aggregation

C++ : Association, Aggregation and Composition

回眸只為那壹抹淺笑 提交于 2019-12-02 15:38:24
I'm beginning to study OOAD and I'm having difficulty finding a C++ code example that'd illustrate how Association , Aggregation and Composition are implemented programmatically. (There are several posts everywhere but they relate to C# or java). I did find an example or two, but they all conflict with my instructor's instructions and I'm confused. My understanding is that in: Association: Foo has a pointer to Bar object as a data member Aggregation: Foo has a pointer to Bar object and data of Bar is deep copied in that pointer. Composition: Foo has a Bar object as data member. And this is how

Can more than one objects aggregate or acquaint or instantiate the same object?

二次信任 提交于 2019-12-02 13:51:29
Design Pattern by Gamma et al said Consider the distinction between object aggregation and acquaintance and how differently they manifest themselves at compile- and run-times. Aggregation implies that one object owns or is responsible for another object. Generally we speak of an object having or being part of another object. Aggregation implies that an aggregate object and its owner have identical lifetimes. Acquaintance implies that an object merely knows of another object. Sometimes acquaintance is called "association" or the "using" relationship. Acquainted objects may request operations of

NSFetchRequest for groupby and count combination

柔情痞子 提交于 2019-12-02 12:31:30
I'm new in Core Data, so i want to write simple fetch request to group result by some field and also a count of another field in that group. so for example i have products table i want to retrieve all grouped products by date and the count of product, the simple query in sql is like SELECT DateRegistered,Count(*) FROM Products Group By DateRegistered Your best bet is the very flexible NSFetchedResultsController . You would have a fetch request that simply fetches the Product entity sorted by the date attribute. Please note that core data attributes should start with a small letter. You would

Aggregating key value pair in python

喜夏-厌秋 提交于 2019-12-02 11:42:32
I have a question related to python code. I need to aggregate if the key = kv1, how can I do that? input='num=123-456-7890&kv=1&kv2=12&kv3=0' result={} for pair in input.split('&'): (key,value) = pair.split('=') if key in 'kv1': print value result[key] += int(value) print result['kv1'] Thanks a lot!! I'm assuming you meant key == 'kv1' and also the kv within input was meant to be kv1 and that result is an empty dict that doesn't need result[key] += int(value) just result[key] = int(value) input = 'num=123-456-7890&kv1=1&kv2=12&kv3=0' keys = {k: v for k, v in [i.split('=') for i in input.split(

Aggregating over _field_names in elasticsearch 5

↘锁芯ラ 提交于 2019-12-02 11:18:59
问题 I'm trying to aggregate over field names in ES 5 as described in Elasticsearch aggregation on distinct keys But the solution described there is not working anymore. My goal is to get the keys across all the documents. Mapping is the default one. Data: PUT products/product/1 { "param": { "field1": "data", "field2": "data2" } } Query: GET _search { "aggs": { "params": { "terms": { "field": "_field_names", "include" : "param.*", "size": 0 } } } } I get following error: Fielddata is not supported

How is instantiation different from aggregation and from acquaintance? [closed]

时光总嘲笑我的痴心妄想 提交于 2019-12-02 10:14:07
How is instantiation different from aggregation and from acquaintance? (I have undertood the difference between aggregation and acquaintance, see the quote from the book here ) Instantiation and aggregation seem similar to each other. when object A instantiates or aggregate object B, it seems to me that object A must have a field member referencing object B. Both instantiation and aggregation seem to me not to allow more than one objects to instantiate or aggregate the same object. There might also be other aspects which I miss to consider I have asked What does "a class instantiates another"

In spark iterate through each column and find the max length

笑着哭i 提交于 2019-12-02 09:34:50
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? Plain and simple: import org.apache.spark.sql.functions._ val df = spark.table("TEST_TABLE") df.select(df.columns.map(c => max

dplyr count observations per day

吃可爱长大的小学妹 提交于 2019-12-02 08:14:17
问题 I have the following data Name Date Message Ted Foe 2011-06-10T05:06:30+0000 I love this product Sina Fall 2011-06-10T05:07:33+0000 Not my type of product Steve Hoe 2011-06-11T05:06:30+0000 Great Discussion! Thanks Selda Dee 2011-06-13T05:12:30+0000 Seen elsewhere Steven Hoe 2011-06-13T03:17:31+0000 Where? Selda Dee 2011-06-13T05:17:56+0000 Tinder I want to aggregate by days so that I end up with a time series like this Date Number of Posts 2011-06-10 2 2011-06-11 1 2011-06-12 0 2011-06-13 3

Pandas: Calculate mean leaving out own row's value

被刻印的时光 ゝ 提交于 2019-12-02 08:00:43
问题 I want to calculate means by group, leaving out the value of the row itself. import pandas as pd d = {'col1': ["a", "a", "b", "a", "b", "a"], 'col2': [0, 4, 3, -5, 3, 4]} df = pd.DataFrame(data=d) I know how to return means by group: df.groupby('col1').agg({'col2': 'mean'}) Which returns: Out[247]: col1 col2 1 a 4 3 a -5 5 a 4 But what I want is mean by group, leaving out the row's value. E.g. for the first row: df.query('col1 == "a"')[1:4].mean() which returns: Out[251]: col2 1.0 dtype:

Creating a mongo view that depends on the current time

时光毁灭记忆、已成空白 提交于 2019-12-02 05:51:29
问题 I have a collection that has a date field and I want to create a mongo view that filter all the documents by the current date. For example, I want my view to contain all the documents of the last 7 days. I have a javascript script that creates the view with aggregation pipeline. I used javascript method- new Date() to write the condition of the last 7 days: { "$lt": [ {"$subtract": [new Date(), "$DateOfDocument"]}, // difference in milliseconds 1000 * 60 * 60 * 24 * 7 // 7 days in