aggregate

问题 Please note that this question is not about how to change the code below to make it work; rather, I am looking for some insight on why a compiler would find this assignment ambiguous: entity assignment_to_aggregates is end; architecture example of assignment_to_aggregates is type vowel_type is (a, e, i, o, u); type consonant_type is (b, c, d, f, g); type vowel_consonant_pair is record vowel: vowel_type; consonant: consonant_type; end record; signal my_vowel: vowel_type; signal my_consonant:

问题 The problem I am implementing a microservice as an event-sourcing aggregate which, in turn, is implemented as a Flink FlatMapFunction. In the basic setup, the aggregate reads events and commands from two kafka topics. Then, it writes new events to that first topic and processing results in a third topic. Therefore, Kafka acts as the event store. Hope this drawing helps: RPC Request RPC Result | | ~~~~> Commands-| |---> Results ~~~~~~| |-->Aggregate--| ~> Input evs. -| |---> output evs. ~~~ |

问题 UPDATED How to display 1 more column next to that u2 called CUMULATIVE TOTAL it should display total number of students total payable total paid and total due based on counsellors. Consider i have c1,c2,c3,c4 as counsellors and u1,u2 as universities say c1 has 5 student in each university in that case CUMULATIVE TOTAL column should show total number of students column as [c1][No of students]=10, [c1][Payable]=some value, [c1][Paid]=some value, [c1][Balence]=some value Please check the

问题 I would like to assign different group number for each pairs of rows. and for some pairs assigning unique numbers as a group number. edit We can think of those are exist in the data as pairs. If those pairs exist in the rows, assign a group number to them until the next pairs. Since there might be other data rows in the real data. Here is the example data names <- c(c("bad","good"),c("good","bad"),c("bad","J.James"),c("Good","J.James"),c("J.James","Good"),c('Veni',"vidi","Vici")) df <- data

问题 UserDetails { "_id" : "5c23536f807caa1bec00e79b", "UID" : "1", "name" : "A", }, { "_id" : "5c23536f807caa1bec00e78b", "UID" : "2", "name" : "B", }, { "_id" : "5c23536f807caa1bec00e90", "UID" : "3", "name" : "C" } UserProducts { "_id" : "5c23536f807caa1bec00e79c", "UPID" : "100", "UID" : "1", "status" : "A" }, { "_id" : "5c23536f807caa1bec00e79c", "UPID" : "200", "UID" : "2", "status" : "A" }, { "_id" : "5c23536f807caa1bec00e52c", "UPID" : "300", "UID" : "3", "status" : "A" } Groups { "_id" :

问题 Is it possible to make one big array from a query like: select array_append(ARRAY[0], console_id) from archive_sessions where tournament_id = 14817 I tried with group by but I have to use console_id in it and it still is more than 1 row. And how in this query initializing an empty ARRAY[] ? 回答1: You want array_agg select array_agg(console_id) as consoles from archive_sessions where tournament_id = 14817 回答2: If the query only returns column(s) that go into the array, use an ARRAY constructor:

问题 Name of member Allowance Type Expenditure Type Date Amount, £ Adam Afriyie Office running costs (IEP/AOE) Incidentals 07/03/2009 111.09 Adam Afriyie Office running costs (IEP/AOE) Incidentals 11/05/2009 111.09 Adam Afriyie Office running costs (IEP/AOE) Incidentals 11/05/2009 51.75 Adam Holloway Office running costs (IEP/AOE) Incidentals 10/01/2009 35 Adam Holloway Office running costs (IEP/AOE) Incidentals 10/01/2009 413.23 Adam Holloway Office running costs (IEP/AOE) Incidentals 10/01/2009

问题 I am using an aggregate initializer to set up a block of static data for a unit test. I would like to use the array size as the expected number of elements, but this can fail if too few initializers are provided: my_struct_type expected[14] = { { 1.234, 0, 'c' }, { 3.141, 1, 'z' }, { 2.718, 0, 'a' } }; This gives no compiler error in Visual Studio 2008. I would like to be able to use it as such: const unsigned expected_size = sizeof(expected) / sizeof(my_struct_type); BOOST_CHECK_EQUAL(points

问题 I apologize for the verbose title, but I really couldn't come up with something better. Basically, I have data with the following schema: |-- id: string (nullable = true) |-- mainkey: map (nullable = true) | |-- key: string | |-- value: array (valueContainsNull = true) | | |-- element: struct (containsNull = true) | | | |-- price: double (nullable = true) | | | |-- recordtype: string (nullable = true) Let me use the following example data: {"id":1, "mainkey":{"key1":[{"price":0.01,"recordtype

问题 I have a data frame. I want to aggregate one column of it based on another list. df<-data.frame(X=c("a", "b", "c", "d"), Y=c(0.5, 0.4, 0.01, 0.09)) X Y a 0.5 b 0.4 c 0.01 d 0.09 l<-c("a", "c", "d") l is the list which needs to grouped together. So, here I want to group all the elements in df$X that are there in l. My desired result is: X Y a' 0.6 b 0.4 Any idea on how to do this? Thanks. 回答1: We can "temporarily" change the relevant X values to the same grouping variable and then aggregate.