I have data as:
Image of data I have
I want to add flag variables in the data as:
Image of data I want
I have tried the lag function but it didn't work due to the variable being character.
I want to flag any change in string variable.Please help.
I solved this using the query along the lines of:
CREATE TEMP TABLE WANT AS(
SELECT *, CASE WHEN LAG(NAME) OVER(PARTITION BY ID ORDER BY ID) != NAME
THEN 1
ELSE 0
END AS FLAG1
FROM DATA_HAVE
ORDER BY
ID);
No judging, just sharing.
I have columns with different company names. In front of each company name there is a Company_ID. After the Company_ID a specific character = _ divides the ID from the Name. For example i have
111_Mercedes
11B4324_Apple
38A_Google
A1ZH8_Airline
I would like to remove all characters including the specific character.
Result should be
Mercedes
Apple
Google
Airline
Thanks in advance
If this is all in one data item and you need a pattern removed, try this:
As an example, 111_Mercedes 11B4324_Apple 38A_Google
The name starts with _ and ends with a space
Because of this, we can use the replace function to set up the process in two steps
1) Wrap the undesired portion in brackets
Sql would look like this
select
concat('<',replace(
replace('111_Mercedes 11B4324_Apple 38A_Google',' ','<')
,'_','>'))
FROM sysibm.sysdummy1
The result would look like
<111>Mercedes<11B4324>Apple<38A>Google
2) Then remove the content in the brackets
Sql would look like this:
Select trim(REGEXP_REPLACE(
'<111>Mercedes<11B4324>Apple<38A>Google'
, '<(.*?)>',' ',1,0,'c'))
FROM sysibm.sysdummy1
The result would look like this
Mercedes Apple Google
For Cognos try to use the functions in the data item definitions
BracketCompany = concat('<',replace(replace([Company ID],' ','<'),'_','>'))
Then another data item over this, to remove the content within the brackets
FinalCompany = trim(REGEXP_REPLACE([BracketCompany], '<(.*?)>',' ',1,0,'c'))
I am trying to return a query that when returns all the courses associated with a course code for example 'CSC' will give me a tuple of [('CSCA08H3F',), ('CSCA20H3F',), ('CSCA67H3F',)]...etc. I know I have to use the LIKE clause, but I seem to be doing it wrong as well feel like there is a simpler way of doing this lol...
def create_course_table(db, course_file):
'''Courses Table should be ID,Course,Section,Name'''
con = sqlite3.connect(db)
cur = con. cursor()
cur.execute('''DROP TABLE IF EXISTS Courses''')
# create the table
cur.execute('''CREATE TABLE Courses( ID TEXT , Course TEXT ,
Sections TEXT , Name TEXT)''')
# Read CSV File
csv_reader = open(course_file, 'r')
csv_reader.readline()
# Insert the rows
for line in csv_reader:
course = line.strip().split(',')
ID = course[0]
Course = course[1]
Section = course[2]
Name = course[3:]
for names in Name:
cur.execute('''INSERT INTO Courses VALUES (?, ?, ?, ?)''',
(ID, Course, Section, names))
# commit and close the cursor and connection
con.commit()
cur.close()
con.close()
db = 'exams.db'
def find_dept_courses(db, dept):
'''Return the courses from the given department. Use the "LIKE"
clause in your SQL query for the course name.'''
return run_query(db, ''' SELECT Course FROM Courses WHERE LIKE Course 'ACT%'
OR LIKE Course 'AFS%' OR LIKE Course 'ANT%' OR LIKE Course 'AST%'
OR LIKE Course 'BIO%'
OR LIKE Course 'CHM%' OR LIKE Course CIT%' OR LIKE Course 'CLA%'
OR LIKE Course 'CRT%' OR LIKE Course 'CSC%' OR LIKE Course 'CTL%'
OR LIKE Course 'ECT%' OR LIKE Course 'EES%' OR LIKE Course 'ENG%'
OR LIKE Course 'EST%' OR LIKE Course 'FRE%' OR LIKE Course 'FST%'
OR LIKE Course 'GAS%'
OR LIKE Course 'GGR%' OR LIKE Course 'HIS%' OR LIKE Course 'HLT%'
OR LIKE Course 'IDS%' OR LIKE Course 'JOU%' OR LIKE Course 'LGG%'
OR LIKE Course 'LIN%' OR LIKE Course 'MAT%' OR LIKE Course 'MDS%'
OR LIKE Course 'MGA%' OR LIKE Course'MGE%' OR LIKE Course 'MGF%'
OR LIKE Course 'MGH%' OR LIKE Course 'MGI%' OR LIKE Course 'MGM%'
OR LIKE Course 'MGO%' OR LIKE Course 'MGS%' OR LIKE Course 'MGT%'
OR LIKE Course 'NRO%' OR LIKE Course 'PHL%' OR LIKE Course 'PHY%'
OR LIKE Course 'PLI%' OR LIKE Course 'POL%' OR LIKE Course 'PPG%'
OR LIKE Course 'PSC%' OR LIKE Course 'PSY%' OR LIKE Course 'RLG%'
OR LIKE Course 'SOC%' OR LIKE Course 'STA%' OR LIKE Course 'VPA%'
OR LIKE Course 'VPD%' OR LIKE Course 'VPM%' OR LIKE Course 'WST%' AND WHERE Course = ? ''', [dept])
Any help or comments would be appreciated.
