details of the virtual columns and deterministic function
Hello
First time that I post a question after the migration of the Forums. So please excuse me if you see errors in format.
Below, I have created a function as deterministic and a table with a virtual column (column refers to the function)
Here are my questions
(1) if I run SELECT * FROM t whenever Oracle will perform the function add_fn?
(2) what is the advantage of DETERMINISTIC? (Documentation says that if we declare a function as deterministic he will attempt to use previously caluculated results for the same set of values. So, when I ever I run SELECT * FROM t oracle executes add_fn only once and it will use the result for the next time. Is my understanding correct.)
Here's the code.
SQL> create or replace function add_fn ( p_n1 in number 2 ,p_n2 in number ) 3 return number deterministic 4 is 5 begin 6 return p_n1+p_n2; 7 end; 8 / Function created SQL> create table t ( n1 number 2 ,n2 number 3 ,n3 number generated always as (add_fn(n1,n2)) virtual 4 ); Table created SQL> insert into t (n1,n2) values (10,20); 1 row inserted SQL> select * from t; N1 N2 N3 ---------- ---------- ---------- 10 20 30 SQL> select * from t; N1 N2 N3 ---------- ---------- ---------- 10 20 30 SQL>
Hello
...
(1) if I run SELECT * FROM t whenever Oracle will perform the function add_fn?(2) what is the advantage of DETERMINISTIC? (Documentation says that if we declare a function as deterministic he will attempt to use previously caluculated results for the same set of values. So, when I ever I run SELECT * FROM t oracle executes add_fn only once and it will use the result for the next time. Is my understanding correct.)
...
(1) oracle will have to evaluate the function. Because only deterministic functions are allowed, this means that it will not necessarily perform the function again; He can get the value cached from a previous call.
I think that the indexed values are actually stored in the index. "SELECT * FROM t;" do not use an index, but if you make another request, then you should be able to get the value of the virtual table of the index, without calling the function or obtaining the value of a cache.
(2) If a function is DETERMINISTIC, the optimizer may decide whether to actually call the function each time, or the cache for better performance results. There is no guarantee that it will always be one or the other. Replace "will be" in your description "may", and then what you say is correct.
Tags: Database
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Perhaps you need to dummy data just for the table.
Here is my exercise
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an alphabet by typing in a cell gives drop down suggestions from previous hits on the same column. But how the drop down to choose the suggestions of the other columns and other sheets.
Hi mdsavol,
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Interval partitioning using the key of the virtual column
Hi guys
I have a series of tables that I propose to the partition.
Each table has a year and a period (equivalent to a month) and I intend using those as my partition keys - year as the partition and the period as the subpartition.
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2015
001
002
...
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...
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etc...
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It is hence the idea of virtual column between in game - I could create a virtual column in these tables to convert the field to digital and then partition on it instead.
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Thanks in advance.
Simon
orclz >
orclz > create table pt (v1 varchar2 (1) c1 as (to_number (v1)), number of c2)
2 partition by range (c1) interval (1)
subpartition by hash (c2) subpartitions 4 3
4 (partition p1 values less than (1))
5.
Table created.
orclz > set autot on explain
orclz > select * PT where v1 = '0';
no selected line
Execution plan
----------------------------------------------------------
Hash value of plan: 711571056
--------------------------------------------------------------------------------------------
| ID | Operation | Name | Lines | Bytes | Cost (% CPU). Time | Pstart. Pstop |
--------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 82. 2296 | 29 (0) | 00:00:01 | | |
| 1. RANGE OF PARTITION ALL THE | | 82. 2296 | 29 (0) | 00:00:01 | 1. 1048575.
| 2. HASH PARTITION ALL | | 82. 2296 | 29 (0) | 00:00:01 | 1. 4.
|* 3 | TABLE ACCESS FULL | PT | 82. 2296 | 29 (0) | 00:00:01 | 1. 1048575.
