012 1 0 0 0 0 ALL 3 0 0 2 11.67I don't know why even I already filter all lines that the month is undefined, I still have a blank line in the result set.
This is the line for November. You do an outer join, in order to ensure that each value of am.month is displayed, even if it does not match what anyone in tbl. When it does not match anything, then all the columns tbl is supposed to provide will be NULL. You decide to view tbl. months, which is one of the following columns will be NULL. You should display mod. monmth instead.
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When you say "on behalf of the combined Court", do you mean the unconditional "upper (tbl.court_name) as"BBB "?
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Once again, in the case of lines that are present, even if they do not have the status of outer join, all of these columns will be NULL. Use NVL to map these nulls to 0.
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GROUP OF two expressions, which depend on each other: one for sorting and the other for display.
For the sort expression, you can use months as a DATE. (It seems that you have tried this, but commented on the ORDER BY clause in your query is before the FROM clause.) The ORDER BY clause is always at the end of the query, after the FROM clause.)
Another expression of sorting is the number you used to generate the first month. That's what I used below.Here's a way to get the results you requested:
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Output:
` AVG_ AVG_ NUM_ DAY_ NUM_ DAY_ NUM_ EXITED_ SUCCESS EXITED_ UNSUCCESS MONTHS HEARING SUCCESS _EXIST UNSUCCESS _EXIST --------- ------- ------- ---------- --------- ---------- AUG 2012 1 0 0 0 0 SEP 2012 1 0 0 0 0 OCT 2012 1 0 0 2 35 NOV 2012 0 0 0 0 0 All 3 0 0 2 8.75 -
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Hello
Need some suggestions and Tips how to query dynamically table via lov to report.
Scenario:
Table, TABLE_LIST, a tablename (table in DB) and filter (for where clause) column. The TABLENAME_LOVE is derived from the table TABLE_LIST.
D SELECT TABLENAME TABLENAME TABLE_LIST R
On Page 2, a select list item, page P2_TABLENAME use TABLENAME_LOV
All data tables in the table_list has an identical structure (columns, triggers, primary key and so on).
I want to have the query area of the report of the table based on selected LOV.
Example,
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WBR
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As
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TigerwapaHello
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And now wherever you are referring to report, you need to answer if it's IR or classic.Regarding your query, have you explored the kind of statement "SQL Query (body of function from PL/SQL returning SQL query)"?
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Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (396, 2359907137, 1, 2652584166, 16384, 4144); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (396, 2359907137, 1, 2652584166, 32768, 330); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (396, 2359907137, 1, 2652584166, 65536, 662); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (396, 2359907137, 1, 2652584166, 131072, 9); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (396, 2359907137, 1, 2652584166, 262144, 28); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (396, 2359907137, 1, 2652584166, 524288, 22); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 1, 47091161); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 2, 7398497); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 4, 1049664); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 8, 2386574); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 16, 12454531); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 32, 6701651); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 64, 934831); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 128, 656657); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 256, 213223); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 512, 74218); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 1024, 6167); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 2048, 1869); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 4096, 2237); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 8192, 3317); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 16384, 4779); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 32768, 358); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 65536, 663); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 131072, 12); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 262144, 47); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (397, 2359907137, 1, 2652584166, 524288, 29); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 1, 47100463); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 2, 7399116); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 4, 1049783); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 8, 2387726); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 16, 12459548); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 32, 6704135); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 64, 935351); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 128, 657496); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 256, 213525); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 512, 74515); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 1024, 6224); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 2048, 1898); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 4096, 2323); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 8192, 3503); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 16384, 5229); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 32768, 381); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 65536, 671); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 131072, 20); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 262144, 68); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (398, 2359907137, 1, 2652584166, 524288, 49); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 1, 86466); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 2, 20937); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 4, 3734); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 8, 11128); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 16, 58220); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 32, 33902); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 64, 5707); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 128, 3308); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 256, 1149); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 512, 413); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 1024, 40); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 2048, 25); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 4096, 12); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 8192, 7); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 16384, 4); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 32768, 0); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (399, 2359907137, 1, 2652584166, 65536, 1); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 1, 88335); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 2, 24658); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 4, 4024); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 8, 11678); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 16, 61227); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 32, 35252); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 64, 5821); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 128, 3316); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 256, 1158); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 512, 421); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 1024, 41); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 2048, 25); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 4096, 12); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 8192, 7); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 16384, 4); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 32768, 0); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (400, 2359907137, 1, 2652584166, 65536, 1); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 1, 89498); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 2, 24811); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 4, 4050); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 8, 11919); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 16, 62776); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 32, 36157); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 64, 5993); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 128, 3424); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 256, 1181); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 512, 427); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 1024, 41); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 2048, 25); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 4096, 12); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 8192, 7); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 16384, 4); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 32768, 0); Insert into STATS$EVENT_HISTOGRAM (SNAP_ID, DBID, INSTANCE_NUMBER, EVENT_ID, WAIT_TIME_MILLI, WAIT_COUNT) Values (401, 2359907137, 1, 2652584166, 65536, 1); COMMIT;
