Convert the lines into columns... very urgent
HelloI have a small doubt... I create it follows and insert commands.
CREATE THE TABLE SCOTT. ABC
(
ROOM_NAME VARCHAR2 (20 BYTE),
MET_MONTH VARCHAR2 (2 BYTE),
NUMBER OF TOTAL_SEATS
);
TOGETHER TO DEFINE
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Synergy Room 3', '06' 18");
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP2-18', ' 08,' 35 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Synergy room 2', '08' 50 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Synergy room 2', '05' 20 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP5-26 ', ' 05,' 10 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP2-18 ', ' 11', 35 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP3-49 ', ' 07,' 10 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Synergy Room1", '08', 45);
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Wallace Stevens', '09', 95 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
('Synergy Room1', '04', 73);
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Wallace Stevens ', 10', 205 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Wallace Stevens', '04', 100 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Synergy Room 3', '04' 25 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP3-49 ', ' 04', 8 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("Synergy Room 3', '07' 10 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP5-26', ' 07,' 13 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP2-18', ' 05,' 28 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP3-49 ', ' 09', 15 ');
Insert into ABC
(ROOM_NAME, MET_MONTH, TOTAL_SEATS)
Values
("NP5-26 ', ' 10', 15 ');
COMMIT;
So I need to get the result like this:
RoomName Jan Feb Mar Apr May June July Aug 7 Oct Nov Dec
Synergy room 1 0 0 0 73 0 0 0 45 0 0 0 0
Synergy room 2 0 0 0 0 20 0 0 50 0 0 0 0
Synergy Room 3 0 0 0 25 0 18 10 0 0 0 0 0
Wallace Stevens 0 0 0 100 0 0 0 0 95 205 0 0
NP5-26 0 0 0 0 10 0 13 0 0 15 0 0
NP2-18 0 0 0 0 28 0 0 35 0 0 35 0
NP3-49 0 0 0 0 0 0 10 0 15 0 0 0
Thank you
Rajiv
If you do not want null values then try like this
NVL (sum (decode (met_month, ' 01', total_seats)), 0) such as jan,.
S
Tags: Database
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How to convert the lines into columns dynamically
HII
I have a 'report_line' with the following data table
location_code line_code value
LOC1 L1 12
loc2 L1 13
LOC1 L2 15
loc2 L3 11
LOC3 L1 9
Now I want the o/p by converting the line_codes in clumns as below
L1 L2 L3
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13 11 loc2
LOC3 9
How can I do this dynamically. Line codes are not constatnt, they can change for each scenario.
Thank you
SandeepI want just a sql for this query and no. columns ' maximum of are 6.
In this case you can do.
--sample data with t as ( select 'loc1' location_code, 'L1' line_code, 12 value from dual union all select 'loc2', 'L1', 13 from dual union all select 'loc1', 'L2', 15 from dual union all select 'loc2', 'L3', 11 from dual union all select 'loc3', 'L1', 9 from dual ) --end of sample data select location_code, max(decode(line_code, 'L1', value, null)) L1, max(decode(line_code, 'L2', value, null)) L2, max(decode(line_code, 'L3', value, null)) L3, max(decode(line_code, 'L4', value, null)) L4, max(decode(line_code, 'L5', value, null)) L5, max(decode(line_code, 'L6', value, null)) L6 from t group by location_code
Here I used the WITH clause as an example of table. You can replace the "t" table name in the select statement with your actual table and remove the WITH clause.
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SQL to convert the lines into columns
Can someone please help with this? It sounds easy, but I can't do it on my own
I need to create the output table something like this using the input table
Entry table
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100 1 XXX
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101 AAA 3
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For each ID value, there will be 2 ORDID leave a sequence
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It's called swing , and there are a few good links in the FAQ forum on this subject:
SQL and PL/SQL FAQExactly how do depends on your version of Oracle and exactly to your needs.
If you use Oracle 11, you can use SELECT... Function PIVOT.If you have only two lines (by ID) of the original table you need to view side by side, then a self-join can be easier, regardless of your version.
For example:SELECT l.bookid , l.ordnam , l.ordid , r.ordnam , r.ordid FROM input_table l LEFT OUTER JOIN input_table r ON l.bookid = r.bookid AND l.ordid < r.ordid ;
I hope that answers your question.
If this isn't the case, post a small example of data (CREATE TABLE and only relevant columns, INSERT statements) for all tables, or post a question involving tables commonly available, such as those in the scott schema. Whatever it is, after the desired results from these data.
Explain, using specific examples, how you get these results from these data.
Always tell what version of Oracle you are using.