--------------------------------------------------------------------------------------------
Information of predicates (identified by the operation identity card):
---------------------------------------------------
3 - filter ("V1" = '0')
orclz > select * PT where c1 = 0;
no selected line
Execution plan
----------------------------------------------------------
Hash value of plan: 1726115854
-----------------------------------------------------------------------------------------------
| ID | Operation | Name | Lines | Bytes | Cost (% CPU). Time | Pstart. Pstop |
-----------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 82. 2296 | 29 (0) | 00:00:01 | | |
| 1. RANGE OF SINGLE PARTITION | | 82. 2296 | 29 (0) | 00:00:01 | 1. 1.
| 2. HASH PARTITION ALL | | 82. 2296 | 29 (0) | 00:00:01 | 1. 4.
|* 3 | TABLE ACCESS FULL | PT | 82. 2296 | 29 (0) | 00:00:01 | 1. 4.
-----------------------------------------------------------------------------------------------
Information of predicates (identified by the operation identity card):
---------------------------------------------------
3 - filter ("C1" = 0)
--
John Watson
Oracle Certified Master s/n
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NVL and deterministic function
Hi all
I recently found a note on deterministic function and its use. As usual check and validate with various relevant articles on the same topic. I decided to check the importance of it with an example below.
The example given, it seems if we happen to use deterministic functions and replace NVL in where clause if appropriate and possible its picking the index created and the query is very effective. We have tested with more records too. This is to say that the index is selected, even when records are questioned are even more than 90% of all of the data in the table for the given condition, is not happens on a normal basis.create table rnd_all_objects as select * from all_objects; create or replace function RND_check_null_var(p_var in varchar) return varchar2 deterministic as begin if p_var is null then return 'X'; else return p_var; end if; end; create index rnd_DET on rnd_all_objects (rnd_check_null_var(status)); select COUNT('X') from rnd_all_objects --where status is null where RND_check_null_var(status) = 'X' /* One can check the plan of the query by commenting the 3rd line of query and uncommenting 2nd line to compare the performance. */
I pray the pros discuss and get rid of my doubts.
Thanks in advance.Here's what I mean:
After doing this:
create index rnd_1 on rnd_all_objects (rnd_check_null_var(status)); create index rnd_2 on rnd_all_objects (nvl(status,'X')); create index rnd_3 on rnd_all_objects (status,'X');And then what follows, I see no difference between NVL and deterministic function.
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SQL> SQL> SELECT COUNT(*) 2 FROM rnd_all_objects 3 WHERE nvl(status,'X') = 'X'; COUNT(*) ---------- 0 SQL> SQL> select * from table(dbms_xplan.display_cursor); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- SQL_ID 0bhwd0rc3g7pp, child number 0 ------------------------------------- SELECT COUNT(*) FROM rnd_all_objects WHERE nvl(status,'X') = 'X' Plan hash value: 1668065865 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | | | 1 (100)| | | 1 | SORT AGGREGATE | | 1 | 6 | | | |* 2 | INDEX RANGE SCAN| RND_2 | 1 | 6 | 1 (0)| 00:00:01 | --------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("RND_ALL_OBJECTS"."SYS_NC00017$"='X') 19 rows selected. SQL> SQL> SELECT * 2 FROM rnd_all_objects 3 WHERE status is null; no rows selected SQL> SQL> select * from table(dbms_xplan.display_cursor); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- SQL_ID b2zw36qjc8nxq, child number 0 ------------------------------------- SELECT * FROM rnd_all_objects WHERE status is null Plan hash