aggregation

Aggregation vs Composition vs Association vs Direct Association

由 旧城冷巷雨未停 提交于 2019-11-28 02:47:48
I am reviewing my knowledge in object-oriented programming. Under the relationship between classes topic, I have encountered some relationships which are a bit ambiguous to me. I know dependency "uses-a" and inheritance "is-a" but I'm a bit unfamiliar with Aggregation, Composition, Association and Direct Association; also, which of them is "has-a" relationship. Some use Aggregation interchangeably with Association. What is Direct Association? Also, what is Composition? In UML diagrams, the arrows that represents them are different. I would be really thankful if you could clear these things out

Access logger from Elasticsearch script

由 谁都会走 提交于 2019-11-28 00:30:53
问题 I use the scripts aggressively for scoring and aggregation. One thing i cant figure out is how to emit logs from the script. I tried console.log , but then it didnt work out. Kindly let me know , how i can emit logs from my groovy script. 回答1: This can be done by accessing global Elasticsearch logger instance. Its groovy example is given below You should be able to do something similar for javascript and other scripting languages too. import org.elasticsearch.common.logging.*; ESLogger logger

Aggregate bitwise-OR in a subquery

由 点点圈 提交于 2019-11-27 23:28:38
Given the following table: CREATE TABLE BitValues ( n int ) Is it possible to compute the bitwise-OR of n for all rows within a subquery ? For example, if BitValues contains these 4 rows: +---+ | n | +---+ | 1 | | 2 | | 4 | | 3 | +---+ I would expect the subquery to return 7. Is there a way to do this inline, without creating a UDF ? WITH Bits AS ( SELECT 1 AS BitMask UNION ALL SELECT 2 UNION ALL SELECT 4 UNION ALL SELECT 8 UNION ALL SELECT 16 ) SELECT SUM(DISTINCT BitMask) FROM ( SELECT 1 AS n UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 ) AS

How to use Aggregate function in R

由 北慕城南 提交于 2019-11-27 22:31:00
can you help me please how to properly use aggregate function in R? I have data like this: SPORT FLOWS [1,] "Other" "1" [2,] "Other" "1" [3,] "Other" "1" [4,] "Other" "1" [5,] "Other2" "1" [6,] "Other2" "1" And I need to get this: SPORT FLOWS [1,] "Other" "4" [2,] "Other2" "2" I found, that it can be done with aggregate function, but it doesn't work.. Thank you guys.. I have marked answer which worked for me.. aggregate(FLOWS ~ SPORT, dat, function(x) sum(as.numeric(x))) where dat is the name of your matrix. Here, the function is.numeric is necessary to transform the second column into numbers

Apache camel to aggregate multiple REST service responses

由 筅森魡賤 提交于 2019-11-27 21:09:36
问题 I m new to Camel and wondering how I can implement below mentioned use case using Camel, We have a REST web service and lets say it has two service operations callA and callB. Now we have ESB layer in the front that intercepts the client requests before hitting this actual web service URLs. Now I m trying to do something like this - Expose a URL in ESB that client will actually call. In the ESB we are using Camel's Jetty component which just proxies this service call. So lets say this URL be

How to use Aggregate function in R

由 血红的双手。 提交于 2019-11-27 16:56:02
问题 can you help me please how to properly use aggregate function in R? I have data like this: SPORT FLOWS [1,] "Other" "1" [2,] "Other" "1" [3,] "Other" "1" [4,] "Other" "1" [5,] "Other2" "1" [6,] "Other2" "1" And I need to get this: SPORT FLOWS [1,] "Other" "4" [2,] "Other2" "2" I found, that it can be done with aggregate function, but it doesn't work.. Thank you guys.. I have marked answer which worked for me.. 回答1: aggregate(FLOWS ~ SPORT, dat, function(x) sum(as.numeric(x))) where dat is the

Pandas - possible to aggregate two columns using two different aggregations?

由 回眸只為那壹抹淺笑 提交于 2019-11-27 15:39:31
问题 I'm loading a csv file, which has the following columns: date, textA, textB, numberA, numberB I want to group by the columns: date, textA and textB - but want to apply "sum" to numberA, but "min" to numberB. data = pd.read_table("file.csv", sep=",", thousands=',') grouped = data.groupby(["date", "textA", "textB"], as_index=False) ...but I cannot see how to then apply two different aggregate functions, to two different columns? I.e. sum(numberA), min(numberB) 回答1: The agg method can accept a

Combine/aggregate eclipse p2 repositories / extendable p2 repository

由 时光毁灭记忆、已成空白 提交于 2019-11-27 11:45:50
问题 With maven/tycho build for Nodeclipse Eclipse plugin there is new p2 repository every release. Release is done on Bintray that does not allow to update files. So every version goes in its folder. BaseFolder BaseFolder/VersionFolder1 BaseFolder/VersionFolder2 BaseFolder/VersionFolder3 Is it possible to have BaseFolder prepared once as extendable p2 repository, and VersionFolderN added later? So that there would be only one URL for updates and Eclipse platform could discover updates in the

Why are Spark Parquet files for an aggregate larger than the original?

由 荒凉一梦 提交于 2019-11-27 09:08:43
I am trying to create an aggregate file for end users to utilize to avoid having them process multiple sources with much larger files. To do that I: A) iterate through all source folders, stripping out 12 fields that are most commonly requested, spinning out parquet files in a new location where these results are co-located. B) I try to go back through the files created in step A and re-aggregate them by grouping by the 12 fields to reduce it to a summary row for each unique combination. What I'm finding is that step A reduces the payload 5:1 (roughly 250 gigs becomes 48.5 gigs). Step B

Distinguishing between delegation, composition and aggregation (Java OO Design)

由 谁说胖子不能爱 提交于 2019-11-27 08:59:38
问题 I am facing a continuing problem distinguishing delegation, composition and aggregation from each other, and identifying the cases where it's the best to use one over the other. I have consulted a Java OO Analysis and Design book, but my confusion still remains. The main explanation is this: Delegation : When my object uses another object's functionality as is without changing it. Composition : My object consists of other objects which in turn cannot exist after my object is destroyed-garbage
订阅 aggregation