aggregation

问题 Pretty new to spark/scala. I am wondering if there is an easy way to aggregate an Array[Double] in a column-wise fashion. Here is an example: c1 c2 c3 ------------------------- 1 1 [1.0, 1.0, 3.4] 1 2 [1.0, 0,0, 4.3] 2 1 [0.0, 0.0, 0.0] 2 3 [1.2, 1.1, 1.1] Then, upon aggregation, I would end with a table that looks like: c1 c3prime ------------- 1 [2.0, 1.0, 7.7] 2 [1.2, 1.1, 1.1] Looking at UDAF now, but was wondering if I need to code at all? Thanks for your consideration. 回答1: Assuming the

问题 first at all, I´m aware that there were similiar asked questions, but none of the answers could solve my problem. Short look into my code: My Component.js looks like this routes: [ { pattern: "", //home page name: util.Constants.Tile, view: util.Constants.Tile, viewId: util.Constants.Tile, targetAggregation: "pages" //targetControl: "idAppControl" }, { pattern: "firstExample", name: util.Constants.FirstExample, view: util.Constants.FirstExample, viewId: util.Constants.FirstExample,

问题 I have data like that: object category country 495647 1 RUS 477462 2 GER 431567 3 USA 449136 1 RUS 367260 1 USA 495649 1 RUS 477461 2 GER 431562 3 USA 449133 2 RUS 367264 2 USA ... where one object appears in various (category, country) pairs and countries share a single list of categories. I'd like to add another column to that, which would be a category weight per country - the number of objects appearing in a category for a category, normalized to sum up to 1 within a country (summation

问题 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

问题 I'm working on a Laravel 5.2 project and I'm using Eloquent models, but I'm not sure how to approach to aggregation features. Let's say I have Product and Price models and a hasMany relationship, so a product can have multiple prices. Now, in my Product model I'd like a function that will give me an average price of the product. I found 2 ways to get the same result: 1.) Eloquent aggregation public function avg_price() { return $this->prices()->avg('price'); } 2.) MySql aggregation public

问题 I'm working on a Laravel 5.2 project and I'm using Eloquent models, but I'm not sure how to approach to aggregation features. Let's say I have Product and Price models and a hasMany relationship, so a product can have multiple prices. Now, in my Product model I'd like a function that will give me an average price of the product. I found 2 ways to get the same result: 1.) Eloquent aggregation public function avg_price() { return $this->prices()->avg('price'); } 2.) MySql aggregation public

问题 I have a data-set which contains observations for several weeks with 2 minutes frequency. I want to increase the time interval from 2 minute to 5 minute. The problem is that, frequency of the observations are not always the same. I mean, theoretically, every 10 minute there should be 5 observation but usually it is not the case. Please let me know how I can aggregate the observations based on average function and with respect to the time and date of the observations. In other words

问题 I'm dealing with this problem. I'm creating math problems, each one has response. For example. If my question is about the "result of 5x + 15 = 2?" , I'll be waiting just one answer (as integer). If my question is about says "give me the area and permiter of this shape" , I'll be waiting two answers (as doubles). In another one, I'll be waiting as response a string And anothers, I can have several answers or responses with various datatypes. My big question is. How would be the relation

问题 What I want to achieve is aggregation by unique pairs (city, STATE). As per Elasticsearch documentation The terms aggregation does not support collecting terms from multiple fields in the same document . Thus I created a nested agg like this: { "size": 0, "aggs": { "cities": { "terms": { "field": "address.city", "size": 12 }, "aggs": { "states": { "terms": { "field": "address.stateOrProvince" }, "aggs": { "topCity": { "top_hits": { "size": 1, "sort": [ { "price.value": { "order": "desc" }}]}}

问题 I have the following data frame in R: objects categories A 162 B 162 B 190 C 123 C 162 C 185 C 190 C 82 C 191 D 185 As you see there are objects and the categories they belong to. I would like to sum up the categories of each object in comma separated list to get a data frame which would look like this: objects categories A 162 B 162, 190 C 123, 162, 185, 190, 82, 191 D 185 How could I do this? 回答1: This can be done with any of the aggregation tools of your choice, I'll show an example using