value: 2472515261 ----------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | | | 43 (100)| | | 1 | TABLE ACCESS BY INDEX ROWID| RND_ALL_OBJECTS | 2399 | 264K| 43 (0)| 00:00:01 | |* 2 | INDEX RANGE SCAN | RND_3 | 2399 | | 8 (0)| 00:00:01 | ----------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("STATUS" IS NULL) 19 rows selected. SQL> SQL> SELECT COUNT('X') 2 FROM rnd_all_objects 3 WHERE status is null; COUNT('X') ---------- 0 SQL> SQL> select * from table(dbms_xplan.display_cursor); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- SQL_ID 03gbx96m8a4hp, child number 0 ------------------------------------- SELECT COUNT('X') FROM rnd_all_objects WHERE status is null Plan hash value: 1659481815 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | | | 9 (100)| | | 1 | SORT AGGREGATE | | 1 | 5 | | | |* 2 | INDEX RANGE SCAN| RND_3 | 8 | 40 | 9 (0)| 00:00:01 | --------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("STATUS" IS NULL) Note ----- - dynamic sampling used for this statement (level=2) 23 rows selected.Published by: DomBrooks on November 24, 2010 11:46
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Hi smithnr10,
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Script
---------
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---- -- ---
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select a.date_adjusted, a.task_name, sum(case when a.units_adjusted is not null then a.units_adjusted else a.units_original end) Units, b.group_name, b.category_name from actuals_intake a left join -- lookups to obtain group and category names from their ID's in the groupings table (select c.task_id, d.group_name, e.category_name, c.business_unit_id from task_groupings c, task_groups d, task_categories e where c.group_id = d.id and c.business_unit_id = d.business_unit_id and c.category_id = e.id and c.business_unit_id = e.business_unit_id ) b on a.task_id = b.task_id and a.business_unit_id = b.business_unit_id where a.business_unit_id = :P10_SELECT_BUSINESS_UNIT and a.date_adjusted between to_date(:P10_DATE_START, 'dd-mon-yyyy') and to_date(:P10_DATE_END, 'dd-mon-yyyy') group by a.date_adjusted, a.task_name, b.group_name, b.category_name order by a.date_adjusted, b.category_name, b.group_name
This will set up the tables and data:
CREATE TABLE ACTUALS_INTAKE ( ID NUMBER, DATE_ORIGINAL DATE, TASK_NAME VARCHAR2(500 CHAR), TASK_ID NUMBER, UNITS_ORIGINAL NUMBER, BUSINESS_UNIT_ID NUMBER, SUB_UNIT_ID NUMBER, DATE_ADJUSTED DATE, UNITS_ADJUSTED NUMBER ); CREATE TABLE TASK_CATEGORIES ( ID NUMBER, CATEGORY_NAME VARCHAR2(100 CHAR), BUSINESS_UNIT_ID NUMBER ); CREATE TABLE TASK_GROUPS ( ID NUMBER, GROUP_NAME VARCHAR2(100 CHAR), BUSINESS_UNIT_ID NUMBER ); CREATE TABLE TASK_GROUPINGS ( TASK_ID NUMBER, GROUP_ID NUMBER, CATEGORY_ID NUMBER, BUSINESS_UNIT_ID NUMBER ); INSERT ALL INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (1, '03/15/2014', 'Task One', 1, 200, 10, null, '03/15/2014', null) INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (2, '03/15/2014', 'Task Two', 2, 30, 10, null, '03/15/2014', null) INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (3, '03/15/2014', 'Task Three', 3, 650, 10, null, '03/15/2014', null) INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (4, '03/15/2014', 'Task Four', 4, 340, 10, null, '03/15/2014', null) INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (5, '03/14/2014', 'Task Four', 4, 60, 10, null, '03/15/2014', null) INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (6, '03/15/2014', 'Task Five', 5, 15, 10, null, '03/15/2014', null) INTO ACTUALS_INTAKE (ID, DATE_ORIGINAL, TASK_NAME, TASK_ID, UNITS_ORIGINAL, BUSINESS_UNIT_ID, SUB_UNIT_ID, DATE_ADJUSTED, UNITS_ADJUSTED) VALUES (7, '03/15/2014', 'Task Six', 6, 40, 10, null, '03/15/2014', null) SELECT 1 FROM DUAL; INSERT ALL INTO