的u-SQL脚本搜索字符串，然后GROUPBY该字符串，并获得不同的文件

Question

我很新到u-SQL计数，试图解决

STR1 = \全球\欧洲\莫斯科\ 12345 \ FILE1.TXT

STR2 = \ global.bee.com \欧洲\莫斯科\ 12345 \ FILE1.TXT

STR3 = \全球\欧洲\阿姆斯特丹\ 54321 \ File1.Rvt STR4 = \ global.bee .com \ europe \ amsterdam \ 12345 \ File1.Rvt

case1： 我该如何得到“\ eur我想从str1和str2中取出（“\ europe \ Moscow \ 12345 \ File1.txt”），然后“Groupby（\ global \ europe \莫斯科\ 12345） “并采取不同的文件的数量从路径（ ”“ \欧洲\莫斯科\ 12345 \”）

所以输出会是这样的：

distinct_filesby_Location_Date

到解决上述情况我尝试了下面的u-sql代码，但不太清楚我是否在写正确的脚本：

@inArray = SELECT new SQL.ARRAY<string>(
       filepath.Contains("\\europe")) AS path 
    FROM @t; 

@filesbyloc = 
    SELECT [ID], 
     path.Trim() AS path1 
    FROM @inArray 
    CROSS APPLY 
    EXPLODE(path1) AS r(location); 

OUTPUT @filesbyloc 
TO "/Outputs/distinctfilesbylocation.tsv" 
USING Outputters.Tsv(); 

任何帮助，你会不胜感激。

Answer 1

这样做的一种方法是将要处理的所有字符串放在一个文件中，例如strings.txt并将其保存在U-SQL输入文件夹中。还有一个与你想要匹配的城市的文件，例如cities.txt。请尝试以下的U型SQL脚本：

@input = 
    EXTRACT filepath string 
    FROM "/input/strings.txt" 
    USING Extractors.Tsv(); 

// Give the strings a row-number 
@input = 
    SELECT ROW_NUMBER() OVER() AS rn, 
      filepath 
    FROM @input; 


// Get the cities 
@cities = 
    EXTRACT city string 
    FROM "/input/cities.txt" 
    USING Extractors.Tsv(); 

// Ensure there is a lower-case version of city for matching/joining 
@cities = 
    SELECT city, 
      city.ToLower() AS lowercase_city 
    FROM @cities; 


// Explode the filepath into separate rows 
@working = 
    SELECT rn, 
      new SQL.ARRAY<string>(filepath.Split('\\')) AS pathElement 
    FROM @input AS i; 

// Explode the filepath string, also changing to lower case 
@working = 
    SELECT rn, 
      x.pathElement.ToLower() AS pathElement 
    FROM @working AS i 
     CROSS APPLY 
      EXPLODE(pathElement) AS x(pathElement); 


// Create the output query, joining on lower case city name, display, normal case name 
@output = 
    SELECT c.city, 
      COUNT(*) AS records 
    FROM @working AS w 
     INNER JOIN 
      @cities AS c 
     ON w.pathElement == c.lowercase_city 
    GROUP BY c.city; 


// Output the result 
OUTPUT @output TO "/output/output.txt" 
USING Outputters.Tsv(); 

//OUTPUT @working TO "/output/output2.txt" 
//USING Outputters.Tsv(); 

我的结果：

HTH

Answer 2

以自由格式输入文件为TSV文件，不知道所有的列语义，这是一种编写查询的方法。请注意，我做出了评论中提供的假设。

@d = 
    EXTRACT path string, 
      user string, 
      num1 int, 
      num2 int, 
      start_date string, 
      end_date string, 
      flag string, 
      year int, 
      s string, 
      another_date string 
    FROM @"\users\temp\citypaths.txt" 
    USING Extractors.Tsv(encoding: Encoding.Unicode); 

// I assume that you have only one DateTime format culture in your file. 
// If it becomes dependent on the region or city as expressed in the path, you need to add a lookup. 
@d = 
SELECT new SqlArray<string>(path.Split('\\')) AS steps, 
     DateTime.Parse(end_date, new CultureInfo("fr-FR", false)).Date.ToString("yyyy-MM-dd") AS end_date 
FROM @d; 

// This assumes your paths have a fixed formatting/mapping into the city 
@d = 
SELECT steps[4].ToLowerInvariant() AS city, 
     end_date 
FROM @d; 

@res = 
SELECT city, 
     end_date, 
     COUNT(*) AS count 
FROM @d 
GROUP BY city, 
     end_date; 

OUTPUT @res 
TO "/output/result.csv" 
USING Outputters.Csv(); 

// Now let's pivot the date and count. 

