aggregation

Apache camel to aggregate multiple REST service responses

吃可爱长大的小学妹 提交于 2019-11-28 22:03:17
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 /my-service/scan/ Now on receiving this request @ESB, I want to call these two REST endpoints (callA

Transform vs. aggregate in Pandas

故事扮演 提交于 2019-11-28 20:35:27
问题 When grouping a Pandas DataFrame, when should I use transform and when should I use aggregate ? How do they differ with respect to their application in practice and which one do you consider more important? 回答1: consider the dataframe df df = pd.DataFrame(dict(A=list('aabb'), B=[1, 2, 3, 4], C=[0, 9, 0, 9])) groupby is the standard use aggregater df.groupby('A').mean() maybe you want these values broadcast across the whole group and return something with the same index as what you started

Combine/aggregate eclipse p2 repositories / extendable p2 repository

守給你的承諾、 提交于 2019-11-28 19:45:12
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 repository. What you are looking for is a composite p2 repository. You'll just need the following two files

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

拟墨画扇 提交于 2019-11-28 15:05:03
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 collected. Aggregation : My object consists of other objects which can live even after my object is

How to average/sum data in a day in SQL Server 2005

妖精的绣舞 提交于 2019-11-28 14:52:31
I'm trying to average data in SQL Server 2005 in a day. Here is what my database look like this if I use simple query as SELECT timestamp, FEED FROM ROASTER_FEED ORDER timestamp Data: timestamp Feed 02/07/2011 12:00:01 1246 02/07/2011 12:00:01 1234 02/07/2011 12:00:01 1387 02/07/2011 12:00:02 1425 02/07/2011 12:00:03 1263 ... 02/07/2011 11:00:01 1153 02/07/2011 11:00:01 1348 02/07/2011 11:00:01 1387 02/07/2011 11:00:02 1425 02/07/2011 11:00:03 1223 .... 03/07/2011 12:00:01 1226 03/07/2011 12:00:01 1245 03/07/2011 12:00:01 1384 03/07/2011 12:00:02 1225 03/07/2011 12:00:03 1363 I don't know how

Show all Elasticsearch aggregation results/buckets and not just 10

佐手、 提交于 2019-11-28 14:29:34
问题 I'm trying to list all buckets on an aggregation, but it seems to be showing only the first 10. My search: curl -XPOST "http://localhost:9200/imoveis/_search?pretty=1" -d' { "size": 0, "aggregations": { "bairro_count": { "terms": { "field": "bairro.raw" } } } }' Returns: { "took" : 2, "timed_out" : false, "_shards" : { "total" : 5, "successful" : 5, "failed" : 0 }, "hits" : { "total" : 16920, "max_score" : 0.0, "hits" : [ ] }, "aggregations" : { "bairro_count" : { "buckets" : [ { "key" :

Fill missing dates in records

一笑奈何 提交于 2019-11-28 14:06:35
I have a collection of ProductViews . ProductView { productId: '5b8c0f3204a10228b00a1745, createdAt: '2018-09-07T17:18:40.759Z', } And I have a query for fetching the daily views for a specific product. Query ProductView.aggregate([ { $match: { productId } }, { $project: { day: { $substr: ["$createdAt", 0, 10] } } }, { $group: { _id: "$day", count: { $sum: 1 }, time: { $avg: "$createdAt" }, } }, { $sort: { _id: 1 } }, { $project: { date: '$_id', views: '$count', }, }, ]).exec((err, result) => ...) Current Results [ { date: '2018-09-01', views: 1 }, { date: '2018-09-02', views: 3 }, { date:

Cumulative product in Spark?

回眸只為那壹抹淺笑 提交于 2019-11-28 13:13:11
I try to implement a Cumululative product in Spark scala but I really don't know how to it. I have the following dataframe: Input data: +--+--+--------+----+ |A |B | date | val| +--+--+--------+----+ |rr|gg|20171103| 2 | |hh|jj|20171103| 3 | |rr|gg|20171104| 4 | |hh|jj|20171104| 5 | |rr|gg|20171105| 6 | |hh|jj|20171105| 7 | +-------+------+----+ And I would like to have the following output Output data: +--+--+--------+-----+ |A |B | date | val | +--+--+--------+-----+ |rr|gg|20171105| 48 | // 2 * 4 * 6 |hh|jj|20171105| 105 | // 3 * 5 * 7 +-------+------+-----+ If you have any idea about how

Is correct relationships of class diagram in UML?

笑着哭i 提交于 2019-11-28 11:52:45
问题 The image shows the logistics of the Warehouse. Very very simplistic. What is its concept: There are documents: ReceivingWayBill , DispatchingWaybill , ReplacementOrder . They interact with the main classes: Warehouse , Counterparty , Item . And the Register class: ItemRemainsInWarehouse . It turns out, the document is confirmation of the operation, reception, sending, and so on. The Register simply stores information about the number of remaining goods. If you miss a lot of problems of this

aggregation using ffdfdply function in R

*爱你&永不变心* 提交于 2019-11-28 11:49:54
问题 I tried aggregation on large dataset using 'ffbase' package using ffdfdply function in R. lets say I have three variables called Date,Item and sales. Here I want to aggregate the sales over Date and Item using sum function. Could you please guide me through some proper syntax in R. Here I tried like this: grp_qty <- ffdfdply(x=data[c("sales","Date","Item")], split=as.character(data$sales),FUN = function(data) summaryBy(Date+Item~sales, data=data, FUN=sum)). I would appreciate for your