TASK_GROUPS (ID, GROUP_NAME, BUSINESS_UNIT_ID) VALUES (1, 'Group One', 10) INTO TASK_GROUPS (ID, GROUP_NAME, BUSINESS_UNIT_ID) VALUES (2, 'Group Two', 10) INTO TASK_GROUPS (ID, GROUP_NAME, BUSINESS_UNIT_ID) VALUES (3, 'Group Three', 10) select 1 from dual; INSERT ALL INTO TASK_CATEGORIES (ID, CATEGORY_NAME, BUSINESS_UNIT_ID) VALUES (1, 'Category A', 10) INTO TASK_CATEGORIES (ID, CATEGORY_NAME, BUSINESS_UNIT_ID) VALUES (2, 'Category A', 10) INTO TASK_CATEGORIES (ID, CATEGORY_NAME, BUSINESS_UNIT_ID) VALUES (3, 'Category B', 10) select 1 from dual; INSERT ALL INTO TASK_GROUPINGS (TASK_ID, GROUP_ID, CATEGORY_ID, BUSINESS_UNIT_ID) VALUES (1, 1, 1, 10) INTO TASK_GROUPINGS (TASK_ID, GROUP_ID, CATEGORY_ID, BUSINESS_UNIT_ID) VALUES (2, 1, 1, 10) INTO TASK_GROUPINGS (TASK_ID, GROUP_ID, CATEGORY_ID, BUSINESS_UNIT_ID) VALUES (3, 2, 2, 10) INTO TASK_GROUPINGS (TASK_ID, GROUP_ID, CATEGORY_ID, BUSINESS_UNIT_ID) VALUES (4, 2, 3, 10) INTO TASK_GROUPINGS (TASK_ID, GROUP_ID, CATEGORY_ID, BUSINESS_UNIT_ID) VALUES (5, 3, 3, 10) INTO TASK_GROUPINGS (TASK_ID, GROUP_ID, CATEGORY_ID, BUSINESS_UNIT_ID) VALUES (6, 3, 3, 10) select 1 from dual;
Results will look like this. The last column is what I want the extra column to look like:
Date_Adjusted TaskName Units of GroupName Category_Name Units % 15/03/2014 A task 200 Group 1 Category A 87 15/03/2014 Task 2 30 Group 1 Category A 13 15/03/2014 Task 3 650 Group two Category A 100 15/03/2014 Task 5 15 Group three Category B 27 15/03/2014 Task 6 40 Group three Category B 73 15/03/2014 Task 4 400 Group two Category B 100 Hope all that makes sense... Anyone able to help me do this effectively?
Hello
Use the analytical RATIO_TO_REPORT function to calculate the % of units column.
If you're serious about performance, please refer to the Forum:
Re: 3. how to improve the performance of my query? / My query is slow.
Do you really need an outer join? Inner joins are faster. With the given sample data, they produce the same results.
COALESCE may be a little faster than the CASE.
Try this:
WITH got_units AS
(
SELECT a.date_adjusted,
a.Task_Name,
sum of units (COALESCE (a.units_adjusted, a.units_original));
b.group_name,
b.category_name
of actuals_intake one
the left join - or just JOINED
-research for the group names and category of their ID in the table of groupings
(select c.task_id,
d.group_name,
e.category_name,
c.business_unit_id
of task_groupings c,.
task_groups d,
e task_categories
where d.id = c.group_id
and c.business_unit_id = d.business_unit_id
and c.category_id = e.id
and c.business_unit_id = e.business_unit_id
) b
On a.task_id = b.task_id
and a.business_unit_id = b.business_unit_id
-where a.business_unit_id =: P10_SELECT_BUSINESS_UNIT - if necessary
- and a.date_adjusted between to_date (: P10_DATE_START, 'Mon-dd-yyyy') and to_date (: P10_DATE_END, ' mon-dd-yyyy "")
Group of a.date_adjusted, a.task_name, b.group_name, b.category_name
)
SELECT u.*
ROUND (100 * RATIO_TO_REPORT (units) OVER (PARTITION BY groupname)
category_name
)
) AS units_pct
OF got_units u
ORDER BY date_adjusted, category_name, GroupName
;
Thanks for the display of the data of the sample; It is very useful. Don't try to insert strings, for example, March 15, 2014", in DATE columns. TO_DATE allows to convert strings to DATEs.
-
json_list to varchar/string to use in the virtual column
Hello Experts,
Environment:
Database Oracle 12 c Enterprise Edition Release 12.1.0.2.0 - 64 bit Production
PL/SQL Release 12.1.0.2.0 - Production
I have the following function that returns JSON_LIST.
{code}
CREATE OR REPLACE FUNCTION GENERATE_JSON (STRING2CONVERT IN VARCHAR2)
RETURN JSON_LIST
DETERMINISTIC
IS
RET json_list;
V_ERROR VARCHAR2 (31000);
BEGIN
RET: = json_dyn.executeList (STRING2CONVERT);
RET. Print;
RETURN RET;
EXCEPTION WHEN OTHERS THEN
V_ERROR: = SQLERRM;
RETURNS A NULL VALUE.