OUTPUT @res2 
TO "/output/res2.csv" 
USING Outputters.Csv(); 
     @res2 = 
SELECT city, MAP_AGG(end_date, count) AS date_count 
FROM @res 
GROUP BY city; 

// This assumes you know exactly with dates you are looking for. Otherwise keep it in the first file representation. 
@res2 = 
SELECT city, 
     date_count["2016-11-21"]AS [2016-11-21], 
     date_count["2016-11-22"]AS [2016-11-22] 
FROM @res2; 

更新后得到了一些实例DATA IN私人电子邮件：基于数据

你发给我的（城市的提取和计数，你要么可以用做后合并为中概述Bob的回答是，您需要事先了解您的城市，或者从我的示例中的城市位置获取字符串，您不需要事先知道城市），您想要将行集枢转city, count, date进入行集date, city1, city2, ...的每行都包含每个城市的日期和计数。

你可以很容易地通过以下方式改变@res2计算调整我上面的例子：

// Now let's pivot the city and count. 
@res2 = SELECT end_date, MAP_AGG(city, count) AS city_count 
     FROM @res 
     GROUP BY end_date; 

// This assumes you know exactly with cities you are looking for. Otherwise keep it in the first file representation or use a script generation (see below). 
@res2 = 
SELECT end_date, 
     city_count["istanbul"]AS istanbul, 
     city_count["midlands"]AS midlands, 
     city_count["belfast"] AS belfast, 
     city_count["acoustics"] AS acoustics, 
     city_count["amsterdam"] AS amsterdam 
FROM @res2; 

注意，在我的例子，你需要看它枚举枢轴语句中的所有城市在SQL.MAP列中。如果这不是已知的，你将不得不首先提交一个脚本来为你创建脚本。例如，假设您的city, count, date行集位于文件中（或者您可以复制语句以在生成脚本和生成的脚本中生成行集），则可以将其写为以下脚本。然后将结果作为实际处理脚本提交。

// Get the rowset (could also be the actual calculation from the original file 
@in = EXTRACT city string, count int?, date string 
     FROM "https://stackoverflow.com/users/temp/Revit_Last2Months_Results.tsv" 
     USING Extractors.Tsv(); 

// Generate the statements for the preparation of the data before the pivot 
@stmts = SELECT * FROM (VALUES 
        ("@s1", "EXTRACT city string, count int?, date string FROM \"https://stackoverflow.com/users/temp/Revit_Last2Months_Results.tsv\" USING Extractors.Tsv();"), 
        ("@s2", "SELECT date, MAP_AGG(city, count) AS city_count FROM @s1 GROUP BY date;") 
       ) AS T(stmt_name, stmt); 

// Now generate the statement doing the pivot 
@cities = SELECT DISTINCT city FROM @in2; 

@pivots = 
SELECT "@s3" AS stmt_name, "SELECT date, "+String.Join(", ", ARRAY_AGG("city_count[\""+city+"\"] AS ["+city+"]"))+ " FROM @s2;" AS stmt 
FROM @cities; 

// Now generate the OUTPUT statement after the pivot. Note that the OUTPUT does not have a statement name. 
@output = 
SELECT "OUTPUT @s3 TO \"/output/pivot_gen.tsv\" USING Outputters.Tsv();" AS stmt 
FROM (VALUES(1)) AS T(x); 

// Now put the statements into one rowset. Note that null are ordering high in U-SQL 
@result = 
SELECT stmt_name, "=" AS assign, stmt FROM @stmts 
UNION ALL SELECT stmt_name, "=" AS assign, stmt FROM @pivots 
UNION ALL SELECT (string) null AS stmt_name, (string) null AS assign, stmt FROM @output; 

// Now output the statements in order of the stmt_name 
OUTPUT @result 
TO "/pivot.usql" 
ORDER BY stmt_name 
USING Outputters.Text(delimiter:' ', quoting:false); 

现在下载并提交它。