You will find the answers better faster if you always provide this information whenever you post a question.Published by: Frank Kulash, July 22, 2011 11:21
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Convert the lines into a single column
create table suresh
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Insert in suresh values(1,'b');
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1 m
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1 o
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There are different techniques to cope with this. Is a simple...
SQL > ed
A written file afiedt.buf1 with t as (select 1 | akash51 |) Akaksh | C | 22/11/14 | 15' as col1 of union double all the
2 Select 2 | akash52 | Akaksh | C | Jobs jobs | 23/11/14 | 15' of the double
3 )
4 --
5. end of test data
6 --
7 select trim (REGEXP_SUBSTR (COL1, ' [^, |] +', 1, 1)) EMP_ID,.
8 toppings (REGEXP_SUBSTR (COL1, ' [^, |] +', 1, 2)) USERNAME,.
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10 pads (REGEXP_SUBSTR (COL1, ' [^, |] +' 1, 4)) LASTNAME,.
11 garnish (REGEXP_SUBSTR (COL1, ' [^, |] +' 1, 5)) JOBTITLE,.
12 pads (REGEXP_SUBSTR (COL1, ' [^, |] +', 1, 6)) HIRE_DATE,.
13 garnish (REGEXP_SUBSTR (COL1, ' [^, |] +' 1, 7)) location_id
14 * from (select replace (col1, ' |)) ',' | as col1 of t)
SQL > /.EMP_ID USERNAME FIRSTNAME LASTNAME, JOBTITLE HIRE_DATE LOCATION_I
---------- ---------- ---------- ---------- ---------- ---------- ----------
1 akash51 Akaksh C 22/11/14 15
2 akash52 Akaksh C Job 23/11/14 15 -
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Hello
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MIDDLE MINAME TASKID TASKNAME IDENTIFICATION PROJECT
1 PROJ1 1 AA 100 PR1_TASK1
1 PROJ1 3 CC PR1_TASK3 102
1 PROJ1 DD 4 103 PR1_TASK4
1 PROJ1 EE 5 104 PR1_TASK5
1 PROJ1 6 105 FF PR1_TASK6
2 PROJ2 EE 5 114 PR2_TASK1
2 PROJ2 6 115 FF PR2_TASK2
2 PROJ2 GG 7 116 PR2_TASK3
2 PROJ2 HH 8 117 PR2_TASK4
2 PROJ2 9 118 PR2_TASK5 JJ
2 PROJ2 KK 10 119 PR2_TASK6
2 PROJ2 1 AA PR2_TASK7 120
The output should show the project and County of tasks at a given stage as shown below
project AA BB CC DD EE FF GG HH JJ KK
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VVRCREATE TABLE pivot_test ( ID NUMBER, PROJECT VARCHAR2(10), MID NUMBER, MINAME VARCHAR2(5), TASKID NUMBER, TASKNAME VARCHAR2(10) ); INSERT INTO pivot_test VALUES (1, 'PROJ1', 1, 'AA', 100, 'PR1_TASK1'); INSERT INTO pivot_test VALUES (1, 'PROJ1', 3, 'CC', 102, 'PR1_TASK3'); INSERT INTO pivot_test VALUES (1, 'PROJ1', 4, 'DD', 103, 'PR1_TASK4'); INSERT INTO pivot_test VALUES (1, 'PROJ1', 5, 'EE', 104, 'PR1_TASK5'); INSERT INTO pivot_test VALUES (1, 'PROJ1', 6, 'FF', 105, 'PR1_TASK6'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 5, 'EE', 114, 'PR2_TASK1'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 6, 'FF', 115, 'PR2_TASK2'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 7, 'GG', 116, 'PR2_TASK3'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 8, 'HH', 117, 'PR2_TASK4'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 9, 'JJ', 118, 'PR2_TASK5'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 10, 'KK', 119, 'PR2_TASK6'); INSERT INTO pivot_test VALUES (2, 'PROJ2', 1, 'AA', 120, 'PR2_TASK7'); SELECT ID as PROJECT, SUM(DECODE(miname, 'AA', 1, 0)) AS AA, SUM(DECODE(miname, 'BB', 1, 0)) AS BB, SUM(DECODE(miname, 'CC', 1, 0)) AS CC, SUM(DECODE(miname, 'DD', 1, 0)) AS DD, SUM(DECODE(miname, 'EE', 1, 0)) AS EE, SUM(DECODE(miname, 'FF', 1, 0)) AS FF, SUM(DECODE(miname, 'GG', 1, 0)) AS GG, SUM(DECODE(miname, 'HH', 1, 0)) AS HH, SUM(DECODE(miname, 'JJ', 1, 0)) AS JJ, SUM(DECODE(miname, 'KK', 1, 0)) AS KK FROM pivot_test GROUP BY ID; PROJECT AA BB CC DD EE FF GG HH JJ KK ------- -- -- -- -- -- -- -- -- -- -- 1 1 0 1 1 1 1 0 0 0 0 2 1 0 0 0 1 1 1 1 1 1
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Need help for the conversion of the lines in columns
Hi all
I have a table with 2 columns.
