duplicate-removal

问题 Let me first say that being able to take 17 million records from a flat file, pushing to a DB on a remote box and having it take 7 minutes is amazing. SSIS truly is fantastic. But now that I have that data up there, how do I remove duplicates? Better yet, I want to take the flat file, remove the duplicates from the flat file and put them back into another flat file. I am thinking about a: Data Flow Task File source (with an associated file connection) A for loop container A script container

问题 Let me first say that being able to take 17 million records from a flat file, pushing to a DB on a remote box and having it take 7 minutes is amazing. SSIS truly is fantastic. But now that I have that data up there, how do I remove duplicates? Better yet, I want to take the flat file, remove the duplicates from the flat file and put them back into another flat file. I am thinking about a: Data Flow Task File source (with an associated file connection) A for loop container A script container

问题 Let me first say that being able to take 17 million records from a flat file, pushing to a DB on a remote box and having it take 7 minutes is amazing. SSIS truly is fantastic. But now that I have that data up there, how do I remove duplicates? Better yet, I want to take the flat file, remove the duplicates from the flat file and put them back into another flat file. I am thinking about a: Data Flow Task File source (with an associated file connection) A for loop container A script container

问题 Say I have the following text string in one single Excel cell: John John John Mary Mary I want to create a formula (so no menu functions or VBA, please) that would give me, on another cell John Mary How can I do this? What I've tried so far was search the internet and SO about the issue and all I could find were solutions involving Excel's built-in duplicate removal or something involving countif and the replacement of duplicates for "" . I've also taken a look at the list of Excel functions,

问题 Given a class with the following definition: public class MyTestClass { public int ValueA { get; set; } public int ValueB { get; set; } } How can duplicate values be found in a MyTestClass[] array? For example, MyTestClass[] items = new MyTestClass[3]; items[0] = new MyTestClass { ValueA = 1, ValueB = 1 }; items[1] = new MyTestClass { ValueA = 0, ValueB = 1 }; items[2] = new MyTestClass { ValueA = 1, ValueB = 1 }; Contains a duplicate as there are two MyTestClass objects where ValueA and

问题 This question already has answers here : How can I remove all duplicates so that NONE are left in a data frame? (2 answers) Closed last year . I am looking for a way to remove all duplicate elements from a vector, including the reference element. By reference element I mean the element which is currently used in comparisons, to search for its duplicates. For instance, if we consider this vector: a = c(1,2,3,3,4,5,6,7,7,8) I would like to obtain: b = c(1,2,4,5,6,8) I am aware of duplicated()

问题 I'm using a 2D shape array to store pairs of longitudes+latitudes. At one point, I have to merge two of these 2D arrays, and then remove any duplicated entry. I've been searching for a function similar to numpy.unique, but I've had no luck. Any implementation I've been thinking on looks very "unoptimizied". For example, I'm trying with converting the array to a list of tuples, removing duplicates with set, and then converting to an array again: coordskeys = np.array(list(set([tuple(x) for x

问题 Let's say I have four samples: id=1, 2, 3, and 4, with one or more measurements on each of those samples: > a <- data.frame(id=c(1,1,2,2,3,4), value=c(1,2,3,-4,-5,6)) > a id value 1 1 1 2 1 2 3 2 3 4 2 -4 5 3 -5 6 4 6 I want to remove duplicates, keeping only one entry per ID - the one having the largest absolute value of the "value" column. I.e., this is what I want: > a[c(2,4,5,6), ] id value 2 1 2 4 2 -4 5 3 -5 6 4 6 How might I do this in R? 回答1: First. Sort in the order putting the less

问题 I have the two following data frames (example): df1: name profile type strand A 4.5 1 + B 3.2 1 + C 5.5 1 + D 14.0 1 - E 45.1 1 - F 32.8 1 - G 19.9 1 + df2: name A B C G I would like to delete the rows in df1 for which df1$name = df2$name to get the following: Output: name profile type strand D 14.0 1 - E 45.1 1 - F 32.8 1 - If anyone could tell me which piece of code to use it would be a lot of help, seemed simple at first but I've been messing it up since yesterday. 回答1: You need the %in%

问题 I have the below table with the below records in it create table employee ( EmpId number, EmpName varchar2(10), EmpSSN varchar2(11) ); insert into employee values(1, 'Jack', '555-55-5555'); insert into employee values (2, 'Joe', '555-56-5555'); insert into employee values (3, 'Fred', '555-57-5555'); insert into employee values (4, 'Mike', '555-58-5555'); insert into employee values (5, 'Cathy', '555-59-5555'); insert into employee values (6, 'Lisa', '555-70-5555'); insert into employee values