Load my data in the snapshot table $ STATS:CREATE TABLE STATS$SNAPSHOT ( SNAP_ID NUMBER, DBID NUMBER, INSTANCE_NUMBER NUMBER, SNAP_TIME DATE, STARTUP_TIME DATE, SESSION_ID NUMBER, SERIAL# NUMBER, SNAP_LEVEL NUMBER, UCOMMENT VARCHAR2(160 BYTE), EXECUTIONS_TH NUMBER, PARSE_CALLS_TH NUMBER, DISK_READS_TH NUMBER, BUFFER_GETS_TH NUMBER, SHARABLE_MEM_TH NUMBER, VERSION_COUNT_TH NUMBER, SEG_PHY_READS_TH NUMBER, SEG_LOG_READS_TH NUMBER, SEG_BUFF_BUSY_TH NUMBER, SEG_ROWLOCK_W_TH NUMBER, SEG_ITL_WAITS_TH NUMBER, SEG_CR_BKS_RC_TH NUMBER, SEG_CU_BKS_RC_TH NUMBER, SEG_CR_BKS_SD_TH NUMBER, SEG_CU_BKS_SD_TH NUMBER, SNAPSHOT_EXEC_TIME_S NUMBER, ALL_INIT VARCHAR2(5 BYTE), BASELINE VARCHAR2(1 BYTE) );Insert into STATS$SNAPSHOT (SNAP_ID, DBID, INSTANCE_NUMBER, SNAP_TIME, STARTUP_TIME, SESSION_ID, SERIAL#, SNAP_LEVEL, EXECUTIONS_TH, PARSE_CALLS_TH, DISK_READS_TH, BUFFER_GETS_TH, SHARABLE_MEM_TH, VERSION_COUNT_TH, SEG_PHY_READS_TH, SEG_LOG_READS_TH, SEG_BUFF_BUSY_TH, SEG_ROWLOCK_W_TH, SEG_ITL_WAITS_TH, SEG_CR_BKS_RC_TH, SEG_CU_BKS_RC_TH, SNAPSHOT_EXEC_TIME_S, ALL_INIT) Values (396, 2359907137, 1, TO_DATE('02/09/2012 13:32:26', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('01/05/2012 20:33:22', 'MM/DD/YYYY HH24:MI:SS'), 0, 0, 7, 100, 1000, 1000, 10000, 1048576, 20, 1000, 10000, 100, 100, 100, 1000, 1000, 21.92, 'FALSE'); Insert into STATS$SNAPSHOT (SNAP_ID, DBID, INSTANCE_NUMBER, SNAP_TIME, STARTUP_TIME, SESSION_ID, SERIAL#, SNAP_LEVEL, EXECUTIONS_TH, PARSE_CALLS_TH, DISK_READS_TH, BUFFER_GETS_TH, SHARABLE_MEM_TH, VERSION_COUNT_TH, SEG_PHY_READS_TH, SEG_LOG_READS_TH, SEG_BUFF_BUSY_TH, SEG_ROWLOCK_W_TH, SEG_ITL_WAITS_TH, SEG_CR_BKS_RC_TH, SEG_CU_BKS_RC_TH, SNAPSHOT_EXEC_TIME_S, ALL_INIT) Values (397, 2359907137, 1, TO_DATE('02/09/2012 14:02:39', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('01/05/2012 20:33:22', 'MM/DD/YYYY HH24:MI:SS'), 0, 0, 7, 100, 1000, 1000, 10000, 1048576, 20, 1000, 10000, 100, 100, 100, 1000, 1000, 70.49, 'FALSE'); Insert into STATS$SNAPSHOT (SNAP_ID, DBID, INSTANCE_NUMBER, SNAP_TIME, STARTUP_TIME, SESSION_ID, SERIAL#, SNAP_LEVEL, EXECUTIONS_TH, PARSE_CALLS_TH, DISK_READS_TH, BUFFER_GETS_TH, SHARABLE_MEM_TH, VERSION_COUNT_TH, SEG_PHY_READS_TH, SEG_LOG_READS_TH, SEG_BUFF_BUSY_TH, SEG_ROWLOCK_W_TH, SEG_ITL_WAITS_TH, SEG_CR_BKS_RC_TH, SEG_CU_BKS_RC_TH, SNAPSHOT_EXEC_TIME_S, ALL_INIT) Values (398, 2359907137, 1, TO_DATE('02/09/2012 14:35:03', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('01/05/2012 20:33:22', 'MM/DD/YYYY HH24:MI:SS'), 0, 0, 7, 100, 1000, 1000, 10000, 1048576, 20, 1000, 10000, 100, 100, 100, 1000, 1000, 14.28, 'FALSE'); Insert into STATS$SNAPSHOT (SNAP_ID, DBID, INSTANCE_NUMBER, SNAP_TIME, STARTUP_TIME, SESSION_ID, SERIAL#, SNAP_LEVEL, EXECUTIONS_TH, PARSE_CALLS_TH, DISK_READS_TH, BUFFER_GETS_TH, SHARABLE_MEM_TH, VERSION_COUNT_TH, SEG_PHY_READS_TH, SEG_LOG_READS_TH, SEG_BUFF_BUSY_TH, SEG_ROWLOCK_W_TH, SEG_ITL_WAITS_TH, SEG_CR_BKS_RC_TH, SEG_CU_BKS_RC_TH, SNAPSHOT_EXEC_TIME_S, ALL_INIT) Values (399, 2359907137, 1, TO_DATE('02/09/2012 17:02:22', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('02/09/2012 15:24:06', 'MM/DD/YYYY HH24:MI:SS'), 0, 0, 7, 100, 1000, 1000, 10000, 1048576, 20, 1000, 10000, 100, 100, 100, 1000, 1000, 15.92, 'FALSE'); Insert into STATS$SNAPSHOT (SNAP_ID, DBID, INSTANCE_NUMBER, SNAP_TIME, STARTUP_TIME, SESSION_ID, SERIAL#, SNAP_LEVEL, EXECUTIONS_TH, PARSE_CALLS_TH, DISK_READS_TH, BUFFER_GETS_TH, SHARABLE_MEM_TH, VERSION_COUNT_TH, SEG_PHY_READS_TH, SEG_LOG_READS_TH, SEG_BUFF_BUSY_TH, SEG_ROWLOCK_W_TH, SEG_ITL_WAITS_TH, SEG_CR_BKS_RC_TH, SEG_CU_BKS_RC_TH, SNAPSHOT_EXEC_TIME_S, ALL_INIT) Values (400, 2359907137, 1, TO_DATE('02/09/2012 17:32:21', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('02/09/2012 15:24:06', 'MM/DD/YYYY HH24:MI:SS'), 0, 0, 7, 100, 1000, 1000, 10000, 1048576, 20, 1000, 10000, 100, 100, 100, 1000, 1000, 2.77, 'FALSE'); Insert into STATS$SNAPSHOT (SNAP_ID, DBID, INSTANCE_NUMBER, SNAP_TIME, STARTUP_TIME, SESSION_ID, SERIAL#, SNAP_LEVEL, EXECUTIONS_TH, PARSE_CALLS_TH, DISK_READS_TH, BUFFER_GETS_TH, SHARABLE_MEM_TH, VERSION_COUNT_TH, SEG_PHY_READS_TH, SEG_LOG_READS_TH, SEG_BUFF_BUSY_TH, SEG_ROWLOCK_W_TH, SEG_ITL_WAITS_TH, SEG_CR_BKS_RC_TH, SEG_CU_BKS_RC_TH, SNAPSHOT_EXEC_TIME_S, ALL_INIT) Values (401, 2359907137, 1, TO_DATE('02/09/2012 18:02:21', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('02/09/2012 15:24:06', 'MM/DD/YYYY HH24:MI:SS'), 0, 0, 7, 100, 1000, 1000, 10000, 1048576, 20, 1000, 10000, 100, 100, 100, 1000, 1000, 1.72, 'FALSE'); COMMIT;Hello
Sky13 wrote:
OK I got it to work,I'm glad that you guessed it work. When I tried to run your query later, I got an error. On line 7, I think you meant
when lag(SS.STARTUP_TIME) over (order by SS.SNAP_ID) != SS.STARTUP_TIME then 'YES'This site do not display the <>inequality operator. When you post here, always use the other, equivalent more!, =.
When I fix it, I don't get 'no rows selected '.but it's ugly! Any ideas on simplification it?
