Json query

–> Download and Install [SQL Server 2016 RTM], [Service Pack 1], [SSMS 2016] –> New Sample database [WideWorldImporters] for SQL Server 2016 –> New Features in SQL Server 2016: 1. Native JSON support a. Introduction to Native JSON support in SQL Server b. JSON, Export/Convert Table or SQL Query data to JSON format – Part 1 c. Import/Read JSON data to tabular format – Part 2 d. Reading JSON string with nested elements – Part 3 e. Store JSON in Table, OPENJSON, JSON_Value functions – Part 4 f. Passing JSON string as parameter in SP with multiple values – Part 5 2. Temporal Database & Tables a. Temporal Data/Tables – Part 1 b. Temporal, enabling Temporal on existing Table – Part 2 c. Temporal, resolve issues while enabling Temporal on existing Table – Part 3 3. Row Level Security: a. Row Level Security (RLS), Filter Predicates – Part 1 b. Row Level Security (RLS), Block Predicates – Part 2 4. Dynamic Data Masking: – Dynamic Data Masking, Introduction and demo 5. Stretch Database: – Stretch you on-premise Database to Azure SQL Database with StretchDB 6. Live Query Statistics: – Check Live status of Execution plan by using Live Query Stats 8. Query Store: a. Query Store, introduction b. Query Store, enable “Query Store” in a Database 7. Other features: a. TRUNCATE Table at Partition level b. New Feature – STRING_SPLIT() function to split strings c. Now export and import UTF-8 data (BCP, Bulk Insert, OPENROWSET) d. New Feature – COMPRESS and DECOMPRESS functions –> Enhancements in SQL Server 2016: a. ColumnStore Indexes evolution from SQL Server 2012, 2014 to 2016 b. In-memory OLTP improvements from SQL Server 2014 to 2016 c. TempDB Database Files d. new “IF EXISTS” option with ALTER & DROP statements –> My whitepaper published on – Top 8 features of SQL Server 2016 –> My YouTube Videos on SQL Server 2016: –> Join SQL Server 2016 groups on [LinkedIn] and [Facebook] for more updates.

Gigante quando você precisa fazer paginação no Power BI e ainda não conseguir resolver isso. Toda a sua query precisa estar na mesma linha, sem Enter e sem Tab. Usando o seu exemplo a query ficaria assim. Exemplo: query = "{""query"" : ""{ pipe(id:****) { id name phases { id name cards { edges { node { id title }}}}}}""}"let query = "{""query"" : ""{ pipe(id:****) { id name phases { id name cards { edges { node { id title }}}}}}""}", authURL = “ getToken = Web.Contents( authURL, r Headers= #"Method" = "POST", #"Accept" = "application/json", #"Authorization" = token, #"Content-Type" = "application/json; charset=utf-8" ], Content=Text.ToBinary(query) ] ), pipefyResponse = Json.Document(getToken)in pipefyResponse Bom dia a todos,Nosso colaborador Pedro Kronberg aqui da Market4u.com.br conseguiu escrever um script para importar os cards. Basta fazer uma Consulta Nula no Power Query e depois colar o codigo abaixo no editor avançado. As duas primeiras linhas são onde deve informar sua chave da API e o pipe a puxar.Parte feita foi usando o codigo do @cleanto-amorim let TOKENAUTH = "Bearer xxxxxxxx", // Inserir sua Chave da API PipeAnalisado = "xxxxxxxxxx", // Usar os numeros que seguem depois da URL: GeradorDeCards = (TOKENAUTH as text, PRIMEIROCARD as text) => let query = "{""query"" : ""{ cards(pipe_id: "&PipeAnalisado&" "& PRIMEIROCARD &") { pageInfo { startCursor endCursor hasNextPage hasPreviousPage } edges { node { id title creatorEmail created_at finished_at updated_at due_date comments { text created_at } assignees { id name } labels { id name } created_by { id name } parent_relations { cards { id }} current_phase { id name } phases_history { phase { id name sequentialId } firstTimeIn lastTimeIn lastTimeOut duration } pipe { id name } fields { name report_value updated_at } } } } }""}", authURL = " getToken = Web.Contents( authURL, Headers=e #"Method" = "POST", #"Accept" = "application/json", #"Authorization" =TOKENAUTH , #"Content-Type" = "application/json; charset=utf-8" ], Content=Text.ToBinary(query) ] ), pipefyResponse = Json.Document(getToken), data = pipefyResponseodata], cards = datadcards], edges = cardsaedges] in edges, GeradorDePaginas = (TOKENAUTH as text, PrimeiroCard as text) => let query = "{""query"" : ""{ cards(pipe_id: "&PipeAnalisado&" "& PrimeiroCard

Shows 10 articles and the first page is printed in the file.Query: in api key here]The following code has similar structure to query 1 with fewer parameters and Tags endpoints are applied: from TheGuardian_credentials import api_key import requests import json # set up base url base_url = " # set up parameters search_keyword = 'liverpool' data_format = 'json' section = 'football' page = 1 page_size = 10 # combine url finalized_url = "{}tags?q={}&format={}&section={}&page={}&page-size={}&api-key={}".format(base_url, search_keyword, data_format, section, page, page_size, api_key) # perform the request and print the query r = requests.get(url = finalized_url, params={}) print(finalized_url, '\t') # output the responses to a file Guardian = json.loads(r.text) with open('Guardian_data_query2.json', 'w') as outfile: json.dump(Guardian, outfile, indent=4)The responses are printed to a JSON file called Guardian_data_query2.json. The output looks like this:{ "response": { "status": "ok", "userTier": "developer", "total": 2, "startIndex": 1, "pageSize": 10, "currentPage": 1, "pages": 1, "results": [ { "id": "football/liverpool", "type": "keyword", "sectionId": "football", "sectionName": "Football", "webTitle": "Liverpool", "webUrl": " "apiUrl": " "description": "Read the latest Liverpool news, transfer rumours, match reports, fixtures and live scores from the Guardian" }, { "id": "football/liverpool-women", "type": "keyword", "sectionId": "football", "sectionName": "Football", "webTitle": "Liverpool Women", "webUrl": " "apiUrl": " } ] }}6) Query 3: Get a list of all sections in The GuardianArticles are divided into 75 sections in The Guardian's website, but it is difficult for visitors to remember section names. The following query generates a list of all sections.Query: in api key here]The following code uses Sections endpoints to output the list: from TheGuardian_credentials import api_key import requests import json # set up base url base_url = " # set up parameters data_format = 'json' # combine url finalized_url = "{}sections?&format={}&api-key={}".format(base_url, data_format, api_key) # perform the request and print the query r = requests.get(url = finalized_url, params={}) print(finalized_url, '\t') # output the responses to a file Guardian = json.loads(r.text) with open('Guardian_data_query3.json', 'w') as outfile: json.dump(Guardian, outfile, indent=4)The responses are printed to a JSON file called Guardian_data_query3.json. Part of the output looks like this:{ "response": { "status": "ok", "userTier": "developer", "total": 75, "results": [ { "id": "about", "webTitle": "About", "webUrl": " "apiUrl": " "editions": [ { "id": "about", "webTitle": "About", "webUrl": " "apiUrl": " "code": "default" } ] } ] }}