END;
-test the query see the output in the output of DBMS
SELECT GENERATE_JSON (' select ' |) Chr (39) | ' AJ' | Chr (39) |' like c_name,' | Chr (39) | ' BOY ' | Chr (39): ' c_type, like '
|| Chr (39) | ' HUMAN '. Chr (39): ' as c_category,' | Chr (39) | ' TEST SUBJECT ' | Chr (39) | 'as c_desc from dual')
FROM DUAL;
{code}
The SQL query above in the DBMS output output
[{
"C_NAME": "AJ."
"C_TYPE": "BOY."
"C_CATEGORY": "HUMAN."
'C_DESC': 'GUINEA PIG '.
}]
Question: How can I have it return the same structure of String (varchar).
Why would I want to convert JSON_LIST to string?
So that I can use this call to service as part of a virtual column in a table to store Json and have a constraint to enforce structureof Json.
If this is not the right way?
Kindly share how I can take a few columns in the same table, convert to json format and store in a virtual column in the same table and enforce the Json structure?
Thank you
AJ
with
data in the form of
(select q'~ select "AJ" as c_name, 'BOY' as c_type, 'HUMAN' as c_category, 'SUBJECT of TEST' as the double c_desc ~' source)
of the double
),
Converter (SRC, res, Step) as
(select regexp_replace (ltrim (upper (substr (source, 1, instr (upper (source), "FROM") - 1)), "SELECT"), '\s+AS\s+',': ') |) ',', null, 1
from the data
Union of all the
Select substr (src, instr(src,',') + 1)
'"' || substr (substr (SRC, 1, InStr (CBC, ',') - 1), instr (substr (src, 1, instr (CBC, ',') - 1),': ') + 1) | '" : ' ||
Replace (substr (substr (SRC, 1, InStr (CBC, ',') - 1), 1, instr (substr (src, 1, instr (CBC, ',') - 1),': ')-1), "','" ' "),
Step + 1
converter
where the CBC is not null
)
Select the source'[{' | listagg(res,',') Group (order by step) |}] '] "converted
data converter
SOURCE CONVERTED Select "AJ" as c_name, 'BOY' as c_type, 'HUMAN' as c_category, 'SUBJECT of TEST' as double c_desc [{'C_NAME': 'AJ', 'C_TYPE': 'BOY', 'C_CATEGORY': 'HUMAN', 'C_DESC': 'GUINEA PIG'}] Concerning
Etbin
-
Hello
See a strange problem with only a Windows 2008 R2 model. When you use the built-in function "Start VM and wait" workflow to start a virtual machine (after conversion from a template either manually, or through workflow) NIC of the virtual machine (I tried VMXNET3 and e1000 times) does not connect to the problem. Vds can be replicated in a different VCenter, so spreading the vds. I also created several models of Windows 2008 r2 and all have this problem.
If the model is converted and started outside VRO, it gets an IP from and is connected to the VDS immediately
Tried add/remove the NIC of the model
Tried to move the comments on different hosts
Tried to create a new template from scratch
NOTE: Windows 2012 R2 doesn't have this problem in the same circles, the only constant is the Windows 2008 R2 being started by VRO.
Anyone seen this before?
I found this article and it fixed my problem VMware KB: registration or the deployment of a virtual computer model fails apparently a fix a problem in ESX 5.1, 5.5 (I used the option to get around and things are good)
-
Hi all
Here is the structure of the table with two expression of virtual columns associated highlighted, now I want to delete these expressions with virtual columns (but must keep my VIRTUAL columns as it is).
Is it possible the alter or I need to raise the table, make a new structure and copy content back to newly structured table... Pleae help!
CREATE TABLE TEST_COL)
SAGE_TRADE_TYPE VARCHAR2 (50 BYTE),
LOCAL_TZ VARCHAR2 (20 BYTE),
ACE GMT_CONV_ENTERED_DT_TS (SAGEDBO. FN_CONVERT_TIMEZONE (LOCAL_TZ, ENTERED_DT_TS)) VIRTUAL,.
ACE GMT_CONV_EXECUTION_DT_TS (SAGEDBO. FN_CONVERT_TIMEZONE (LOCAL_TZ, UPSTREAM_EXECUTION_TS)) VIRTUAL,.
EOD_IND VARCHAR2 (10 BYTE)
);
Thank you very much
Arpit
Try this
ALTER table test_col change gmt_conv_entered_dt_ts (0) virtual;
ALTER table test_col change gmt_conv_execution_dt_ts (1) virtual;
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