nested

问题 I'm trying to run a query using Standard SQL Dialect (ie not Legacy SQL) on BigQuery. My query is: SELECT date, hits.referer FROM `refresh.ga_sessions_xxxxxx*` LIMIT 1000 But keep getting the error Error: Cannot access field referer on a value with type ARRAY<STRUCT<hitNumber INT64, time INT64, hour INT64, ...>> at [2:12] Anyone know the proper syntax? 回答1: if you are looking for all referers - try SELECT date, h.referer FROM `refresh.ga_sessions_xxxxxx*`, UNNEST(hits) as h 来源： https:/

问题 I'm trying to run a query using Standard SQL Dialect (ie not Legacy SQL) on BigQuery. My query is: SELECT date, hits.referer FROM `refresh.ga_sessions_xxxxxx*` LIMIT 1000 But keep getting the error Error: Cannot access field referer on a value with type ARRAY<STRUCT<hitNumber INT64, time INT64, hour INT64, ...>> at [2:12] Anyone know the proper syntax? 回答1: if you are looking for all referers - try SELECT date, h.referer FROM `refresh.ga_sessions_xxxxxx*`, UNNEST(hits) as h 来源： https:/

问题 I have a nested dictionary as below entry = { 0: {"Q": 0}, 1: {"W": 2, "E": 3, "N": 5, "S": 4, "Q": 0}, 2: { "N": { "Q": {"E"} } }, } When I try to access only the keys for the key 1 , I get the following: >>> print(entry[1].keys()) dict_keys(['W', 'E', 'N', 'S', 'Q']) But for key 2 it only returns the top key and not the nested key. >>> print(entry[2].keys()) dict_keys(['N']) Why is it not returning the nested key of the dictionary? 回答1: keys()doesn't work that way. keys() Return a new view

问题 I would like to convert a csv file into json with nested objects and nested array. The sample csv looks like below. My csv structure can be dynamic, but I am ok to keep it static to get the required format below. I know there are so many answers to similar questions, but none addressing my specific issue of nested objects. Id,name,nestedobject/id,nestedarray/0/name 1,name,2,namelist 2,name1,3,namelist1 I want the json like below, specifically having trouble with column 3 & 4 (nested objects)

问题 I would like to convert a csv file into json with nested objects and nested array. The sample csv looks like below. My csv structure can be dynamic, but I am ok to keep it static to get the required format below. I know there are so many answers to similar questions, but none addressing my specific issue of nested objects. Id,name,nestedobject/id,nestedarray/0/name 1,name,2,namelist 2,name1,3,namelist1 I want the json like below, specifically having trouble with column 3 & 4 (nested objects)

问题 I've been playing with json objects & using ReactJS. One of the json object represented by variable 'res'. How do I convert 'res' into 'b'. I'm also getting my json object 'res' from an api. I've reciprocated my problem over this link: https://codesandbox.io/s/epic-leaf-sznhx?file=/src/App.js const [res, setResult] = useState(); useEffect(() => { (async () => { axios.get("https://corona.lmao.ninja/v2/countries").then(response => { setResult(response.data); }); })(); }, []); How do I convert

问题 I want to post new data to server with this JSON: { "tgl_Lahir": "1990-12-18 00:00:00", "nama": "Joe", "keterangan": "Employee", "tempatLahir": "Los Angeles", "noPegawai": "111111", "golDarah": "0", "statusNikah": "0", "hubungans": { "id": "10" }, "agama": { "id_Agama": "1" }, "jeniskelamin": { "jenisKelamin": "1" } } Here's my ApiClientPOST.java: public class ApiClientPOST { private static Retrofit retrofit = null; public static Retrofit getClient(String url){ if(retrofit == null){ retrofit

问题 I've items in a parent-child-relation. Every child knows its parent but a parent doesn't know its children nor its grandchildren: items = [ {'id': 1, 'parent': None}, {'id': 2, 'parent': 1}, {'id': 3, 'parent': 2}, {'id': 4, 'parent': None}, {'id': 5, 'parent': 4}, ] I'm trying to build a dict which includes all item ids with a list of all its children, grandchildren and so on: all_children_of_items = { 1: [2, 3], # 2 = child, 3 = grandchild 2: [3], 3: [], 4: [5], 5: [6] } My current approach

问题 I had a requirement to convert a JSON response into a csv file. I was able to successfully use Tim Yates' excellent code from here: Groovy code to convert json to CSV file I now need to include the JSON's nested submap in the csv as well. The relationship between the map and submap is 1:1. I've been unable to get the correct syntax for a collect statement that will retrieve both the parsed map and submap key/values. Sample JSON {items= [ { created_at=2019-03-27 , entity_id=1 , extension

问题 I am using pyspark and I have a dataframe object df and this is what the output of df.printSchema() looks like root |-- M_MRN: string (nullable = true) |-- measurements: array (nullable = true) | |-- element: struct (containsNull = true) | | |-- Observation_ID: string (nullable = true) | | |-- Observation_Name: string (nullable = true) | | |-- Observation_Result: string (nullable = true) I would like to filter out all the arrays in 'measurements' where the Observation_ID is not '5' or '10'.