duplicates

Some beta-users of my upcoming app are reporting that the list of contacts contain a lot of duplicate records. I'm using the result from ABAddressBookCopyArrayOfAllPeople as the data source for my customized table view of contacts, and it baffles me that the results are different from the iPhone's 'Contacts' app. When looking more closely at the Contacts app, it seems that the duplicates originate from entries with "Linked Cards". The screenshots below have been obfuscated a bit, but as you see in my app on the far right, "Celine" shows up twice, while in the Contacts app on the left there's

I have a table contains order information like below: Order table : As we can see from that table, each order_no has several duplicates. So what I want is to keep only one row for each order_no (no matter which one it is) Is anyone knows how to do this? (FYI, I am using Oracle 10) This should work, even in your ancient and outdated Oracle version: delete from order_table where rowid not in (select min(rowid) from order_table group by order_no); If you don't care which row you get for each order_no, perhaps the simplest solution (before Oracle 12) is: select [whatever columns you want, probably

i have this list: ['Boston Americans', 'New York Giants', 'Chicago White Sox', 'Chicago Cubs', 'Chicago Cubs', 'Pittsburgh Pirates', 'Philadelphia Athletics', 'Philadelphia Athletics', 'Boston Red Sox', 'Philadelphia Athletics', 'Boston Braves', 'Boston Red Sox', 'Boston Red Sox', 'Chicago White Sox', 'Boston Red Sox', 'Cincinnati Reds', 'Cleveland Indians', 'New York Giants', 'New York Giants', 'New York Yankees', 'Washington Senators', 'Pittsburgh Pirates', 'St. Louis Cardinals', 'New York Yankees', 'New York Yankees', 'Philadelphia Athletics', 'Philadelphia Athletics', 'St. Louis Cardinals'

I want to post the several same messages onto my feed/wall in an iOS application. From the 2nd try, I receive this error - (#506) Duplicate status message. How can I solve it? You can't. That is Facebook's way to tell you to stop spamming. Sorry if it sounds slightly mean - but posting the same message over and over and over again is spamming, and its not good. The error message you are getting describes the problem - you are posting the same status message. It is a special error message created specifically for this case. I check for the 506 code and don't show any error to the user in case

So I have a dataframe (or series) where there are always 4 occurrences of each of column 'A', like this: df = pd.DataFrame([['foo'], ['foo'], ['foo'], ['foo'], ['bar'], ['bar'], ['bar'], ['bar']], columns=['A']) A 0 foo 1 foo 2 foo 3 foo 4 bar 5 bar 6 bar 7 bar I also have another dataframe, with values like the ones found in column A, but they don't always have 4 values. They also have more columns, like this: df_key = pd.DataFrame([['foo', 1, 2], ['foo', 3, 4], ['bar', 5, 9], ['bar', 2, 4], ['bar', 1, 9]], columns=['A', 'B', 'C']) A B C 0 foo 1 2 1 foo 3 4 2 bar 5 9 3 bar 2 4 4 bar 1 9 I

If I create a python dictionary with a dict comprehension, but there are duplicate keys, am I guaranteed that the last item will the the one that ends up in the final dictionary? It's not clear to me from looking at https://www.python.org/dev/peps/pep-0274/ ? new_dict = {k:v for k,v in [(1,100),(2,200),(3,300),(1,111)]} new_dict[1] #is this guaranteed to be 111, rather than 100? Last item wins. The best documentation I can find for this is in the Python 3 language reference, section 6.2.7 : A dict comprehension, in contrast to list and set comprehensions, needs two expressions separated with a

I am querying from tableONE and trying to insert the result set into tableTWO. This can cause a duplicate key error in tableTWO at times. So i want to ON DUPLICATE KEY UPDATE with the NEW determined value from the tableONE result set instead of ignoring it with ON DUPLICATE KEY UPDATE columnA = columnA . INSERT INTO `simple_crimecount` (`date` , `city` , `crimecount`)( SELECT `date`, `city`, count(`crime_id`) AS `determined_crimecount` FROM `big_log_of_crimes` GROUP BY `date`, `city` ) ON DUPLICATE KEY UPDATE `crimecount` = `determined_crimecount`; # instead of [ON DUPLICATE KEY UPDATE

When using LOAD DATA INFILE, is there a way to either flag a duplicate row, or dump any/all duplicates into a separate table? From the LOAD DATE INFILE documentation : The REPLACE and IGNORE keywords control handling of input rows that duplicate existing rows on unique key values: If you specify REPLACE, input rows replace existing rows. In other words, rows that have the same value for a primary key or unique index as an existing row. See Section 12.2.7, “REPLACE Syntax” . If you specify IGNORE, input rows that duplicate an existing row on a unique key value are skipped. If you do not specify