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Published by: Girish G July 28, 2011 01:28Girish G wrote:
Hey Tubby,Let me explain the real-world scenario.
I'm the external source CLOB data in oracle stored procedure.
The data are coming in the form below.
col1 # | #col2 # | #col3 ~ | ~ col1 # | #col2 # | #col3 ~ | ~ col1 # | #col2 # | #col3
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and ~ | ~-> is the line delimiter.I want to store these data in a table that has 3 columns.
My approach was to extract the data for each column and store it in a temporary table in separate lines. Then move the data from the temporary table to the destination table.
Are there other alternatives for my requirement? Please suggest.
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Girish GMuch better when you show us the context like that.
It's late and I have sleepiness in my bones, so it's not likely optimal.
select regexp_substr(split, '[^@]+', 1, 1) as col1 , regexp_substr(split, '[^@]+', 1, 2) as col2 , regexp_substr(split, '[^@]+', 1, 3) as col3 from ( select replace(regexp_substr(source_str, '[^@]+', 1, level), '#|#', '@') as split from ( select replace('val1#|#val2#|#val3~|~val4#|#val5#|#val6~|~val7#|#val8#|#val9', '~|~', '@') as source_str from dual ) connect by level <= length(source_str) - length (replace(source_str, '@') ) + 1 );
I do not have an instance running (tested on XE) 11 so I can't use "magical" things like regexp_count and fun stuff. This should give you a basic idea of how to analyze data well.
I decode your delimiters in something "more manageable" just because it's easier than worrying about the escaping of special characters and all that fun stuff I'm too asleep to try.
Since you are dealing with a CLOB (you actually over 4,000 characters of data?) you have to give it up and look for a function in the pipeline as a suitable alternative.
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Kind regardsThe WITH clause is called subquery factoring (http://download.oracle.com/docs/cd/B19306_01/server.102/b14200/statements_10002.htm#i2077142)
It is used to create tables of nickname, roughly the same as using inline views in the query.
for example, it's the same thing...
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Simply, it makes it more tidy code and allows the same sets of data to be referenced multiple times in a query without duplicating the request online.
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Divide the lines into different columns
HRCM_RECRUITMENT_NO amount facilities
R000035 MONEY, FOOD, BASIC 0,0,0
I did the result like this
Now, I want to like this
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Please help me! Tell me what to do?Hello
This will not work unless you have constant facilities for all HRCM_RECRUITMENT_NO.SQL> with h as 2 (select 'R000035' HRCM_RECRUITMENT_NO ,'CASH,FOOD,BASIC' Facilities ,'0,0,0' Amount from dual) 3 select HRCM_RECRUITMENT_NO,regexp_substr(Facilities,'[^,]+',1,1) f1, 4 regexp_substr(Facilities,'[^,]+',1,2) f2, 5 regexp_substr(Facilities,'[^,]+',1,3) f3, 6 regexp_substr(Amount,'[^,]+',1,1) A1, 7 regexp_substr(Amount,'[^,]+',1,2) A2, 8 regexp_substr(Amount,'[^,]+',1,3) A3 9 from h; HRCM_RE F1 F2 F3 A A A ------- ---- ---- ----- - - - R000035 CASH FOOD BASIC 0 0 0
Twinkle
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CREATE TABLE Calendar_1
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Tuesday (1) tank,.
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);
INSERT INTO Calendar_1 VALUES ('A', ' B ', 'C' ' d ' ");
COMMIT;
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DAYS
--------
A
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D
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Concerning
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I have to rotate a table, but without knowing the actual values of the columns.
I have:
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cust_id varchar2 (10),
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number of recipes);
insert into test ('123', 201010, 1000) values;
insert into test ('123', 201011, 1050) values;
insert into test ('123', 201012, 200) values;
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insert into test ('125', 201011, 2050) values;
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MIAuser543426 wrote:
I still have 3 distinct values for month_id, but I do not have at the time of the selection.
You can use an approach to table pivot, as explained in {message identifier: = 9275390}.
Before using the PivotTable, delete its contents, run a SELECT to get your 3 distinct values and insert in the PivotTable.
Then run the SQL pivot.
No need of dynamic SQL or PL/SQL - like you are dealing with 3 columns static pivot for 3 distinct values. The actual values are not relevant to the process itself.
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storing text, you are limited to... Well... just out of text.
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