I need to generate interactive report in Oracle Apex by comparing 2 tables. Each table has Columns: Date, Tag, Number.
Table 1: contains History of the changes of Column: Number and writes on which date the column: Number was changed.
Table 2 : Also has column: Number and column: Date (column: Date which shows different values for column: Number for the different dates of the month).
The Report is being generated when comparing columns "Tag_id" between table 1 and table 2
so we know which value from column: number in table 1 is referring to column: number in table 2. (...where table1.tag=table2.tag).
Table 2 contains date in column: number for every day of the month,
and Table 1 contains date that is changed in column: number once every 1,2,3 or more days.
I want the report to show values from column: Number from Table 1 and to show the values from column: Number from Table 2 while making comparison between table 1 and table 2 by column: Date.
The problem is when in Table 1 there is no date in column:Date which is equal to date in column:Date in Table 2, the Database doesnt know which value for column:Number to return in the Generated Report.
What I want to achieve:
When there is no date match in the columns:Date between Table 1 and Table 2 I want in the Generated report in Apex to return the value from column:Number from Table 2 for the
Date for which there is no match* and the value of column:Number from Table 1 for the closest previous date by using only SQL Query.
Interesting question. I don't know about Apex, but if it were Oracle's MySQL, I'd go along the way of:
SELECT
t2.id,
t2.date,
CASE WHEN t1.date IS NULL
THEN (SELECT table1.number FROM table1 WHERE table1.data <= t2.data ORDER BY table1.data DESC LIMIT 1)
ELSE t1.number
END AS numberT1,
t2.number as numberT2
FROM table2 t2
LEFT JOIN table1 t1 ON t1.date = t2.date
Related
There is a table with two fields: Id and Timestamp.
Id is an increasing sequence. Each insertion of a new record into the table leads to the generation of ID(n)=ID(n-1) + 1. Timestamp is a timestamp that, when inserted retroactively, can take any values less than the maximum time of all previous records.
Retroactive insertion is the operation of inserting a record into a table in which
ID(n) > ID(n-1)
Timestamp(n) < max(timestamp(1):timestamp(n-1))
Example of a table:
ID
Timestamp
1
2016.09.11
2
2016.09.12
3
2016.09.13
4
2016.09.14
5
2016.09.09
6
2016.09.12
7
2016.09.15
IDs 5 and 6 were inserted retroactively (their timestamps are lower than later records).
I need a query that will return a list of all ids that fit the definition of insertion retroactively. How can I do this?
It can be rephrased to :
Find every entries for which, in the same table, there is an entry with a lesser id (a previous entry) having a greater timestamp
It can be achieved using a WHERE EXISTS clause :
SELECT t.id, t.timestamp
FROM tbl t
WHERE EXISTS (
SELECT 1
FROM tbl t2
WHERE t.id > t2.id
AND t.timestamp < t2.timestamp
);
Fiddle for MySQL It should work with any DBMS, since it's a standard SQL syntax.
I have a two table where I have some values in a column UniqueKeys such as:
Table 1
2016_2016-2 S2_001840_30_01
2017_2017-2 D4_002213_3_01
The problem is that I am trying to match these with table 2 Unique values where the values are written in a different order such as :
Table 2:
001840_2016-2_S2_30_D_179_364128_400985
002213_2017-2_D4_3_E_752_376901_422828
Table 1 is from a different source system and table 2 is from different one. What I am trying to achieve is create a new table TABLE 3 where when the unique values match between table 1 and table 2 then insert the data from certain columns of table 1 and 2 into table 3 or else ignore the rest.
The way the Unique values should be is the following:
Year and Period: 2016-2
Cycle : S2
Unit: 001840
Group: 30
Giving the end result in Table 3 as:
001840_2016-2_S2_30
002213_2017-2_D4_3
You need to split both input values by "_" and then recombine the parts in the way they lead to the same format. Then you can join the tables.
Use two functions, the first one for values from type table 1, the second for values from table 2.
Effekt:
SELECT ...
FROM table1
JOIN table2 ON splitfunction1(table1.Key1) = splitfunction2(table2.Key2);
i have a requirement like below
i have two tables in same data base, both table have same structure and column count.but the columns not present in the same position.
ex:
table 1
id name age
1 dhileep 22
2 uday 33
table 2
id age name
1 20 udayga
2 22 uday
i have id column is same for all tables, if i change the table also i have id same, but may columns name and column count and data count will change.
my final output is:
column_name id table1 table 2
name 1 dhileep udayga
note: i gave above as example, the count of columns is more than 500 and data exist approximately 50000+
use Sql JOIN .to join the 2 tables
use the following answer .i think it is useful for u.
SELECT t1.id,t1.name,t2.name FROM table1 AS t1 JOIN table2 AS t2 ON t1.id = t2.id
Update a table based on a results of a group by
I've got a tricky update problem I'm trying to solve. There are two tables that contain the same three columns plus additional varied columns, looking like this:
Table1 {pers_id, loc_id, pos, ... }
Table2 {pers_id, loc_id, pos, ... }
None of the fields are unique. The first two fields collectively identify the records in a table (or tables) as belonging to the same entity. Table1 could have 15 records belonging to an entity, and table2 could have 4 records belonging to the same entity. The third column 'pos' is an index from 0 to whatever, and this is the column that I'm trying to update.
In Table1 and in Table2, the pos column begins at 0, and increments based on user selection, so that in the example (15 records in table1 and 4 records in table2), table1 contains 'pos' values of 0 - 14, and Table2 contains 'pos' values of 0-3.
I want to increment the pos field in Table1 with the results of the count of similar entities in Table2. This is the sql statement that correctly gives me the results from table2:
select table2.pers_id, table2.loc_id, count(*) as pos_increment from table2 group by table2.pers_id, table2.loc_id;
The end result of the update, in the example (15 records in table1 and 4 records in table2), would be all records in Table1 of the same entity being incremented by 4 (the result of the specific entity group by). 0 would be changed to 4, 15 to 19, etc.
Is this achievable in a single statement?
Since you only need to increment the pos field the solution is really simple:
update table1 t1
set t1.pos = t1.pos +
(select count(1)
from table2 t2
where t2.pers_id = t1.pers_id
and t2.loc_id = t1.loc_id)
Yes, this is possible, you can use MERGE for some of these upadtes and there are ways to relate values between the update and the subselect. I have done this in the past, but it's tricky and I don't have an existing example.
You can find several examples on this site, some for Oracle and some for other database that will awork with slight modifications.
I've got a data set that looks as follows:
The first column is an auto-increment primary key. The second column is an ID number for whatever, maybe 3 rocks with IDs 1, 2 and 3 respectively. (I probably should have used the standard customer and order example but oh well.) The third column is a date when I threw the rock. I track the date each time the rock is thrown, hence the multiple IDs (the second column) each with a throwing time.
I want a query to return the rock ID and most recent date for each ID. The result of course would have a single record for each ID - the one with the latest access time.
I'm struggling with the possible combination of "DISTINCT", "TOP 1" and "GROUP BY" clauses that gives the result I want.
SELECT id, max(date)
FROM table
GROUP BY id
If you want also the autoincrement row id then
SELECT t1.rowid, t1.id, t1date
FROM table t1
JOIN (SELECT id,max(date) date FROM table1 t2 GROUP BY id) t2 ON t1.id = t2.id AND t1.date = t2.date