It's a little shorter, but still pretty ugly:
WITH got_wait_time_grp AS ( SELECT snap_id , wait_count , CASE WHEN wait_time_milli <= 7 THEN '<= 7' ELSE '> 7' END AS wait_time_grp FROM stats$event_histogram WHERE event_id = 2652584166 ) , grouped_data AS ( SELECT ss.snap_id , ss.snap_time , eh.wait_time_grp , CASE WHEN ss.startup_time != LAG (ss.startup_time) OVER ( PARTITION BY eh.wait_time_grp ORDER BY ss.snap_id ) THEN 'YES' ELSE 'NO' END AS db_restart , SUM (eh.wait_count) - LAG ( SUM (eh.wait_count) , 1 , 0 ) OVER ( PARTITION BY ss.startup_time , eh.wait_time_grp ORDER BY ss.snap_id ) AS wait_dif , DENSE_RANK () OVER (ORDER BY ss.snap_id) AS dr FROM stats$snapshot ss , got_wait_time_grp eh WHERE ss.snap_id = eh.snap_id AND ss.snap_id BETWEEN 396 AND 401 GROUP BY GROUPING SETS ( (ss.snap_id, ss.snap_time, ss.startup_time, eh.wait_time_grp) , (ss.snap_id, ss.snap_time, ss.startup_time) ) ) SELECT snap_id, snap_time, db_restart , MIN (CASE WHEN wait_time_grp = '<= 7' THEN wait_dif END) AS wait_count_le_7ms , MIN (CASE WHEN wait_time_grp = '> 7' THEN wait_dif END) AS wait_count_gt_7ms , MIN (CASE WHEN wait_time_grp IS NULL THEN wait_dif END) AS total_wait_count , MIN (CASE WHEN wait_time_grp = '<= 7' THEN wait_dif END) * 100 / MIN (CASE WHEN wait_time_grp IS NULL THEN wait_dif END) AS wait_count_percent_le_7ms , MIN (CASE WHEN wait_time_grp = '> 7' THEN wait_dif END) * 100 / MIN (CASE WHEN wait_time_grp IS NULL THEN wait_dif END) AS wait_count_percent_gt_7ms FROM grouped_data WHERE dr > 1 GROUP BY snap_id, snap_time, db_restart ORDER BY snap_id ;Output:
` WAIT_ WAIT_ WAIT_ WAIT_ COUNT_ COUNT_ DB_ COUNT_ COUNT_ TOTAL_ PERCENT PERCENT SNAP RE LE_ GT_ WAIT_ _LE_ _GT_ _ID SNAP_TIME START 7MS 7MS COUNT 7MS 7MS ---- ------------------- ----- ------- ------- ------- ------- ------- 397 2/9/2012 2:02:39 PM NO 3311 16261 19572 16.92 83.08 398 2/9/2012 2:35:03 PM NO 10040 11499 21539 46.61 53.39 399 2/9/2012 5:02:22 PM YES 111137 113916 225053 49.38 50.62 400 2/9/2012 5:32:21 PM NO 5880 5047 10927 53.81 46.19 401 2/9/2012 6:02:21 PM NO 1342 3004 4346 30.88 69.12 -
Hello
I'm getting out my select query. I can align the colum as output:
Statement:
Select substr(billdate,1,6), speciality, count (*) in the ipbill where billdate > = '20090401' and billdate < = '20090531'
IAM get the result below:
200904 CARDIOLOGY 10
200904 UROLOGY 20
200905 20 CARDIOLOGY
200905 30 UROLOGY
Is it possible to align my output as below, because it will be helpuful for ease of analysis:
200904 200905
10 20 CARDIOLOGY
20 30 UROLOGY
Thank you
SatyaThe number of specialties is flexible, the months are not. These must be in "hard"; for each month, you need to create a column.
What is the result, which means what frontend tool do you use to create this report. Most reporting frontend tools have a function PIVOT (as Excel - Oracle reports etc.)
-
SELECT SQLite statement failed
I've reached the point where I need to crowd source this error.
I try to run the following code:
uri = URI.create("file://" + _optionsData.getStorageURI() + OptionsData.DB_NAME); sqliteDB = DatabaseFactory.open(uri); Statement st = sqliteDB.createStatement("SELECT * FROM foo"); st.prepare(); Cursor c = st.getCursor(); Row r = c.getRow(); int size = r.getInteger(0);Creates the URI end to the database of opening works very well. The statement is prepared. However, when I get the cursor, it is 'empty', containing no information line or column. c.getRow () returns a NULL reference and the following statement fails with a special Null pointer.
The SQL code has been checked with a SQLite spy program to the same database.
To check that I have all correct on the connection to the database, I changed the code to make an INSERT using st.execute (), and the values inserted in the database. Verified by SQLite Spy.
It will fail in the same way on the 9700 "Bold" standard simulator that comes with the Eclipse plugin and the specific Storm 2 Add-on Verizon Simulator.
