aggregation

问题 Given the following numbers (representing days of week): 1,2,3,4,5,6,7 . Here are some combination examples and their desired output: 1,2,3,5,6,7 -> 1-3,5-7 1,3,5,7 -> 1,3,5,7 1,2,5,6 -> 1,2,5,6 1,2,3,6,7 -> 1-3,6,7 The idea is that 3 or more consecutive days become a range while single or non-following days are rendered separately (or is it nicer to make range starting from 2). I don't know where to start should I write a complicated if ed function or this can be done with one of the LINQ

问题 How to Aggregate below table using linq query Date tagname value 06-06-2018 14:15:00 Poll.Registers Block 0.310-PT-304_(4) 54.73497 06-06-2018 14:15:00 Poll.Registers Block 0.310-PT-304_(5) 3.417564 06-06-2018 14:15:00 Poll.Registers Block 0.310-PT-304_(4) 94.82829 06-06-2018 14:15:00 Poll.Registers Block 0.310-PT-304_(4) 15.08091 06-06-2018 14:15:00 Poll.Registers Block 0.310-PT-304_(5) 3.6422 06-06-2018 14:15:00 Poll.Registers Block 0.310-PT-304_(4) 5.078211 06-06-2018 14:15:00 Poll

问题 I have an elasticsearch query that queries over an index and then aggregates based on a specific field sender_not_analyzed . I then use a term aggregation on that same field sender_not_analyzed which returns buckets for the top "senders". My query is currently: { "size": 0, "query": { "regexp": { "sender_not_analyzed": ".*[@].*" } }, "aggs": { "sender-stats": { "terms": { "field": "sender_not_analyzed" } } } } which returns buckets that look like: "aggregations": { "sender-stats": { "buckets"

问题 I want to aggregate my documents over the different keys in the field "categories". Here are two documents: "date": 1470271301, "categories": { "1": [blabla], "2": [blala] } "date": 144343545, "categories": { "1": [blabla], "2": [coco] "3": [rat, saouth] } Mapping for categories: "categories" : { "properties" : { "1" : { "type" : "long" And i want get something like this: "buckets" : [ { "key" : "1", "doc_count" : 2 }, { "key" : "2", "doc_count" : 2 { "key" : "3", "doc_count" : 1 } Is there a

问题 Let's say we have two classes, A and B . When using composition to model a "has-a" or "is-implemented-in-terms-of" relationship (e.g. B has-a A ), one of the drawbacks vs. inheritance is that B does not the contain public functionality of A that it requires. In order to gain access to A s public functions, it is necessary to provide forwarding functions (as opposed to inheritance, where B would inherit all of A s public functions). To give a more concrete example, let's say we have a Person

问题 I have following document list in ElasticSearch (where scores are nested ): { 'type': 'typeA', 'scores': [ {'type': 'A', 'val': 45}, {'type': 'A', 'val': 55}, {'type': 'B', 'val': 65}, ] }, { 'type': 'typeA', 'scores': [ {'type': 'A', 'val': 55}, {'type': 'A', 'val': 50}, {'type': 'A', 'val': 57}, ] }, { 'type': 'typeB', 'scores': [ {'type': 'B', 'val': 40}, {'type': 'A', 'val': 50}, {'type': 'A', 'val': 60}, ] } Is it possible to have a query that returns average scores per type , but only

问题 How do i perform a query similar to this one in elasticsearch? SELECT field FROM table GROUP BY field OFFSET 10 LIMIT 10; Thank for the answer 回答1: The short answer is that you can't (yet). There's an open issue titled "Paging aggregation support" that should take care of this feature soon. As you can see that issue is two years old, still open and got many +1 from many people. It's still not slated for any releases yet, though. In the meantime, you can retrieve your aggregation with size: 20

问题 I'm working with variables resembling the data val values created below: # data -------------------------------------------------------------------- data("mtcars") val <- c(mtcars$wt, 10.55) I'm cutting this variable in the following manner: # Cuts -------------------------------------------------------------------- cut_breaks <- pretty_breaks(n = 10, eps.correct = 0)(val) res <- cut2(x = val, cuts = cut_breaks) which produces the following results: > table(res) res [ 1, 2) [ 2, 3) [ 3, 4) [

问题 My indexed documents have a schema: { ... 'authors': [{'first name': 'John', 'last name': 'Smith'}, {'first name': 'Mark', 'last name': 'Spencer'}] ... } I would like to search them and aggregate by the individual authors, so get a list with top authors which occurred in my hits. Terms aggregation seems to be a match for my needs, but I'm not able to get it working for field with a list of values. Any help? 回答1: You will probably want to use a nested type, then you can use a nested

问题 I am new to spark scala and I have following situation as below I have a table "TEST_TABLE" on cluster(can be hive table) I am converting that to dataframe as: scala> val testDF = spark.sql("select * from TEST_TABLE limit 10") Now the DF can be viewed as scala> testDF.show() COL1|COL2|COL3 ---------------- abc|abcd|abcdef a|BCBDFG|qddfde MN|1234B678|sd I want an output like below COLUMN_NAME|MAX_LENGTH COL1|3 COL2|8 COL3|6 Is this feasible to do so in spark scala? 回答1: Plain and simple: