aggregation

问题 I use ES v 1.7. ES returns _score just only in "hits" section, but i'm not interested in "hits", I need data from "aggregations" section of responce with _score . Why ES do like that and How to fix it? Requset: { "size": 1, "query": { "bool": { "must": [ { "match": {"_all": {"query": "test","operator": "and","fuzziness": "2"}}} ], "should": [ { "multi_match" : { "query": "test" ,"type": "best_fields" ,"fields": ["ObjectData.PRTNAME","ObjectData.EXTERNALID","ObjectData.contactList.VALUE","

问题 I have a data-set that contains date {yyyy/mm/dd} and time {h,m,s} and temperature {float} as an individual columns. I want to aggregate temperature values for each day by average function. The problem is that, I don't know how I can query the time attribute to say for example aggregate {h,m, (0-5)s} and {h,m, (5-10)s} and {h,m, (10-15)s} and ..., automatically. 回答1: select day, to_char(date_trunc('minute', "time"), 'HH24:MI') as "minute", extract(second from "time")::integer / 5 as "range",

问题 Given a SQL table Transactions ID INT COMPANY_ID INT STATUS INT where STATUS IN (0,1) indicates a free transaction and STATUS IN (2,3) indicates a billable transaction, what simple (I hope) ANSI SQL statement will show me, per COMPANY_ID , the number of billable transactions, non-billable transactions, and their ratio? A conceptual prod in the right direction is fine if not a specific statement. My first attempts are to self-join on the table with WHERE clauses for the two status groups, but

问题 I would like to count how many rows there are per type if they meet the condition x == 0 . Sort of like a group by in SQL Here is an example of the data type x search 0 NULL 0 public 0 search 1 home 0 home 1 search 0 回答1: I am assuming that you want to find the number of rows when a particular condition (when a variable is having some value) is met. If this is the case, then I suppose you have "x" as a variable represented in a column. "x" can take multiple values. Suppose you want to find

问题 I have a mongo object with these fields: DateTime TimeStamp; float Value; How can I get the aggregation pipeline, in C#, with LINQ, to get the minimum, maximum and average of Value over a specific timestamp range? I have seen a few aggregation examples, but I don't quite get it. Having an example on a simple case like this would certainly (hopefully) make me understand it. 回答1: You can use LINQ syntax which gets translated into Aggregation Framework's syntax. Assuming you have following Model

问题 I am trying to post a Action to the Facebook Timeline using the JS API FB.api('/me/application:action_type' + '?opject_type='+document.location.href,'post', function(response) { if (!response || response.error) { alert("error"); } else { alert("success"); } }); Posting works quite well and the API returns no error. A new activity appears at the Timeline but only as a small text within the "recent activities" box which looks like this: What could be the problem if the action is not displayed

问题 I have aggregation where I link a parent Pom using the <modules> element, and then I have the <parent> specified in each child pom. Is there a way I can build only a subset of the child modules from the parent pom... i.e. cd parent-dir mvn install subproj1 subproj2 回答1: You can run Maven like this: mvn install -pl subproj1,subproj2 PS: another good Maven command to try: mvn -? 来源： https://stackoverflow.com/questions/13567960/how-to-maven-build-child-projects

问题 On sites like SO, I'm sure it's absolutely necessary to store as much aggregated data as possible to avoid performing all those complex queries/calculations on every page load. For instance, storing a running tally of the vote count for each question/answer, or storing the number of answers for each question, or the number of times a question has been viewed so that these queries don't need to be performed as often. But does doing this go against db normalization, or any other standards/best

问题 I must apply a certain transformation fn(argument) . Here argument is equal to value , but not when it is negative. When you get a first negative value , then you "wait" until it sums up with consecutive values and this sum becomes positive. Then you do fn(argument) . See the table I want to get: value argument --------------------- 2 2 3 3 -10 0 4 0 3 0 10 7 1 1 I could have summed all values and apply fn to the sum, but fn can be different for different rows and it is essential to know the

问题 Assuming I have the following DataFrame: +---+--------+---+----+----+ |grp|null_col|ord|col1|col2| +---+--------+---+----+----+ | 1| null| 3|null| 11| | 2| null| 2| xxx| 22| | 1| null| 1| yyy|null| | 2| null| 7|null| 33| | 1| null| 12|null|null| | 2| null| 19|null| 77| | 1| null| 10| s13|null| | 2| null| 11| a23|null| +---+--------+---+----+----+ here is the same sample DF with comments, sorted by grp and ord : scala> df.orderBy("grp", "ord").show +---+--------+---+----+----+ |grp|null_col