Any suggestions?
Solved my problem.
The code snippet, before you start changing things to try to understand what wasn't in question a "SELECT MAX (id) foo" call. Thus, it only returns a single line.
I come from a background of Perl/MySQL, and I didn't know that when you have a line that is returned, you should always call the next() on a cursor before it will be initialized. Therefore, the above code should read as follows:
Statement st = sqliteDB.createStatement("SELECT MAX(id) FROM foo"); st.prepare(); Cursor c = st.getCursor(); if (c.next()){ Row r = c.getRow(); int size = r.getInteger(0); }When c.next () is called, the cursor is on the first line.
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Select the statement and the Group of
Hi all
I have this code to display the total number of orders by customer id:
Select customer_id, sum (order_total) total
of demo_orders
Customer_id group;
and it gives me this result:
CUSTOMER_ID TOTAL
----------- ----------
1 2380
2 2370
3 2420
4 1060
5 1090
6 950
7 2760
7 selected lines.
But instead of the ID, I want to display their names, like this:
CUSTOMER TOTAL
Brown, John 3450
... and so on
How do I do that?
I know I can't include these columns concatenated in the selection list, because I would have to be included in the GROUP BY clause...
Thank you.
I know I can't include these columns concatenated in the selection list, because I would have to include it in the
Huh? Why not you. Have you actually tried it?
Just do what you say - include names concatenated in the select group of clauses.
Or you can just join the query you have each other to get the names, since we have no idea where the names are still stored. If they are in the same table as the ID then just use the solution "you know you can't do '!
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Hide the box operators in Query Advanced Panel mode selection
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I need to hide all operators in the query Panel Advanced view mode drop-down selection list.
Please help me.
Thank you
Barry Mucheli.
Hi Baro,
There is no command available to hide all operators both, individually, we need to hide the operators
You can follow the links below:
to hide the details:
The Middle Tier: How show/hide operators in advanced mode adf:query
for the operator:
Thank you
Prabhat
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Internal mechanism behind a "update statement"
Suppose that I published an update statement to change the value of "salary" columns in a table, I does not issue of "committing" again, now when I select the column in my own session, I am able to see the new value, but other users in different sessions can not see the new value for them, I understand that old data is read in the undo tablespace , but for me, the new value source, please explain in detail the inside what is happening behind it.
Thanks in advance.Think of it this way:
No matter who's going to read a block will recover from the buffer cache (if is not in the cache, it must be read from the disk, but you will get it back in the end of the cache).
Now, the rules of consistency Oracle reading means that you can 'see' data that is compatible with the point in time that you are interested in (the snapshot SCN). If the data that you read from the buffer cache are 'too new', then your session automatically restores data in the block, by referencing the undo data. This is known as a coherent mode get, as the buffer is recovered pursuant to a specific point in time, or SNA.
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'Go to the State' vs 'Go to the next State' for the selected button state
I have a series of image galleries in my publication that uses MSOs and buttons to "Go to another" - the thumbnails then have a small edge to have indicated that they are 'selected' - it works very well. The border is added to the click for each thumbnail button state.
I have a similar scenario is a YouTube embed of the video and an article as a MSO with two States: a State is the vid to youtube and the other State is the article of the text. I have a set place button to switch between these two States. This button is set to "Go to the next State" so he'll just between the two States MSO. Is there any way to have a selected State for this button so that the words under the button change to 'play' video in 'see article' while keeping this button set to "Go to the next State" - the only way I can think to do is with two buttons.
I realize, this is a very specific use case and I do not expect the features, but if there is a solution I am curious to know if anyone else has come across this.
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Implement for the buttons in the different States. Then add an invisible button on it to the next State meetings.
Bob
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Selecting correct state in the drop-down list.
Here is my delima. I have a form that gets repopulate when users come back to update their contact information. Name, address, etc. of the State. What I am having a problem with performs their State to be selected from a drop-down list. For example, if I'm from Ohio, so I want Ohio selected in the drop-down list. I don't want the user to have to select again the State if the information has not changed. Here's an example of how it is formatted.
< select tabIndex = "5" name = "State" >
< option value = "" selected = "selected" > < / option > "
< option value = 'AL' > Alabama < / option >
< option value = "AK" > Alaska < / option >
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< option value = "AR" > Arkansas < / option >
< option value = "CA" > California < / option >
< option value = "CO" > Colorado < / option >
Of course, the two-letter abbreviation is written and retrieved from the database.
Everyone works with this before?
Any help/information is appreciated.
BrianHere's how I made this...
Top of the page put
Then, when comes the time to put the list do that...
I hope this helps.
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