u-sql

问题 I try create a custom parallel extractor, but i have no idea how do it correctly. I have a big files (more than 250 MB), where data for each row are stored in 4 lines. One file row store data for one column. Is this possible to create working parallely extractor for large files? I am afraid that data for one row, will be in different extents after file splitting. Example: ... Data for first row Data for first row Data for first row Data for first row Data for second row Data for second row

问题 I’ve a TSV file and one column is a json string, which has array of objects. I need to convert rows into multiple rows based on jsonarray. Can you please guide me to extract the data? Example row: Product ID Customers Azure SQL 465383 [{"Customer": "Dell", "Country": "US"},{"Customer": "HP","Country": "Germany"}] Output Expected: Product ID Customer Country Azure SQL 465383 Dell US Azure SQL 465383 HP Germany Thanks in advance! 回答1: You can use the JsonTuple method in the Microsoft.Analytics

问题 Can we append data in existing file in U-SQL? I have created a CSV file as output in U-SQL. I am writing another U-SQL query and I want to append the output of that query in the existing file. Is it possible? 回答1: It's not supported, and would go against the design of a robust, distributed, idempotent big data system (although you could implement that behaviour by reading the previous output as a rowset and do UNION ALL). The best way to deal with this is to use partitions properly, for

问题 Can we append data in existing file in U-SQL? I have created a CSV file as output in U-SQL. I am writing another U-SQL query and I want to append the output of that query in the existing file. Is it possible? 回答1: It's not supported, and would go against the design of a robust, distributed, idempotent big data system (although you could implement that behaviour by reading the previous output as a rowset and do UNION ALL). The best way to deal with this is to use partitions properly, for

问题 Is is possible to implement Loops (while/for) in U-SQL without using C#. If no, can anyone share the c# syntax to implement loops in u-sql. I am extracting files from a particular date to a date, but right now I am extracting this by writing file path manually. DROP VIEW IF EXISTS dbo.ReadingConsolidated; CREATE VIEW IF NOT EXISTS dbo.ReadingConsolidated AS EXTRACT ControllerID int?, sensorID int?, MeasureDate DateTime, Value float FROM "adl://datalake.azuredatalakestore.net/2015/7/1/Reading

问题 We can extend U-SQL scripts with R/Python code in Azure Data Lake Analytics, but how can we do it locally? 回答1: Install U-SQL Advanced Analytics extensions in your Data Lake Analytics Account 1.1 Launch your Azure Portal 1.2 Navigate to your Data Lake Analytics Account 1.3 Click Sample Scripts 1.4 Click More and select Install U-SQL Extensions 1.5 Wait until the extensions have finished installing (2GB) 1.6 Have you waited? Then go to your Data Lake Analytics Account 1.7 Navigate to your

问题 I am trying to run a one-way hash for a string column in USQL. Is there a way to do this inline? Most of the C# samples found online require multiple lines of code - which is tricky in USQL without a code-behind or compiled C# assembly. 回答1: Option 1 (Inline formula): The code below can be used to compile a SHA256 or MD5 on any string, and runs without any special dependencies and without needing a code-behind file. CREATE TABLE master.dbo.Test_MyEmail_Hashes AS SELECT cust.CustEmailAddr AS

问题 How to extract the attribute value from XML file using custom extractor using U-SQL job. I can able to extract the sub element values from XML file. sample Xml File: <?xml version="1.0" encoding="UTF-8"?> <Users> <User ID="001"> <FirstName>david</FirstName> <LastName>bacham</LastName> </User> <User ID="002"> <FirstName>xyz</FirstName> <LastName>abc</LastName> </User> </Users> I can able to extract Firstname and lastname using the below code.How can i get ID value as a part of csv file. Sample

问题 Been looking into using the Azure Data Lake Analytics functionality to try and manipulate some Gzip’d xml data I have stored within Azures Blob Storage but I’m running into an interesting issue. Essentially when using U-SQL locally to process 500 of these xml files the processing time is extremely quick , roughly 40 seconds using 1 AU locally (which appears to be the limit). However when we run this same functionality from within Azure using 5 AU’s the processing takes 17+ minutes. We are

问题 I'm trying to parse below Json file using USQL but keep getting error. Json file@ {"dimBetType_SKey":1,"BetType_BKey":1,"BetTypeName":"Test1"} {"dimBetType_SKey":2,"BetType_BKey":2,"BetTypeName":"Test2"} {"dimBetType_SKey":3,"BetType_BKey":3,"BetTypeName":"Test3"} Below is the USQL script, I'm trying to extract the data from above file. REFERENCE ASSEMBLY [Newtonsoft.Json]; REFERENCE ASSEMBLY [Microsoft.Analytics.Samples.Formats]; DECLARE @Full_Path string = "adl://xxxx.azuredatalakestore.net