Familiarize yourself with the proper syntax of the LIKE clause.
You've put the column name after "LIKE". Column name comes before "LIKE".
The following query will return the Course column from all rows in Courses where the Course column starts with the given string.
SELECT Course FROM Courses WHERE Course LIKE ? || "%";
Substitute ? with the desired prefix.
Since all Course column items are uppercase, then you could use IN instead of LIKE.
Simple test at a prompt that shows that printf used on Course can trim it down to 3 characters and so you can compare to 3 characters of each item to search.
sqlite> .schema
CREATE TABLE test (one text);
sqlite> select * from test;
abcd
efgh
ijkl
abcd
efgh
ijkl
abcd
efgh
ijkl
sqlite> select one from test where printf('%.3s',one) in ('abc');
abcd
abcd
abcd
sqlite>
Thus find_dept_courses() could use:
def find_dept_courses(db, dept):
'''Return the courses from the given department. Use the "IN"
clause in your SQL query for the course name.'''
return run_query(db, ''' SELECT Course FROM Courses WHERE printf('%.3',Course)
IN ('ACT','AFS','ANT','AST','BIO','CHM','CIT','CLA','CRT','CSC','CTL',
'ECT','EES','ENG','EST','FRE','FST','GAS','GGR','HIS','HLT','IDS','JOU',
'LGG','LIN','MAT','MDS','MGA','MGE','MGF','MGH','MGI','MGM','MGO','MGS',
'MGT','NRO','PHL','PHY','PLI','POL','PPG','PSC','PSY','RLG','SOC','STA',
'VPA','VPD','VPM','WST') AND WHERE Course = ? ''', [dept])
Edit: If needed sqlite has a upper() and lower() functions to force the case.
sqlite upper function
I need to import certain information from an Excel file into an Access DB and in order to do this, I am using DAO.
The user gets the excel source file from a system, he does not need to directly interact with it. This source file has 10 columns and I would need to retrieve only certain records from it.
I am using this to retrieve all the records:
Set destinationFile = CurrentDb
Set dbtmp = OpenDatabase(sourceFile, False, True, "Excel 8.0;")
DoEvents
Set rs = dbtmp.OpenRecordset("SELECT * FROM [EEX_Avail_Cap_ALL_DEU_D1_S_Y1$A1:J65536]")
My problem comes when I want to retrieve only certain records using a WHERE clause. The name of the field where I want to apply the clause is 'Date (UCT)' (remember that the user gets this source file from another system) and I can not get the WHERE clause to work on it. If I apply the WHERE clause on another field, whose name does not have ( ) or spaces, then it works. Example:
Set rs = dbtmp.OpenRecordset("SELECT * FROM [EEX_Avail_Cap_ALL_DEU_D1_S_Y1$A1:J65536] WHERE Other = 12925")
The previous instruction will retrieve only the number of records where the field Other has the value 12925.
Could anyone please tell me how can I achieve the same result but with a field name that has spaces and parenthesis i.e. 'Date (UCT)' ?
Thank you very much.
Octavio
Try enclosing the field name in square brackets:
SELECT * FROM [EEX_Avail_Cap_ALL_DEU_D1_S_Y1$A1:J65536] WHERE [Date (UCT)] = 12925
or if it's a date we are looking for:
SELECT * FROM [EEX_Avail_Cap_ALL_DEU_D1_S_Y1$A1:J65536] WHERE [Date (UCT)] = #02/14/13#;
To use date literal you must enclose it in # characters and write the date in MM/DD/YY format regardless of any regional settings on your machine
I have the following table with these columns:
shortName, fullName, ChangelistCount
Is there a way to group them by a string literal within their fullName? The fullname represents file directories, so I would like to display results for certain parent folders instead of the individual files.
I tried something along the lines of:
GROUP BY fullName like "%/testFolder/%" AND fullName like "%/testFolder2/%"
However it only really groups by the first match....
Thanks!
Perhaps you want something like:
GROUP BY IF(fullName LIKE '%/testfolder/%', 1, IF(fullName LIKE '%/testfolder2/%', 2, 3))
The key idea to understand is that an expression like fullName LIKE foo AND fullName LIKE bar is that the entire expression will necessarily evaluate to either TRUE or FALSE, so you can only get two total groups out of that.
Using an IF expression to return one of several different values will let you get more groups.
Keep in mind that this will not be particularly fast. If you have a very large dataset, you should explore other ways of storing the data that will not require LIKE comparisons to do the grouping.
You'd have to use a subquery to derive the column values you'd like to ultimately group on:
FROM (SELECT SUBSTR(fullname, ?)AS derived_column
FROM YOUR_TABLE ) x
GROUP BY x.derived_column
Either use when/then conditions or Have another temporary table containing all the matches you wish to find and group. Sample from my database.
Here I wanted to group all users based on their cities which was inside address field.
SELECT ut.* , c.city, ua.*
FROM `user_tracking` AS ut
LEFT JOIN cities AS c ON ut.place_name LIKE CONCAT( "%", c.city, "%" )
LEFT JOIN users_auth AS ua ON ua.id = ut.user_id