Like I have a question
Col1 Col2 Col3
45321_320 A Y
45321_320 A N
76453-10 A Y
45638_80 A Y
So we need to count the no of rows that have same col1 for example the first two rows should be considered as count=2 and rest as count=1 and after that count=2 or more that records need to filtered out on the basis of Col3=Y, so how we can do that in informatica
https://i.stack.imgur.com/JkxnG.png
This is little tricky. Pls follow below steps.
Sort the data base on col1.
Use agg to aggregate. Create a new col called count_col1.
create another col, cnt_col3_y = count(*, col3=y)
Join agg output with sorter output based on col1.
Put a filter. Logic should be
iif( count_col1>1 and cnt_col3>0, false, true)
Link output of filter to target.
This will generate output like below.
Col1 Col2 Col3
76453-10 A Y
45638_80 A Y
If you want different output let me know.
Related
I have table 'tblA' with only 1 column named 'Value'
Value
1
2
The second table 'tblB' with several columns
Col1 Col2
Test A
Dump B
How can I have a join between them so that I will have new table with result like this (each value in tblA will fill in to all rows in tblB):
Col1 Col2 Value
Test A 1
Dump B 1
Test A 2
Dump B 2
I also tried to use for loop to get one-by-one value in tblA. But it seems that DAX didn't support loop.
Please advise.
Use expression for a calculated table
tblC = CROSSJOIN ( tblA, tblB )
What will be the expected result of the below.
I have table A with column1,
I'm trying to map column1 to SQ, which has 3 columns - col1, col2 and col3.
Link Column1 to col1,col2 and col3 in SQ. Now when I try to generate SQL query for SQ, what will be the result?
Since OP is waiting for answer and doesnt have informatica to test it out, let me answer to that.
if you connect one column to three columns in SQ and then connect all those three columns to next transformation, then your generated SQL will contain one column repeated thrice from source.
Here are some screenshot from a dummy map i created.
mapping screenshot -
Then here is generate SQL -
SELECT
ITEM.ITEM_NUM, ITEM.ITEM_NUM, ITEM.ITEM_NUM
FROM
ITEM
I want to update multiple columns in same update statement with one column depends upon another new column new value.
Example:
Sample Data: col1 and col2 is the column names and test_update is the table name.
SELECT * FROM test_update;
col1 col2
col-1 col-2
col-1 col-2
col-1 col-2
update test_update set col1 = 'new', col2=col1||'-new';
SELECT * FROM test_update;
col1 col2
new col-1-new
new col-1-new
new col-1-new
What I need to achieve is col2 is updated as new-new as we updated value of col1 is new.
I think may be its not possible in one SQL statement. If possible How can we do that, If its not What is best way of handling this problem in Data Warehouse environment, like execute multiple update 1st on col1 and then on col2 or any other.
Hoping my question is clear.
You cannot update the second column based on the result of updating the first column. However this can be achieved in a single by "pre-calculating" the result you want and then updating based on that.
The following update using a join is based on the example provided in the Redshift documentation:
UPDATE test_update
SET col1 = precalc.col1
, col2 = precalc.col2
FROM (
SELECT catid
, 'new' AS col1
, col1 || '-new' AS col2
FROM test_update
) precalc
WHERE test_update.id = precalc.id;
;
below is an example document I have shared:
https://docs.google.com/spreadsheets/d/1WuQIqn8DA12R0mNFGMdjJahQ0eNoxKODpSwopk7KoYU/edit#gid=0
My data is simple table:
I want to do the following:
For starting cell K7 on patient tab
I want to query the call log tab for
two main conditions.
Query select loqic: return rows D,E,F,A when certain conditions are met:
if text colC equals text in patient tab cell c7 AND col D says "No beds Available" And colI shows time left to calling greater than 0
OR If not than:
if col B=cell H3 in patient tab, and Col C= Cell C7 in patient tab
Thank you for your help
My example could help you.
Suppose you have a small data, like this, columns A:D:
Then you may use query state with two or more OR conditions, but insert them into parentheses. Sample formula:
=QUERY({A:D},"select Col1, Col2, Col3, Col4 where (Col1 < 7 and Col3 = 'c') or (Col2 = 'a' and Col4 > 0)")
To use Col1, Col2, Col3... notation inside query, data must be inside {}
I'm new to python. I have two .csv files with identical columns, but my oldlist.csv has been edited for row[9] with employee names, the newlist.csv when generated defaults to certain domains for names. I want to be able to take the oldlist.csv compare to newlist.csv and override columns in newlist.csv with the data in row[9] from oldlist.csv. Thanks for your help.
Example: (oldlist) col1, col2 (newlist) col1, col2
1234, Bob 1234, Jane
I want to read oldlist, if col1 == col1 in newlist override col2 and I want to contine to write.write(row) for everything matching in col from oldlist